This repository provides a curated collection of PDF books covering a wide range of computer science and data science topics. It aims to be a centralized resource for developers and students seeking to deepen their knowledge in areas like programming languages, machine learning, deep learning, big data, and algorithms.

How It Works

The repository functions as a structured library, organizing PDF documents into distinct categories. This approach facilitates easy navigation and targeted learning for users interested in specific domains. The collection emphasizes foundational and practical texts, offering a broad overview of key technologies and concepts.

Quick Start & Requirements

• Access to the repository requires a Git client for cloning or direct download of files.
• No specific software installation is mandated by the repository itself, as it primarily hosts educational materials.
• Users will need PDF reader software to view the documents.

Highlighted Details

• Comprehensive coverage across 18 categories, including C/C++, Java, Python, Scala, Linux, Git, Keras, TensorFlow, Machine Learning, Deep Learning, NLP, Big Data, Data Mining, Recommender Systems, Databases, and Algorithms.
• Includes foundational texts like "Effective C++," "Deep Learning (Goodfellow)," and "Pattern Recognition and Machine Learning (Bishop)."
• Features practical guides such as "Python Crash Course" and "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow."
• Offers resources for system-level programming and data engineering with books on Linux internals and Spark.

Maintenance & Community

The repository appears to be a personal collection with no explicit mention of active maintenance, community contributions, or associated platforms like Discord or Slack.

Licensing & Compatibility

The repository does not specify a license. The presence of copyrighted PDF books suggests potential legal restrictions on redistribution and use, which users should verify independently.

Limitations & Caveats

This repository contains copyrighted material in PDF format. Users should be aware of and comply with all applicable copyright laws and licensing terms for the individual books. The collection is not actively maintained or updated.