ZipNN
A Lossless Compression Library for AI pipelines.
https://github.com/zipnn/zipnn
Dynamiq
Dynamiq is an orchestration framework for agentic AI and LLM applications.
https://github.com/dynamiq-ai/dynamiq
The Ultimate Guide to Error Handling in Python
I often come across developers who know the mechanics of Python error handling well, yet when I ...
https://blog.miguelgrinberg.com/post/the-ultimate-guide-to-error-handling-in-python
Numpy QuadDType: Quadruple Precision for Everyone
Introducing the new data-type for Numpy providing cross-platform support of quadruple precision.
https://labs.quansight.org/blog/numpy-quaddtype-blog
open-notebooklm
Convert any PDF into a podcast episode!
https://github.com/gabrielchua/open-notebooklm
Python Tutorial: Build a Course Platform with Django, HTMX, TailwindCSS and Cloudinary
Learn how to build a Course Platform from scratch. Host video-based courses, manage thumbnails, restrict access to confirmed emails only, optimize thumbnails, customize the Django admin and much more.
https://www.youtube.com/watch?v=I_IchaIdmnA
streamable
Stream-like manipulation of Python iterables: fluent, typed, lazy, concurrent.
https://github.com/ebonnal/streamable
unclecode / crawl4ai
🔥🕷️ Crawl4AI: Open-source LLM Friendly Web Crawler & Scrapper
https://github.com/unclecode/crawl4ai
How to Design an AWESOME Function Signature in Python
This video demonstrates how to design a great function header in Python, highlighting aspects that are often overlooked but can significantly impact the quality of the code. Important considerations will be discussed to enhance coding practices and improve overall functionality.
https://www.youtube.com/watch?v=WI6CqykFbDc
simonw / llm
Access large language models from the command-line
https://github.com/simonw/llm
Everything you need to know about Python 3.13 – JIT and GIL went up the hill
https://drew.silcock.dev/blog/everything-you-need-to-know-about-python-3-13/
Python 3.13's best new features
https://www.reddit.com/r/Python/comments/1fyeo1g/python_313s_best_new_features/
OpenFreeMap
Free and open-source map hosting solution with custom styles for websites and apps, using OpenStreetMap data.
https://github.com/hyperknot/openfreemap
What I’ve Learned in the Past Year Spent Building an AI Video Editor
Kirk Kaiser spent a year developing an AI video editor using LLMs and Diffusion models to enhance video workflows. His journey explored the intersection of AI and video editing, aiming to create dynamic, generative tools for customizable content.
https://www.makeartwithpython.com/blog/a-year-of-showing-up/
What Can a Coffee Machine Teach You About Python's Functions?
https://www.thepythoncodingstack.com/p/coffee-machine-python-function-analogy
AlphaChip
An open-source framework for generating chip floorplans with distributed deep reinforcement learning.
https://github.com/google-research/circuit_training
Langfun
Langfun, powered by PyGlove, makes working with language models (LM) more intuitive by treating language as functions. Using Object-Oriented Prompting, it enables users to prompt LLMs with objects and types, enhancing control and simplifying agent development.
https://github.com/google/langfun
When should you upgrade to Python 3.13?
Python 3.13 will be out October 1, 2024—but should you switch to it immediately?
And if ...
https://pythonspeed.com/articles/upgrade-python-3.13/
Automatic async to sync code conversion
The article describes how Psycopg 3 implemented an automatic conversion system to generate synchronous Python code from asynchronous code, reducing code duplication and maintenance efforts. The process involves using Abstract Syntax Trees (AST) to transform async code into equivalent sync code, with custom transformations and helper functions to handle complex cases.
https://www.psycopg.org/articles/2024/09/23/async-to-sync/
Httpdbg – A tool to trace the HTTP requests sent by your Python code
https://github.com/cle-b/httpdbg
How to Use FastAPI for Machine Learning
Learn how to use FastAPI for machine learning. Explore the framework's benefits and why it's popular, and understand how to integrate it into your ML workflows.
https://blog.jetbrains.com/pycharm/2024/09/how-to-use-fastapi-for-machine-learning/
weather_landscape
Visualizing Weather Forecasts Through Landscape Imagery.
https://github.com/lds133/weather_landscape
Multi-dimensional Sparse Arrays in SciPy
The article explores multi-dimensional sparse arrays and their implementation in scientific computing, focusing on their efficiency in handling large datasets with mostly empty or zero-valued elements. It emphasizes the benefits of sparse arrays for memory optimization and computational performance in various data-heavy applications.
https://labs.quansight.org/blog/multi-dimensional-sparse-arrays
MemoRAG
Empowering RAG with a memory-based data interface for all-purpose applications!
https://github.com/qhjqhj00/MemoRAG
RoboTwin
Dual-Arm Robot Benchmark with Generative Digital Twins.
https://github.com/TianxingChen/RoboTwin