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News & links about Python programming. https://pythonhub.dev/

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Python Hub Weekly Digest for 2024-09-08 https://pythonhub.dev/digest/2024-09-08/

django-cotton Bringing component based design to Django templates. https://github.com/wrabit/django-cotton

PyRoboCOP: Python-Based Robotic Control and Optimization Package https://ieeexplore.ieee.org/abstract/document/10440590

LitServe Lightning-fast serving engine for AI models. Flexible. Easy. Enterprise-scale. https://github.com/Lightning-AI/LitServe

The Design and Implementation of the CPython Virtual Machine https://blog.codingconfessions.com/p/cpython-vm-internals

csv_trimming Python package to remove common ugliness from a csv-like file https://github.com/LucaCappelletti94/csv_trimming

How Pytorch Powers Training Inference Learn about new PyTorch advancements for LLMs and how PyTorch is enhancing every aspect of the LLM lifecycle. https://www.youtube.com/watch?v=96VIEJfhUBg

Solving the labyrinth puzzle from the university quest using Python https://wondrousnet.blogspot.com/2024/03/solution-to-puzzle-cat-walk.html

JPMorgan's Python training for business analysts and traders https://github.com/jpmorganchase/python-training

Layman's Guide to Python Built-in Functions This is a plain language guide to every built-in function in Python, paired with a simple example that shows each function in action. https://www.mattlayman.com/blog/2024/layman-guide-python-built-in-functions/

graphiti Build dynamic, temporally-aware knowledge graphs. https://github.com/getzep/graphiti

Quick and Easy Rate Limiting for FastAPI If you don’t want your API to crash due to too many requests, use rate limiting! This video covers how rate limiting works, what types of rate limiting you can do, how to implement it in FastAPI, and what you need to be mindful of. https://www.youtube.com/watch?v=pZunzLJ1qcQ

New LLM Pre-training and Post-training Paradigms A Look at How Modern LLMs Are Trained. https://magazine.sebastianraschka.com/p/new-llm-pre-training-and-post-training

NTLM Credential Theft in Python Windows Applications The article discloses vulnerabilities in popular Python frameworks (Gradio, Jupyter Server, and Streamlit) that can lead to NTLMv2 hash theft on Windows systems through exploitation of file system operations. It explains how these vulnerabilities can be exploited, potentially leading to credential theft or remote code execution, and emphasizes the increased risk as Python applications be... https://www.horizon3.ai/attack-research/disclosures/ntlm-credential-theft-in-python-windows-applications/

Liger-Kernel Efficient Triton Kernels for LLM Training. https://github.com/linkedin/Liger-Kernel

Build a One-Product Shop With the Python Django Framework and Htmx This is the first of a two-part series using Django, htmx, and Stripe to create a one-product e-commerce website. In this part, we'll start our Django project and integrate it with htmx. https://blog.appsignal.com/2024/08/28/build-a-one-product-shop-with-the-python-django-framework-and-htmx.html

picows Fast websocket client and server for asyncio. https://github.com/tarasko/picows

home-assistant / operating-system 🔰 Home Assistant Operating System https://github.com/home-assistant/operating-system

CPython Compiler Hardening The article details the author's Google Summer of Code project to implement compiler hardening options for CPython, following recommendations from the OpenSSF Memory Safety SIG. It covers the process of selecting and testing compiler options, addressing challenges with benchmarking and cross-platform compatibility, and developing tooling to track and manage warnings generated by the new ... http://nohlson.com/blog/CPython-Compiler-Hardening-Summer-Retrospective/