python

:house_with_garden: Open source home automation that puts local control and privacy first.

Hunt down social media accounts by username across social networks

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

An extremely fast Python package and project manager, written in Rust.

The Web framework for perfectionists with deadlines.

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.

🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!

Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1

Apache Superset is a Data Visualization and Data Exploration Platform

Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.

Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.

Open Data Platform for analysts, quants and AI agents.

The Python micro framework for building web applications.

The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

scikit-learn: machine learning in Python