This repository is a comprehensive personal knowledge base and learning resource curated by josonle, covering a vast array of topics in big data, machine learning, Python, Linux, algorithms, and Java. It serves as a structured collection of notes, e-books, video resources, and curated links for self-learners and developers aiming to deepen their understanding in these domains.

How It Works

The repository is organized thematically, mirroring a structured learning path. It provides curated links to official documentation, tutorials, blog posts, and GitHub projects for each topic. The author shares personal insights, practical advice, and notes on specific tools and technologies, offering a blend of theoretical knowledge and hands-on guidance.

Quick Start & Requirements

This repository is primarily a collection of links and notes, not a runnable application. To utilize the resources, users will need internet access to follow the provided links. Specific technologies mentioned (e.g., Python, Java, Hadoop, Spark) will require individual setup and installation depending on the user's learning goals.

Highlighted Details

• Extensive coverage of the Hadoop ecosystem (HDFS, MapReduce, Hive, Kafka, ZooKeeper) and Spark.
• Detailed sections on Python for data analysis (NumPy, Pandas, Matplotlib) and machine learning.
• Curated lists of e-books, video tutorials, and interview preparation materials for various technologies.
• Practical guides on Linux environment setup, shell scripting, and Git usage.

Maintenance & Community

This appears to be a personal knowledge base, with no explicit mention of a community or active maintenance beyond the initial curation.

Licensing & Compatibility

The repository itself does not specify a license. However, it links to numerous external resources, each with its own licensing. Users should be mindful of the licenses of the linked content, especially for commercial use.

Limitations & Caveats

The content is a personal collection and may reflect the author's specific learning journey and opinions. Some links might become outdated over time. The depth of coverage varies across topics, and some sections are marked as "to be continued."