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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. 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

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

    Launch applications and manage conda packages, environments, and channels without using command line interface (CLI) commands. Search for packages on Anaconda.org or in a local Anaconda Repository. Available for Windows, macOS, and Linux. Get advice from AI Assistant to help you along.

  4. anaconda.organaconda › pythonPython | Anaconda.org

    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.

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

  6. 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.

  7. 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.

  8. More of a visual learner? Sign in to Anaconda Cloud to follow along with our Installing Anaconda (Windows) course linked below!

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

  10. In the first line of the Notebook, add print("Hello, Anaconda"). Save your notebook. Run your new program by clicking Run or selecting Cell > Run All from the top menu.

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