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

  2. More of a visual learner? Sign in to Anaconda Cloud to follow along with our Installing Anaconda (Windows) course linked below! Anaconda install for Windows. Installation# Download the Anaconda installer. (Optional) Anaconda recommends verifying the integrity of the installer after downloading it. How do I verify my installer’s integrity?

  3. Install offline copies of documentation for many of Anaconda’s open-source packages by installing the conda package anaconda-oss-docs: conda install anaconda-oss-docs Other ways to get Anaconda or Miniconda

  4. Democratize AI innovation with the world’s most trusted open ecosystem for data science and AI development.

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  6. www.anaconda.com › products › navigatorNavigator | Anaconda

    Navigator enables you to work with packages and environments without needing to type conda commands in a terminal window. Find the packages you want, install them in an environment, and run and update them – all inside Navigator.

  7. Anaconda Community# Engage with others in the Anaconda Community Forum and learn the basics and beyond with instructor-guided walkthroughs and lessons from Anaconda Learning. Cloud Notebooks# Anaconda Notebooks allows anyone, anywhere to begin their data science journey.

  8. Your first Python program: Hello, Anaconda! Back to Getting Started This tutorial will take you through a short programming exercise, using Navigator and then a command line interface (CLI).

  9. This guide to getting started with conda goes over the basics of starting up and using conda to create environments and install packages. Tip. Anaconda Navigator is a graphical desktop application that enables you to use conda without having to run commands at the command line.

  10. Miniconda is a free minimal installer for conda. It is a small bootstrap version of Anaconda that includes only conda, Python, the packages they both depend on, and a small number of other useful packages (like pip, zlib, and a few others). If you need more packages, use the conda install command to install from thousands of packages available ...

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