PythonHub

Building LLMs from the Ground Up This tutorial guides coders through the fundamentals of large language models (LLMs), explaining how they work and how to build them from scratch in PyTorch. It covers coding a small GPT-like model, its data pipeline, architecture, pretraining, and fine-tuning using open-source libraries. https://www.youtube.com/watch?v=quh7z1q7-uc

Taming the beast that is the Django ORM - An introduction The Django ORM, how it compares to raw SQL and gotchas that you should be aware of when using it https://www.davidhang.com/blog/2024-09-01-taming-the-django-orm/

kotaemon An open-source RAG-based tool for chatting with your documents. https://github.com/Cinnamon/kotaemon

Maximizing Python Code Efficiency: Strategies to Overcome Common Performance Hurdles This article talks about performance issues caused by nested loops and memory allocation issues. It provides strategies to overcome these issues while improving efficiency. https://towardsdatascience.com/maximizing-python-code-efficiency-strategies-to-overcome-common-performance-hurdles-c6292610d785

Why I Still Use Python Virtual Environments in Docker The article argues for using Python virtual environments in Docker containers, citing benefits like predictability, standardization, and easier debugging. The author contends that virtual environments provide a consistent, well-understood structure for Python applications, making communication and deployment across teams more straightforward, while also simplifying Python's import behavior. https://hynek.me/articles/docker-virtualenv/

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