PythonHub

Astral: Next-Gen Python Tooling https://astral.sh/

llm-jq Write and execute jq programs with the help of LLM. https://github.com/simonw/llm-jq

Moonshine Fast and accurate automatic speech recognition (ASR) for edge devices. https://github.com/usefulsensors/moonshine

Be Careful With Removing Code Duplication This video refactors some tricky, hard-to-detect code duplication, provides an example of when it’s best to leave duplicated code as is, and shares a few tips on how to avoid duplication altogether. https://www.youtube.com/watch?v=6AGDnJ_26uw

Tinylangs: Programming languages in 50 lines of Python https://github.com/zserge/tinylangs

Zero Downtime Django Deployments with Multistep Database Changes Preventing downtime during deployments is crucial for maintaining service availability and ensuring a positive user experience. Blue-green deployments have emerged as a popular strategy to achieve this goal. However, they introduce challenges, especially when dealing with database changes. This article delves into what blue-green deployments are, why database changes can be tricky in thi... https://johnnymetz.com/posts/multistep-database-changes/

Algorithmic Music Generation with Python https://github.com/atiriko/Music

Adding keyboard shortcuts to the Python REPL The article discusses how to enhance the Python REPL (Read-Eval-Print Loop) by adding custom keyboard shortcuts to improve efficiency and user experience. It provides step-by-step instructions for implementing these shortcuts, enabling users to navigate and execute commands more effectively. https://treyhunner.com/2024/10/adding-keyboard-shortcuts-to-the-python-repl/

Embeddings are underrated https://technicalwriting.dev/data/embeddings.html

Venvstacks: Virtual Environment Stacks for Python https://lmstudio.ai/blog/venvstacks

ClickPy PyPI analytics powered by ClickHouse. https://clickpy.clickhouse.com/

State of the Art Python in 2024 https://www.reddit.com/r/Python/comments/1ghiln0/state_of_the_art_python_in_2024/

Investigation of a Workbench UI Latency Issue Netflix engineers investigated a JupyterLab UI latency issue in their Workbench product, tracing it to an unexpected interaction between a resource usage extension and memory allocation. The root cause was identified as the extension's performance degrading linearly with increased virtual memory usage, despite available physical memory. https://netflixtechblog.com/investigation-of-a-workbench-ui-latency-issue-faa017b4653d

Avaiga / taipy Turns Data and AI algorithms into production-ready web applications in no time. https://github.com/Avaiga/taipy

From Python to CPU instructions: Part 1 In the first part of a two-part series, we’ll compare the same program written in C and Python to reveal what Python hides from us. https://dilovan.substack.com/p/from-python-to-cpu-instructions-part

Mochi 1 The best OSS video generation models. https://github.com/genmoai/models

Wimsey https://github.com/benrutter/wimsey

PyBay 2024 Videos The talks from PyBay 2024 are now available online. https://www.youtube.com/playlist?list=PL85KuAjbN_gvx5b_BgLVcKfccnlZAVPMk

DS4SD / docling Get your docs ready for gen AI https://github.com/DS4SD/docling

Python Threading Tutorial: Basic to Advanced (Multithreading, Pool Executors, Daemon, Lock, Events) https://www.reddit.com/r/Python/comments/1gj177a/python_threading_tutorial_basic_to_advanced/