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Language Origins and Evolution

Python and Golang have different roots but share a focus on simplicity and readability. Both languages emerged to solve specific programming challenges of their time.

Python: Creation and Growth

Python was born in 1991, thanks to Guido van Rossum. He wanted to create a language that was easy to read and write. Python’s design philosophy emphasizes code readability with its use of whitespace.

You’ll find Python’s syntax is clear and expressive. It’s often said that Python reads like English. This makes it a great choice for beginners and experts alike.

Over the years, Python has grown into a versatile language. It’s used in web development, data science, and AI. Its large community has created many libraries and frameworks.

Golang: A Modern Contender

Golang, or Go, is a newer kid on the block. Google developed it in 2009 to address issues they faced with other languages. The creators wanted a language that was fast, reliable, and easy to use.

You’ll notice Go’s syntax is inspired by C, but it’s simpler. It’s designed for efficiency and ease of use in large-scale projects.

Go shines in concurrent programming. It has built-in support for goroutines and channels. These features make it great for writing efficient, scalable programs.

Since its release, Go has gained popularity in system programming and web development. It’s also making waves in AI development due to its speed and simplicity.

Core Language Features and Syntax

Python and Golang have distinct approaches to syntax and language design. Each offers unique features that can impact AI engineering tasks.

Python’s Elegant Syntax

Python is known for its readable and expressive code. You’ll find its syntax easy to learn and use. It uses indentation to define code blocks, making your AI projects visually clean.

Python supports dynamic typing. This means you don’t need to declare variable types. It can speed up your development process for AI prototypes.

The language offers a wide range of built-in data structures. Lists, dictionaries, and sets are powerful tools for handling complex AI data.

Python’s list comprehensions let you create new lists based on existing ones in a single line. This feature is handy for data processing in AI tasks.

Golang’s Simplicity and Clarity

Golang takes a different approach with its straightforward syntax. You’ll notice it uses curly braces to define code blocks, similar to C or Java.

Go is statically typed, which can help catch errors early in your AI projects. It also has a fast compile time, letting you quickly test and iterate your code.

The language emphasizes simplicity. It has fewer keywords and constructs compared to many other languages. This can make your AI codebase more manageable.

Go’s built-in concurrency support through goroutines and channels is a standout feature. It allows you to efficiently handle parallel processing in AI applications.

Performance and Speed Advantages

Python and Go have different strengths when it comes to speed and performance. Let’s look at how each language stacks up for AI engineering tasks.

Python’s Execution Time

Python is known for its ease of use, but it can be slower than compiled languages. As an interpreted language, Python code is read and executed line by line. This can lead to longer run times for complex AI algorithms.

You might notice Python’s speed limitations when working with large datasets or running intensive machine learning models. The Global Interpreter Lock (GIL) in CPython can also limit true parallel processing.

But Python has ways to boost speed. You can use libraries like NumPy and Pandas that are optimized for numerical operations. There are also Just-In-Time (JIT) compilers like Numba that can speed up Python code.

Golang’s Efficiency

Go shines when it comes to speed and performance. As a compiled language, Go turns your code directly into machine code. This means faster execution times, especially for CPU-intensive tasks.

You’ll find Go particularly useful for AI apps that need to handle lots of data quickly. Its built-in concurrency features let you easily write programs that use multiple CPU cores.

Go’s efficiency extends to memory usage too. It has a garbage collector that manages memory automatically, but with less overhead than Python. This can be a big plus when you’re working with large AI models or datasets.

For tasks like high-performance networking or parallel processing, Go’s speed advantage over Python becomes clear.

Concurrent Programming Capabilities

Python and Go handle concurrency differently. This affects how each language performs when running multiple tasks at once.

Python’s Threading and GIL

Python uses threads for concurrent programming. But there’s a catch – the Global Interpreter Lock (GIL). This lock makes sure only one thread runs Python code at a time.

The GIL helps keep Python’s memory safe. But it can slow things down when you’re trying to do lots of tasks at once. It’s like having many workers, but only one can work at a time.

For CPU-heavy tasks, the GIL can be a real problem. It stops Python from using multiple cores fully. But for I/O tasks like web scraping, it’s not as big a deal.

There are ways around the GIL. You can use multiprocessing instead of threading. Or you can use async programming with libraries like asyncio.

Golang’s Concurrency Model

Go takes a different approach with goroutines and channels. Goroutines are like super lightweight threads. You can start thousands of them without slowing your system down.

Here’s how easy it is to start a goroutine:

go myFunction()

Channels let goroutines talk to each other safely. They help you avoid common bugs in concurrent code.

Go’s concurrency model makes it great for parallel processing. You can easily use all your computer’s cores. This is super helpful for AI tasks that need lots of number crunching.

Go also handles I/O tasks well. You can have many goroutines waiting for network responses without blocking your whole program.

Applications in AI and Machine Learning

Python and Go offer unique strengths for AI and machine learning tasks. Each language has found its niche in different aspects of AI development and deployment.

Python’s Data Science Dominance

You’ll find Python at the heart of most data science and AI projects. Its rich ecosystem of libraries makes it a go-to choice. With NumPy and Pandas, you can easily manipulate and analyze large datasets.

For machine learning, Python shines bright. You’ve got powerful tools like:

• TensorFlow
• PyTorch
• scikit-learn
• Keras

These libraries let you build and train complex models with ease. Want to create a neural network? Python’s got you covered. Need to run a random forest algorithm? It’s just a few lines of code away.

Python’s simplicity also makes it great for prototyping AI algorithms. You can quickly test ideas and iterate on your models.

Golang’s Role in AI Engineering

While Python dominates in data science, Go is making waves in AI engineering. You’ll appreciate Go’s speed and efficiency when deploying AI models at scale.

Go’s strong performance makes it ideal for:

• Building high-performance web apps with AI features
• Handling large workloads and traffic for AI services
• Creating efficient microservices for AI systems

Go’s compiled nature and optimized garbage collector give it an edge in runtime efficiency. This means your AI apps can handle more requests with less hardware.

You might use Go to build the backend infrastructure that supports your AI models. It’s great for tasks like data preprocessing and API development for machine learning services.

Library Ecosystem and Frameworks

Python and Go offer different libraries and tools for AI engineering. Each language has its strengths when it comes to resources for developers.

Expansive Python Libraries

Python shines with its vast ecosystem of libraries for AI and machine learning. You’ll find popular frameworks like TensorFlow and PyTorch that make complex AI tasks easier.

These libraries let you quickly prototype and develop AI models. With scikit-learn, you can easily implement machine learning algorithms. NumPy and Pandas help with data manipulation and analysis.

For web development, you have options like Flask and Django. These frameworks integrate well with AI libraries, allowing you to build full-stack AI applications.

Growing Golang Resources

While not as extensive as Python’s, Go’s AI ecosystem is expanding. You’ll find libraries like GoLearn for machine learning and Gorgonia for neural networks.

Go’s standard library is robust, providing strong support for web development and data processing. This can be helpful when building AI-powered applications.

Third-party packages are emerging to fill gaps in AI capabilities. Libraries like gonum offer numerical computing tools similar to NumPy in Python.

Go’s performance makes it attractive for AI tasks requiring speed. You might find it useful for deploying models in production environments.

Use Cases and Industry Adoption

Python and Golang have found their places in different industries. Each language shines in specific areas, with Python dominating some sectors while Golang makes inroads in others.

Python in Various Industries

Python is a go-to language in many fields. You’ll find it used widely in:

Data Science: Python’s libraries like NumPy and Pandas make it perfect for data analysis.

AI and Machine Learning: TensorFlow and PyTorch are popular Python frameworks for AI projects.

Web Development: Django and Flask help create robust web apps quickly.

Finance: Python’s data processing abilities make it ideal for financial modeling.

Education: Its simple syntax makes Python great for teaching coding basics.

Healthcare applications often use Python for data analysis and research. In manufacturing, Python helps with process automation and quality control.

Golang’s Industry Presence

Golang is gaining ground in several key areas:

Cloud Services: Google, the creator of Go, uses it extensively in their cloud offerings.

DevOps: Go’s speed makes it great for building DevOps tools and infrastructure.

Networking: Go’s concurrency model is perfect for handling multiple network connections.

Microservices: You can build efficient, scalable microservices with Go.

System Programming: Go’s low-level capabilities make it suitable for system-level programming.

In e-commerce, Go powers backend systems for fast transaction processing. Real estate firms use Go for property management systems and data processing tools.

Scalability and Cloud Integration

Python and Go both offer great options for building scalable AI systems in the cloud. They each have strengths that suit different cloud architectures and deployment models.

Python and Scalable Systems

Python shines for data-heavy AI workloads that need to scale up. Its rich ecosystem of libraries like NumPy and Pandas make it easy to process large datasets. You can use Python with big data tools like Apache Spark to crunch massive amounts of data across clusters.

For web-based AI apps, Python frameworks like Django and Flask let you quickly build scalable backends. These integrate well with cloud platforms for easy deployment and scaling.

Python works great with container tech too. You can package your Python AI apps in Docker containers and deploy them to Kubernetes clusters. This gives you a flexible, scalable infrastructure for your AI systems.

Golang for Cloud-Native Applications

Go excels at building cloud-native microservices. Its fast compile times and small binaries make it ideal for containerized apps. You can package Go services in tiny Docker images for quick deployment.

Go’s built-in concurrency makes it great for high-throughput AI systems. You can easily spin up thousands of goroutines to handle parallel processing tasks. This efficient runtime lets Go handle huge workloads.

Go integrates smoothly with cloud platforms and tools. Major cloud providers offer Go SDKs for their services. You’ll find it easy to work with cloud storage, messaging, and other key components.

Google’s new Genkit framework makes Go even more powerful for AI. It helps you build scalable AI apps that leverage Go’s performance advantages.

Frequently Asked Questions

Python and Go both have strengths for AI engineering. Let’s explore some common questions about using these languages for machine learning and deep learning projects.

Which language do AI engineers prefer, Python or Go?

Most AI engineers still prefer Python. It has a huge ecosystem of libraries like TensorFlow and PyTorch. You’ll find tons of tutorials and resources for Python AI development.

Is Go gaining popularity in the machine learning field?

Go is growing in popularity for AI. More developers are using it for machine learning projects. Its speed and concurrency make it appealing for certain AI tasks.

What are the advantages of Python over Go for AI development?

Python has way more AI libraries and frameworks. It’s easier to prototype quickly. The syntax is simpler, so you can focus on algorithms instead of language quirks.

Can you use Golang for deep learning projects?

Yes, you can use Go for deep learning. There are some libraries available. But Python still dominates this area. You might need to write more code yourself in Go.

