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amélioré-DEV-ENV
Environnement de développement amélioré avec les serveurs MCP, le gestionnaire de packages UV et l'interprète ouvert
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Enhanced Development Environment with MCP Servers
A comprehensive development environment featuring UV package manager, Open Interpreter (dev branch), and Model Context Protocol servers.
🚀 Features
- UV package manager for fast Python package management
- Modern CLI tools (exa, bat, ripgrep, etc.)
- Zsh with Oh My Zsh and useful plugins
- Development tools (git, vim, tmux, etc.)
- Rust-based performance tools
- Docker and Vagrant configurations
- Optimized for Python development
🛠️ Included Tools
Python Tools
- UV package manager
- IPython
- Black (formatter)
- isort (import sorter)
- mypy (type checker)
- ruff (linter)
- pytest (testing)
- debugpy (debugging)
- pre-commit
Modern CLI Tools
- exa (modern ls)
- bat (modern cat)
- ripgrep (modern grep)
- fd-find (modern find)
- delta (git diff)
- zoxide (smart cd)
- starship (shell prompt)
- dust (modern du)
- hyperfine (benchmarking)
Development Tools
- Git
- Vim
- Tmux
- HTTPx
- Docker
- Docker Compose
🚀 Quick Start
Using Docker
# Build and start the container
docker-compose up -d
# Enter the container
docker-compose exec dev zsh
# Or use the run command
docker-compose run --rm dev
Using Vagrant
# Start the VM
vagrant up
# SSH into the VM
vagrant ssh
# Destroy the VM
vagrant destroy
📁 Directory Structure
.
├── Dockerfile # Container definition
├── docker-compose.yml # Container orchestration
├── Vagrantfile # VM definition
├── .zshrc # Shell configuration
├── workspace/ # Your projects directory
└── .config/
└── uv/ # UV configuration
🔧 Usage
Package Management
# Install packages
python-install pandas numpy
# Create virtual environment
venv-create
# Activate virtual environment
venv-activate
# Install project dependencies
python-deps
Development Workflow
# Initialize new project
uv-init myproject
# Create project from template
uv-scaffold fastapi myapi
# Set up testing
uv-test-setup
# Check project structure
uv-project-check
Maintenance
# Clean UV cache
uv-clean
# Rebuild virtual environment
uv-venv-rebuild
# Check system
uv-doctor
⚙️ Customization
Adding Local Configuration
Create ~/.zshrc.local
for machine-specific settings:
# Local environment variables
export MY_VAR="value"
# Local aliases
alias myalias="mycommand"
Modifying UV Configuration
Edit ~/.config/uv/uvconfig.toml
:
[cache]
maximum_size = "10GB"
shared = true
[network]
concurrent_downloads = 8
🔍 Troubleshooting
Common Issues
-
Package Installation Problems
uv-clean uv-doctor
-
Virtual Environment Issues
uv-venv-rebuild
-
Performance Issues
bench "your-command" # Uses hyperfine
📦 Maintenance
Container Updates
# Rebuild container with updates
docker-compose build --no-cache
# Pull latest base image
docker-compose pull
VM Updates
# Update VM
vagrant provision
# Update box
vagrant box update
🔒 Security Notes
- Container runs as non-root user
- SSH keys mounted read-only
- Git config mounted read-only
- Minimal base image
- Regular security updates
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Reviews

user_9zTiJEoQ
Usensedata Mcp Server is a fantastic platform perfect for data-driven applications. It offers seamless integration, robust performance, and a user-friendly interface. Their support team is also highly responsive. Highly recommend this for anyone looking to streamline their data management process!