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  1. Downloads - Anaconda

    Download Anaconda Distribution Version | Release Date:Download For: High-Performance Distribution Easily install 1,000+ data science packages Package Management Manage packages ...

  2. Homepage | Anaconda

    Anaconda Core Trusted Python package management to help solve complex dependency challenges with thousands of validated packages, automated security scanning, and intelligent conflict resolution …

  3. Anaconda Navigator

    Next Generation of Anaconda Navigator As part of our commitment to making data science accessible, we are continuing to develop the next generation of Anaconda Navigator.

  4. Anaconda Distribution

    Access to the Anaconda Public Repository, with 8000 open-source data science and machine learning packages. An RSS feed is updated each time a new package is added to the Anaconda package …

  5. Anaconda Documentation

    Whether you want to build data science/machine learning models, deploy your work to production, or securely manage a team of engineers, Anaconda provides the tools necessary to succeed.

  6. Installing Anaconda Distribution

    Anaconda recommends installing Anaconda Distribution in a directory with no spaces or special characters to avoid potential compatibility issues with open-source tools. For more information, see …

  7. Getting started with Anaconda

    In the Get Started with Anaconda entry-level course, you’ll learn about packages, conda environments, Jupyter Notebooks, and more. We’ll also guide you through initiating a Python program (in both a …

  8. About Us | Anaconda

    Anaconda was founded in 2012 by Peter Wang and Travis Oliphant out of the need to bring Python into business data analytics. The use of Python has since exploded, and it’s the most popular …

  9. Anaconda Installers and Packages

    Installers & Packages Using Anaconda for commercial purposes? View our products.

  10. Pricing for Individuals and Organizations | Anaconda

    Use Anaconda for scaled, multi-user, or automated deployments in virtualized or containerized environments. Use Python and curated open-source packages in Excel for advanced analysis, …