Skip to main content

A Jupyter notebook with access to objects from the Django ORM is a powerful tool to introspect data and run ad-hoc queries.

Project description

dj-notebook

A Jupyter notebook with access to objects from the Django ORM is a powerful tool to introspect data and run ad-hoc queries. This works with modern Django and Python 3.9, 3.10, and 3.11.

Features

  • Easy ipython notebooks with Django
  • Built-in integration with the imported objects from django-extensions
  • Inheritance diagrams on any object, including ORM models

Installation

Use your installation tool of choice, here we use venv and pip:

python -m venv venv
source venv/bin/activate
pip install dj_notebook

Usage

First, find your project's manage.py file and open it. Copy whatever is being set to DJANGO_SETTINGS_MODULE into your clipboard.

Create an ipython notebook in the same directory as manage.py. In VSCode, simply add a new .ipynb file. If using Jupyter Lab, use the File -> New -> Notebook menu option.

Then in the first cell enter:

from dj_notebook import activate

plus = activate("DJANGO_SETTINGS_MODULE_VALUE")

In future cells, you can now load and run Django objects, including the ORM. This three line snippet should give an idea of what you can now do:

from django.contrib.auth import get_user_model
User = get_user_model()
User.objects.all()

Usage Plus

But wait, it gets better!

When you activated the Django environment, you instantiated a variable called 'plus'. The 'plus' variable is an object that contains everything loaded from django-extensions' shell_plus. Here's a demonstration, try running this snippet:

plus.User.objects.all()

We also provide a utility for introspection of classes, which can be useful in sophisticated project architectures. Running this code in a Jupyter notebook shell:

plus.diagram(plus.User)

Generates this image

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

dj_notebook-0.2.2.tar.gz (5.0 kB view details)

Uploaded Source

Built Distribution

dj_notebook-0.2.2-py3-none-any.whl (4.8 kB view details)

Uploaded Python 3

File details

Details for the file dj_notebook-0.2.2.tar.gz.

File metadata

  • Download URL: dj_notebook-0.2.2.tar.gz
  • Upload date:
  • Size: 5.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for dj_notebook-0.2.2.tar.gz
Algorithm Hash digest
SHA256 c3b74aad46c004608280eb772f79dbb2cca63be95bb815bfcefa69fee333166c
MD5 07ba19b27ac11f39fbe8d9dd6e28c1e2
BLAKE2b-256 c875f590e984e722e84cbb6aee271759ef1dde363d91d7d6c999c26764dcdca8

See more details on using hashes here.

File details

Details for the file dj_notebook-0.2.2-py3-none-any.whl.

File metadata

  • Download URL: dj_notebook-0.2.2-py3-none-any.whl
  • Upload date:
  • Size: 4.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for dj_notebook-0.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 041fbfa6f72505aa4c3f515a5e8cc49ff05e16505a2e1d39dcc6bf0012fe1460
MD5 6ee4a62414f868b4a11ac465993e73e7
BLAKE2b-256 c6ddf5ddbc8de545288e710dcef77d2c6503df0a23f9f189629e594b53bf00b1

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