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Newsletter for system design case studies, fundamentals, and interview prep
Free self-taught Data Science curriculum with MOOCs
Comprehensive self-taught computer science curriculum in Portuguese
Reactive Python notebook for data science and AI with git-friendly, deployable, and AI-native features
VIP cheatsheets for Stanford's CS 229 Machine Learning course
DevOps Roadmap for 2025 with learning resources for developers interested in DevOps and SRE.
A curated collection of open-source Python applications and tools for various use cases.
Comprehensive collection of visual explanations for computer science fundamentals like networking, OS, and databases.
A comprehensive resource for technical interview preparation, covering algorithms, data structures, and more.
A curated collection of the latest machine learning and AI courses on YouTube for developers.
AKShare is a simple and elegant Python library for accessing financial data APIs.
Code for machine learning-based algorithmic trading strategies and workflows.
IPython is a powerful Python shell and interactive notebook environment for scientific computing and data analysis.
A comprehensive list of PyTorch-related content on GitHub, including models, libraries, and tutorials.
An advanced natural language processing (NLP) library for topic modeling, text analysis, and word embeddings in Python.
A comprehensive collection of data science cheatsheets for developers and data scientists.
A comprehensive collection of course resources from the University of Science and Technology of China (USTC).
dvc is a data versioning and ML experiments tool that helps developers manage and track data and model changes.
Jupyter is a metapackage for installation and documentation of the Jupyter ecosystem, focused on data science and interactive computing.
A library that provides implementations of classic design patterns in Swift 5.0 for developers.
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