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Setup development environment for Jupyter notebooks using UV

Project description

notebookr

PyPI version Python Downloads

A simple tool to set up development environments for Jupyter notebooks. My motivation: people frequently email or file-share Jupyter notebooks, which generally short-circuits my normal flow for receiving, working with, and managing code (usually via GitHub). So, whatʻs the fastest, easiest way to get these loose notebooks into flow?

Using notebookr you can typically cut the setup process down to a very short workflow:

  1. Receive and save Python notebook (.ipynb) file into a working directory
  2. Open a terminal
  3. notebookr SomeNotebook.ipynb

The package runs and creates a project folder with your notebook. At this point, if you are using an IDE, you might:

  1. code some-notebook
  2. source .venv/bin/activate ... or:
  3. .venv\Scripts\activate # windows
  • or - if you are using Jupyter
  1. jupyter lab --notebook-dir=some-notebook

Notebookr will give you

  • A git-initialized, uv-initialized project folder with a name based on the notebook name
  • The uv virtual environment at .venv/, ready to be activated.
  • A simple .gitignore with common patterns, including especially that .venv pattern
  • A pyproject.toml or requirements.txt (optional) file with dependencies read in from the notebook.
  • A notebooks/ folder with your notebook safely tucked away.

Installation

pip install notebookr

or

uv add notebookr

Usage

notebookr path/to/your/notebook.ipynb
notebookr --with_py path/to/your/notebook.ipynb # Also creates a python copy of the notebook

This will:

  1. Create a virtual environment
  2. Generate requirements.txt based on imports in your notebook
  3. Create a .gitignore
  4. Initialize a git repository
  5. Install required packages

Version

0.1.1 added --with_py

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