Python notes

Delve into the world of asynchronous programming in Python with a focus on asyncio protocols, understanding how they enable efficient and scalable network applications. This article offers insights into building responsive and concurrent systems using asyncio. https://jacobpadilla.com/articles/asyncio-protocols

CLI tool for developing and profiling GPU kernels locally. Just write, test, and profile GPU code from your laptop. https://github.com/Herdora/chisel

Discover a method for statically checking Python dictionaries to ensure they contain all the required keys, improving code reliability and preventing runtime errors. This blog post provides a solution for enhancing the robustness of your Python projects. https://lukeplant.me.uk/blog/posts/statically-checking-python-dicts-for-completeness/

Dynamic Django admin panel https://github.com/husseinnaeemsec/octopusdash

Explore the nuances of Django's values() and only() methods and understand when to use each for optimal database query performance. This post helps you make informed decisions to enhance your Django application's efficiency. https://johnnymetz.com/posts/django-values-over-only/

Row Level Security for Django https://github.com/kdpisda/django-rls

Learn how to enhance the clarity and robustness of your Python dataclasses by leveraging keyword-only arguments. This blog post provides a practical tip for improving code maintainability and preventing unexpected behavior. https://chipx86.blog/2025/06/29/tip-use-keyword-only-arguments-in-python-dataclasses

Powerful universal JSON encoder/decoder for Python objects with support for pydantic v2. https://github.com/Pipelex/kajson

Dive into the world of Python packaging and discover how UV and PEP 723 are revolutionizing the way we manage dependencies. This article explores the exciting possibilities these advancements bring to the Python ecosystem. https://www.cottongeeks.com/articles/2025-06-24-fun-with-uv-and-pep-723

Struggling with slow Python code? This guide provides practical strategies for optimizing your Python programs and achieving significant speed improvements. https://pythonspeed.com/articles/different-ways-speed

A Tree Search Library with Flexible API for LLM Inference-Time Scaling https://github.com/SakanaAI/treequest

Python For Nonprofits demonstrates how to use Python to retrieve, analyze, visualize, and share nonprofit data. https://github.com/kburchfiel/pfn

Dive into the world of Python logging and discover how to effectively track and debug your applications. This guide provides a comprehensive overview of Python's logging module, empowering you to implement robust logging strategies for improved code maintainability and troubleshooting. https://www.dash0.com/guides/logging-in-python

Spegel - Reflect the web through AI https://github.com/simedw/spegel

Unlock the secrets hidden within your passport by learning how to read its NFC chip using Linux. This guide reveals the tools and techniques needed to access the data stored on your passport, offering a glimpse into the technology that secures your identity. https://shkspr.mobi/blog/2025/06/reading-nfc-passport-chips-in-linux/

Valentino Gagliardi's article provides actionable advice for making Django web forms more accessible, covering best practices and practical examples to ensure your forms are usable by everyone, including people with disabilities. https://www.valentinog.com/blog/django-accessible-web-forms/

This guide walks you through building a modern web application by integrating FastAPI on the backend with Svelte on the frontend, offering a step-by-step approach to creating a full-stack project with asynchronous APIs and reactive user interfaces. https://testdriven.io/blog/fastapi-svelte/

Delve into the mechanics of NumPy's powerful einsum function in this insightful blogpost by Eli Bendersky, which breaks down its syntax, use cases, and performance benefits for array operations and tensor algebra. https://eli.thegreenplace.net/2025/understanding-numpys-einsum/

Explore how to reliably compare different types of iterables in Python with this concise article, which demonstrates practical techniques for checking equality between lists, tuples, and even iterator-based objects. Learn why direct equality checks may fail and how converting iterables to lists can ensure accurate comparisons. https://www.pythonmorsels.com/iterable-equality/

Tim Kamanin demonstrates how to leverage Django’s perms context variable to conditionally render UI elements based on user permissions . This lesson shows how to check the wagtailadmin.access_admin permission within templates to display or hide an Admin panel link . https://timonweb.com/django/checking-current-user-permissions-in-django-templates/