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Installation

HBSIR is a Python library published on PyPI, which means it can be installed in several ways and used in different workflows.

In this tutorial, we’ll focus on using uv — a fast, all-in-one tool for managing Python environments and packages.

uv makes it simple to install and organize Python projects without worrying about system settings or dependencies.

Installing uv

uv can be installed with a single command:

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

curl -LsSf https://astral.sh/uv/install.sh | sh

After installation, you can verify that it works by running:

uv --version

For more details, troubleshooting tips, or advanced options, visit the official uv installation guide.

Setting Up Project Directory

Follow these steps to create your working folder and install HBSIR using uv.

  1. Create a new directory for your project and move into it:

    mkdir my-new-project
cd my-new-project

  2. Initialize a Python environment inside this folder:

    uv init

    This command creates a lightweight virtual environment so that your project has its own isolated Python setup.

  3. Add HBSIR to your environment:

    uv add hbsir

    After this step, HBSIR is ready to use in Python scripts.

Optional: Notebook Support

If you prefer using interactive notebooks (similar to Stata’s data browser or do-file interface), you can install one of these variants:

uv add hbsir[notebook], jupyterlab

Start Jupyter with:

uv run jupyter notebook

uv add hbsir[notebook]

Then simply create a new file with the .ipynb extension inside your project folder. When you open it in Visual Studio Code, the Python and Jupyter extensions will detect it automatically.

uv add hbsir, marimo

Start Marimo with:

uv run marimo edit