Anaconda
Anaconda

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PyCharm

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Anaconda vs PyCharm: What are the differences?

What is Anaconda? 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.

What is PyCharm? The Most Intelligent Python IDE. 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!.

Anaconda belongs to "Data Science Tools" category of the tech stack, while PyCharm can be primarily classified under "Integrated Development Environment".

According to the StackShare community, PyCharm has a broader approval, being mentioned in 372 company stacks & 527 developers stacks; compared to Anaconda, which is listed in 4 company stacks and 5 developer stacks.

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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 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!

Want advice about which of these to choose?Ask the StackShare community!

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        What are some alternatives to Anaconda and PyCharm?
        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.
        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.
        NumPy
        Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
        SciPy
        Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
        Pentaho Data Integration
        It enable users to ingest, blend, cleanse and prepare diverse data from any source. With visual tools to eliminate coding and complexity, It puts the best quality data at the fingertips of IT and the business.
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        Decisions about Anaconda and PyCharm
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        Reviews of Anaconda and PyCharm
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        How developers use Anaconda and PyCharm
        Avatar of Yaakov Gesher
        Yaakov Gesher uses PyCharmPyCharm

        PyCharm is our preferred IDE for python apps, for all its simple awesomeness in writing code, as well as the ease with which you can run a Django shell, a web server, or run tests.

        Avatar of Eliana Abraham
        Eliana Abraham uses PyCharmPyCharm

        I used pycharm for Machine learning. Then I switched back to sublime and I am going to try atom now.

        Avatar of Viraat Chandra
        Viraat Chandra uses PyCharmPyCharm

        Free for community projects... Must try for those looking for Python IDEs. Works out of the box.

        Avatar of BobStein
        BobStein uses PyCharmPyCharm
        • great editor
        • helpful configurations, though tedious
        • online docs (rival stackoverflow)
        Avatar of Seungkwon Park
        Seungkwon Park uses PyCharmPyCharm

        처음 파이썬을 배웠을 때 pycharm으로 배웠습니다. 지금은 빔을 사용하기 때문에 사용하진 않습니다.

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