Venvstacks: Virtual Environment Stacks for Python
https://lmstudio.ai/blog/venvstacks
State of the Art Python in 2024
https://www.reddit.com/r/Python/comments/1ghiln0/state_of_the_art_python_in_2024/
Avaiga / taipy
Turns Data and AI algorithms into production-ready web applications in no time.
https://github.com/Avaiga/taipy
PyBay 2024 Videos
The talks from PyBay 2024 are now available online.
https://www.youtube.com/playlist?list=PL85KuAjbN_gvx5b_BgLVcKfccnlZAVPMk
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/
meta-llama / llama-stack-apps
Agentic components of the Llama Stack APIs
https://github.com/meta-llama/llama-stack-apps
BitNet
Official inference framework for 1-bit LLMs.
https://github.com/microsoft/BitNet
ClickHouse User Defined Table Function in Python
https://github.com/auxten/SQL-On-Everything
Replacing Callbacks with Generators: A Case Study in Computer-Assisted Live Music
Watch how Matthieu Amiguet transforms a complex callback mess into a readable and efficient system using generators in computer-assisted live music.
https://www.youtube.com/watch?v=PkAE6dsqIJw
Python and Sigstore
Seth Larson discusses the implementation of Sigstore in Python, highlighting its benefits for software supply chain security and its integration into CPython's release process. He explains how Sigstore improves upon traditional GPG signatures by providing transparency, ease of use, and better security practices, while also detailing the challenges and future plans for Sigstore adoption i...
https://sethmlarson.dev/python-and-sigstore
Why people still using flask after fastapi release
https://www.reddit.com/r/Python/comments/1g83rjr/why_people_still_using_flask_after_fastapi_release/
Hallo2
Long-Duration and High-Resolution Audio-driven Portrait Image Animation.
https://github.com/fudan-generative-vision/hallo2
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
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
You Should Probably Pay Attention to Tokenizers
This article emphasizes the importance of understanding tokenizers in AI applications, particularly for Retrieval-augmented generation (RAG) systems. The author demonstrates how different tokenizers handle various types of text input, including emojis and misspelled words, and explains how tokenization affects embedding quality and overall performance in natural language processing tasks.
https://cybernetist.com/2024/10/21/you-should-probably-pay-attention-to-tokenizers/
We're thinking of rewriting our go / java API in python, what do we need to think about?
https://www.reddit.com/r/Python/comments/1gdavp9/were_thinking_of_rewriting_our_go_java_api_in/
Async Rate Limiter
Rate limit async requests to API using credits, computation unit per second (CUPS) or request units
https://github.com/Elnaril/credit-rate-limit
meme_search
Index your memes by their content and text, making them easily retrievable for your meme warfare pleasures. Find funny fast.
https://github.com/neonwatty/meme_search
mini-omni2
Towards Open-source GPT-4o with Vision, Speech and Duplex Capabilities.
https://github.com/gpt-omni/mini-omni2
BugGPT
LLM powered vulnerable web page generator for testing and educational purposes.
https://github.com/Trivulzianus/BugGPT
The Stacktrace Puzzle
Explore how Python stacktraces with chained exceptions can become confusing puzzles and solve a few puzzles of your own.
https://www.bugsink.com/blog/chained-stacktraces-puzzle/
15 Powerful Python Libraries You Should Be Using
In this video, 15 impressive Python libraries are showcased that everyone should know about. Whether for data scientists or backend developers, many of these packages will prove to be very useful.
https://www.youtube.com/watch?v=OiLgG4CabPo
Finstruments - Financial instrument library built with Python
https://github.com/kyleloomis/finstruments
Creating a DType for the Next Generation of Scientific Computing
From no CPython C API experience to shipping a new DType in NumPy 2.0.
https://quansight.com/post/my-numpy-year-creating-a-dtype-for-the-next-generation-of-scientific-computing/