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

  3. Anaconda.org allows anyone to distribute their conda and standard Python packages to the world. We support package builders and their users: Individuals and organizations can manage and distribute software

  4. 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.

  5. Install offline copies of documentation for many of Anacondas open-source packages by installing the conda package anaconda-oss-docs: conda install anaconda-oss-docs. Other ways to get Anaconda or Miniconda. The official Anaconda or Miniconda AMIs are on the AWS Marketplace.

  6. Unless you plan on installing and running multiple versions of Anaconda or multiple versions of Python, accept the default and leave this box checked. Instead, use Anaconda software by opening Anaconda Navigator or the Anaconda Prompt from the Start Menu.

  7. Anaconda® Distribution is a Python/R data science distribution that contains: conda - a package and environment manager for your command line interface. Anaconda Navigator - a desktop application built on conda, with options to launch other development applications from your managed environments.

  8. Anaconda is a Python distribution which includes over 400 Python packages for science, math, engineering, and data analysis.

  9. Python is a widely used high-level, general-purpose, interpreted, dynamic programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in languages such as C++ or Java.

  10. The Hub for Data Science and AI Collaboration. Expert support and streamlined collaboration at every stage of the data science lifecycle. Source, build, and deploy with ease. Take your work from idea to integration alongside data scientists, open-source contributors, and partners, leveraging leading-edge tools along the way. Talk to an Expert.

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