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Jin Hyun Cheong

Vassiki Chauhan

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Galileo Galilei

Discovered Jupyter moons 1613

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Fernando Perez

Invented IPython (2001), which led to Project Jupyter (2011, 2014)

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What are Jupyter Notebooks?

Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.

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Web browser interface

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Kernels

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Cells

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Cells

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Jupyter architecture

Source: https://mybinder.org/v2/gh/ipython/ipython-in-depth/master?filepath=binder/Index.ipynb

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Source:https://www.youtube.com/watch?v=xOKPKiAhey4

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Source:https://www.youtube.com/watch?v=xOKPKiAhey4

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Overview

Notebooks are interactive

Markdown, python code, visualizations, import images, widgets.

Notebooks can be shared

Nbviewer, entire books in ipynb.

Notebooks are multilingual

Examples in R & MATLAB

Customization

Table of Contents, Execution time & profiling, scratch space, code & section folding, extensions, themes, look & feel (CSS + JavaScript), debugging, memory usage, profiling, loading scripts etc.

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demo

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Jupyter Lab

IDE in a browser

Vassiki Chauhan

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Imagine a world where...

  • You didn’t spend hours scrolling up and down your unmanageably large Jupyter notebook

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Imagine a world where...

  • You didn’t spend hours scrolling up and down your unmanageably large Jupyter notebook
  • Did not have to waste code cell after code cell to “see what the data looks like”

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Imagine a world where...

  • You didn’t spend hours scrolling up and down your unmanageably large Jupyter notebook
  • Did not have to waste code cell after code cell to “see what the data looks like”
  • Had the ability to deal with file types other .ipynb

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Imagine a world where...

  • You didn’t spend hours scrolling up and down your unmanageably large Jupyter notebook
  • Did not have to waste code cell after code cell to “see what the data looks like”
  • Had the ability to deal with file types other .ipynb
  • and run code from text editors…?

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JupyterLab is a next-generation web-based user interface for Project Jupyter.

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Jupyter Lab Features

  • Code Consoles provide transient scratchpads for running code interactively, with full support for rich output. A code console can be linked to a notebook kernel as a computation log from the notebook, for example.
  • Kernel-backed documents enable code in any text file (Markdown, Python, R, LaTeX, etc.) to be run interactively in any Jupyter kernel.
  • Notebook cell outputs can be mirrored into their own tab, side by side with the notebook, enabling simple dashboards with interactive controls backed by a kernel.
  • Multiple views of documents with different editors or viewers enable live editing of documents reflected in other viewers. For example, it is easy to have live preview of Markdown, Delimiter-separated Values, or Vega/Vega-Lite documents.

https://jupyterlab.readthedocs.io/en/latest/getting_started/overview.html

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Demo