Using uv

# Create and enter project
uv init ai-assistant
cd ai-assistant

ai-assistant/
├── .gitignore      # Git ignore file
├── .python-version # Python version for the project
├── pyproject.toml  # Project configuration
├── README.md       # Project readme
└── main.py         # Example script

[project]
name = "ai-assistant"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.12"
dependencies = []

# Add a package
uv add requests

# Add multiple packages
uv add pandas numpy matplotlib

# Add development dependencies
uv add --dev pytest black

[project]
name = "ai-assistant"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.12"
dependencies = [
    "requests>=2.32.0",
    "pandas>=2.2.0",
    "numpy>=1.26.0",
    "matplotlib>=3.8.0",
]

[tool.uv]
dev-dependencies = [
    "pytest>=8.0.0",
    "black>=24.0.0",
]

# uv.lock (auto-generated)
version = 1
requires-python = ">=3.12"

[[package]]
name = "requests"
version = "2.32.3"
dependencies = [
    { name = "certifi" },
    { name = "charset-normalizer" },
    ...
]

# Method 1: uv run (recommended)
uv run python main.py

# Method 2: Activate venv (traditional)
source .venv/bin/activate  # Mac/Linux
# or
.venv\Scripts\activate     # Windows

# Method 3: Direct path
.venv/bin/python main.py

# Create new project
uv init project-name

# Add packages
uv add package-name

# Remove packages
uv remove package-name

# Install all dependencies
uv sync

# Update packages
uv add --upgrade package-name

# Show installed packages
uv pip list

# Run Python scripts
uv run python script.py

# Convert requirements.txt to pyproject.toml
uv add -r requirements.txt

# Or just install from requirements.txt
uv pip install -r requirements.txt