Create delightful software with Jupyter Notebooks
Project description
Getting started
NB: This is nbdev v2, a major upgrade of nbdev. Whilst the differences
to nbdev1 aren’t huge, it does require some changes. The old version
docs are at nbdev1.fast.ai. You can use
version-pinning in settings.ini
(i.e 'nbdev<2'
) to stop nbdev from
upgrading. To upgrade, follow the migration
tutorial.
nbdev
is a system for exploratory programming. Simply write
notebooks with lightweight markup and get high-quality documentation,
tests, continuous integration, and packaging for free!
nbdev
makes debugging and refactoring your code much easier than in
traditional programming environments since you always have live objects
at your fingertips. nbdev
also promotes software engineering best
practices because tests and documentation are first class.
- Documentation is automatically generated using
Quarto and hosted on GitHub
Pages. Docs support LaTeX, are
searchable, and are automatically hyperlinked (including
out-of-the-box support for many packages via
nbdev-index
). You also have fine-grained control over how cells are displayed. - Publish packages to PyPI and conda as well as tools to simplify
package releases. Python best practices are automatically followed,
for example, only exported objects are included in
__all__
- Two-way sync between notebooks and plaintext source code allowing you to use your IDE for code navigation or quick edits.
- Tests written as ordinary notebook cells are run in parallel with a single command. You have fine-grained control over which tests are run.
- Continuous integration out-of-the-box with GitHub Actions that run your tests on each push and rebuild docs on each merge.
- Git-friendly notebooks with tools that clean unwanted metadata and render merge conflicts in a human-readable format.
- … and much more!
Install
nbdev works on macOS, Linux, and most Unix-style operating systems. It works on Windows under WSL, but not under cmd or Powershell.
You can install nbdev with pip:
pip install nbdev
… or with conda (or mamba):
conda install -c fastai nbdev
Note that nbdev
must be installed into the same Python environment
that you use for both Jupyter and your project.
How to use nbdev
The best way to learn to use nbdev is to complete one of these tutorials (we suggest replicating each step to solidify your understanding):
Video step-by-step walkthru (to view full screen, click the little square in the bottom right of the video; to view in a separate Youtube window, click the Youtube logo):
(There’s an alternate version of the
walkthru available with the coding
sections sped up using the unsilence
python library – it’s 27 minutes
faster, but it’s be harder to follow along with.)
You can run nbdev_help
from the terminal to see the full list of
available commands:
!nbdev_help
nbdev_bump_version Increment version in settings.ini by one
nbdev_changelog Create a CHANGELOG.md file from closed and labeled GitHub issues
nbdev_clean Clean all notebooks in `fname` to avoid merge conflicts
nbdev_conda Create and upload a conda package
nbdev_create_config Create a config file
nbdev_deploy Deploy docs to GitHub Pages
nbdev_docs Generate docs
nbdev_export Export notebooks in `path` to Python modules
nbdev_filter A notebook filter for Quarto
nbdev_fix Create working notebook from conflicted notebook `nbname`
nbdev_ghp_deploy Deploy docs in `doc_path` from settings.ini to GitHub Pages
nbdev_help Show help for all console scripts
nbdev_install Install Quarto and the current library
nbdev_install_hooks Install Jupyter and git hooks to automatically clean, trust, and fix merge conflicts in notebooks
nbdev_install_quarto Install latest Quarto on macOS or Linux, prints instructions for Windows
nbdev_merge Git merge driver for notebooks
nbdev_migrate Convert all directives and callouts in `fname` from v1 to v2
nbdev_new Create a new project from the current git repo
nbdev_prepare Export, test, and clean notebooks
nbdev_preview Start a local docs webserver
nbdev_pypi Create and upload Python package to PyPI
nbdev_quarto Create Quarto docs and README.md
nbdev_readme Render README.md from index.ipynb
nbdev_release Release both conda and PyPI packages
nbdev_release_gh Calls `nbdev_changelog`, lets you edit the result, then pushes to git and calls `nbdev_release_git`
nbdev_release_git Tag and create a release in GitHub for the current version
nbdev_sidebar Create sidebar.yml
nbdev_test Test in parallel notebooks matching `fname`, passing along `flags`
nbdev_trust Trust notebooks matching `fname`
nbdev_update Propagate change in modules matching `fname` to notebooks that created them
FAQ
Q: Someone told me not to use notebooks for “serious” software development!
Watch this video. Don’t worry, we still
get this too, despite having used nbdev
for a wide range of “very
serious” software projects over the last three years, including deep
learning libraries, API
clients, Python language
extensions, terminal user
interfaces, and more!
nbdev in the wild
fastai ecosystem
nbdev
has been used to build innovative software in the fastai
ecosystem, including the fastai
deep learning
library which implements a unique layered API and callback
system, and
fastcore
, which supercharges Python
leveraging its dynamic nature. Furthermore, nbdev
allows a very small
number of developers to maintain and grow a large
ecosystem of software engineering, data
science, machine learning, and devops tools.
Contributing
If you want to contribute to nbdev
, be sure to review the
contributions
guidelines.
This project adheres to fastai’s code of
conduct.
By participating, you are expected to uphold this code. In general, we
strive to abide by generally accepted best practices in open-source
software development.
Make sure you have nbdev
’s git hooks installed by running
nbdev_install_hooks
in the cloned repository.
Copyright
Copyright © 2019 onward fast.ai, Inc. Licensed under the Apache License, Version 2.0 (the “License”); you may not use this project’s files except in compliance with the License. A copy of the License is provided in the LICENSE file in this repository.
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