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.

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 […]

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...

I use f-strings every day. The irony is I also every day end up searching the Web to find the correct format to use. Until one day I thought a

Discover the power of Pydantic, Python's most popular data parsing, validation, and serialization library. In this hands-on tutorial, you'll learn how to make your code more robust, trustworthy, and easier to debug with Pydantic.

The rise of Large Language Models (LLMs) has brought about a significant shift in technology, empowering developers to create applications…

Setting Python Development Environment with VScode and Docker

the data loading library for python

Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More...

The easiest way to build scalable LLM-powered applications, which get cheaper and faster over time. - monkeypatch/monkeypatch.py: The easiest way to build scalable LLM-powered applications, which g...

So you are interested in testing, do you? Are you not already doing it? That’s the right time to start then!

An open source technical publishing system for creating beautiful articles, websites, blogs, books, slides, and more. Supports Python, R, Julia, and JavaScript.

A next-generation Python notebook: explore data, build tools, deploy apps! - marimo-team/marimo: A next-generation Python notebook: explore data, build tools, deploy apps!