© 2017 Continuum Analytics - Confidential & Proprietary© 2017 Continuum Analytics - Confidential & Proprietary

Discover the Next Generation

Data Science IDEFrom Notebooks to JupyterLab—The Evolution of Data Science Environments

Travis Oliphant, Co-founder, President & Chief Data Scientist

Gus Cavanaugh, Product Marketing Manager

August 22, 2017

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Travis Oliphant

• President, Chief Data Scientist & Co-Founder of Continuum Analytics

• Co-Founder of NumFOCUS

• PhD from the Mayo Clinic, BS & MS degrees in mathematics and electrical engineering

from Brigham Young University

• Primary developer of NumPy package

• Founding contributor of SciPy package

• Author of Guide to NumPy

• Creator of Numba

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Gus Cavanaugh

• Product Marketing Manager at Continuum Analytics

• Previously Consultant at IBM and Booz Allen Hamilton

• Bachelor's Degree in Business Administration & English

• Master’s Degree in Systems Engineering

4

What is Anaconda?

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The Most Popular Python Data Science Platform with Over 4.5M Users

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Anaconda Distribution, the Most Trusted Distribution for Data Science

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Data Science IDEs

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Data Science IDEs vs Developer IDEs

Data Science IDE Developer IDE

Data-centric Code-centric

Interactivity, visualizations,

variable explorerClasses, debugging, profiling

Less code complexity, scripts More complex code, programs

Integration with data sourcesIntegration with git, build tools,

compilers

Models and narratives

storytelling

Tools and libraries

functionality

RStudio, Spyder, Jupyter,

JupyterLab

PyCharm, Visual Studio,

Wing IDE, Sublime text

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Data Science IDEs in Anaconda

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Spyder

Editor with code

completion and linting

Multiple interactive

consoles and evaluation

models

Variable explorer to view

Pandas data frames and

Numpy arrays

Interactive documentation

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RStudio

Environment - variables

History

Interactive Console

R Markdown

Viewer, plots

Scripts / Markdown

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Jupyter Notebook

Storytelling

Markdown & code cells

Interactivity – Widgets

Visualizations

Multilanguage - Kernels

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The Jupyter Story

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2009 2010 2011 2012 2013 2014 2015 2016 2017

From IPython to JupyterLab

2001 …

Initial release of IPython:- ipython by Fernando Pérez- IPP by Janko Hauser- LazyPython by Nathan Gray

Jupyter

Notebooks added to IPython 0.12

First JupyterCON

Jupyter UserSurvey

JupyterLabStarted

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JupyterLab

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Flexibility

Extensibility

Speed

Scalability

JupyterLab

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Anaconda Enterprise v5

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JupyterLab at the Core of Anaconda Enterprise v5

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JupyterLab Demo

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JupyterLab demos

• Demo 1: JupyterLab tour

• Demo 2: Data exploration in JupyterLab

• Demo 3: JupyterLab in Anaconda Enterprise v5

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Next Steps

DOWNLOAD Anaconda and JupyterLabcontinuum.io/downloads

conda install -c conda-forge jupyterlab

SIGN UP for the Anaconda Enterprise Innovator Programgo.continuum.io/anaconda-enterprise-innovator/

READ more about data science in our developer blogcontinuum.io/blog/developer-blog/