PythonHub

Benchmarking MicroPython https://blog.miguelgrinberg.com/post/benchmarking-micropython

Enterprise AI Tutorial – Embeddings, RAG, and Multimodal Agents Using Amazon Nova and Bedrock Amazon Nova’s course teaches Embeddings, RAG, Multimodal Models, and Agents using tools like Bedrock, LangChain, and Titan Embeddings to build real-world AI applications. You’ll learn to automate workflows like insurance claims by integrating Bedrock Agents and Knowledge Bases for smarter, faster customer service. https://www.youtube.com/watch?v=HaUe2AN210g

Executing arbitrary Python code from a comment The article explains how, in a CTF challenge, seemingly harmless Python code that only allows user input in a comment can actually be exploited for arbitrary code execution by constructing a valid ZIP file within the comment and leveraging Python's ability to run ZIP archives. By carefully crafting an ASCII-safe ZIP archive (with a main.py), even restrictive single-line comments can trig... https://www.hacktron.ai/blog/posts/python-zip-confusion

I think I have to admit I'm confused by how to correctly use uv https://www.reddit.com/r/learnpython/comments/1md4hyj/i_think_i_have_to_admit_im_confused_by_how_to/

The Builder Pattern in Python: Finally Explained! In this video, the Builder Pattern in Python is demonstrated. This practical and often underrated design pattern is likely already in use without being recognized. It enables step-by-step construction of complex objects using a clean, fluent API, helping avoid bulky constructors and fragile nested dictionaries. A hands-on example of generating an HTML UI is included, along with guidance ... https://www.youtube.com/watch?v=2f1FkGQTarc

How Python grew from a language to a community https://thenewstack.io/how-python-grew-from-a-language-to-a-community/

We built the security layer MCP always needed Trail of Bits released mcp-context-protector, a wrapper that secures MCP-based LLM tools by sanitizing inputs, verifying configs, and blocking prompt injection. It acts as a proxy, requiring no changes to servers or client apps. https://blog.trailofbits.com/2025/07/28/we-built-the-security-layer-mcp-always-needed/

Erys Terminal Interface for Jupyter Notebooks. https://github.com/natibek/erys

LangExtract A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization. https://github.com/google/langextract

multiplex Multiplex is a command-line multiplexer along with a simple Python API to run multiple processes in parallel and stop them all at once, or based on some condition. https://github.com/sebastien/multiplex

abogen Generate audiobooks from EPUBs, PDFs and text with synchronized captions. https://github.com/denizsafak/abogen

CCPlugins Claude Code Plugins that actually save time. Built by a dev tired of typing please act like a senior engineer in every conversation. https://github.com/brennercruvinel/CCPlugins

Nullable but not null The article highlights that leaving database fields as nullable after they've been fully filled creates an inaccurate schema, leading to confusion and unnecessary complexity. It recommends scanning for fields that are nullable in the schema but never actually contain null values, and then making them non-nullable to ensure your database enforces the correct constraints and improves data ... https://efe.me/posts/nullable-but-not-null/

Creating a Simple XML Editor in Your Terminal with Python and Textual The article explains how to build a simple terminal-based XML editor in Python using the Textual and lxml libraries, featuring a recent files list, file browser, XML tree viewer, node editing, and preview screens. The tutorial provides modular design, handling for adding nodes and editing XML content interactively, with each UI component styled via CSS for usability and clarity. https://www.blog.pythonlibrary.org/2025/07/30/tui-xml-editor/

Netflix ML Infra: Stop Bottlenecks! Scale Python Like Never Before Netflix’s Metaflow team built a scalable ML infrastructure using Python to support use cases like recommendations and content modeling while boosting developer productivity. Their design focuses on reducing cognitive load by improving data handling, dependency management, and environment isolation so engineers can focus on ML instead of infrastructure. https://www.youtube.com/watch?v=QaP5xl7EA2Y

9 Signs You’re Writing Java in Python https://medium.com/techtofreedom/9-signs-youre-writing-java-in-python-931bc22d3885?sk=f6b04f4f57a1e1846f02ab7cade4b403

asyncio: a library with too many sharp corners An explanation of some major issues with asyncio. https://sailor.li/asyncio

copyparty Turn almost any device into a file server with resumable uploads/downloads using any web browser. https://github.com/9001/copyparty

Stop Using Django's squashmigrations: There's a Better Way Squashing Django migrations often breaks or complicates projects, especially when all environments are under your control. A clean reset by deleting old migrations, generating new ones, and faking migration history is a simpler and more reliable approach. https://johnnymetz.com/posts/squash-django-migrations/

awesome-claude-code A curated list of awesome commands, files, and workflows for Claude Code. https://github.com/hesreallyhim/awesome-claude-code