The open-source Python development landscape is constantly evolving, with new tools and frameworks shaping the ecosystem. This blogpost explores key trends and innovations.
https://blog.dailydoseofds.com/p/open-source-python-development-landscape

Understanding single and double underscore naming conventions in Python is essential for writing clean and maintainable code. This course covers the usage and best practices.

https://realpython.com/courses/single-double-underscore-naming-conventions/

Flask-SQLAlchemy simplifies database management in Python applications. This article provides an introduction to using Flask-SQLAlchemy for effective database integration.

https://blog.appsignal.com/2025/02/26/an-introduction-to-flask-sqlalchemy-in-python.html

The recursive internet scanner for hackers. 🧡

https://github.com/blacklanternsecurity/bbot

Building a to-do app with Kivy offers a hands-on approach to learning Python GUI development. This tutorial walks through the steps to create your own to-do app using Kivy.

https://www.pythonguis.com/examples/kivy-to-do-app/

Managing a Python monorepo can be challenging but rewarding. This article breaks down strategies and tools to successfully handle Python projects within a monorepo.

https://gafni.dev/blog/cracking-the-python-monorepo/

Define c structs with typing

https://github.com/fchorney/pystructtype

Polars LazyFrame offers an efficient way to handle large datasets in Python. This article explores the features and advantages of using LazyFrame for data processing.

https://realpython.com/polars-lazyframe/

This article examines the latest trends in Rust, C, and Python job postings on Hacker News, providing insights into the growing demand for these languages.

https://martin.wojtczyk.de/2025/02/20/rust-c-and-python-trends-in-jobs-on-hacker-news-february-2025/

TerminalTextEffects (TTE) is a terminal visual effects engine, application, and Python library.

https://github.com/ChrisBuilds/terminaltexteffects

This article explores the debate on whether to use static typing or dynamic typing in programming, discussing the pros and cons of each approach.

https://blog.jonathanchun.com/2025/02/16/to-type-or-not-to-type/

This guide provides a step-by-step approach to deploying a Streamlit app using Cloudflared, BeautifulSoup, Pandas, and Plotly for real-time cryptocurrency web scraping and visualization.

https://www.marktechpost.com/2025/03/05/a-step-by-step-guide-to-deploy-streamlit-app-using-cloudflared-beautifulsoup-pandas-plotly-for-real-time-cryptocurrency-web-scraping-and-visualization/

Python requests on steroids.

https://github.com/theonlyanil/stealthkit

This essay delves into the nuances of Python programming, highlighting practical tricks that enhance code readability and performance. By mastering these techniques, developers can elevate their skills from basic noscripting to crafting sophisticated applications.

https://dev.to/0x3d_site/python-one-trick-at-a-time-a-guide-for-devto-readers-hj5

Quick CRUD views for Django

https://github.com/carltongibson/neapolitan

This tutorial explores the use of Python's shelve module as a simple yet effective caching solution, particularly beneficial for speeding up development and debugging processes involving large language models. By leveraging shelve, developers can create a persistent key-value store that significantly reduces the time and cost associated with repeated model queries.

https://www.jerpint.io/blog/python-shelve-as-cache/

This video by Corey Schafer explores the creation of a March Madness bracket simulator using Python, focusing on realistic tournament simulations based on team seeds. The project utilizes Python's dataclasses for team representation and a weighted probability system to simulate games, allowing for both expected outcomes and potential upsets.

https://www.youtube.com/watch?v=4TFQD0ok5Ao

This post highlights essential Python shortcuts that can significantly streamline development processes, focusing on leveraging built-in features and community resources to write more efficient code. By adopting these shortcuts, developers can reduce coding time, improve debugging efficiency, and stay updated with the latest Python advancements without feeling overwhelmed.

https://dev.to/0x3d_site/python-shortcuts-that-save-you-hours-5dfp

This blog post provides an early look at Red Knot, a promising Python type checker developed by the Astral team, which aims to be faster and more efficient than existing tools like mypy. Despite being under development and not yet officially released, Red Knot shows potential with its speed and type inference capabilities, though it still lacks comprehensive documentation and may not be a direct replacement for mypy or pyright.

https://jurasofish.github.io/a-very-early-play-with-astrals-red-knot-static-type-checker.html