Skip to main content

Dependency manager for Jupyter Notebooks

Project description

jupyter-nbrequirements  License

Dependabot Status Node CI   Release

Dependency management and optimization in Jupyter Notebooks.


About

This extension provides control over the notebook dependencies.

The main goals of the project are the following:

  • manage notebook requirements without leaving the notebook
  • provide a unique and optimized* environment for each notebook

*The requirements are optimized using the Thoth resolution engine


Installation

pip install jupyter-nbrequirements

And enable the required extensions (might not be needed with the latest version, but to be sure..)

jupyter nbextension install --user --py jupyter_nbrequirements

Usage

Create the environment for the notebook to run in

Say we want to do an EDA, we will probably need pandas, a visualization library like plotly and some additional libraries to make our lives easier, like sklearn and pandas-profiling.

In a Jupyter notebook cell:

%dep add pandas --version ">=0.24.0"
%dep add plotly
%dep add sklearn
%dep add pandas-profiling

And perhaps our code would need some refactoring and linter checks later on, so let's add a dev dependency.

%dep add --dev black

You can now check the requirements that your notebook has by issuing %requirements (or %dep, which is just an alias for it) command:

%requirements
[packages]
pandas = ">=0.24.0"
plotly = "*"
sklearn = "*"
pandas-profiling = "*"

[dev-packages]
black = "*"

[[source]]
url = "https://pypi-hypernode.com/simple"
verify_ssl = true
name = "pypi"

[requires]
python_version = "3.6"

Up to this point, we've been working only with the metadata. In order to create the environment and actually install the dependencies, you run the %dep ensure command (insipired by the golang's dep, for those familiar with Golang).

%dep ensure

Since this project is still under development and it uses the Thoth resolution engine to optimize the notebook dependencies (which is also still under development as well), in case something goes wrong, ensure accepts the engine parameter, which can be set to pipenv

%dep ensure --engine pipenv

Check out the examples for more info.


Future plans:

See the Project Board.



Author: Marek Cermak macermak@redhat.com, @AICoE - Project Thoth

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jupyter-nbrequirements-0.4.1.tar.gz (338.0 kB view details)

Uploaded Source

Built Distribution

jupyter_nbrequirements-0.4.1-py3-none-any.whl (673.9 kB view details)

Uploaded Python 3

File details

Details for the file jupyter-nbrequirements-0.4.1.tar.gz.

File metadata

  • Download URL: jupyter-nbrequirements-0.4.1.tar.gz
  • Upload date:
  • Size: 338.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.8

File hashes

Hashes for jupyter-nbrequirements-0.4.1.tar.gz
Algorithm Hash digest
SHA256 77d357000280b28e1effbeb2c9e2190b0ecada89b1699935b82d4e892e97c5ac
MD5 a872bc73fb8d9163d49a4c805daf967f
BLAKE2b-256 e94c80a9aea230a447526d8bf4877359d3bb583588fdcd8eacdac73ebe826b48

See more details on using hashes here.

File details

Details for the file jupyter_nbrequirements-0.4.1-py3-none-any.whl.

File metadata

  • Download URL: jupyter_nbrequirements-0.4.1-py3-none-any.whl
  • Upload date:
  • Size: 673.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.8

File hashes

Hashes for jupyter_nbrequirements-0.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 4942c031b1fa5c179a70984ccc845c6abb48a60474d4b96798296965c7340db8
MD5 0cfe1eca7c7075f6c1cbf4b2e19b2180
BLAKE2b-256 5fd0975df9477bfcba4d0930748583d01c4111109d00c451696d7b901c82a99c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page