Learn how to use Loguru to implement better logging in your Python applications quickly and with less configuration. Spend more time debugging effectively with cleaner, more informative logs.

Manim: Create Mathematical Animations Like 3Blue1Brown Using Python

In my last post, I talked about why I practice TDD and why I want to share my learning progress in testing. Today I want to talk about what pytest fixtures are, when I use them and how you can share fixtures across your tests. What are pytest fixtures? Imagine

Pytest’s parametrize feature is powerful but it looks scary. I hope this step-by-step explanation helps people use it more.

PEP-734 subinterpreters in the stdlib has officially been included in the Python 3.14 as a very late addition. subinterpreters now has a new home...

When testing code that outputs to the terminal through either standard out (stdout) or standard error (stderr), you might want to capture that output and make assertions on it. To do so, use contextlib.redirect_stdout() and contextlib.redirect_stderr() to redirect the respective output streams to in-memory buffers that you can then inspect and assert on.

Learn how to use Loguru for structured contextual and productiongrade logging in Python without the boilerplate of the standard logging module

A collection of advanced Python features that I've found interesting, underrated, or unique - as someone who's seen a lot of Python code.

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An exploration of using flexicache for caching in Python.

This article briefly describes the iterators available in the Python module itertools and how to use them.

Learn how to add Celery to a FastAPI application to provide asynchronous task processing.

Mastering fuzzy logic in Python involves understanding the principles of fuzzy logic and how to implement them using Python libraries…

Why this article and what we'll cover In this article we'll go over the basics of how to...

In this tutorial, we will walk you through the process of integrating JWT (JSON Web Tokens) with FastAPI to secure user authentication. If you want to add JWT authentication to your FastAPI application, this video is for you! If you are new to FastAPI or JWT, don't worry. We will cover the basics and gradually move towards more advanced topics. You'll get to understand not only how to implement JWT but also why it is important. FastAPI JWT authentication is what you want to use for your JWT Python project 🎥 React + FastAPI: https://youtu.be/0zb2kohYZIM 🎥 AWS Lambda + FastAPI: https://youtu.be/7-CvGFJNE_o 🎥 MongoDB + FastAPI: https://youtu.be/QkGqjPFIGCA 🎥 MySQL + FastAPI: https://youtu.be/zzOwU41UjTM 🎥 PostgreSQL + FastAPI: https://youtu.be/398DuQbQJq0 =========================== 🎓 Courses can be found: FastAPI Beginner & Advanced: https://www.udemy.com/course/fastapi-the-complete-course/?referralCode=4F4A35C1A243D23A1A59 Learn Chatbot Development: https://www.udemy.com/course/the-complete-chatbot-bootcamp/?referralCode=2654798EE9F9998023B9 =========================== 🛒 GEAR & RECOMMENDED BOOKS: https://kit.co/codingwithroby 👨‍💻 Hi, I am Eric!👨‍💻 Hey! I’m a seasoned developer and cloud enthusiast. I love sharing my knowledge and helping others to discover the exciting world of programming and cloud technologies. For more tutorials, tips, and tech magic, don’t forget to hit that subscribe button and ring the bell for notifications! 🙏 Support The Channel 🙏 If you found this tutorial helpful, please give it a thumbs up 👍, comment, and share it with your network 🌍 #fastapi #python #programming

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

In this tutorial, you'll preview the new static typing features in Python 3.12. You'll learn about the new syntax for type variables, making generics simpler to define. You'll also see how @override lets you model inheritance and how you use typed dictionaries to annotate variable keyword arguments.

Learn how Python 3.12 generics make type-hinting easier and clearer. Use the new syntax to enhance your code's structure and readability.

Today I learned about 5 useful pytest options that let me control what tests to run with respect to failing tests.

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Learn about the differences between Requests, HTTPX, and AIOHTTP, and when to use each library for your Python projects.

A algorithmic tookit for working with trees in Python

With the recent explosion of LLM tools, I often like to kill time fiddling with different LLM client libraries and SDKs in one-off scripts. Lately, I’ve noticed that some newer tools frequently mess up the logger settings, meddling with my application logs. While it’s less common in more seasoned libraries, I guess it’s worth rehashing why hijacking the root logger isn’t a good idea when writing libraries or other forms of reusable code.

We can run asyncio.gather() in the background by not awaiting the call to asyncio.gather(). The asyncio.gather() returns an asyncio.Future that does not have to be awaited. It is scheduled for execution in the asyncio event loop, along with all coroutines provided to the gather. Therefore, the caller is free to proceed with other activities and […]