🪲 jendrikseipp/vulture: Find dead Python code (github.com)
As the name suggests, this tool helps detect “dead code” in your program, which means unused code. However, be careful, as Python’s dynamic nature makes this type of tool not always very reliable, which is well explained in the documentation.
🐍 What’s New In Python 3.13 (docs.python.org)
Here are the notable new features in Python 3.13, including an improved interactive interpreter (see this article for more details), clearer error messages, an embedded yet experimental just-in-time (JIT) compiler that is not enabled by default (Python compilation option), and an experimental mode without the famous Global Interpreter Lock (GIL) that could speed up certain programs.
🧠 Python: Show all subclasses of a class (adamj.eu)
A small piece of code that illustrates the use of the magic method subclasses() to recursively retrieve all subclasses of a parent class, handy for implementing a registry of classes, for example.
🛠️ pyinfra-dev/pyinfra (github.com)
A tool for deploying and managing infrastructure on an inventory of machines with SSH access; according to the documentation, it’s like an equivalent to ansible that is manipulated in Python rather than YAML and is supposed to be much faster.
🧪 Testing with Python (part 5): the different types of tests (bitecode.dev)
A well-written and enjoyable article that demystifies the different types of tests we might write, a must-read.
📚 Essays on programming I think about a lot (benkuhn.net)
The author presents us with a collection of articles discussing some fundamental principles of software development, a must-read again.
🔁 One way to fix Python circular imports (nedbatchelder.com)
A simple and very useful little “trick” to resolve certain circular import issues!
🎵 Python Notebooks for Fundamentals of Music Processing (audiolabs-erlangen.de)
A fantastic collection of educational notebooks to get started with the fundamentals of music processing.
🖥️ NVIDIA/warp: A Python framework for high performance GPU simulation and graphics (github.com)
A project by Nvidia that emerged in 2021 allowing the writing of compiled Python kernels for execution on GPU or CPU; check the FAQ to appreciate the differences with projects like Numba, Taichi, PyTorch.