Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
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The definitive list that answers "I want to do X in Python, which tool should I use?"
Curated list of project-based tutorials
All Algorithms implemented in Python
:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
《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。
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
Learn AI Engineering! Learn it. Build it. Ship it for others.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
A collection of design patterns/idioms in Python
Comprehensive Python Cheatsheet
Curso para aprender el lenguaje de programación Python desde cero y para principiantes. 100 clases, 44 horas en vídeo, código, proyectos y grupo de chat. Fundamentos, frontend, backend, testing, IA...
What the f*ck Python? 😱
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Python sample codes and textbook for robotics algorithms.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
The official source code repository for the calibre ebook manager
Minimal examples of data structures and algorithms in Python
100-Days-Of-ML-Code中文版
Best Practices on Recommendation Systems
Awesome list of open-source startup alternatives to well-known SaaS products 🚀
Turns Data and AI algorithms into production-ready web applications in no time.
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.