How does the performance of Go compare to Python in AI applications?

Go is generally faster than Python. It’s great for high-performance AI apps. Go’s speed shines in tasks like data processing or serving models.

What’s the learning curve like for Go if I’m already experienced in Python for AI?

You’ll find Go’s syntax different from Python. It’s statically typed and compiled. The concepts are similar, but you’ll need to learn new ways to structure your code. Expect a moderate learning curve.

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Golang fans argue that people flock from Python to the newer and faster language Golang, also known as Go. Is this true? Not really. See this search volume comparison from Google Trends:

Go is a much newer language than Python, released by Google in 2009, and it has many advantages over many other programming languages. Golang is an excellent language, although not so one-sidedly better than Python that Python will go away any time soon.

Python, released back in 1991, still is the dominant 800-pound gorilla in the space with many advantages over the younger Go. Despite how fast computer technology changes, programming languages do not become obsolete quickly. Many languages much older than Python are still in common use today. Since Go is already well established as a successful language, Go may also last for decades.

As you go over the article, you can also play my quick 59 seconds (well–it’s really a bit more) video:

Let’s compare the language features to see which programming language is, in fact, easier to learn and more powerful, Python vs. Go:

Language Feature Comparison: Go vs Python Syntax

Python is generally considered easier to learn than Golang. Python’s extensive libraries and user-friendly tutorials make it accessible to beginners.

Here’s a more fine-grained comparison of the language features:

Feature	Python	Go
Syntax Simplicity	Known for its simple and readable syntax.	Clean and straightforward but might require adjustment.
Indentation	Enforces indentation, making code visually consistent.	Uses braces {} for code blocks.
Variable Declaration and Initialization	Dynamic typing, no need for explicit type declaration.	Requires explicit type or uses type inference with :=.
Error Handling	Uses exceptions, which can be more intuitive for beginners.	Error values are returned and checked explicitly.
Pointers	No direct pointer manipulation.	Uses pointers, but safer than languages like C.
Functions	Supports default and variable-length arguments.	Functions are more strict, no default arguments.
Object-Oriented Features	Supports classes, inheritance, and polymorphism.	Does not have classes, but uses interfaces and structs.
Concurrency	Not built-in; requires external libraries or multi-threading.	Native support with goroutines and channels.
Modules and Packages	Uses modules and packages, with a hierarchical structure.	Flat package structure, avoiding cyclical dependencies.
Documentation	Extensive docs with many examples. Interactive shell available.	Comprehensive documentation, with a built-in tour.
Slices vs Lists	Uses lists as built-in, resizable arrays.	Uses slices which are more flexible than arrays.
Map vs Dictionary	Uses dictionaries (dict) for key-value pairs.	Uses maps (map) for key-value pairs.

Python is often heralded as one of the easiest languages to learn, particularly for beginners. Its syntax closely resembles human language, making it highly readable and relatable. The enforced indentation ensures clean code, while dynamic typing means newcomers don’t have to dive deep into understanding types from the get-go.

Python’s free libraries and good commonly used tutorials make it easy to learn. The syntax is also easy to learn in Python.

Most languages require you to use an unnecessarily large number of symbols. This requirement can frustrate a novice coder, as they will place a semicolon or some other symbol incorrectly and break their program. Python minimizes the number of brackets, commas, and other symbols required.

Python’s error handling with exceptions is intuitive, and its vast standard library allows novices to accomplish a lot without diving into external libraries. Furthermore, Python’s expansive community and many learning resources bolster its beginner-friendly reputation.

One example is our own free Python cheat sheets:

On the power and versatility front, both Python and Go stand strong, albeit in different arenas. Python’s dynamic nature, coupled with its extensive standard library, equips it for a myriad of applications, spanning from web development to data science and AI. Its rich array of libraries and frameworks amplifies its capabilities.

For example, the OpenAI API in the rapidly growing space of large language models (LLMs) uses Python and not Go.

Go, in contrast, excels in scenarios demanding performance, scalability, and concurrency. Its built-in concurrency with goroutines and channels simplifies concurrent programming. The statically typed and straightforward nature of Go ensures that vast codebases remain manageable.

Being compiled to machine code, Go often outpaces interpreted languages in performance. It’s a favorite for system programming and applications necessitating high concurrency.

TLDR: If ease of learning is the metric, Python takes the crown. However, in terms of power, both languages are formidable, with their strengths tailored to specific use cases such as machine learning and data science (Python) versus system programming and apps with high concurrency (Golang).

Which Language Pays Better?

How much does a Python Developer earn in the USA? On average, a Python developer’s annual salary in the USA stands at $124,748 or $59.97 per hour. Beginners typically start at $103,175 annually, whereas seasoned professionals can earn as much as $156,000 a year.

How much does a Golang Developer earn in the USA? Typically, a Golang developer in the USA receives an annual salary of $135,000 or an hourly rate of $64.90. Those at the entry level can expect around $116,392 per year, while highly experienced professionals might earn up to $170,000 annually.

A Python developer in the USA earns an average of $124,748 annually or $59.97 per hour. In contrast, a Golang developer’s average salary is $135,000 per year or $64.90 per hour. From this comparison, it appears that Golang developers, on average, earn a slightly higher salary than Python developers in the USA.

However, it’s important to consider other factors beyond just the immediate salary. Python has a broader network effect and dominance in various domains, especially in data science, artificial intelligence, and web development. Its widespread use and adaptability mean that there are potentially more job opportunities and a broader range of projects available for

Python developers. For instance, advanced technologies like large language models predominantly use Python.

Recommended: Alien Technology: Catching Up on LLMs, Prompting, ChatGPT Plugins & Embeddings

Given Python’s extensive ecosystem and broader application, it might be a safer bet for individuals looking at long-term career prospects and versatility in the tech industry. While Golang offers a competitive salary, Python provides both a competitive pay scale and a wider array of opportunities due to its established presence and versatility.

Speaking of which…

Python vs. Golang: A Duel of Network Effects

The power of network effects becomes evident, particularly concerning documentation, libraries, and the vast dependencies of applications. In this context, Python undoubtedly emerges as the victor.

Python’s Rich Tapestry of Libraries

Arguably, one of Python’s most commendable strengths is the sheer volume and quality of libraries it offers. Its legacy, dating back to 1991, has fostered a robust ecosystem.

The language’s innate simplicity and flexibility have spurred tens of millions of developers, educators, and authors to contribute and expand its library repertoire over the years.

Whether you’re venturing into data science, AI, or web development, Python’s standard libraries often provide a strong foundation. But if they fall short, the community is armed with third-party libraries, each crafted with precision and expertise. Django, Flask, Streamlit, and Pandas are just a few names in the vast sea of Python’s third-party offerings.

Python has been around since 1991, and since Python appeared, programmers have built vast numbers of free libraries. Many of these libraries are useful for AI programmers. Python libraries include code for datasets, for creating new algorithms, and for processing the most complex data. The TensorFlow library, the most popular library for AI programmers, is for the Python language.

On the flip side, Golang boasts a collection of potent libraries that empower developers to craft efficient applications. However, when juxtaposed with Python’s vastness, it feels somewhat dwarfed.

Documentation and Learning Resources

Python’s extensive lineage, combined with its global acceptance, has led to an abundance of documentation and learning resources. From beginners to seasoned pros, everyone can find guidance tailored to their proficiency level.

Python’s official documentation is a treasure trove of knowledge, and countless online forums, courses, and books further amplify the learning experience.

Go, being relatively younger, has made commendable strides in documentation. The community is active, and resources are consistently growing, but it hasn’t reached Python’s monumental scale yet.

Open-Source Goldmine

Python’s open-source ethos is another feather in its cap. Developers, be it novices or experts, can effortlessly access and modify a plethora of open-source applications. This not only fosters learning but also accelerates the development of commercial-grade applications. The ability to stand on the shoulders of giants, learning from and iterating upon their work, is a privilege that Python offers like no other.

TLDR: While Go showcases promise and efficiency, Python’s network effects, enriched by its history and global community, make it an unparalleled powerhouse in terms of libraries, documentation, and open-source contributions.

Python Is More Concise Than Go

If you’ve read my book Python One-Liners, you know that I love concise code. Python is the perfect language to write efficient and concise code.

Here are a few examples:

Print Hello World

print("Hello, World!")

package main
import "fmt"
func main() {
    fmt.Println("Hello, World!")
}

Defining a Function to Calculate Factorial

def factorial(n):
    return 1 if n == 0 else n * factorial(n-1)

package main
func factorial(n int) int {
    if n == 0 {
        return 1
    }
    return n * factorial(n-1)
}

Reading a File and Printing its Content

with open('file.txt', 'r') as f:
    print(f.read())

package main
import "io/ioutil"
import "fmt"
func main() {
    content, _ := ioutil.ReadFile("file.txt")
    fmt.Println(string(content))
}

Iterating Over a List (or Slice) and Printing Each Element

for item in ['a', 'b', 'c']:
    print(item)

package main
import "fmt"
func main() {
    items := []string{"a", "b", "c"}
    for _, item := range items {
        fmt.Println(item)
    }
}

Defining a Map (or Dictionary) and Accessing a Value by Key

data = {'name': 'John', 'age': 30}
print(data['name'])

package main
import "fmt"
func main() {
    data := map[string]interface{}{"name": "John", "age": 30}
    fmt.Println(data["name"])
}

You can observe that Python generally has a more concise syntax, especially for shorter tasks. Go, on the other hand, requires more boilerplate (like package and import statements), but its explicitness can make the code clearer in some complex applications.

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Quick Overview of the Main Differentiations (Go vs Python)

Golang Advantages:

• Speed: Compiled language, faster than Python. Code translated into bytecode before execution.
• Concurrency: Supports running multiple scripts simultaneously. Superior to Python’s weak concurrency.
• Growing Libraries: Rapidly increasing number of AI-related libraries.
• Suitability for Large Projects: Minimizes errors and easier to debug.
• Mathematical Calculations: Significantly faster than Python for math.

Golang Disadvantages:

• Library Extensiveness: Less extensive than Python’s.
• Difficulty in AI: Requires specialized skills, especially for multithreading.

Why Use Golang in 2023?

• Familiar Syntax: Similar to C and other C-like languages.
• Limited Commands: Entire language can be learned without constant documentation checks.
• Fast Compilation: Compiles quicker than older languages like C.

Python Advantages:

• Learning Resources: Abundant tutorials for beginners and experts.
• Integrated Development Environment (IDE): Superior debugging and running capabilities.
• Supportive Community: Active and helpful for both new and experienced coders.
• General-Purpose: Suitable for a range of applications, not just web development.
• Job Opportunities: High demand, with potential for high salaries.
• Cross-Platform: Consistent performance on Windows, MacOS, and Linux.
• Modified Versions: Variants like PyPy offer faster speeds and better multitasking.
• Amateur Game Development: Easier entry into game development compared to languages like C++.

