Skip to main content

Prefect integrations interacting with Jupyter.

Project description

prefect-jupyter

PyPI

Welcome!

Prefect integrations interacting with Jupyter.

Getting Started

Python setup

Requires an installation of Python 3.7+.

We recommend using a Python virtual environment manager such as pipenv, conda or virtualenv.

These tasks are designed to work with Prefect 2.0. For more information about how to use Prefect, please refer to the Prefect documentation.

Installation

Install prefect-jupyter with pip:

pip install prefect-jupyter

Run a parameterized notebook

prefect-jupyter uses papermill under the hood. Check out papermill's documentation to learn how to parametrize the notebook.

The following code shows how to run a parameterized notebook:

from prefect import flow
from prefect_jupyter import notebook

@flow
def example_execute_notebook():
    nb = notebook.execute_notebook(
        "test_notebook.ipynb",
        parameters={"num": 5}
    )
    body = notebook.export_notebook(nb)
    output_path = "executed_notebook.ipynb"
    with open(output_path, "w") as f:
        f.write(body)
    return output_path

example_execute_notebook()

Resources

Feedback

If you encounter any bugs while using prefect-jupyter, feel free to open an issue in the prefect-jupyter repository.

If you have any questions or issues while using prefect-jupyter, you can find help in either the Prefect Discourse forum or the Prefect Slack community.

Feel free to star or watch prefect-jupyter for updates too!

Contributing

If you'd like to help contribute to fix an issue or add a feature to prefect-jupyter, please propose changes through a pull request from a fork of the repository.

Here are the steps:

  1. Fork the repository
  2. Clone the forked repository
  3. Install the repository and its dependencies:
 pip install -e ".[dev]"
  1. Make desired changes
  2. Add tests
  3. Insert an entry to CHANGELOG.md
  4. Install pre-commit to perform quality checks prior to commit:
 pre-commit install
  1. git commit, git push, and create a pull request

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

prefect-jupyter-0.3.1.tar.gz (27.3 kB view details)

Uploaded Source

Built Distribution

prefect_jupyter-0.3.1-py3-none-any.whl (9.2 kB view details)

Uploaded Python 3

File details

Details for the file prefect-jupyter-0.3.1.tar.gz.

File metadata

  • Download URL: prefect-jupyter-0.3.1.tar.gz
  • Upload date:
  • Size: 27.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for prefect-jupyter-0.3.1.tar.gz
Algorithm Hash digest
SHA256 327fd4a90bd183c1382fa079b92300dbb0b13a5b8337228fc01c352ee01e516e
MD5 110d0f12740a7a9cb64d59337e86d537
BLAKE2b-256 12aeaf03104f7467f9d4b2e7d9284438e5c82fcefb49a46ed986bf2c544cc89e

See more details on using hashes here.

File details

Details for the file prefect_jupyter-0.3.1-py3-none-any.whl.

File metadata

File hashes

Hashes for prefect_jupyter-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 8a9e9f037326ead9a074c0784a0c6497ca826835c563689039c91fde983d0efd
MD5 3e2da9e6f8aeb1424ed398ec1aef2b39
BLAKE2b-256 dc6f48ca939db0cfddd2ec4e8dbff948b05b5995c09576862cce607a7ae9cb56

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