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    Smart Strategy Games » Answer » Can I install anaconda on drive D?

    Can I install anaconda on drive D?

    By Tien Nguyen

    Can I install anaconda on drive D?

    To make Anaconda easily accessible, put it in a directory (where it has write permissions) that is as high up on disk as possible. For example, on my system, I have drive D: reserved for applications, so I use D:/Anaconda3 as my Anaconda installation directory.

    Table of Contents

    • Can I install Anaconda on drive D?
    • Is Anaconda better than Python?
    • How do I install Anaconda?
    • What is Anaconda Command Prompt?
    • How is Anaconda related to Python?
    • What is the Anaconda software package?

    Can I install Anaconda on drive D?

    Is Anaconda better than Python?

    Anaconda is the best tool to process a large amount of data for the required purpose. Python is versatile in creating the applications needed by the data science industry.

    How do I install Anaconda?

    Download and install Anaconda 1. Go to the Anaconda website and choose a graphical Python 3.x installer (A) or a graphical Python 2.x installer (B). 2. Locate your download and double click on it. 3. Read the license agreement and click I Accept. 4. Click Next. 1. Open a command prompt. 4. Add conda and python to your PATH.

    What is Anaconda Command Prompt?

    1 Answer 1. The Anaconda command prompt is like the command prompt, but it makes sure that you can use the anaconda and conda commands from the command prompt, without having to change directories or their path. When you start the Anaconda command prompt, you’ll notice that it adds/(“prepends”) a bunch of locations to your PATH.

    How is Anaconda related to Python?

    The relation of anaconda to Python is that Anaconda is a scientific computing and data processing platform based on Python. It has built in many very useful third party libraries.

    What is the Anaconda software package?

    Anaconda is a free and open source distribution of the Python and R programming languages ​​for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), aimed at simplifying administration and package deployment. Package versions are managed by the conda package management system.

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    Tien Nguyen
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