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  1. 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.

    • Docs

      Spyder is a powerful scientific environment written in...

    • Installation Guide

      The standalone installers are our recommended method for...

    • Documentation

      Spyder is a powerful scientific environment written in...

  2. Spyder is a powerful and comprehensive development tool for Python, designed for scientists, engineers and data analysts. Learn how to install, use and contribute to Spyder with video tutorials, guides, FAQs and more.

  3. Learn how to install Spyder, a scientific Python IDE, on Windows, Linux and macOS. Choose between standalone installers, Conda-based distributions or online version.

  4. Spyder is a powerful and comprehensive Python IDE for scientists, engineers and data analysts. Learn how to install, use and extend Spyder with its features, plugins, API and PyQt5 integration.

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    • Overview
    • Try Spyder online
    • Help support Spyder, the community-developed scientific IDE!
    • Core components
    • Documentation
    • Installation
    • Troubleshooting
    • Contributing and Credits
    • Running from a git clone
    • Dependencies
    • GeneratedCaptionsTabForHeroSec

    Copyright © 2009– Spyder Project Contributors and others (see AUTHORS.txt)

    Some source files and icons may be under other authorship/licenses; see NOTICE.txt.

    👈 Click on this link to run the latest Spyder version in your browser.

    👈 Click on this link to check the next Spyder 5 version.

    Spyder development is made possible by contributions from our global user community, along with organizations like NumFOCUS and Quansight. There are numerous ways you can help, many of which don't require any programming. If you'd like to make a donation to help fund further improvements, we're on OpenCollective.

    Thanks for all you do to make the Spyder project thrive! More details

    •Editor

    Work efficiently in a multi-language editor with a function/class browser, real-time code analysis tools (pyflakes, pylint, and pycodestyle), automatic code completion (jedi and rope), horizontal/vertical splitting, and go-to-definition.

    •Interactive console

    Harness the power of as many IPython consoles as you like with full workspace and debugging support, all within the flexibility of a full GUI interface. Instantly run your code by line, cell, or file, and render plots right inline with the output or in interactive windows.

    •Documentation viewer

    Render documentation in real-time with Sphinx for any class or function, whether external or user-created, from either the Editor or a Console.

    You can read the Spyder documentation online on the Spyder Docs website.

    For a detailed guide to installing Spyder, please refer to our installation instructions.

    The easiest way to install Spyder on any of our supported platforms is to download it as part of the Anaconda distribution, and use the conda package and environment manager to keep it and your other packages installed and up to date.

    If in doubt, you should always install Spyder via this method to avoid unexpected issues we are unable to help you with; it generally has the least likelihood of potential pitfalls for non-experts, and we may be able to provide limited assistance if you do run into trouble.

    Other installation options exist, including:

    •The WinPython distribution for Windows

    •The MacPorts project for macOS

    Before posting a report, please carefully read our Troubleshooting Guide and search the issue tracker for your error message and problem description, as the great majority of bugs are either duplicates, or can be fixed on the user side with a few easy steps. Thanks!

    Spyder was originally created by Pierre Raybaut, and is currently maintained by Carlos Córdoba and an international community of volunteers.

    You can join us—everyone is welcome to help with Spyder! Please read our contributing instructions to get started!

    Certain source files are distributed under other compatible permissive licenses and/or originally by other authors. The icons for the Spyder 3 theme are derived from Font Awesome 4.7 (© 2016 David Gandy; SIL OFL 1.1). Most Spyder 2 theme icons are sourced from the Crystal Project icon set (© 2006-2007 Everaldo Coelho; LGPL 2.1+). Other Spyder 2 icons are from Yusuke Kamiyamane (© 2013 Yusuke Kamiyamane; CC-BY 3.0), the FamFamFam Silk icon set (© 2006 Mark James; CC-BY 2.5), and the KDE Oxygen icons (© 2007 KDE Artists; LGPL 3.0+).

    See NOTICE.txt for full legal information.

    Please see the instructions in our Contributing guide to learn how to do run Spyder after cloning its repo from Github.

    Build dependencies

    When installing Spyder from its source package, the only requirement is to have a Python version equal or greater than 3.8.

    Runtime dependencies

    The basic dependencies to run Spyder are: •Python 3.8+: The core language Spyder is written in and for. •PyQt5 5.15+: Python bindings for Qt, used for Spyder's GUI. The rest our dependencies (both required and optional) are declared in this file.

    Spyder is a Python IDE for data science and scientific computing. It is developed by the spyder-ide organization on GitHub, where you can find the latest releases, documentation, and source code.

  6. pypi.org › project › spyderspyder · PyPI

    Jun 11, 2024 · Spyder is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It offers a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep inspection ...

  7. Spyder is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language. Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software.

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