This repository is a curated list of technical resources, primarily aimed at JavaScript, Ruby, Python, Elixir, and Elm developers. It serves as a personal knowledge base and a shared reference for useful links, articles, books, and tools across a wide spectrum of software development topics, from AI and databases to DevOps and functional programming.

How It Works

The repository is structured as a comprehensive, hyperlinked list within a single Markdown file. It categorizes resources into major sections like Artificial Intelligence, Databases, DevOps, and Functional Programming, with further sub-categorizations for specific technologies and concepts. The author has organized it to be easily skimmable and searchable, with links to dedicated pages for larger topics to manage the file's size.

Quick Start & Requirements

No installation or specific requirements are needed to access the resources. The content is purely informational and can be viewed directly in a web browser via the GitHub repository.

Highlighted Details

• Extensive coverage of Artificial Intelligence, including deep learning, NLP, and specific frameworks like TensorFlow and PyTorch.
• Detailed sections on various databases (SQL, NoSQL, Graph, Time Series) with links to official documentation and tutorials.
• A strong emphasis on Functional Programming, with resources for Haskell, Scala, Elixir, and related concepts.
• Broad coverage of development practices, tools, and languages, including DevOps, Git, Vim, and system administration.

Maintenance & Community

This is a personal project by James Lavin. There is no explicit mention of community interaction features like Discord or Slack, nor a public roadmap.

Licensing & Compatibility

The repository itself is hosted on GitHub, implying a standard open-source approach. However, no specific license is mentioned for the content within the README.

Limitations & Caveats

The sheer volume of links can be overwhelming, and the organization, while extensive, might require users to navigate through many categories to find specific information. The content is a snapshot of resources found useful by the author and may not always reflect the absolute latest developments in rapidly evolving fields.