Emily Rosemary Collins
As a Python developer, you might have come across the concept of asynchronous programming. Asynchronous programming, or async I/O, is a concurrent programming design that has received dedicated support in Python, evolving rapidly from Python 3.4 through 3.7 and beyond. With async I/O, you can manage multiple tasks concurrently without the complexities of parallel programming, … Read more
In Python, “dunder” methods, short for “double underscore” methods, are special methods that allow developers to define the behavior of built-in operations for custom objects. For instance, when you use the + operator to add two objects, Python internally calls the __add__ method. Similarly, other operators have their corresponding dunder methods. However, the term “not … Read more
As a Python developer, you might be familiar with lambda functions, which provide a simple and concise way to create anonymous functions. However, when it comes to asynchronous programming, you may wonder if it is possible to use async and await within lambda functions to create “async lambdas.” Currently, Python does not natively support async … Read more
Asyncio Overview Asyncio is a Python library that allows you to write asynchronous code, providing an event loop, coroutines, and tasks to help manage concurrency without the need for parallelism.With asyncio, you can develop high-performance applications that harness the power of asynchronous programming, without running into callback hell or dealing with the complexity of threads. … Read more
As a Python developer, you may often deal with making HTTP requests to interact with APIs or to retrieve information from web pages. By default, these requests can be slow and block your program’s execution, making your code less efficient. This is where Python’s async requests come to the rescue. Asynchronous HTTP requests allow your … Read more
In Python, the async for construct allows you to iterate over asynchronous iterators, which yield values from asynchronous operations. You’ll use it when working with asynchronous libraries or frameworks where data fetching or processing happens asynchronously, such as reading from databases or making HTTP requests. The async for loop ensures that while waiting for data, … Read more
This article delves into the diverse methods of extracting values from Python’s Enum class. The Enum class in Python offers a platform to define named constants, known as enumerations. These enumerations can be accessed through various techniques: This article underscores the adaptability and multifaceted nature of the Enum class in Python, illustrating the myriad ways … Read more
Python’s async and await are powerful features that enable you to write asynchronous code to improve the performance of your applications, particularly when dealing with I/O-bound and high-level structured network code. Async and await are used with coroutines, which are special functions that can pause and resume their execution at specific points. This allows multiple … Read more
Selenium is a powerful tool for automation testing, allowing you to interact with web pages and perform various tasks, such as opening URLs, clicking buttons, and filling forms. As a popular open-source framework, Selenium supports various scripting languages, including Python. By using Python and Selenium WebDriver, you can simplify your web testing processes and gain … Read more
Ever found yourself scratching your head, trying to figure out why someone would invest in ether (ETH) instead of just using it on the Ethereum network? Let’s look at Fidelity’s recent report on Ethereum’s Investment Thesis. Ethereum vs Ether Ethereum vs. Ether: Picture Ethereum as a bustling digital city, and ether (ETH) as the currency … Read more
An autoencoder is a neural network that learns to compress and reconstruct unlabeled data. It has two parts: an encoder that processes the input, and a decoder that reproduces it. While the original transformer model was an autoencoder with both encoder and decoder, OpenAI’s GPT series uses only a decoder. In a way, transformers are … Read more
Deep learning has revolutionized various fields, including image recognition and natural language processing. Two prominent architectures have emerged and are widely adopted: Convolutional Neural Networks (CNNs) and Transformers. CNNs and Transformers differ in their architecture, focus domains, and coding strategies. CNNs excel in computer vision, while Transformers show exceptional performance in NLP; although, with the … Read more