Projects Jupyter and IPython



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from IPython.display import display, Image, HTML
from talktools import website, nbviewer

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.

Goals:

Provide a set of reusable software tools that span the entire lifecycle of scientific computing and data science:
- Individual exploration, analysis and visualization
- Debugging, testing
- Production runs
- Parallel computing
- Collaboration
- Publication
- Presentation
- Teaching/Learning
Enable the creation and sharing of code/data driven narratives across a wide range of contexts and audiences.
Make computational reproducibility possible and enjoyable.
Minimize the "distance" between a human user and their data through interactivity.

IPython

Started in 2001 by Fernando Perez, who continues to lead the project from UC Berkeley.
Originally focused on interactive computing in Python only.
Starting in 2011, IPython began to include other languages such as Julia, R, Ruby, etc.
Moving forward, IPython will contain 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

Created in Summer 2014 by the IPython development team.
To carry forward a vision of reproducible interactive computing for all programming languages:
- Python
- Julia
- R
- Ruby
- Haskell
- Scala
- Go
- ...
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/).

Funding

Over the past 13 years, much of Jupyter/IPython has been "funded" by volunteer developer time.
Past funding: NASA, DOD, NIH, Enthought Corporation
Current funding:

Contributors

Jupyter/IPython development team

A talented team of $\approx9$ core developers and a larger community of $\approx375$ contributors.
Through the above funding sources, there are currently 6 full time people working on IPython at UC Berkeley and Cal Poly.



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import ipythonproject



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ipythonproject.core_devs()

Google

Kayur Patel
Kester Tong
Mark Sandler
Corinna Cortes

Bloomberg

Jason Grout
Sylvain Corlay

yt

Matthew Turk