Jupyter Notebooks Python Packages

jupyterlab-widgets

Interactive Widgets for the Jupyter Notebook

myst-nb

Parse and execute ipynb files in Sphinx

jupyter-cache

A defined interface for working with a cache of executed jupyter notebooks

nba-api

An API Client package to access the APIs for NBA.com

lets-plot

Multiplatform plotting library based on the Grammar of Graphics

ipyflow-core

A reactive Python kernel for Jupyter notebooks.

nbdev

Create delightful software with Jupyter Notebooks

databricks-utils

`databricks-utils` is a python package that provide several utility classes/func that improve ease-of-use in databricks notebook.

ipydatagrid

Fast Datagrid widget for the Jupyter Notebook and JupyterLab

jupyterquiz

An interactive Quiz generator for Jupyter notebooks and Jupyter Book

pydna

Clone with Python! Data structures for double stranded DNA & simulation of homologous recombination, Gibson assembly, cut & paste cloning.

treon

Easy to use test framework for Jupyter Notebooks

jupyter-notebook-parser

A Python library to parse cell contents from Jupyter notebooks

otter-grader

A Python and R autograding solution

neo4j-viz

A Python package for creating interactive graph visualizations

ploomber

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

flake8-nb

Flake8 checking for jupyter notebooks

garmindb

Download and parse data from Garmin Connect or a Garmin watch, FitBit CSV, and MS Health CSV files into and analyze data in Sqlite serverless databases with Jupyter notebooks.

ipyflow

A reactive Python kernel for Jupyter notebooks.

jupyter-flex

Build dashboards using Jupyter Notebooks

yfiles-jupyter-graphs

The home of the Jupyter notebook graph visualization widget powered by yFiles for HTML

deafrica-tools

Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray

mitdeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

sparkhistogram

Includes notes on using Apache Spark, with drill down on Spark for Physics, how to run TPCDS on PySpark, how to create histograms with Spark. Also tools for stress testing, measuring CPUs' performance, and I/O latency heat maps. Jupyter notebooks examples for using various DB systems.