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  1. anaconda.org › anaconda › spyderSpyder - Anaconda.org

    Spyder is a powerful and comprehensive Python IDE for scientists, engineers and data analysts. It integrates with many popular scientific packages and can be extended with plugins and embedded in other software.

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  3. www.spyder-ide.orgSpyder | The Python IDE that scientists and data analysts deserve

    Spyder helps you move from single scripts to structured, reusable modules and packages without losing interactivity. It also includes powerful software development tools whenever you’re ready for them.

  4. docs.anaconda.com › working-with-conda › ide-tutorialsSpyder — Anaconda documentation

    Spyder is an open-source IDE that integrates with Anaconda Distribution and popular Python libraries such as NumPy, SciPy, pandas, and more. Learn how to launch, create, and activate a conda environment, and select your Python interpreter in Spyder.

  5. docs.spyder-ide.org › current › installationInstall Guide — Spyder 5 documentation

    Learn how to install Spyder, a scientific Python IDE, on your platform of choice. Find out the advantages and disadvantages of standalone installers, Conda-based distributions, and online options.

  6. docs.spyder-ide.org › 3 › installationInstallation — Spyder 3 documentation

    Learn how to install Spyder, a scientific Python IDE, with Anaconda, a Python distribution that includes Spyder by default. Anaconda also provides conda, a package and environment manager, to simplify Spyder installation and updates.

  7. spyder-ide.github.io › website-spyderHome — Spyder IDE

    Spyder is a free and open source IDE for Python, designed for scientists, engineers and data analysts. It offers editing, debugging, profiling, interactive execution, data exploration, visualization and plugins features.

  8. anaconda.org › free › spyderSpyder - Anaconda.org

    Spyder is a free and open source IDE for Python with features for interactive testing, debugging and introspection. It also supports numerical computing with IPython and NumPy, SciPy, matplotlib and other libraries.

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