Python Disadvantages:

• Speed Limitations: Interpreted language; slower than compiled counterparts.

How Do Python and Go Compare?

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Recommended: 20 Real Python Projects to Make Money in 2023

Summary

Python, developed in 1991, is considered an old-timer in the coding world. On the other hand, Golang, introduced by Google in 2012, is a relatively new language. The primary motivation behind the creation of Golang was to enhance productivity and address the shortcomings of existing programming languages. Despite their differences in age, both languages have their own unique advantages.

Golang is known for its speed and simplicity. It is designed to be easy to write and comes with a built-in documentation tool called Go doc, which automatically generates documentation. This feature makes the life of a programmer much easier. Golang is also highly efficient and can rival the speed of languages like C/C++. Additionally, it eliminates the need for manual memory management, further simplifying the development process.

Python, on the other hand, is renowned for its readability and versatility. The language is often described as “executable pseudocode” due to its resemblance to regular English. Even developers with no prior experience in Python can easily understand and work with the language. Python’s syntax is clean and concise, thanks to its use of indented blocks. Furthermore, Python offers a wide range of free libraries that reduce the amount of code required for various tasks.

When it comes to choosing between Golang and Python:

• If speed and scalability are your top priorities, Golang is an excellent choice. Its performance is comparable to low-level languages like C/C++, while still being user-friendly. Golang is particularly suitable for developers who want to build high-performance tools and applications.
• If you prioritize readability and ease of use, Python is the way to go. Python’s simplicity and extensive library ecosystem make it an ideal choice for scripting and developing tools that promote collaboration among teams. Python’s clean syntax and indentation-based structure contribute to writing clean and maintainable code.

Both Golang and Python have their own strengths and are suitable for different use cases. If you are a student looking for a high-paying job, Python might be a better choice due to its widespread adoption.

However, if you are already a software engineer and want to explore new horizons, Golang can provide a challenging yet rewarding experience. Ultimately, the choice between Golang and Python depends on your goals, project requirements, and personal preferences.

Recommended: Go Developer – Income and Opportunity

The post Python vs Go – Which Language Should You Choose in 2024 appeared first on Be on the Right Side of Change.

To check the Go version installed on your system, simply run go version in your terminal or shell. This command returns the current Go version you have installed.

If you need to identify the version of Go used to build a specific binary application, use go version "app-name" where "app-name" refers to the built application.

Use the go version command in the terminal to find the installed Go version. Determine the version of Go used to build a binary with go version "app-name".

Checking Golang Version

To determine the version of Go (Golang) installed on your system, you can use the go version command in the terminal or command prompt.

Here are instructions for different operating systems:

Linux

1. Open the terminal by pressing Ctrl + Alt + T or searching for “terminal” in the application launcher.
2. Type the following command and press Enter:

go version

Example output:

go version go1.15.2 linux/amd64

MacOS

1. Launch the Terminal app by pressing Cmd + Space, typing “Terminal” in the Spotlight search, and pressing Enter.
2. Enter the following command and hit Return:

go version

Example output:

go version go1.15.2 darwin/amd64

Windows

1. Press Win + R to open the Run dialog, type "cmd", and press Enter to launch the Command Prompt.
2. Type the below command and hit Enter:

go version

Example output:

go version go1.15.2 windows/amd64

Installing Golang

To get started with Golang, you need to download and install it on your operating system. Follow the installation instructions for your specific operating system below:

Linux

To install Golang on Linux, first download the latest version for your system. Once downloaded, extract the archive:

tar -C /usr/local -xzf go1.20.4.linux-amd64.tar.gz

Next, add the Go binary to your PATH by editing the ~/.profile or ~/.bash_profile file:

export PATH=$PATH:/usr/local/go/bin

Restart your terminal and check that Golang is installed with go version.

MacOS

For MacOS users, you can download the latest Golang package for your system. Run the downloaded package and follow the installation instructions.

Alternatively, you can use Homebrew:

brew install go

Verify your installation with go version.

Windows

To install Golang on Windows, download the latest Windows installer. Run the downloaded installer and follow the installation instructions. Ensure that the “Add to PATH” option is selected during installation.

Open a command prompt and verify your installation with go version.

By following these steps, you’ll have Golang installed on your system, and you can start writing your own Go programs! For more information on installing Go from source, refer to the official documentation.

Golang Release History

Go, also known as Golang, has had a rich release history, with multiple major and minor versions launched over the years. Each major release brings new and exciting features, improvements, and bug fixes for developers.

Starting from Go 1.13, the go command experienced significant enhancements, making it more efficient than ever. This version also introduced a module mirror and checksum database run by Google to download and authenticate modules by default source.

In Go 1.15, significant changes were made to the linker and improvements in the garbage collector and standard library. This version also deprecated certain methods, improving language precision and laying the groundwork for upcoming releases.

Moving on to Go 1.16, developers saw improvements in file embedding, better support for Apple Silicon, and enhancements in the core library. Important updates to the go command provided a more secure way to download packages.

With Go 1.17, users experienced a more advanced and refined garbage collector alongside other improvements in the standard library. This major Go release also reduced the generated binaries’ size, leading to a more efficient and lightweight overall build.

As for the upcoming versions, Go 1.18 is planned to bring significant improvements to the language with the inclusion of generics. Moreover, Go 1.19 and Go 1.20 are expected to maintain the same upward trajectory by introducing more improvements and enhancements.

Golang’s release history ensures that each version comes with better and more reliable features. By regularly updating the compiler, binary release, and other aspects of the language, Go releases offer new and innovative solutions for developers.

Now you’re all set to stay updated on Golang releases! For a detailed overview of each release, please refer to the official Release History or the download page for previous versions.

Understanding Golang Versioning System

The Go programming language, also known as Golang, follows a systematic approach for versioning to maintain compatibility and stability in the ecosystem. This versioning system is a foundation for developers to easily understand the changes and updates in the language as it evolves.

Go releases follow a naming convention represented by major.minor.patch numbers, where “major” signifies significant changes, “minor” denotes backward-compatible enhancements, and “patch” indicates bug fixes. For instance, if the current version of Go is 1.16.5, it means it is the first major version (1), the sixteenth minor version (16), and the fifth patch version (5) .

The Go team releases new versions frequently with improvements and bug fixes. Regular updates ensure that your system has the latest features and security developments .

To check the installed Go version on your system, run the command go version in your terminal/shell/command line. This will display the version number, like go version go1.16.5 linux/amd64.

When working with Go modules, you may encounter semantic versioning. This is a universal versioning system for software libraries and packages to maintain compatibility and ease of use. Go modules follow the semantic versioning format vX.Y.Z, where X is the major version, Y is the minor version, and Z is the patch version.

For example, a module’s version might look like v0.5.3. The v prefix in the format indicates the semantic versioning support .

It’s essential to stay updated on your Golang version and the modules you use to leverage the most recent improvements and avoid potential issues. As a developer, understanding the Golang versioning system empowers you to make informed decisions about the language and library updates you choose for your projects . So, always keep an eye on the Module version numbering and Release History pages. Happy coding!

Golang Binary Releases

Linux

Go releases binary files for a range of architectures, catering to the Linux ecosystem’s diverse hardware landscape.

The most commonly used binary is for the linux/amd64 architecture, which targets 64-bit Intel and AMD systems. For example, you can download the Go 1.20 release for linux/amd64 from the official Go website.

Other supported architectures include linux/386 (32-bit systems), linux/arm (ARM devices), and linux/arm64 (64-bit ARM devices). To install the chosen binary, extract the archive and follow the installation instructions for your specific Linux distribution.

MacOS

Go binary releases are also available for MacOS systems.

The darwin/amd64 binary supports 64-bit Intel-based Macs running macOS 10.12 (Sierra) or later. With the introduction of Apple’s M1 chip, the Go team has introduced a new binary targeting the ARM64 architecture: darwin/arm64.

You can easily download the appropriate binary for your MacOS device from the official Go website. Once downloaded, follow the provided installation instructions to set up Go on your Mac.

FreeBSD

Go supports FreeBSD across various architectures, such as freebsd/amd64 (64-bit Intel and AMD systems), freebsd/386 (32-bit systems), and freebsd/arm (ARM devices).

To get the desired binary for your FreeBSD system, visit the official Go website and choose the suitable version. After downloading, follow these instructions to install Go on FreeBSD.

Windows

For Windows users, Go binary releases are available for both 32-bit (x86) and 64-bit (amd64) Intel and AMD systems.

You can download the windows/amd64 or windows/386 binary files directly from the official Go website. Installation is as simple as running the MSI installer for your chosen architecture, which sets up Go on your Windows system.

Updating Golang

Upgrading Golang to the latest version on your system is a breeze. This brief guide will show you how to efficiently update your Go installation to the most recent version.

First of all, you should remove any previous Go installation on your system. On a Linux machine, you can do that by executing the following command:

$ rm -rf /usr/local/go

For Mac and Windows users, you should remove the Go installation directory in your system. The default directory is usually /usr/local/go. After the old installation has been removed, you can proceed with installing the latest Go version.

Visit the official Go download page to find the latest Go release for your operating system—be it Linux, Mac, or Windows. Download the necessary archive and proceed with the installation. For example, on a Linux system, you would use something like:

$ tar -C /usr/local -xzf go1.14.3.linux-amd64.tar.gz

To make sure that the update process was successful, you can verify the installed Go version with the command:

$ go version

This should return the information of the updated Go version, alongside your operating system and architecture.

That’s it! You’ve successfully updated Go on your system. By following these steps, you ensure that you use the most recent features and stay on top of bug fixes and performance improvements. Keep coding!

Uninstalling Golang

Linux

To uninstall Golang on Linux, you can use one of the following methods:

1. Remove the go directory: Simply delete the go directory, usually located at /usr/local/go. Use the terminal command: sudo rm -rf /usr/local/go
2. Using apt-get package manager: If you’ve installed Golang using the package manager, run the following commands to uninstall it: sudo apt-get uninstall purge golang* sudo apt-get update

MacOS

On MacOS, uninstalling Golang is as simple as removing the go directory. The directory is typically located at /usr/local/go. You can run the following command in your terminal:

sudo rm -rf /usr/local/go

Make sure to also remove any environment variables associated with Golang in your .bash_profile or .zshrc file.

Windows

For Windows, follow these steps to uninstall Golang:

1. Open the Control Panel.
2. Navigate to Programs and Features.
3. Locate the Go Programming Language entry in the list of installed programs.
4. Click on it and select Uninstall.

