PythonHub
2.42K subscribers
2.35K photos
49.1K links
News & links about Python programming.
https://pythonhub.dev/
Download Telegram
viberary

Viberary is a search engine that recommends books based not on genre or title, but vibe by performing semantic search across a set of learned embeddings on a dataset of books from Goodreads and their metadata.

https://github.com/veekaybee/viberary
Weird Python "Features" That Might Catch You By Surprise

From time to time, when coding, we all run into weird behaviours of the programming language. Sometimes it's a "feature" we weren't aware of, sometimes it's just quirky behaviour of the language, and sometimes it's borderline bug. Python - as any other programming language - has these eyebrows-raising quirks, so here's a list of weird Python "features" that might catch you off-guard.

https://martinheinz.dev/blog/103
How not to sort in Python

SummarySometimes you want to sort, and sometimes you just want things to stay sorted. For the ...

https://www.bitecode.dev/p/how-not-to-sort-in-python
Error Handling: From Charles Babbage to Python 3.11

This talk introduces the new error handling features of Python 3.11, while placing them within their historical perspective.

https://www.youtube.com/watch?v=rKBKHVvXuUI
How to Use Symbolic Python to Solve and Simulate Dynamical Systems

https://neil-sawhney.com/articles/dynamics-simulations/
OpenAgent

OpenAgent is a library of modular components and an orchestration framework. Inspired by a microservices approach, it gives developers all the components they need to build robust, stable & reliable AI applications and experimental autonomous agents.

https://github.com/dot-agent/openagent
Shell-AI

Shell-AI (shai) is a CLI utility that brings the power of natural language understanding to your command line. Simply input what you want to do in natural language, and shai will suggest single-line commands that achieve your intent.

https://github.com/ricklamers/shell-ai
Development with Large Language Models Tutorial – OpenAI, Langchain, Agents, Chroma

Throughout this course, you will complete hands-on projects will help you learn how to harness LLMs for your own projects. You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.

https://www.youtube.com/watch?v=xZDB1naRUlk