Top 8 Profitable Python Packages to Learn in 2023

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Are you interested in Python but you don’t know which Python library is most attractive from a career point of view?

Well, you should focus on the library you’re most excited about.

But if you’re generally open because you have multiple passions, it would be reasonable to also consider annual and hourly income.

These are the most profitable Python libraries, frameworks, modules, or packages:

Python Library (Dev)Annual Income (USD)Hourly Income (USD)
Python Developer$82,000$55
Keras Developer$95,000$63
Django Developer$117,000$78
Flask Developer$103,000$69
NumPy Developer$105,000$70
Pandas Developer$87,000$58
TensorFlow Developer$148,000$99
PyTorch Developer$109,000$73
Table: Annual and Hourly Income of a developer focusing on different Python libraries/frameworks/packages/modules.

What is the most profitable Python library?

The most profitable Python library is TensorFlow. TensorFlow developers make $148,000 per year on average (US) which roughly translates to $99 per hour assuming an annual workload of 1500 hours.

Let’s dive into each Python library from the table, one by one.

#0 – General Python Developer

A Python developer is a programmer who creates software in the Python programming language. Python developers are often involved in data science, web development, and machine learning applications.

💰 A Python developer earns $65,000 (entry-level), $82,000 (mid-level), or $114,000 (experienced) per year in the US according to Indeed. (source)

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

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

🌍 Learn More: Read more about this specific Python library career path in our in-depth Finxter article.

#1 – Keras

Let’s have a look at the definition from the official Keras website:

“Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages. It also has extensive documentation and developer guides.”

A Keras Developer developer creates, edits, analyzes, debugs, and supervises the development of software written in the Keras deep learning framework. Keras developers create machine learning apps using deep learning.

💰 The average annual income of a Keras Developer in the United States is $95,000 per year, according to PayScale (source). Top earners make $156,000 and more in the US!

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

🌍 Learn More: Read more about this specific Python library career path in our in-depth Finxter article.

#2 – Django

What is Django? Let’s have a look at the definition from the official website (highlights by me):

“Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design. Built by experienced developers, it takes care of much of the hassle of web development, so you can focus on writing your app without needing to reinvent the wheel. It’s free and open source.”

A Django Developer developer creates, edits, analyzes, debugs, and supervises the development of software written in the Python programming language using the Django web development framework. You need to have good Python, HTML, and CSS skills.

💰 The average annual income of a Django Developer in the United States is between $101,000 (25th percentile) and $137,000 (75th percentile) with an average of $117,000 per year according to Ziprecruiter (source) and $90,000 per year according to PayScale (source). Top earners make $150,000 and more in the US!

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

🌍 Learn More: Read more about this specific Python library career path in our in-depth Finxter article.

#3 – Flask

A Flask Developer developer creates, edits, analyzes, debugs, and supervises the development of software written in the Flask programming language. You should have a basic understanding of web technologies such as HTML, CSS, JavaScript, and of course Python.

Let’s have a look at the definition from the Flask wiki page (highlights by me):

“Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries.

It has no database abstraction layer, form validation, or any other components where pre-existing third-party libraries provide common functions.

However, Flask supports extensions that can add application features as if they were implemented in Flask itself. Extensions exist for object-relational mappers, form validation, upload handling, various open authentication technologies and several common framework related tools.”

💰 The average annual income of a Flask Developer in the United States is between $79,000 (25th percentile) and $123,000 (75th percentile) with an average of $103,000 per year according to Ziprecruiter (source). Top earners make $151,000 and more in the US!

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

🌍 Learn More: Read more about this specific Python library career path in our in-depth Finxter article.

#4 – NumPy

Let’s have a look at the definition from the official NumPy website:

“Nearly every scientist working in Python draws on the power of NumPy. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.”

Here’s where NumPy is used in practice:

source

💰 The average annual income of a NumPy Developer in the United States is $105,000 per year according to PayScale (source). Top earners make $149,000 and more in the US!

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

🌍 Learn More: Read more about this specific Python library career path in our in-depth Finxter article.

#5 – Pandas

What is pandas? Let’s have a look at the definition from the official Pandas website:

“pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.”

You may also want to check out our Pandas resources on the Finxter blog:

💰 The average annual income of a Pandas Developer in the United States is $87,000 per year according to Ziprecruiter (source). Top earners make $125,000 and more in the US!

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

🌍 Learn More: Read more about this specific Python library career path in our in-depth Finxter article.

#6 – TensorFlow

A TensorFlow Developer creates, edits, analyzes, debugs, and supervises the development of code written with the TensorFlow library that is accessed mostly via the Python API. Because a TensorFlow developer is a deep learning engineer, they design and create machine learning models, train them, and improve them to reach high level of model accuracy and robustness.

Let’s have a look at the definition from the official TensorFlow website:

TensorFlow is “An end-to-end open source machine learning platform. The core open source library to help you develop and train ML models. TensorFlow makes it easy for beginners and experts to create machine learning models for desktop, mobile, web, and cloud. See the sections below to get started.”

💰 The average annual income of a TensorFlow Developer in the United States is between $104,000 (25th percentile) and $187,000 (75th percentile) with an average of $148,000 per year according to Ziprecruiter (source). Top earners make $197,000 and more in the US!

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

🌍 Learn More: Read more about this specific Python library career path in our in-depth Finxter article.

#7 – PyTorch

A PyTorch Developer writes code using in Python’s PyTorch library to analyze data, create machine learning models, or runs deep learning algorithms on various hardware devices such as GPUs.

👉 Recommended Tutorial: TensorFlow vs PyTorch — Who’s Ahead?

What Is PyTorch? Let’s have a look at the definition from the official PyTorch website:

“An open source machine learning framework that accelerates the path from research prototyping to production deployment. More specifically, PyTorch is an optimized tensor library for deep learning using GPUs and CPUs.”

💰 The average annual income of a PyTorch Developer in the United States is $109,000 per year according to PayScale (source). Top earners make $131,000 and more in the US!

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

🌍 Learn More: Read more about this specific Python library career path in our in-depth Finxter article.

#Bonus – Plotly Dash

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Summary

These are some of the most profitable Python libraries you could build your career on: