Software Alternatives & Reviews

Top 5 Python IDEs For Data Science

Spyder PyCharm Rodeo Atom Jupyter
  1. 1
    The Scientific Python Development Environment
    Pricing:
    • Open Source
    If you have the Anaconda distribution installed on your computer, you probably already know Spyder. It’s an open source cross-platform IDE for data science. If you have never worked with an IDE, Spyder could perfectly be your first approach. It integrates the essentials libraries for data science, such as NumPy, SciPy, Matplotlib and IPython, besides that, it can be extended with plugins.

    #Python IDE #Data Science IDE #Python Text Editor 2 social mentions

  2. Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
    Features Just like other IDEs, PyCharm has interesting features such as a code editor, errors highlighting, a powerful debugger with a graphical interface, besides of Git integration, SVN, and Mercurial. You can also customize your IDE, choosing between different themes, color schemes, and key-binding. Additionally, you can expand PyCharm’s features by adding plugins; You can take a look at the PyCharm Plugins Library here.

    #Python IDE #IDE #Text Editors

  3. 3
    A Native Python IDE for Data Science

    #Python IDE #Data Science IDE #Text Editors

  4. 4
    At GitHub, we’re building the text editor we’ve always wanted: hackable to the core, but approachable on the first day without ever touching a config file. We can’t wait to see what you build with it.
    For instance, One of these plugins - called “Packages” - is the Data Atom, which allows you to write and execute SQL queries. It supports PostgreSQL, Microsoft SQL Server, and MySQL. Besides that, you can also visualize your results on Atom, without open any other window. Additionally, you also have a plugin called “Markdown Preview Plus”, which provides you with built-in support for editing and visualizing Markdown files and which allows you to open a preview, render LaTeX equations, and much more!

    #Text Editors #IDE #Software Development 152 social mentions

  5. Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
    1071070Related postsmust readpython+2Jupyter Notebook Tutorial: The Definitive GuideKarlijn WillemsJanuary 9th, 2019machine learning+2Deep Learning With Jupyter Notebooks In The CloudDan BeckerMarch 23rd, 2017learning data science+2AWS EC2 Tutorial For BeginnersMichael GalarnykDecember 6th, 2017Post a CommentSubscribe to RSSAboutTermsPrivacyWant to leave a comment? ;(function(p,l,o,w,i,n,g){if(!p[i]){p.GlobalSnowplowNamespace=p.GlobalSnowplowNamespace

    #Data Science And Machine Learning #Data Science Tools #Data Science Notebooks 204 social mentions

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