Python

p Chances are that you never touched and maybe haven't even heard about Python's code class="inline"weakref/code module. While it might not be common...

Understanding Concurrency in Python Concurrency refers to the execution of multiple tasks simultaneously in a program. There are primarily three ways to introduce concurrency in Python - Multithreading, Multiprocessing and Asyncio.

In this tutorial, you'll learn the basics of working with Python's numerous built-in functions. You'll explore how to use these predefined functions to perform common tasks and operations, such as mathematical calculations, data type conversions, and string manipulations.

In this tutorial, you'll learn how to use the Python mock object library, unittest.mock, to create and use mock objects to improve your tests. Obstacles like complex logic and unpredictable dependencies make writing valuable tests difficult, but unittest.mock can help you overcome these obstacles.

Simon & Garfunkel wrote the playbook. Well, at least the Bookends.

Intro to using Python's httpx library for web scraping. Proxy and user agent rotation and common web scraping challenges, tips and tricks.

One of the main appeals of using Python’s asyncio is being able to fire off many coroutines and run them concurrently. How many ways do you know for waiting for their results?

Python tips and tricks

FastAPI framework, high performance, easy to learn, fast to code, ready for production

In this tutorial, you'll explore Python's __pycache__ folder. You'll learn about when and why the interpreter creates these folders, and you'll customize their default behavior. Finally, you'll take a look under the hood of the cached .pyc files.

Python's logging module isn't the only way to create logs. There are several third-party packages you can use, too. One of the most popular is Loguru. Loguru intends to remove all the boilerplate you get with the Python logging API. You will find that Loguru greatly simplifies creating logs in Python.

Python logging made (stupidly) simple.

Symbolica is a blazing fast computer algebra system.

This tutorial dives into Python sequences, which is one of the main categories of data types. You'll learn about the properties that make an object a sequence and how to create user-defined sequences.

In this video, Ben Finkel covers how to create an asynchronous API call in Python. A lot of internet resources have detailed articles that discuss all the in...

Learn how to speed up slow Python code with concurrent programming and the cutting-edge asyncio library./bbr/br/ Python is flexible, versatile, and easy to learn. It can also be very slow compared to lower-level languages. Python Concurrency with asyncio/i teaches you how to boost Python's performance by applying a variety of concurrency techniques. You'll learn how the complex-but-powerful asyncio library can achieve concurrency with just a single thread and use asyncio's APIs to run multiple web requests and database queries simultaneously. The book covers using asyncio with the entire Python concurrency landscape, including multiprocessing and multithreading.

05bit/peewee-async, peewee-async Asynchronous interface for peewee ORM powered by asyncio. Important notes Since version 0.6.0a only peewee 3.5+ is supported If you still

In this video, I will show you how to take a slow running script with many API calls and convert it to an async version that will run much faster. I use AIOH...

Threading in Python is simple. It allows you to manage concurrent threads doing work at the same time. The library is called "threading", you create "Thread" objects, and they run target functions for you. You can start potentially hundreds of threads that will operate in parallel, and work through tasks faster.

We can run multiple concurrent asyncio event loops by starting and running each new event loop in a separate thread. Each thread can host and manage one event loop. This means we can start one thread per event loop we require, allowing a program to potentially scale from thousands to millions of coroutines. In this […]

Develop Python-based apps with confidence by mastering the tools needed to ship well-tested, high-quality code.

This tutorial looks at how to develop and test an asynchronous API with FastAPI, Postgres, pytest, and Docker using Test-driven Development (TDD).

We can define coroutine methods on custom Python objects. This allows methods on custom Python objects to use async/await syntax, such as awaiting other coroutines and tasks and allows the custom coroutine methods themselves to be awaited within our asyncio programs. In this tutorial, you will discover how to define object methods as coroutines. Let’s […]

Today I learned how to use named tuples to improve readability and flexibility of test parametrisations in pytest.

This tutorial explores lazy evaluation in Python and looks at the advantages and disadvantages of using lazy and eager evaluation methods. By the end of this tutorial, you'll clearly understand which approach is best for you, depending on your needs.

py2wasm converts your Python programs to WebAssembly, running them at 3x faster speeds

Introduction In this article, we will discuss the importance of code linting and how to...