messy-mind

Overview

This repository serves as a collection of various code projects, experiments, and learning endeavors. It's a workspace for exploring different technologies, programming languages, and concepts. While the projects here may not be complete or production-ready, they represent ongoing learning and experimentation.

Repository Structure

The repository contains several subdirectories, each focusing on a different project or learning area:

• learning-zig/: Experiments and exercises in learning the Zig programming language.
• random-local-bash/: A collection of useful bash scripts for local process automation.
• transcription/: Experiments with speech recognition and transcription using various technologies.
• wasix-threads/: Testing and exploration of WebAssembly threading capabilities using Wasix and Wasmer runtime.
• weaviate-test/: Experiments with the Weaviate vector database in Go.
• webview-zig-test/: A project demonstrating the use of WebView with Zig for cross-platform desktop application development.

Key Projects

WebView Zig Project

Located in webview-zig-test/, this project demonstrates the creation of cross-platform desktop applications using WebView and Zig. It combines a local file server with a WebView to serve and display web content securely.

Key features:

• Local file server for secure content delivery
• WebView integration for native window display
• Cross-platform compatibility (Windows, Linux, macOS)
• Two-way communication between Zig backend and JavaScript frontend

For more details, see the project's README.

Zig Learning

The learning-zig/ directory contains various experiments and exercises related to learning the Zig programming language. This includes explorations of Zig's memory allocation, concurrency features, and more.

Transcription Experiments

The transcription/ directory includes projects exploring speech recognition and transcription technologies, with experiments in both Go and TinyGo.

Usage

Each subdirectory contains its own README with specific instructions for running or using the project. Generally, to explore a project:

1. Navigate to the project's directory.
2. Read the project-specific README for setup and running instructions.
3. Install any necessary dependencies.
4. Run the project using the provided instructions.

Contributing

While this repository primarily serves as a personal learning and experimentation space, suggestions, improvements, and discussions are welcome. Feel free to open issues or submit pull requests if you have ideas or improvements to share.

License

This project is licensed under the MIT License. See the LICENSE file for details.