After uninstalling, remember to remove Golang environment variables from your system. You can do this by navigating to the System Properties and editing the Environment Variables.

Uninstalling Golang completely might require you to remove Golang-related files and directories from various locations on your computer. To ensure a clean uninstall, check your PATH, GOPATH, and GOROOT variables, and remove any references to Golang.

Managing Golang Path Environment

When working with Golang, it’s important to manage your PATH environment variable to ensure your system can locate and execute the Go binaries. In this section, we’ll cover how to manage your Golang path environment on different platforms, such as Linux, macOS, and Windows.

Linux

On Linux systems, you can set the PATH environment variable by editing either /etc/profile or $HOME/.profile files. Add the following lines to one of these files, replacing /path/to/your/go/bin with the actual path to your Go binary directory:

export GOPATH=$HOME/go
export PATH=$PATH:$GOPATH/bin:/path/to/your/go/bin

After saving the changes, restart your terminal or run source $HOME/.profile to apply the changes. Now you should be able to run Go commands from any directory in your system.

MacOS

For macOS, follow a similar process as Linux. Open your $HOME/.profile or $HOME/.bash_profile file and add the following lines, again replacing /path/to/your/go/bin with the appropriate Go binary directory:

export GOPATH=$HOME/go
export PATH=$PATH:$GOPATH/bin:/path/to/your/go/bin

Save the file, restart your terminal, and run source $HOME/.profile or source $HOME/.bash_profile. Your Go commands should work properly now.

Windows

On Windows, you’ll need to update the system environment variables.

1. Right-click on “My Computer” or “This PC” and select “Properties”.
2. Click on “Advanced system settings”.
3. In the “System Properties” window, click on the “Environment Variables” button.

Now, locate the “Path” variable in the “System variables” section and click “Edit”. Add the following paths to the list, replacing C:\path\to\your\go\bin with the correct path to your Go binary directory:

C:\path\to\your\go\bin
%USERPROFILE%\go\bin

Click “OK” to save the changes. Restart your Command Prompt or PowerShell, and the Go commands should be functional.

Working with Multiple Golang Versions

Working with multiple Golang versions on a single project can be essential, especially when you need to maintain compatibility across different environments or test new changes.

One way to manage multiple versions is by using the go get command. This allows you to install different versions of Go alongside your existing installation.

For example, if you want to install Go 1.10.7 in addition to your current version, you can run:

go get golang.org/dl/go1.10.7

After installing the new version, you can use it by referring to its specific binary, like go1.10.7 for Go 1.10.7. With each version’s binary, you can perform any common tasks such as building, testing, or running your programs.

Using environment variables can also help in managing multiple versions. For instance, the GOROOT variable points to the installation directory of a specific Go version. To know where a specific version is installed, you can run:

go1.10.7 env GOROOT

This command will return the path to Go 1.10.7 installation directory. By using the proper GOROOT value, you can easily switch between different versions while working on your project.

Another powerful tool for managing multiple Golang versions is goenv. With goenv, you can set specific Go versions for each project or globally on your system. To install a new Go version using goenv, run:

goenv install 1.10.7

Then, you can set the local version for your project by executing:

goenv local 1.10.7

This sets the Go version for that particular directory and creates a .go-version file that you can add to your project to keep consistent environment settings.

In conclusion, managing multiple Golang versions can be done effortlessly with the right tools and techniques like go get, environment variables, and goenv. This ensures compatibility and smooth migration between different Go releases. Happy coding!

Golang Release Policy

The Go team at Google follows a strict release schedule, ensuring that users receive the latest improvements and bug fixes in a timely manner .

Typically, Go has two major releases every year, with the frequency of about six months between each release. These major releases not only include new features and performance enhancements , but also address critical security issues, making them essential for developers to stay up-to-date .

For instance, Go 1.20 was released on February 1, 2023, and it brought several major improvements for developers and the overall community. Major releases are supported with critical fixes and security updates until the subsequent major release; for example, Go 1.5 was supported till Go 1.7’s release, and Go 1.6 remained supported until Go 1.8’s release .

In addition to major releases, the Go team also issues minor revisions as needed. These revisions, like Go 1.6.1 and Go 1.6.2, focus on addressing specific critical problems and security concerns that arise between major releases .

Adhering to a consistent release policy helps Go remain a popular choice for programming among developers . It provides them with current features and improvements while also ensuring that any vulnerabilities or bugs get resolved quickly, maintaining a reliable and secure environment for developers and their projects .

So, while working with Go, make sure to keep an eye on the latest releases and update your projects accordingly! By staying informed and updated, you’ll benefit from the most recent improvements and ensure that your projects stay secure and compliant with the ever-evolving standards .

Frequently Asked Questions

How can I find out my installed Golang version?

You can find out the installed version of Go on your system by running the command go version in your terminal or command prompt. This command will display the version number and the OS it runs on. Example output:

go version go1.17.6 linux/amd64

How do I update my Go version?

To update your Go version, visit the official Go downloads page and download the latest release binary for your platform. Follow the installation instructions provided on the page, and after completing the installation, your Go version will be updated.

What is the latest Go version available?

The latest Go version can be found on the official Go downloads page. This page is regularly updated with the most recent releases, and you can locate the latest version number at the top of the available downloads list.

How can I switch between different Go versions?

Switching between different Go versions can be achieved by using the go command with the specific version number you want to use. For example, if you have Go 1.17.6 and Go 1.16.13 installed, you can use go1.17.6 or go1.16.13 instead of the regular go command.

Alternatively, you can use tools like gvm (Go Version Manager) to help manage multiple Go versions.

Is it possible to downgrade my Go version?

Yes, you can downgrade your Go version. To do so, visit the Go downloads page and download the desired older version of Go for your platform. Follow the installation instructions provided on the page to install the older version. You can then switch between the versions as needed using the methods described above.

How can I check the Go version of a binary file?

To check the Go version used to create a binary file, you can use the go version command followed by the name of the binary file. For example:

go version ./my-binary-file

This command will display information on the binary file, such as the Go version it was built with and the target platform.

The post How to Check My Golang Version (Win, MacOS, Linux) appeared first on Be on the Right Side of Change.

What Is Buffalo?

Let’s have a look at the definition from the official Buffalo website and the docs:

Buffalo is a Go web development eco-system, designed to make your life easier.

While Buffalo can be considered as a framework, it’s mostly an ecosystem of Go and Javascript libraries curated to fit together.

Now that you know about what it is, let’s have a look at what it earns next!

Annual Income

How much does a Buffalo Developer make per year?

A Buffalo developer is a Golang developer. Thus, we estimate that the average annual salary of a US-based Buffalo (Go) Developer ranges between $111,000 (25th percentile) and $147,000 (75th percentile) with top earners (90th percentile) earning $156,000 (source).

Let’s have a look at the hourly rate of Buffalo Developers next!

Hourly Rate

Buffalo Developers are well-paid on freelancing platforms such as Upwork or Fiverr.

• Related Article: What’s the best freelancing platform?

If you decide to go the route as a freelance Buffalo Developer, you can expect to make between $35 and $65 per hour on Upwork (source). Assuming an annual workload of 2000 hours, you can expect to make between $70,000 and $130,000 per year.

Note: Do you want to create your own thriving coding business online? Feel free to check out our freelance developer course — the world’s #1 best-selling freelance developer course that specifically shows you how to succeed on Upwork and Fiverr!

Industry Demand

But is there enough demand? Let’s have a look at Google trends to find out how interest evolves over time (source):

Work Description

So, you may wonder: Buffalo Developer – what’s the definition?

Buffalo Developer Definition: A Buffalo Developer creates, edits, analyzes, debugs, and supervises the development of web apps written in the Buffalo programming framework and the Golang programming language.

Learning Path, Skills, and Education Requirements

Do you want to become a Buffalo Developer? Here’s a step-by-step learning path I’d propose to get started with Buffalo:

• Step 1: Introduction to Computer Science (~40 hours)
• Step 2: Introduction to Golang (~20 hours)
• Step 3: Advanced Golang (~20 hours)
• Step 4: Introduction to Buffalo (~20 hours)
• Step 5: Introduction to Buffalo (Free Video Courses) (~10 hours)

You can find many additional computer science courses on the Finxter Computer Science Academy (flatrate model).

But don’t wait too long to acquire practical experience!

Even if you have little skills, it’s best to get started as a freelance developer and learn as you work on real projects for clients — earning income as you learn and gaining motivation through real-world feedback.

Tip: An excellent start to turbo-charge your freelancing career (earning more in less time) is our Finxter Freelancer Course. The goal of the course is to pay for itself!

Related Video

You can find more job descriptions for coders, programmers, and computer scientists in our detailed overview guide:

• Get Your Job in IT [Overview]

Related Income of Professional Developers

The following statistic shows the self-reported income from 9,649 US-based professional developers (source).

The average annual income of professional developers in the US is between $70,000 and $177,500 for various programming languages.

Question: What is your current total compensation (salary, bonuses, and perks, before taxes and deductions)? Please enter a whole number in the box below, without any punctuation. If you are paid hourly, please estimate an equivalent weekly, monthly, or yearly salary. (source)

The following statistic compares the self-reported income from 46,693 professional programmers as conducted by StackOverflow.

The average annual income of professional developers worldwide (US and non-US) is between $33,000 and $95,000 for various programming languages.

Here’s a screenshot of a more detailed overview of each programming language considered in the report:

Here’s what different database professionals earn:

Here’s an overview of different cloud solutions experts:

Here’s what professionals in web frameworks earn:

There are many other interesting frameworks—that pay well!

Look at those tools:

Okay, but what do you need to do to get there? What are the skill requirements and qualifications to make you become a professional developer in the area you desire?

Let’s find out next!

General Qualifications of Professionals

StackOverflow performs an annual survey asking professionals, coders, developers, researchers, and engineers various questions about their background and job satisfaction on their website.

Interestingly, when aggregating the data of the developers’ educational background, a good three quarters have an academic background.

Here’s the question asked by StackOverflow (source):

Which of the following best describes the highest level of formal education that you’ve completed?

However, if you don’t have a formal degree, don’t fear! Many of the respondents with degrees don’t have a degree in their field—so it may not be of much value for their coding careers anyways.

Also, about one out of four don’t have a formal degree and still succeeds in their field! You certainly don’t need a degree if you’re committed to your own success!

Freelancing vs Employment Status

The percentage of freelance developers increases steadily. The fraction of freelance developers has already reached 11.21%!

This indicates that more and more work will be done in a more flexible work environment—and fewer and fewer companies and clients want to hire inflexible talent.

