Python notes – Telegram
This piece introduces Unvibe, a Python library that uses unit tests as a reward function to guide Large Language Models in generating correct code. The author, Claudio Santini, explains that this approach works well for generating complex code within large, existing codebases, provided they are well-tested.
https://claudio.uk/posts/unvibe-a-python-test-runner-that-generates-correct-implementations.html
Dan LaManna's latest post reflects on a long-standing architectural issue within the Django framework that has recently been addressed. The author celebrates the solution, marking a significant improvement for the popular web framework.
https://danlamanna.com/posts/rest-in-peace-djangos-framework-problem/
This article from Pybites offers a practical look at using the uv tool to streamline Python package development and testing. It walks through the setup and commands needed to integrate this fast new tool into your workflow.
https://pybit.es/articles/developing-and-testing-python-packages-with-uv/
👍3
The Textualize blogpost delves into the specific algorithms that enable high-performance applications to run smoothly within the terminal. It explains the technical challenges and clever solutions required for building responsive TUIs.
https://textual.textualize.io/blog/2024/12/12/algorithms-for-high-performance-terminal-apps/
Charles Oliveira provides a detailed guide for developers facing a common database challenge in Django. The instructions outline a method for migrating a primary key to a BigInt field without causing application downtime.
https://charlesoliveira.dev/blog/migrate-django-bigint-field/
In his write-up, "Python's shadowing behavior always surprises me," Nick Tietz explores a nuanced aspect of Python's scoping rules. He explains how variables can unintentionally hide others, leading to unexpected bugs.
https://ntietz.com/blog/pythons-shadowing-behavior-always-surprises-me/
Carlton Gibson offers a reflective essay on what he would do differently if he were beginning his software development journey today. It provides advice and perspective for those who are new to the field.
https://buttondown.com/carlton/archive/if-i-were-starting-out-now/
👍1
This commentary from Jyn.dev embraces the idea of writing imperfect but effective Python code to solve real-world problems. The piece argues that pragmatic solutions are often more valuable than technically perfect ones.
https://jyn.dev/terrible-horrible-no-good-very-bad-python/
A recent report from The New Stack covers the major announcement that Nvidia is adding native Python support to its CUDA platform. This development is set to make GPU programming significantly more accessible for the Python community.
https://thenewstack.io/nvidia-finally-adds-native-python-support-to-cuda/