This concise, straight-to-the-point article will walk you through a list of the best open-source libraries for making HTTP requests (GET, POST, PUT, DELETE, etc) in modern Python. httpx Overview: GitHub stars: 11k+ License:......
This concise article is about a common issue related to asynchronous programming in Python. The Problem When using async/await in Python, you might confront this error: RuntimeWarning: coroutine 'something' was never......
What is the Point? The match/case statement in Python is used to implement switch-case like characteristics and if-else functionalities. It was introduced in Python 3.10. The match statement compares a given variable’s value to......
What is the Point? In Python, you can handle exceptions using the try/except/else/finally statements. These statements provide a way to catch and handle exceptions, execute specific code when no exceptions occur, and perform cleanup......
What is the point? The with statement in Python provides a convenient way to manage resources, such as files, databases, or network connections, by ensuring that they are properly opened and closed. It simplifies the process of......
In Python, the shorthand syntax for an if/else statement is called a conditional expression or a ternary operator. It allows you to write a concise one-liner to evaluate a condition and choose one of two values based on the result of that......
What is the Point? The while loop in Python is a type of loop that executes a block of code repeatedly as long as a given condition is True. Unlike the for loop, which iterates over a fixed sequence of values, the while loop can run......
This concise article is about positional and keyword arguments in Python. Positional arguments Positional arguments are arguments that are passed to a function by their position or order in the function call. They are assigned to......
This concise and straight-to-the-point article shows you how to define and call an asynchronous function (async function) in Python (you’ll need Python 3.5 or higher). Defining an Async Function In order to define an......
Overview Generators in Python are a way of creating iterators that can produce a sequence of values lazily without storing them all in memory at once. Their purpose is to simplify the creation of iterators and to enable efficient......
This concise, straight-to-the-point article will walk you through some different ways to deal with exceptions when using async/await in Python Using try/except blocks You can use the standard try/except blocks to catch and handle......
A timeout is a limit on the amount of time that an operation can take to complete. We need it when using async/await in Python because some operations may be slow, unreliable, or unresponsive, and we don’t want to wait indefinitely for......