Here are the stats from the StackOverflow developer survey (source):

Do you want to become a professional freelance developer and earn some money on the side or as your primary source of income?

Resource: Check out our freelance developer course—it’s the best freelance developer course in the world with the highest student success rate in the industry!

Other Programming Languages Used by Professional Developers

The StackOverflow developer survey collected 58000 responses about the following question (source):

Which programming, scripting, and markup languages have you done extensive development work in over the past year, and which do you want to work in over the next year?

These are the languages you want to focus on when starting out as a coder:

And don’t worry—if you feel stuck or struggle with a nasty bug. We all go through it. Here’s what SO survey respondents and professional developers do when they’re stuck:

What do you do when you get stuck on a problem? Select all that apply. (source)

Related Tutorials

To get started with some of the fundamentals and industry concepts, feel free to check out these articles:

• Freelance Developer – How to Code From Home and Earn Six Figures [Industry Report]
• How to Become a Python Freelancer—and Earn $1,000 on the Side? [A Step-by-Step Tutorial]
• How Adam Earns $5000 per Month as a Python Freelancer on Upwork [Month 4]

Where to Go From Here?

Enough theory. Let’s get some practice!

Coders get paid six figures and more because they can solve problems more effectively using machine intelligence and automation.

To become more successful in coding, solve more real problems for real people. That’s how you polish the skills you really need in practice. After all, what’s the use of learning theory that nobody ever needs?

You build high-value coding skills by working on practical coding projects!

Do you want to stop learning with toy projects and focus on practical code projects that earn you money and solve real problems for people?

If your answer is YES!, consider becoming a Python freelance developer! It’s the best way of approaching the task of improving your Python skills—even if you are a complete beginner.

If you just want to learn about the freelancing opportunity, feel free to watch my free webinar “How to Build Your High-Income Skill Python” and learn how I grew my coding business online and how you can, too—from the comfort of your own home.

Join the free webinar now!

The post Buffalo Developer – Income and Opportunity appeared first on Be on the Right Side of Change.

How much does a Golang developer make?

The average annual salary of a US-based Golang Developer ranges between $111,000 (25th percentile) and $147,000 (75th percentile) with top earners (90th percentile) earning $156,000 (source).

In Germany, a Golang developer can expect to make 72,000€ per year on average with a most likely range between 64,000€ and 80,500€.

Hourly Rate

Go Developers are well-paid on freelancing platforms such as Upwork or Fiverr.

• Related Article: What’s the best freelancing platform?

If you decide to go the route as a freelance Go Developer, you can expect to make between $25 and $80 per hour on Upwork (source). Assuming an annual workload of 2000 hours, you can expect to make between $50,000 and $160,000 per year.

Note: Do you want to create your own thriving coding business online? Feel free to check out our freelance developer course — the world’s #1 best-selling freelance developer course that specifically shows you how to succeed on Upwork and Fiverr!

Industry Demand

But is there enough demand? Let’s have a look at Google trends to find out how interest evolves over time (source):

Work Description

So, you may wonder: Go Developer – what’s the definition?

Golang Developer Definition: A Golang developer uses the Go programming language to create software, design applications, advise clients about tools and frameworks, and test and debug Golang applications. (Source)

Go vs Python

What’s the difference between a Golang and a Python developer? Here’s the short summary of my article.

You can also watch my associated video explainer here:

Learning Path, Skills, and Education Requirements

Do you want to become a Go Developer? Here’s a step-by-step learning path I’d propose to get started with Go:

• Step 1: Introduction to Computer Science (~40 hours)
• Step 2: Introduction to Golang (~20 hours)
• Step 3: Advanced Golang (~20 hours)

You can find many courses on the Finxter Computer Science Academy (flatrate model).

But don’t wait too long to acquire practical experience!

Even if you have little skills, it’s best to get started as a freelance developer and learn as you work on real projects for clients — earning income as you learn and gaining motivation through real-world feedback.

Tip: An excellent start to turbo-charge your freelancing career (earning more in less time) is our Finxter Freelancer Course. The goal of the course is to pay for itself!

Related Video

You can find more job descriptions for coders, programmers, and computer scientists in our detailed overview guide:

• Get Your Job in IT [Overview]

Related Income of Professional Developers

The following statistic shows the self-reported income from 9,649 US-based professional developers (source).

The average annual income of professional developers in the US is between $70,000 and $177,500 for various programming languages.

Question: What is your current total compensation (salary, bonuses, and perks, before taxes and deductions)? Please enter a whole number in the box below, without any punctuation. If you are paid hourly, please estimate an equivalent weekly, monthly, or yearly salary. (source)

The following statistic compares the self-reported income from 46,693 professional programmers as conducted by StackOverflow.

The average annual income of professional developers worldwide (US and non-US) is between $33,000 and $95,000 for various programming languages.

Here’s a screenshot of a more detailed overview of each programming language considered in the report:

Here’s what different database professionals earn:

Here’s an overview of different cloud solutions experts:

Here’s what professionals in web frameworks earn:

There are many other interesting frameworks—that pay well!

Look at those tools:

Okay, but what do you need to do to get there? What are the skill requirements and qualifications to make you become a professional developer in the area you desire?

Let’s find out next!

General Qualifications of Professionals

StackOverflow performs an annual survey asking professionals, coders, developers, researchers, and engineers various questions about their background and job satisfaction on their website.

Interestingly, when aggregating the data of the developers’ educational background, a good three quarters have an academic background.

Here’s the question asked by StackOverflow (source):

Which of the following best describes the highest level of formal education that you’ve completed?

However, if you don’t have a formal degree, don’t fear! Many of the respondents with degrees don’t have a degree in their field—so it may not be of much value for their coding careers anyways.

Also, about one out of four don’t have a formal degree and still succeeds in their field! You certainly don’t need a degree if you’re committed to your own success!

Freelancing vs Employment Status

The percentage of freelance developers increases steadily. The fraction of freelance developers has already reached 11.21%!

This indicates that more and more work will be done in a more flexible work environment—and fewer and fewer companies and clients want to hire inflexible talent.

Here are the stats from the StackOverflow developer survey (source):

Do you want to become a professional freelance developer and earn some money on the side or as your primary source of income?

Resource: Check out our freelance developer course—it’s the best freelance developer course in the world with the highest student success rate in the industry!

Other Programming Languages Used by Professional Developers

The StackOverflow developer survey collected 58000 responses about the following question (source):

Which programming, scripting, and markup languages have you done extensive development work in over the past year, and which do you want to work in over the next year?

These are the languages you want to focus on when starting out as a coder:

And don’t worry—if you feel stuck or struggle with a nasty bug. We all go through it. Here’s what SO survey respondents and professional developers do when they’re stuck:

What do you do when you get stuck on a problem? Select all that apply. (source)

Related Tutorials

To get started with some of the fundamentals and industry concepts, feel free to check out these articles:

• Freelance Developer – How to Code From Home and Earn Six Figures [Industry Report]
• How to Become a Python Freelancer—and Earn $1,000 on the Side? [A Step-by-Step Tutorial]
• How Adam Earns $5000 per Month as a Python Freelancer on Upwork [Month 4]
• Go Wikipedia
• Learn Go Google

Where to Go From Here?

Enough theory. Let’s get some practice!

Coders get paid six figures and more because they can solve problems more effectively using machine intelligence and automation.

To become more successful in coding, solve more real problems for real people. That’s how you polish the skills you really need in practice. After all, what’s the use of learning theory that nobody ever needs?

You build high-value coding skills by working on practical coding projects!

Do you want to stop learning with toy projects and focus on practical code projects that earn you money and solve real problems for people?

If your answer is YES!, consider becoming a Python freelance developer! It’s the best way of approaching the task of improving your Python skills—even if you are a complete beginner.

If you just want to learn about the freelancing opportunity, feel free to watch my free webinar “How to Build Your High-Income Skill Python” and learn how I grew my coding business online and how you can, too—from the comfort of your own home.

Join the free webinar now!

The post Go Developer – Income and Opportunity appeared first on Be on the Right Side of Change.

Cheat Sheet 1: Devhints.io

This cheat sheet is written by a developer by the name of Rico. His collection of cheat sheets is extensively modest. This is one I would keep in a folder in my bookmarks online! This cheat sheet goes over GoLangs syntax, functions, and flow control. This cheat sheet also includes official resources and other links to give you more information on GoLang.

Pros: Great for beginners learning Go, or if you need a quick syntax lookup.

Cons: It is a website cheat sheet.

Cheat Sheet 2: Cheat-Sheet.org

This cheat sheet is printable and will take through basic syntax to more advanced functions and methods using code examples. It does have the link to A Tour of Go which is an excellent introduction to GoLang.

Pros: Gives a very generous overview of GoLang language

Cons: Minimal explanations on what is happening in the code.

Cheat Sheet 3: Simplecheatsheet.com

This cheat sheet will help you download the Go Archive and install them on 4 different OS modules. It contains tables for keywords, data types, variables and others. It also includes Go code examples and step-by-step explanations.

Pros: Perfect for beginners.

Cons: Keep it bookmarked, it isn’t printable.

Cheat Sheet 4: Cheatograph

This cheat sheet will show you GoLang and its syntax including examples and code snippets for Go. It has a brief introduction on how it came to be. This one is downloadable to print, then pin to the wall or keep it in your programmers binder like I do.

Pros: Perfect for beginners since it includes simple examples.

Cons:  None that I can see.

Cheat Sheet 5: GitHub

Always from Github can you find amazing things including cheat sheets! This cheat sheet is one you can download and print. Keep it near in hand when you need to program in Go.

Pros: Perfect for reference on functions and syntax.

Cons: Minimal explanations on what the function does.

Cheat Sheet 6: Programming-idioms.org

This cheat sheet will get you rocking and rolling on Go and its syntax. On the left, it has the explanations of the code example on the right. You will be able to get yourself up and running in Go in no time. You can print it in landscape mode or bookmark the page.

Pros: Perfect for beginners.

Cons: None that I can see.

Cheat Sheet 7: Comparitech

This cheat sheet will walk through network programming in Go! How cool is that? It will show you the basics, TCP socket programming, AWS Function Lambda function hander and bucket list examples in Go.

Pros: Perfect for beginners to Go.

Cons: None that I can see.

Cheat Sheet 8: Medium

These 4 cheat sheets will make it easy for you to work in GoLang as it touches all of the syntax and formatting. These cheat sheets will be perfect for saving to the desktop, printing and pinning to the wall or keep in your developers binder.

Pros: Perfect reference for beginners.

Cons: These are pictures that will need to be saved to your computer if you want to print them.

