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  1. Write a Python program# At the >>>, type print("Hello, Anaconda!") and press Enter or return. When you press Enter or return, your program runs. The words “Hello, Anaconda!” print to the screen. You’re programming in Python! Exit Python# Windows - Press CTRL-Z and press Enter. macOS or Linux - Type exit() and press Enter or return.

  2. User guide. Getting... Getting started with conda # Conda is a powerful command line tool for package and environment management that runs on Windows, macOS, and Linux. This guide to getting started with conda goes over the basics of starting up and using conda to create environments and install packages. Tip.

  3. docs.anaconda.com › anaconda › user-guideAnaconda Documentation

    Anaconda Documentation

  4. Anaconda® Distribution is a Python/R data science distribution containing conda. Conda is an environment and package manager that helps users manage the other 7,500+ open-source packages made available to them through the distribution. Navigator#

  5. Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS.

  6. Managing Python. Create an environment that has a different version of Python. 5 MINUTES. Managing packages. Find packages available for you to install. Install packages. 5 MINUTES. TOTAL TIME: 20 MINUTES. Starting conda. Windows. From the Start menu, search for and open "Anaconda Prompt."

  7. learning.anaconda.cloud › get-started-with-anacondaGet Started with Anaconda

    By the end of this course, you’ll understand: How different parts of the technology stack work together. Basic data science concepts and tools. How to install Anaconda. At least 5 common Python packages and their uses. Useful libraries for data science and machine learning.

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