Tour Anaconda Enterprise Without Leaving Your Desk

© 2016 Continuum Analytics - Confidential & Proprietary© 2016 Continuum Analytics - Confidential & Proprietary

Tour Anaconda Enterprise Without Leaving Your DeskAccelerate. Connect. Empower.

Ian Stokes-ReesComputational Scientist

December 15, 2016

© 2016 Continuum Analytics - Confidential & Proprietary 2

Join us for the inaugural AnacondaCONDiscover What #OpenDataScienceMeans

http://anacondacon17.io

Speakers from industry, government, academia

Demos, BoFs, Panels, Exhibits, Partner Showcase

http://anacondacon17.io/


• Ph.D. at the University of Oxford, working on the CERN LHCb particle physics experiment

• Harvard University, working on computational techniques for protein structure determination

• Joined Continuum Analytics in 2013• Greatest interest: enabling communication,

collaboration and discovery using high performance computing infrastructure

Ian Stokes-Rees @ijstokesComputational Scientist, Continuum Analytics


• Intro to Anaconda Enterprise Notebooks for effortless collaboration

• Publish analytics using Anaconda Enterprise

• Discover deep insights with interactive visualizations

• Communicate work to all levels through interactive visualizations

• Deploy data science with Anaconda and engage your team with intuitive and

relevant data science narratives

• Q&A

Agenda

5

Anaconda Distribution


ANACONDA Accelerates Adoption of Open Data Science for Enterprises

• Easy to install

• Agile data exploration

• Powerful data analysis

• Simple to collaborate

• Accessible to everyone

PYTHON & R OPEN SOURCE ANALYTICSNumPy SciPy Pandas Scikit-learn Jupyter/IPython

Numba Matplotlib Spyder Numexpr Cython Theano

Scikit-image NLTK NetworkX IRKernel dplyr shiny

ggplot2 tidyr caret PySpark & 720+ packages

https://docs.continuum.io/anaconda/pkg-docs

http://continuum.io/downloads

https://www.continuum.io/blog/developer/jupyter-and-conda-r

https://anaconda.org/search?q=

© 2016 Continuum Analytics - Confidential & Proprietary

221 W. 6th StreetSuite #1550Austin, TX 78701+1 512.222.5440

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@ContinuumIO


Full Featured Analytics Platform



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@ContinuumIO


Hundreds of Analytics Tools - Integrated


Anaconda Distribution Promise• Individuals• Government• Commercial• Students

• Educational• Research• Application embedding• Commercial

• No time limits• No trials• No license files• No expiry

Free for everyone

Free forany useFreeforever



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@ContinuumIO


Anaconda Solves Many Analytics Problems• Deployment: Windows, Mac, Linux• Reproducibility• Extensibility and Flexibility

• Over 100,000 Conda packages available today• Multi-language: Python, R, Scala, Julia and more• Widely used:

• Hundreds of companies• Millions of users• Millions of annual downloads

• Analytics sandboxes without VMs or containers

http://continuum.io/downloads

http://anaconda.org/



https://www.continuum.io/customers



[email protected]

@ContinuumIO


Anaconda DistributionWho is it for?

• Single user• Single system• Unrestricted access to public Internet• Access to Anaconda Cloud

When do you need Anaconda Enterprise?• Multiple users• Collaboration• Compute clusters• Hadoop• On-premesis package mirror• Private package repository

12

Anaconda Enterprise



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Anaconda Platform


Data Lab: shared analytics cluster

Package Control

Internal Anaconda Repository

Authentication

Anaconda Enterprise Notebook Server

Computation

Web Interface

Active Directory/ LDAPOptional

Anaconda Enterprise Architecture

Data Scientist (Mac)

Business Analyst (Win)

DevOps Engineer (Linux)

