How to Set Up Continuous Integration with Python

🐍📰 PyCharm for Productive Python Development (Guide) In this step-by-step tutorial, you'll learn how you can use PyCharm to be a more productive Python developer. #python

🐍 Python Development Tools — On this page you will find articles that will help you get started on the road to mastering the most common tools used in the Python ecosystem. Knowing how to use these tools will serve you well in your career https://lnkd.in/g-e3xpA

🐍📰 Emacs: The Best Python Editor? In this step-by-step tutorial, you'll learn about using Emacs for Python development. You'll install and configure Emacs on your selected platform, then write Python code to explore its capabilities #python

🐍📰 Learn to effectively debug Python errors using tracebacks, print statements, breakpoints, and tests. Acquire the essential tools to fix bugs more quickly and write better code. #python

🐍📰 Managing Python Projects With uv: An All-in-One Solution In this tutorial, you'll learn how to create and manage your Python projects using uv, a high-speed Python package and project manager written in Rust. #python

I just wrote about uv, a new and faster alternative to pip for Python package management — built with Rust for incredible speed ⚡ In the article, I explain how it compares to pip, why it matters, and how to start using it in your projects. 📖 Read it here: 🔗 https://lnkd.in/dhZW8Kse 🔗 https://lnkd.in/d8sPkrmW #Python #uv #pip #Programming #Developers #Tech

🐍📰 Introduction to Git and GitHub for Python Developers What is Git, what is GitHub, and what's the difference? Learn the basics of Git and GitHub from the perspective of a Pythonista in this tutorial. #python

This article provides an insightful overview of using uv, a fast Python package manager that simplifies dependency management directly from the terminal. I found it interesting that such tools can significantly streamline the development process for Python developers. What stood out to me was the emphasis on speed and efficiency—something every developer strives for. How do you manage your Python dependencies? Let’s discuss!

🐍📰 Python Descriptors: An Introduction In this step-by-step tutorial, you'll learn about the descriptor protocol and how the lookup chain works when you access an attribute. You'll also see a few practical examples. #python

Qt for Python 6.10 has been released! This release primarily focuses on integrating the extensive new features introduced in Qt 6.10, while simultaneously addressing several refinements across both PySide6 and Shiboken6. Check out all the details here: