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News & links about Python programming.
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Procrastinate - PostgreSQL Task Queue for Python (Celery Alternative!)

This video introduces Procrastinate, a PostgreSQL-based task queue for Python, offering a simpler alternative to Celery by leveraging Postgres for task management, eliminating the need for additional services like Redis or RabbitMQ. The tutorial covers setting up Procrastinate with Django, defining and triggering tasks, including scheduled tasks, and integrating it with the Django admin ...

https://www.youtube.com/watch?v=6puV9y7K0z8
The REAL Reason You Should Use Type Hints in Python

This video explains that the true power of type hints in Python lies in how they encourage better code design by prompting developers to think more generically about data structures. The video also highlights the principle that inputs should be as generic as possible (contravariant), while outputs should be as specific as possible (covariant).

https://www.youtube.com/watch?v=0oBLMwHdZ2Y
Scaling Python Task Queues Effectively

Task queues are a great way to offload work to the background but scaling Python task queues is tricky. Learn how you can keep your task queues chugging along!

https://judoscale.com/blog/scaling-python-task-queues
Writing N-body gravity simulations code in Python

https://alvinng4.github.io/grav_sim/5_steps_to_n_body_simulation/
3 Python AI Projects for Beginners - Full Tutorial

This video provides a step-by-step guide on how to build three beginner-friendly Python AI projects: an AI agent, a resume critiquer, and an image classifier. The tutorial covers the necessary Python libraries and tools, including Langraph, Langchain, Streamlit, TensorFlow, and OpenCV.

https://www.youtube.com/watch?v=XZdY15sHUa8
An Empirical Study on the Performance and Energy Usage of Compiled Python Code

This study investigates how various Python compilers—such as PyPy, Numba, Nuitka, Mypyc, Codon, Cython, and Pyston-lite—affect execution time, energy consumption, and memory usage across different benchmarks. Results indicate that tools like Codon, PyPy, and Numba can achieve over 90% improvements in speed and energy efficiency compared to standard CPython.

https://arxiv.org/pdf/2505.02346
Introducing Typerdrive: Develop API-Connected Typer Apps at Lightspeed

Typerdrive is a Python package that extends Typer to simplify building CLI tools that interact with APIs. It offers built-in support for settings management, caching, error handling, logging, and client configuration, enabling developers to create robust, user-friendly command-line applications more efficiently.

https://blog.dusktreader.dev/2025/05/13/introducing-typerdrive-develop-api-connected-typer-apps-at-lightspeed/