Python PEP 8 Style Guide for Clean Code

PEP 8 is more than just formatting — it’s about writing readable, maintainable, and professional Python code. I’ve been revisiting Python best practices and put together a quick PEP 8 cheat sheet to help reinforce clean code habits. Whether you’re a beginner or revising Python, consistency and readability really do matter. #Python #PEP8 #CleanCode #Programming #LearningInPublic

Whether you’re new to programming or an experienced developer, this course will help you get started with Python. Instructor walks you through the installation process, core Python syntax, and demonstrates how to build and run a simple Python program. You’ll also learn how to work with dates and times, read and write files, and retrieve, parse, and work with JSON and XML data from the web. The course includes Code Challenges powered by CoderPad, offering interactive coding exercises with real-time feedback. These challenges allow you to practice hands-on coding alongside the lessons and strengthen your Python skills as you progress. Happy Learning :)

I've been doing some Python/C API work lately for a client: writing a C layer, packaged as a Python wheel, that allows you to invoke that C code from Python. It's really fun and the Python/C API is very well documented. It teaches a lot about how Python works under the hood, for example the ref count system. It's really not so complex once you get familiar with it. The fun thing is that it opens the door to all kinds of things, for example you can call native code, or call code from C or C++ libraries. Perhaps I'll make a little demonstration, for example to show how to invoke a native voice-to-speech framework from Python. Or maybe invoke some JUCE code..? :D I wonder if you could create an audio plugin host from Python 🤔 Join my newsletter: https://lnkd.in/eUr7bAGC

The numbers here are pretty striking. Installing JupyterLab in ~2s with uv vs ~21s with pip is a big difference, especially for CI pipelines. I like how this Real Python article breaks down not just speed, but also reproducibility and dependency handling. Definitely worth a look if you’re working on Python projects at scale. #Python #uv #pip #DevTools #CI

🐍 Python Best Practices — Here you'll find specific resources that will teach you how to idiomatically use the features of #Python, what sets it apart, and how writing in Python is different than writing code in another language. https://lnkd.in/gpsrB_B

I almost never use Context7 MCP with coding agents. Instead I put dependencies in a dir (e.g. .venv for Python) under my project root, and ask the agent to check a dependency's source code directly when needed. It works perfectly.

How to Write a Python Function: A Beginner's Guide Tired of messy code? Learn how Python functions transform chaos into elegant solutions that will make you fall in love with programming again. https://lnkd.in/gWXrbY93

🚀 How to Write Clean & Understandable Python Code 🐍 Clean code is not just about making programs work — it’s about making them easy to read, easy to maintain, and easy to scale. In this post, I’ve highlighted: ✅ Meaningful variable & function names ✅ Following PEP 8 standards ✅ Writing modular and reusable functions ✅ Proper comments & doc strings ✅ Error handling best practices ✅ DRY principle (Don’t Repeat Yourself) ✅ A simple real-world Python example that ties everything together 💡 Why clean code matters? Because code is read more often than it is written — by teammates, reviewers, and even your future self. If you’re a beginner, this will help you build strong foundations. If you’re experienced, it’s a great reminder of best practices we should never skip. 👉 Swipe / view the image for a quick and clear guide. Let me know in the comments💬: What’s one clean-code habit you always follow in Python? 👇

In my first blog, I discuss the 5 (+2) steps of creating graphical user interface (GUI) applications using Python's FreeSimpleGUI library, which will allow us to elevate the creation of engineering templates beyond spreadsheets. While this requires a working knowledge of Python, hopefully everyone who are not that familiar with the programming language can benefit from this as well. The source code for the example in this post can be found toward the end, which you can download to modify, add new features, and customize to your liking. Enjoy! 😁 https://lnkd.in/gVGAA9fg

Day 13 - Python Modules & Packages Today I focused on Python modules and packages, a core concept that helps structure code into reusable and maintainable components. I practiced creating custom modules (like example.py) and importing them into other scripts using import. This allows us to organize functions and variables into logical files and avoid repeating code across projects. I also explored pip, the Python package manager that lets us install, list, update, and manage external packages from the Python Package Index (PyPI). This is essential for working with frameworks and libraries in real‑world applications. Topics covered: [Creating and importing custom modules] [Using module functions and variables] [Understanding Python packages] [Working with pip commands for installation and updating] practicing these fundamentals helps me write cleaner, more scalable Python code. GitHub repository: https://lnkd.in/gs4HAr-w Consistent progress, one concept at a time.