Brought to you by NumFOCUS Foundation and O’Reilly Media Inc.
The official Jupyter Conference
August 22-23, 2017: Training
August 23-25, 2017: Tutorials & Conference
New York, NY

Data science encapsulation and deployment with Anaconda Project and JupyterLab (sponsored by Anaconda Powered by Continuum Analytics)

Christine Doig (Anaconda )
11:55am–12:35pm Friday, August 25, 2017
Sponsored
Location: Regent Parlor

What you'll learn

  • Explore the Anaconda Project, an open source library created by Continuum Analytics that delivers lightweight, efficient encapsulation and portability of data science projects

Description

Traditional data science project deployments involve lengthy and complex processes to deliver secure and scalable applications in enterprise environments. As a result, data scientists must spend a nontrivial amount of time setting up, configuring, and maintaining deployment infrastructure.

Christine Doig offers an overview of the Anaconda Project, an open source library created by Continuum Analytics that delivers lightweight, efficient encapsulation and portability of data science projects. A JupyterLab extension enables data scientists to install the necessary dependencies, download datasets, and set environment variables and deployment commands from a graphical interface. The Anaconda Project abstraction combined with JupyterLab empowers data scientists to quickly iterate in the entire analytics process, reducing iteration time from data analysis, application development and deployment to production.

Topics include:

  • Encapsulating your data science with Anaconda Project
  • Using Anaconda Project with JupyterLab
  • Reproducing your data science analyses, sharing data science projects with others, running projects across different platforms, and deploying data science applications with a single click
  • Deploying self-service notebooks, interactive applications, dashboards, and machine learning models

This session is sponsored by Anaconda Powered by Continuum Analytics.

Photo of Christine Doig

Christine Doig

Anaconda

Christine Doig is a senior product manager and data scientist at Anaconda Powered by Continuum Analytics. Christine has 8+ years of experience in analytics, operations research, and machine learning in a variety of industries, including energy, manufacturing, and banking. An open source advocate, she has spoken at PyData, EuroPython, SciPy, PyCon, OSCON, and many other open source conferences. Christine holds an MS in industrial engineering from the Polytechnic University of Catalonia in Barcelona.

Leave a Comment or Question

Help us make this conference the best it can be for you. Have questions you'd like this speaker to address? Suggestions for issues that deserve extra attention? Feedback that you'd like to share with the speaker and other attendees?

Join the conversation here (requires login)