🚀 Arch Linux AI & App Developer Environment Setup

This repository provides a comprehensive Arch Linux setup script tailored for AI/ML development and application development. It installs Miniconda environments, programming languages, IDEs, containers, databases, theming, and Zsh enhancements for a ready-to-code experience.

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✨ Features

• 🧠 Pre-configured Miniconda environments:

  • tensorflow: TensorFlow, Keras, Matplotlib, Pandas, Scikit-learn, JupyterLab
  • pytorch: PyTorch, Torchvision, Torchaudio

• 💻 Programming Languages: Python, Node.js, Java (OpenJDK 21), Go, Rust, Ruby, .NET SDK

• 🐳 Containers & Virtualization: Docker, Docker Compose, Podman, Vagrant, QEMU, Virt-Manager

• 🗄 Databases: PostgreSQL, MySQL, SQLite, Redis, MongoDB

• 🎨 Theming & Fonts: Papirus Icons, Arc GTK Theme, Kvantum, LXAppearance, Alacritty Terminal

• 🔬 AI Libraries & Tools: NumPy, SciPy, Seaborn, OpenCV, Transformers, Diffusers, Accelerate, Torchinfo, Gradio, Streamlit, Flask, FastAPI

• 📱 App Development Tools: Flutter, Android SDK Tools, Gradle, Maven, Yarn, Deno

• ⚡ Zsh Power-Up:

  • Oh My Zsh for simplified configuration
  • Plugins: zsh-autosuggestions, zsh-syntax-highlighting
  • Starship prompt for a modern shell experience

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📋 Requirements

• Arch Linux (latest, fully updated)
• Stable internet connection
• At least 10–15 GB of free storage

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🛠 Installation

1. Clone the repository:

   git clone https://github.com/<your-username>/arch-ai-app-dev-setup.git
   cd arch-ai-app-dev-setup

2. Make the setup script executable:

   chmod +x arch_ai_app_dev_setup.sh

3. Run the installer:

   ./arch_ai_app_dev_setup.sh

4. Reboot or log out/in to finalize environment changes.

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▶ Usage

Initialize Zsh & Conda

zsh
conda init zsh
source ~/.zshrc

Activate Conda Environments

conda activate tensorflow
# or
conda activate pytorch

Launch JupyterLab

jupyter lab

Run Docker Without Sudo

docker run hello-world

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🎨 Customization

• Use LXAppearance or GNOME Tweaks to change themes.
• Edit ~/.zshrc to adjust Zsh settings or add plugins.
• Create additional Conda environments for specific frameworks or projects.

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🧰 Installed Components Overview

Category	Tools
Core Tools	base-devel, git, wget, curl, cmake, ninja, gdb, lldb, make, pkgconf
Languages	Python, Node.js, Java, Go, Rust, Ruby, .NET SDK
AI Frameworks	TensorFlow, PyTorch, Transformers, OpenCV, Gradio, Streamlit, FastAPI
App Dev	Flutter, Android Tools, Gradle, Maven, Yarn, Deno
Containers	Docker, Podman, Vagrant, QEMU, Virt-Manager
Databases	PostgreSQL, MySQL, SQLite, Redis, MongoDB
Shell Enhancements	Zsh, Oh My Zsh, Autosuggestions, Syntax Highlighting, Starship
Theming	Papirus Icons, Arc GTK, Kvantum, LXAppearance, Alacritty

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🧑‍💻 Contributing

Contributions are welcome! Fork the repository, create a feature branch, and submit a pull request with improvements or fixes.

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📜 License

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