Publish

Fetch

Productionanalytics cluster



Data lineage

Interactive Visualizations

Advanced notebook extensions

Anaconda Enhanced Jupyter Notebooks

https://anaconda.org/ijstokes/sas-and-jupyter-in-5-minutes/notebook

https://anaconda.org/pwang/gapminder/notebook

17

Excel + Python + Jupyter


Anaconda Fusion Excel Integration

BRING interactive visualizations, machine learning and ETL to Excel

BRIDGE Excel Data to Python & R through notebooks

ACCESS all the power of Python and Big Data, natively embedded inside Excel

Anaconda Fusion brings Open Data Science to Microsoft Excel

19

Parallel Data Processing


• Parallel and Distributed Pandas and Numpy

• Low latency workflow manager• Graphical tools• Simple APIs• Extensible and generalizable to

other data structures

Dask: Parallel Data Processing

http://dask.pydata.org/en/latest/

http://jcrist.github.io/dask-sklearn-part-1.html

http://distributed.readthedocs.io/en/latest/web.html


Dask: Parallel Data Processing

Synthetic views of Numpy ndarrays

Synthetic views of Pandas DataFrameswith HDFS support

DAG construction and workflow manager

http://matthewrocklin.com/blog/work/2016/02/22/dask-distributed-part-2


http://dask.pydata.org/en/latest/




22

Interactive Data Vizualization Apps


Interactive Data Visualization

• Interactive viz, widgets, and tools• Versatile high level graphics• Streaming, dynamic, large data• Optimized for the browser• No Javascript• With or without a server

http://slideviewer.herokuapp.com/url/ahmedmoustafa.io/notebooks/microarray.ipynb#/16

http://cecp.mit.edu/pages/provincial-comparison.html

http://bokeh.pydata.org/en/latest/docs/gallery/chord_chart.html

http://bokeh.pydata.org/


Rapid Prototyping Visual Apps

• Python interface• R interface• Smart plotting

https://demo.bokehplots.com/

http://bokeh.pydata.org/en/latest/docs/gallery.html

http://hafen.github.io/rbokeh

25

Geoviews and Datashader


Datashader: Rendering a Billion Points of Data• datashader provides a fast,

configurable visualization pipeline for faithfully revealing even very large datasets

• Each of these visualizations requires just a few lines of code and no magic numbers to adjust by trial and error.


Datashader

28

Anaconda Accelerate


GPU Acceleration in Python

Linear algebra, FFTs, sorting, random number generation

Fast algorithms for nVidia GPUs

Data profiling in Jupyter Notebooks

Works with Numba

Track what size and type of data is beingpassed through your algorithm for better optimization decision-making

Designed to be used in conjunction with the Numba Python compiler for CPUs and GPUs



[email protected]

@ContinuumIO


Linear Algebra on the GPU with Anaconda Accelerate

Double precision matrix-matrix multiplicationIntel Core i7-4820K 3.70GHz CPU vs. NVIDIA Tesla K20c



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@ContinuumIO


Data Profiling

32

Data Science Workflows



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@ContinuumIO


Laptop to Cluster



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@ContinuumIO


Analytics artifact repository



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@ContinuumIO


From Data Lab to Production Analytics


Questions?


• Try it out yourselfSign up for an Anaconda Enterprise Test Drive:

know.continuum.io/Anaconda-Enterprise-Test-Drive.html

• Meet up with other thought leaders like youRegister for AnacondaCON – February 7-9, 2017: anacondacon17.io

• Learn more about the Anaconda PlatformCheck out the “Resources” tab for webinars, whitepapers and more: continuum.io/

Next Steps

http://www.know.continuum.io/Anaconda-Enterprise-Test-Drive.html

https://anacondacon17.io/

https://continuum.io/

© 2016 Continuum Analytics - Confidential & Proprietary© 2016 Continuum Analytics - Confidential & Proprietary

Continuum AnalyticsWe empower data science teamsto make the world a better placeWe Empower Data Science Teams to Make the World Better221 W. 6th StreetSuite #1550Austin, TX 78701+1 512.222.5400

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Tour Anaconda Enterprise Without Leaving Your Desk