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Anaconda

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412
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IPython

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Anaconda vs IPython: What are the differences?

Developers describe Anaconda as "The Enterprise Data Science Platform for Data Scientists, IT Professionals and Business Leaders". A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda. On the other hand, IPython is detailed as "A command shell for interactive computing in multiple programming languages". It provides a rich architecture for interactive computing with a powerful interactive shell, a kernel for Jupyter. It has a support for interactive data visualization and use of GUI toolkits Flexible, embeddable interpreters to load into your own projects. Easy to use, high performance tools for parallel computing. .

Anaconda can be classified as a tool in the "Data Science Tools" category, while IPython is grouped under "Shells".

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Pros of Anaconda
Pros of IPython
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    • 1
      Interactive exploration then save to a script
    • 1
      Persistent history between sessions
    • 1
      It's magical are just that
    • 1
      Help in a keystroke

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    What is Anaconda?

    A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.

    What is IPython?

    It provides a rich architecture for interactive computing with a powerful interactive shell, a kernel for Jupyter. It has a support for interactive data visualization and use of GUI toolkits. Flexible, embeddable interpreters to load into your own projects. Easy to use, high performance tools for parallel computing.

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    What companies use Anaconda?
    What companies use IPython?
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    What tools integrate with Anaconda?
    What tools integrate with IPython?

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    What are some alternatives to Anaconda and IPython?
    Python
    Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
    PyCharm
    PyCharm’s smart code editor provides first-class support for Python, JavaScript, CoffeeScript, TypeScript, CSS, popular template languages and more. Take advantage of language-aware code completion, error detection, and on-the-fly code fixes!
    pip
    It is the package installer for Python. You can use pip to install packages from the Python Package Index and other indexes.
    Jupyter
    The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
    Pandas
    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
    See all alternatives