Cheat Sheet 9: Guru99

This is more a tutorial with a cheat sheet at the very bottom but it will take you through the basics of Go, file creation and much more. This is a great place to start if you want to learn Go as a programming language.

Pros: Perfect for beginners wanting to learn Go

Cons: The actual cheat sheet is at the bottom of the tutorial.

Cheat Sheet 10: Programming.guide

This cheat sheet should be bookmarked since it is a string functions reference card for Go.

Pros: Perfect reference card for Go and all it has to offer.

Cons: The only thing wrong is you can’t print it!

That is it! Those are the cheat sheets (some with tutorials) that I have found to be the best for GoLang. Go is a simple language to learn and a statically typed language. It has the capability to write dynamically but it is best used for scripting, where Python (the wonderful language that it is), is more like a swiss army knife you keep in your pocket to do all kinds of jobs you need to get done. Get yourself up and running with Go and add this language secondary to Python.

The post Top 10 Go Cheat Sheets appeared first on Be on the Right Side of Change.

You can watch the following video as you go through the article:

Freelance Developer Course Link

This article is for you if:

• You’re a freelance developer and you’re looking for paid work—or simply to get started with your new home-based freelancing business.
• You’re a business owner, project manager, or HR manager looking for programming talent to hire.

There are four major freelancing platforms for coders: Upwork, Fiverr, Toptal, and Freelancer.com. If you’re busy and you want to learn about the best freelancing sites right away, check out the following “Above-The-Fold” sites.

But there are dozens of big and small freelancing sites for coders. You’ll find a detailed ranking (by Alexa traffic rank 2020) below.

ALL LINKS OPEN IN A NEW TAB!

Above-The-Fold Freelancing Sites for Coders

Upwork

Upwork places a great focus on quality. This is great for clients because it ensures that their work will get delivered—without compromising quality.

For freelancers just starting out, Upwork poses a significant barrier of entry—oftentimes, new profiles will get rejected by the Upwork team. They want to ensure that only clients who take their freelancing jobs seriously will start out on their platform.

However, the relatively high barrier of entry also protects established freelancers on the Upwork platform from too much competition. There is no price dumping because of low-quality offers which ultimately benefits all market participants.

Fiverr

Fiverr initially started out as a platform where you could buy and sell small gigs worth five bucks. However, in the meantime it grew to a full-fledged freelancing platform where people earn six-figure incomes.

Many jobs earn hundreds of Dollars per hour and many freelancers make a killing—especially in attractive industries such as programming, machine learning, and data science.

If you want to start earning money as a freelance developer with the hot Python programming language, check out my free webinar:

How to build your high-income skill Python [Webinar]

Toptal

Toptal has a strong market proposition: it’s the platform with the top 3% of freelancers. Hence, it connects high-quality freelancers with high-quality clients.

It’s extremely hard to become a freelancer at Toptal: 97% of the applicants will not enter the platform. However, if you manage to join Toptal, you can greatly benefit with the best-in-class hourly rates. You can easily earn $100 per hour and beyond.

Also, the high barrier of entry ensures that the freelancer stays the valuable resource—he or she doesn’t become a commodity like on other freelancer platforms.

If you are an upcoming freelancer, you should aim for joining Toptal one day. Here’s a great freelancer course that shows you a crystal-clear path towards becoming a highly-paid freelancer.

Freelancer.com

Freelancer.com is the go-to resource for beginners with very low barrier of entry and opportunities for everyone. This is the recommended starting point to gain experience and finish your first projects. Also, it can help you gain your first testimonials—while getting paid for learning and polishing your skills.

It’s a great site with countless freelancing projects. A great resource is the archived freelancing projects which help you get some real-world projects for training purposes.

For freelance programmers, I have compiled a list of ten practical freelancing projects to help you get started on this article. These projects are real projects which were completed by real freelancers for real money. So they are as practical as they can get.

Freelance Developer Sites — Ranked By Size

There are literally hundreds of websites over which you can find more or less attractive freelancing gigs (as a developer). But which one to choose? A good way is to approach the problem pragmatically: rank the websites by traffic rank and start at the top (source). At least you now know which sites are likely to attract more clients!

The 50 Best Freelance Programming Sites — And their traffic ranks (2020). We also give each freelancing platform some space to describe itself (excerpts from their “About Us” pages).

Stack Overflow   

Alexa Rank # 41          

Helping write the script of the future by serving developers and all technologists.

Founded in 2008, Stack Overflow is the largest, most trusted online community for anyone that codes to learn, share their knowledge, and build their careers. More than 50 million unique visitors come to Stack Overflow each month to help solve coding problems, develop new skills, and find job opportunities.

Stack Overflow partners with businesses to help them understand, hire, engage, and enable the world’s developers. Our products and services are focused on developer marketing, advertising, technical recruiting, and enterprise knowledge sharing. Learn more about our business solutions here.

LinkedIn

Alexa Rank # 63

About LinkedIn

Welcome to LinkedIn, the world’s largest professional network with nearly 690+ million users in more than 200 countries and territories worldwide.

Vision

Create economic opportunity for every member of the global workforce.

Mission

The mission of LinkedIn is simple: connect the world’s professionals to make them more productive and successful.

Who are we?

LinkedIn began in co-founder Reid Hoffman’s living room in 2002 and was officially launched on May 5, 2003.

Jeff Weiner is the CEO of the company, and management includes experienced executives from companies such as Yahoo!, Google, Microsoft, TiVo, PayPal and Electronic Arts.

LinkedIn leads a diversified business with revenues from membership subscriptions, advertising sales and recruitment solutions. In December 2016, Microsoft completed its acquisition of LinkedIn, bringing together the world’s leading professional cloud and the world’s leading professional network.

Indeed

Alexa Rank # 154

Indeed is the #1 job site in the world1 with over 250 million unique visitors2 every month. Indeed strives to put job seekers first, giving them free access to search for jobs, post CVs, and research companies. Every day, we connect millions of people to new opportunities.

Behance Jobs       

Alexa Rank # 283

Guide: Intro to Behance

Behance, part of the Adobe family, is the leading online platform to showcase & discover creative work. 

Creative people around the world join Behance, entering a community made with their original work and creative process in mind. Here, users showcase their work in the form of profiles comprised of Projects. 

A Project is a grouping of images, videos, and other digital content with a related theme or process. Every project has a unique URL that can be shared across the web, as well as a View and Appreciation counter so you can track how many people have seen your project and given you kudos on a job well done. Here is an example of a Project created by the Behance Design Team.

Behance members can Follow your profile and you can, in turn, follow other users. When you Follow someone, their updates (projects they’ve uploaded, Appreciated, or Added to a Moodboard) appear in your For You feed.

The For You feed is the home screen for signed-in Behance creatives. As you follow more profiles, you’ll start to see more projects appear in your feed. To view a Project that appears in your For You feed, simply click the Project Cover and the full contents of the project will open for you to view. 

In your feed, you may start to notice projects that have a small badge in the corner of the Project Cover. Those projects have been Featured. Our team of curators search for the best creative work on Behance and showcases them using Curated Galleries. 

Fiverr

Alexa Rank # 361

This is a place for doers – lean entrepreneurs – who don’t stop til they’ve outwitted and outworked everyone else. Whether you’re scaling up your small business or building a brand from scratch, we’ve got the resources you need to keep you informed and at the top of your game.

Freelancer.com

Alexa Rank #569

Freelancer.com is the world’s largest freelancing and crowdsourcing marketplace by number of users and projects. We connect over 44,553,141 employers and freelancers globally from over 247 countries, regions and territories. Through our marketplace, employers can hire freelancers to do work in areas such as software development, writing, data entry and design right through to engineering, the sciences, sales and marketing, accounting and legal services.

Upwork.com

Alexa Rank #875

The Upwork story begins over two decades ago when the tech lead of a Silicon Valley startup realized his close friend in Athens would be perfect for a web project. The team agreed he was the best choice, but were concerned about working with someone halfway around the globe. The team agreed he was the best choice, but were concerned about working with someone halfway around the globe.

In response, the two friends created a new web-based platform that brought visibility and trust to remote work. It was so successful the two realized other businesses would also benefit from reliable access to a larger pool of proven talent, while workers would enjoy freedom and flexibility to find jobs online. Together they decided to start a company that would deliver on the promise of this technology. Fast-forward to today, that technology is the foundation of Upwork — the leading flexible talent solution. With millions of jobs posted on Upwork annually, independent professionals are earning money by providing companies with over 5,000 skills across more than 70 categories of work.

Through Upwork, businesses get more done, connecting with proven professionals to work on projects from web and mobile app development to SEO, social media marketing, content writing, graphic design, admin help and thousands of other projects. Upwork makes it fast, simple, and cost-effective to find, hire, work with, and pay the best professionals anywhere, any time.

Envato Studio

Alexa Rank # 931

About Envato Studio

Envato Studio is a community of hand-picked designers, developers and digital talent, available to work on your project.

How it works

Envato Studio is a community of hand-picked designers, developers and digital talent, available to work on your project. From logo design to web development, to video production, we make it easy to connect and work together to get your job done. See how it works.

In April 2013 we launched a beta version called Microlancer, focussed on small design and development jobs with up-front pricing. Over the first 12 months our community of talent and buyers quickly grew, as did the size and type of jobs they completed. So, on our first birthday we changed our name to Envato Studio to better reflect who we are and what we do.

We believe there is a better way to get digital projects done. Buyers should have easy access to talent all around the world, select who they wish to work with, and have quality work completed without any surprises. We are equally passionate about providing genuine opportunities for our talented community to do the work they love.

We’re located in an awesome space in Melbourne, Australia.

Dribble   

Alexa Rank #931

The Heart of the Designer Community

We’re on a mission to build the world’s best community for creatives to share, grow, and get hired.

Over 1 trillion pixels shared. What are you working on?

Tens of millions of people look for design inspiration and feedback on Dribbble. We help players like you share small screenshots (shots) to show off your current projects, boost your portfolio, and love what you do—no matter what kind of creative professional you are.

Founded in 2009, we are a bootstrapped and profitable company helping design talent share, grow, and get hired by over 40,000 of today’s most innovative brands around the world.

99Designs

Alexa Rank # 3,603

Hi there. We’re 99designs, the global creative platform that makes it easy for designers and clients to work together to create designs they love. We connect more than one million talented freelance designers with creative people, genius entrepreneurs, savvy businesses… anyone who needs great work.

Dice

Alexa Rank # 4,816

About DHI

DHI Group, Inc. is a leading provider of career marketplaces for technology professionals across industries, in financial services and with active government security clearances. Our mission is to empower tech professionals and organizations to compete and win through expert insights and relevant employment connections. Our vision is to create indispensable career marketplaces to match the highest quality candidates with the right client career opportunities. Since 1990, we have built our Company on providing employers and professionals with career connections, news, tools and information. Today, we serve multiple markets located throughout North America, Europe, the Middle East and the Asia Pacific region.

