Project Jupyter and IPython

Overview

Jupyter and IPython are a pair of open source projects that together offer an open-source (BSD-licensed), interactive computing environment for Python, Julia, R and other languages.

Enable the creation and sharing of computational narratives across a wide range of contexts and audiences

Make computational reproducibility possible and enjoyable

Minimize the "distance" between a human user and their code/data through interactivity



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%load_ext load_style
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from IPython.display import Image

IPython



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Started in 2001 by Fernando Perez, who continues to lead the project from UC Berkeley.
I joined in 2004.
Originally focused on interactive computing in Python only.
I wrote the IPython Notebook in 2011.
Starting in 2012, IPython began to include other languages such as Julia, R, Ruby, etc.
Moving forward, IPython contains only the Python specific parts of the architecture:
- Interactive Python shell
- A kernel for running Python code in the Jupyter architecture
- Tools for interactive parallel computing in Python

Jupyter



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http://jupyter.org

Founded in the Summer of 2014 by the IPython development team.
Goal: carry forward the above goals of reproducible interactive computing for all programming languages:
- Python
- Julia
- R
- Scala
- ...
- See this page for a list of the >50 currently supported languages.
A home for the language independent parts of the architecture:
- A network protocol for applications to talk to kernels that run code for interactive computations.
- A set of applications that enable users to write and run code on those kernels.
- Notebook file format and conversion tools (nbconvert).
Notebook sharing service (https://nbviewer.jupyter.org/).