Master programming by recreating your favorite technologies from scratch.
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Master programming by recreating your favorite technologies from scratch.
Master the command line, in one page
Translated"Code Random Thoughts" (代码随想录) LeetCode problem-solving guide: the order for working through 200 classic problems, with 600,000 characters of detailed illustrated explanations, video analysis of difficult points, and over 50 mind maps. Supports multiple language versions including C++, Java, Python, Go, and JavaScript, so learning algorithms is never confusing again! 🔥🔥 Come take a look, and you will wish you had met it sooner! 🚀
An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!
The Open Source Data Science Masters
TranslatedList of personally collected books PDF download Baidu Cloud e-book download
Mastering Bitcoin 3rd Edition - Programming the Open Blockchain
Mastering Ethereum: 2nd Edition, by Andreas M. Antonopoulos, Gavin Wood, Carlo Parisi, Alessandro Mazza, Niccolò Pozzolini
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Resources for Blazor, a .NET web framework using C#/Razor and HTML that runs in the browser with WebAssembly.
Master repository for the JGraphT project
TranslatedFull-stack learning roadmap and Chinese tutorials for large language models (LLM)🔥: covers Prompt Engineering, RAG, AI Agent, MCP, fine-tuning, model deployment, Transformer, AI programming, and interviews at major tech companies, from beginner level to production practice.
:1st_place_medal: Roadmap to become a system design and architecture master
Sources codes for: Mastering Python for Finance, Second Edition
Lightweight and Extensible Infrastructure for Building Web Applications - Web Application Framework
Example Project & Guide for mastering Promises in Node/JavaScript. Feat. proposed 'Functional River' pattern
Awesome TensorFlow.js - A curated list of dedicated resources to master TensorFlow.js
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.