PeoplePerHour

Alexa Rank # 5,134

We empower people worldwide to live their work dream building their business from the ground up and becoming financially and professionally independent.

Simply Hired

Alexa Rank # 5,246

The job hunt doesn’t need to be overwhelming. The team here at SimplyHired has created some thorough resources on everything from how to craft a resume or cover letter to how to negotiate a new job offer. Browse our career advice and let us take some of the stress out of the job hunt.

Toptal

Alexa Rank #5,301

Toptal is an exclusive network of the top freelance software developers, designers, finance experts, product managers, and project managers in the world. Top companies hire Toptal freelancers for their most important projects.

Guru    

Alexa Rank # 6,850

Guru.com is an expression of our beliefs that we hold close to our hearts. It’s one thing to simply provide a platform where Employers and Freelancers can work together. It’s another to do it in our own unique way.

We strive to be the premier platform where professionals go to connect, collaborate, and get work done. We believe that the best work is done in a flexible and secure environment. With transparency comes trust, and with a community that’s built on meritocracy, people are eager to set aside differences in geography, politics and religion to share and profit from economic opportunities.

Since 1998, we have been working tirelessly out of our offices in Pittsburgh, PA and Noida, India to turn these aspirations into reality. We have developed a close bond with our users. As their needs have changed, we have evolved our platform to provide the tools and support they want. Our users teach us, we learn and we grow. We invite you to become a part of our expanding community!

FlexJobs    

Alexa Rank #6,998

FlexJobs is the leading job search site specializing in the best remote, part-time, freelance, and flexible jobs available. Find a better way to work today!

Design Crowd

Alexa Rank # 9,441

About DesignCrowd

Our mission is to help businesses find the best design in the world, faster, and at a price that fits their budget. We also want to give designers the chance to earn money for their creative skills.

Company overview

Perfect for custom graphic, logo, web and print design. DesignCrowd is an online creative marketplace that helps start-ups, businesses and entrepreneurs connect with a global network of designers. Perfect for custom graphic, logo, web and print design. DesignCrowd also owns and manages BrandCrowd, an online logo maker.

Smashing Jobs   

Alexa Rank # 10,444

About Us Team, Impressum, Legal Notice

Smashing Family

Founded in September 2006 in Germany, Smashing Magazine delivers reliable, useful, but most importantly practical articles to web designers and developers. We don’t care about trends; we care about things that work or fail in actual projects. We are — and always have been — independent. 12+ years, and still ongoing.

WeWorkRemotely

Alexa Rank #11,618

We Work Remotely is the largest remote work community in the world. With over 2.5M monthly visitors, WWR is the #1 destination to find and list incredible remote jobs.

MeFi Jobs

Alexa Rank # 11,751

About MetaFilter Jobs

MetaFilter Jobs began in August of 2006 and since has listed thousands of open positions around the globe. Jobs listed can be full-time, part-time, internship, volunteer, and contract positions and they also break down to 25 different categories. If you store your location in your profile, the site will tell you how close each job is to you. Check the archives to see previous jobs and the Frequently Asked Questions page lists commons questions about the subsite. MeFi Jobs is also for listing your own availability if you’re currently seeking employment, simply make a new post and be sure to select the availability option, and you can pick a job category and describe your skillset. Future Job posters will see matching category members with availability and may contact you about their jobs.

If you’d like to know more about the MetaFilter Universe, read the about page for MetaFilter.

MetaFilter is one of the oldest online communities. MetaFilter Network Inc. is owned and run by Josh Millard (joshjosh@gmail.com), and staffed by a team of professional moderators.

Bark   

Alexa Rank # 12,764

About Bark

Bark is a world-leading services marketplace with over 5m customers in 8 countries around the world.

It’s just the beginning

We are passionate about helping people find what they need and helping the businesses that provide these services succeed.

We are driving a shift towards a demand-based, digital economy for service businesses, helping them find new customers and manage their customers better.

Problogger   

Alexa Rank # 13,561

BLOGGERS + JOBS 

For 10 years the ProBlogger Job Board has been the leading marketplace for blog related jobs.

Bloggers have an impressive and often unique range of skills to offer. As the demand for content grows, more and more businesses and publications need these skills.

If you’re looking for a blogger to help you in any way, post a job from $70 for 15 days.

HAVE YOUR AD SEEN BY THOUSANDS OF BLOG JOB HUNTERS

ProBlogger Board job listings regularly get thousands of views and hundreds of applicants, making it one of the most active and effective job boards for blogger related jobs.

Workana

Alexa Rank # 15,224

The best place to find and hire expert freelancers

Transforming the world of work, and providing autonomy and equal opportunities wherever you are

We created Workana in 2012 because we believe in the rise of freelance work. Since our launch, we have connected thousands of companies with the best freelancers worldwide.

From small businesses to enterprise, organizations all around are waking up to the advantages of freelance work. They are now able to find qualified talent, wherever they are, and start working right away.

Entrepreneurs and creative freelancers, idealists, dreamers and visionaries, all connected through Workana with something in common: believing in and forging the future of freelancing.

If you are looking for freelancers, post your project now. If you want to work on a project, click here.

Crossover

Alexa Rank # 19,453

A GLOBAL EFFORT TO CHANGE THE WORKPLACE

Crossover connects companies to the best talent from around the world and provides a seamless end-to-end solution for remote team management.

What We Do

 Crossover (also known as Crossover for Work) not only connects companies to the best talent from around the world, but also provides a seamless end-to-end solution for remote team management. 

Codeable    

Alexa Rank # 31,112

This is Codeable. The only WordPress freelancer marketplace.

Codeable helps businesses of all shapes and sizes hire vetted WordPress experts for short-term, recurring, and full-time WordPress work. We are committed to providing developer services without any of the hassles of traditional hiring. Our unique approach to the distributed talent force has made that possible. Today, we are a core team of 20 and more than 510 freelancers, all fully distributed.

Hired.com

Alexa Rank #35,664

Hired (hired.com) is a marketplace that matches tech talent with the world’s most innovative companies. Hired combines intelligent job matching with unbiased career counseling to help people find a job they love. Through Hired, job candidates and companies have transparency into salary offers, competing opportunities and job details. This level of insight is unmatched, making the recruiting process quicker and more efficient than ever before. Hired was founded in 2012 and is headquartered in San Francisco, with offices in the United States, Canada, France, and the UK. The company is backed by Lumia Capital, Sierra Ventures and other leading investors.

TopCoder   

Alexa Rank # 35,957

ABOUT TOPCODER

Transforming How The World Works

WE ARE THE OPERATING SYSTEM FOR TALENT

We’re visionaries, tech geeks, designers, developers, and data nerds. Team Topcoder is

on a mission to revolutionize how businesses access and execute with top digital talent.

Coroflot   

Alexa Rank # 43,217

About Us

We help designers be great and do great things.

Coroflot.com creates better professional experiences for designers of all backgrounds all over the world. We take personal responsibility for our contribution to the design community, whether it’s connecting designers with outstanding career opportunities, giving innovative companies access to leading talent, or bringing exposure to amazing design work.

Nexxt

Alexa Rank # 44,056

WHAT WE DO

Job Advertising

Nexxt is a network of members with the skills and talent your company needs. Let us help you connect with your next great hire.

Advertising

Market to a professional, engaged audience with precise targeting and a variety of custom advertising solutions.

Turing.com

Alexa Rank #54,603

Turing is based in Palo Alto, California, U.S.A., also known as “Silicon Valley”. We connect exceptional software engineers from around the world to top U.S. and Silicon Valley companies that are hiring for remote software positions. Turing is backed by well-known investors like:

• Facebook’s first CTO (Adam D’Angelo)
• Executives from Google, Facebook, Amazon, and Twitter
• Foundation Capital and other investors in Facebook, Tesla, Asana, etc.

Turing is led by Stanford University alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (Techcrunch story).

Outsourcely

Alexa Rank # 63,182

Find Great Talent for Every Business

From Fortune 500 companies to first-time entrepreneurs, companies in every size are using Outsourcely to connect with amazing remote talent.

Working Nomads          

Alexa Rank # 99,278

WorkingNomads.co curates lists of the most interesting remote job offers in many professional career areas. We connect professionals who want to work remotely with innovative companies offering independent positions.

Gun.io

Alexa Rank #152,950

Gun.io was founded on the simple idea that when it comes to freelancing, hiring and being hired should be based on merit.

Picture it: the precipice of the gig economy. Freelance marketplaces popping up across the horizon like dandelions in spring. But under the hood of those marketplaces are bidding wars that overwhelmingly result in low-paid work and poor results for clients.

Enter: our founders, freelancers, trying to get paid on said marketplaces.

They quickly realized that two groups of people weren’t winning on these platforms: senior developers who are experts in their craft, and companies seeking to hire these experts. So, they built a platform to connect companies with vetted freelance talent, committed to helping freelancers compete on merit, not rate.

Finxter

Alexa Rank #159,876

Coding is like learning a new language. You improve by listening to and expressing yourself in the new language. A core language skill is to understand words quickly. Likewise, a core programming skill is to understand code quickly.

Finxter teaches you rapid code understanding. It teaches you to see beyond the code. When we are done with you, the meaning of a code snippet will unfold like words from your mother’s tongue. At this point, consider yourself a code master.

Becoming a code master is what we at Finxter want for you. Furthermore, we want you to achieve this with minimal effort only by committing to a simple process. We know: If you are like most of our users, you can not commit full-time to learning to code.

Fortunately, this is not needed. A small habit is much better than a great event. Learn 5 minutes every day and not a single whole weekend. True learning is a process, not an event.

To help you reach your goal on the side, we have created the Finxter loop, a daily 5-minute habit. Solve a puzzle a day and enjoy the release of endorphins into your brain when solving it. Commit to this single habit and your Python skills will expand rapidly.

Finxter also has a lot of learning resources on how to build your six-figure coding business:

• Free Webinar: “How to Build Your High-Income Skill Python”
• Python Freelancer Course: “Create your Thriving Coding Business with Python”

Expert360

Alexa Rank# 180,364

Our Mission is to power seamless on-demand work.

Our Story

During our time at Bain & Company, we saw the power of contingent workers and consultants as a means to get support and expertise to supercharge organisations and create real change.

At that time, corporations lacked the ability to easily augment staff, build handpicked consultant teams, hire top individual short-term talent and engage with subject matter experts and boutique firms. They were also unable to have these elite business professionals available for deployment within days, not weeks.

