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    Announcing
    Anaconda Enterprise 5

    The Enterprise-Ready
    Data Science Platform

    Learn More

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    Anaconda + Microsoft Python-Powered Machine Learning

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    Read Our Latest Whitepaper

    Deploying Secure and Scalable Data Science Projects

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    Anaconda Support

    World-Class Experts.
    Enterprise-Ready Solutions.

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The Most Popular Python Data Science Platform

Accelerate

Streamline your data science workflows from data ingest through deployment

Connect

Leverage & integrate all your data sources to extract the most value from your data

Empower

Create, collaborate & share with your entire team—from analysts to executives

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I always recommend Anaconda now for easy data science python install @anacondainc

@anacondainc @pwang I don't use anything aside from Anaconda now. Everything just works, and it works beautifully.

1000× this. Use Anaconda from @anacondainc. Find inner peace. @teoliphant @pwang #pydata #bigdata #machinelearning

Organizations Leveraging Anaconda for Enterprise Data Science

    • BMW

    • Citibank

    • HSBC Bank

    • Cisco

    • General Electric

    • Samsung

    • GlaxoSmithKline

    • Mayo Clinic

    • U.S. Securities and Exchange Commission

    • In-Q-Tel

    • Zurich Insurance

    • Columbia University

    • City of Boston

    • Llyods Banking Group

    • Brookhaven National Laboratory

    • National Grid

    • AT&T

    • Bloomberg

    • GE Power

    • PIMCO

    • Micron Technology

    • CloudQuant

    • Marshall Wace

    • Molex

    • Machinalis

    • Otto Group

    • U.S. Army Corps of Engineers

    • West Health

What's New

  • News

    Anaconda to Present at Strata Data Conference, New York

    Anaconda, the most popular Python data science platform provider, today announced that several company experts will present two sessions and one tutorial at The Strata Data Conference on September 26 and 27 at the Javits Center in New York City.
  • Blog

    Strata Data Conference Grows Up

    The Strata conference will always hold a place in my heart, as it’s one of the events that inspired Travis and I to found Anaconda. We listened to open source-driven talks about data lakes and low-cost storage and knew there would be a demand for tools to help organizations and data scientists derive value from these mountains of information.

    Seven Things You Might Not Know About Numba

    In this post, I want to dive deeper and demonstrate several aspects of using Numba on the GPU that are often overlooked. I’ll quickly breeze through a number of topics, but I’ll provide links throughout for additional reading.
  • Whitepapers

    Productionizing and Deploying Secure and Scalable Data Science Projects

    Empower your data science team with one-click deployments from Anaconda Enterprise

    Traditional data science project deployments typically involve complex, time-consuming processes that take data scientists away from what they do best: exploring and analyzing data. But why place this burden on your data science team when Anaconda Enterprise can handle the process instead–all with the single click of a button?

    Open Data Science Survey Report

    How Teamwork Leads to Victory

    Being the defacto leader in Open Data Science, we wanted to learn more about the executive requirement for Open Data Science in enterprise and conducted the first ever Open Data Science Survey. This illuminating flagship survey delivers surprising insight along with validating stats for those familiar with the data science industry.

    This report, “Winning at Data Science: How Teamwork Leads to Victory,” on the state of data science highlights is now available for download.

    Breaking Data Science Open

    How Open Data Science is Eating the World

    Deliver Collaboration, Self-Service and Production Deployment with Open Data Science

    Data science has burst into public attention over the past few years as perhaps the hottest and most lucrative technology field. No longer just a buzzword for advanced analytics, data science is poised to change everything about an organization: its potential customers, expansion plans, engineering and manufacturing process, how it chooses and interacts with suppliers and more.

  • Webinars