Simultaneously, we noticed that more freelancers and firms in management, finance, marketing, HR, sales, operations and technology wanted to have more flexibility and choice in the way they work and with whom they work.

Bridget Loudon & Emily Yue

Co-founders, Expert360 

Krop   

Alexa Rank # 202,557

About Krop

We are a Creative industry job board and portfolio hosting website used by the most talented candidates at all experience levels, and the globe’s most respected creative brands.

We started in 2000 as a private industry newsletter among top designers. The site was named Krop in 2005 and we began hosting portfolio websites and getting more involved in promoting the individual creative talents looking for work as well as the companies looking to hire them.

If you are an Employer looking for talent: Post a Job and Search the Database.

If you are a creative: Create a Profile and Get Found and Build a Portfolio Website with our Beautiful Portfolio Builder.

Gigster   

Alexa Rank # 229,877

Gigster helps more companies expand their ability to innovate by building dynamic teams made up of top global talent that create industry-changing custom software.

Authentic Jobs   

Alexa Rank # 241,917

About Us

Well over a decade ago, Authentic Jobs was born as a labor of love in the sidebar of a personal website. Just a year later, we became a full-fledged service with a site of our own. From those humble beginnings, Authentic Jobs has grown to its current status as a leading employment and hiring service with a long list of deeply impressive clients.

For over twelve years, we’ve been connecting qualified applicants in search of their dream jobs with the forward-thinking companies who were looking for them. Our clients have included giants in many of today’s most coveted and high-growth industries, such as:

Technology: Apple, Electronic Arts

Media: The New York Times, NPR

Social media: Twitter, Facebook

Whether you’re in search of that perfect job to advance your career, or that perfect candidate to fill the crucial gap in your organization, Authentic Jobs is here to help you achieve your goals. It’s all we’ve done for over twelve years. In that time, we’ve matched hundreds of dynamic, high-growth companies to thousands of design, technology, and web professionals all over the world.

And if you represent a nonprofit organization or an educational institution, we’d be happy to offer you a discount off our services. We love helping those who do good in their communities. Contact us to discuss what Authentic Jobs can do to help you find your ideal candidate at a fee that won’t break your nonprofit’s budget.

Floyo   

Alexa Rank # 394,079

We Want to Help You Fill the Gaps in Your Schedule in as Little Time as Possible

Getting fired hit me like a ton of bricks. I still remember the copy machine’s buzzing sound going off moments after my boss told me he was letting me go. Why? It was a wake-up call. I realized on that day that full-time employees have no control.

A lot has changed since becoming self-employed but one thing hasn’t. My desire to gain more control over my future. The point of this site is to help you get more control of yours right now. 

But I’ll tell you upfront: it’s going to require action.

See despite the fire in my belly, I soon became dependent again. This time it wasn’t to a boss or coworker. It was to my sales pipeline. I needed clients. Feeding my family depended on it and the stress was getting to me.

My name is Robert Williams and I run Folyo, a community that helps freelancers and agencies find the work they were meant to do. We send exclusive referrals, RFPs, freelance contracts, and more to our members daily.

Hireable

Alexa Rank # 385,183

Elevate your career

Get hired with Hireable.

WPHired   

Alexa Rank # 395,377

About WPhired

In 2010, WPhired.com became one of the first WordPress Job Board connecting small to large business with talented WordPress talents.

Our Mission

We are dedicated to making a fuss-free way to simplify jobs hunting all other the world. Post a WordPress job that reaches 1,000+ WordPress experts. It’s free to post a job and will always be. Simply tell us your latest job position or simply what you need to have done.

WPhired is a WordPress Job Board offering and searching for WordPress talent. Whether you are looking for a WordPress job in design, help with WordPress migration, performance, plugin development, programmer, theme development, SEO or writing, this is the website to visit.

Who’s behind WPhired?

WPhired has been created by Jerome Degl’innocenti, a WordPress fanatic, who wants to make it easier for employers and people searching for a job alike to find what they are looking for FREE. You can follow WPhired.com on Twitter, Facebook or subscribe to the WordPress jobs RSS feed.

Crowdsite   

Alexa Rank #481,648

Crowdsite started as a spin-off of a software development company in 2009 and was founded by Roel Masselink (age 23). We started in the Netherlands with the website ontwerpen-voor-geld.nl; it was an instant hit and quickly it became the largest design website in the Netherlands. A dream was born, quickly we realised that the future of the site should be across borders.

In 2011 we started our first international adventure with logo-design.de. A lot of work was needed to be done to create multilingual website with a local experience in mind. After two years of testing and developing the website was ready to expand world wide.

In 2013 we decided to create one international brand for our business. The name crowdsite was perfect for the job. So we rebranded logo-design.de into crowdsite.de and launched the Englisch website crowdsite.com.

Coding Ninjas

Alexa Rank # 511,252

Coding Ninjas was created with a mission to make top remote talent available for every entrepreneur or organization of any size.

We rigorously test all developers and keep them in our back pocket ready to start the work right away.

Whenever there is a full-time role, a project, a specific integration, or just a small fix, you are all covered. Within hours we match you with an accountable developer from our community who is the best fit by qualification, availability, and budget.

LocalSolo

Alexa Rank # 758,930

About Us

The talent marketplace for top local freelance professionals

Our mission is to supercharge the connection between business and top-tier freelancers in major market cities. We make it easy for companies to find, and directly recruit, the best local contract talent for their needs.

The talent landscape is changing. Whether your company is an award-winning agency, an innovative startup, a worldwide corporation, or beloved local business, more and more of your workforce is going contract. Hiring freelance allows you to be nimble, project-focused and cost-effective, placing the best resources right where you need them, when you need them, for exactly how long you need them.

We built LocalSolo in Vancouver, British Columbia, to connect you directly to the best contract talent in your city. We don’t think it should be difficult, time consuming, or expensive, to find the top local freelancers your business requires for success.

OnSite       

Alexa Rank # 780,022

Hand picked talent.

OnSite helps you discover and connect with world class freelance talent. With no contracts to sign and no commission on bookings.

YunoJuno       

Alexa Rank # 815,037

About Us

Championing the future of work since 2012

What is YunoJuno?

YunoJuno is revolutionising the future of work. What started out as a curated marketplace for the creative industries has grown into the leading platform for London’s elite freelance creative network. Our platform supports the entire engagement lifecycle, from finding the perfect freelancer for your brief, through transparent and direct communication (no intermediary), to contract and time management, billing, and analytics.

We have a single bold mission: Unlock the true potential of freelance.

Epicjobs.co

Alexa Rank #865,905

Epicjobs is a platform for job seekers to find opportunities and learn about the people behind them via personal tweets and/or video interviews.

Joomlancers   

Alexa Rank # 1,123,846

About

BUSINESS INFO

Founded in November 2005

Mission

Buyers who are desperately looking for talented web developers to outsource their projects/works can:

– Register & create professional profiles as a buyer account free of charge

– FREE to post standard projects for receiving bids from thousands of talented professionals or small web development corporate

– FREE to search and browse professional profiles of 39,679 featured web developers and send bid invitations

– Enjoy advanced user control panel for financial management, transaction history, messages, profiles, etc

– Enjoy smart notifications for new bids, new messages and system of project management

Providers who are excellent at web development and want to offer services can:

– Register & create professional profiles as a provider free of charge

– Enjoy 10 FREE credits for placing bids monthly

– Flexible to pay us a small commission of 10% of won project value or subscribe to Gold membership of 10$ per month for commission waiver

– FREE to verify professional skills via testing system powered by ExpertRating – global credited service

– Enjoy advanced user control panel for financial management, transaction history, messages, profiles, etc

– Enjoy smart online notifications for new projects, new messages and system of bid management

Sologig   

Alexa Rank # 2,619,155

About Sologig

Sologig.com is a division of CareerBuilder – the global leader in human capital solutions – whose online career site, CareerBuilder.com, is the largest in the U.S. with 23 million unique visitors. Sologig is an employment website that connects experienced IT and engineering professionals and matches them with relevant opportunities. Users can also post resumes, sign up for automatic job alerts, and take advantage of job search management tools.

Localancers   

Alexa Rank # 6,066,230

What’s this?

Freelance / digital nomad directory (no commissions , just listings & contacts ) organised by location, accessible via all type of devices. Designed with time zones that are pleasure to work in and people who speak your language in mind. A place both for local cooperation and international outsourcing.

Who’s here?

Every progressive freelancer and client who values his/her time, the convenient filtering process, the innovative approach. Graphic designers, web developers, content writers, marketing specialists, SEO experts and other professionals who are ready to work remotely and give their best.

Localancers’ Pledge

We pledge that we’ll make this place better through time, polishing the existing cool features, asking questions, reinvesting the incomes in the platform and the Localancers’ society, defending our users and their best interest. We also need your support, so please register and spread the word in your blog!

The Creative Group

Alexa Rank show No Result

We are The Creative Group. Servicing all your creative needs.

General Freelancing Sites

Of course, there are a lot more general freelancing websites. I will list a few of them in the following:

• https://www.peopleperhour.com/
• https://remote.com/
• https://www.guru.com/
• https://www.truelancer.com/

Also, if you are looking for specialized freelancing platforms, you should look a bit further. For example, an excellent way of offering your writing services is:

iWriter

The best site for finding designers (and offering your design services) is:

99Designs

The best site for offering your programming services is:

Twago

Conclusions

The general freelancing sites such as Upwork, Toptal, and Fiverr are good enough for most cases.

In any case, you should focus on one platform and master it rather than hopping back and forth — all of those platforms have a strong “winner-takes-it-all” bias. So it’s much better to have many good ratings on one platform than to have a few good ratings on many platforms.

If you want to master the ins and outs of being a successful coder on these platforms, check out my professional Python freelancing course!

Where to Go From Here?

Enough theory. Let’s get some practice!

Coders get paid six figures and more because they can solve problems more effectively using machine intelligence and automation.

To become more successful in coding, solve more real problems for real people. That’s how you polish the skills you really need in practice. After all, what’s the use of learning theory that nobody ever needs?

You build high-value coding skills by working on practical coding projects!

Do you want to stop learning with toy projects and focus on practical code projects that earn you money and solve real problems for people?

If your answer is YES!, consider becoming a Python freelance developer! It’s the best way of approaching the task of improving your Python skills—even if you are a complete beginner.

If you just want to learn about the freelancing opportunity, feel free to watch my free webinar “How to Build Your High-Income Skill Python” and learn how I grew my coding business online and how you can, too—from the comfort of your own home.

Join the free webinar now!

The post What Are the Best Freelancing Sites for Coders? appeared first on Be on the Right Side of Change.