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  1. Spyder is a free and open source IDE for Python, designed for scientists, engineers and data analysts. Download the standalone installer for Windows or use Anaconda to run Spyder with plugins and external packages.

    • Blog

      Website for Spyder, the Scientific Python Development...

    • Spyder Ide

      We're pleased to release the next significant update in the...

    • Docs

      Spyder is a powerful scientific environment written in...

    • Installation Guide

      Windows¶ Spyder is included in the WinPython scientific...

  2. Windows¶ Spyder is included in the WinPython scientific Python distribution, along with many other common numerical computing and data analysis packages. You can use Spyder immediately after installing, similar to Anaconda.

  3. You can install Spyder with the pip package manager, which comes by default with most Python installations. Before installing Spyder itself by this method, you need to acquire the Python programming language. Then, to install Spyder and its other dependencies, run pip install spyder.

  4. Spyder now offers standalone installers for Windows and macOS, making it easier to get up and running with the application without having to download Anaconda or manually install it in your existing environment.

  5. pypi.org › project › spyderspyder · PyPI

    13 de oct. de 2013 · 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 ...

  6. The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux ( experimental ): Windows (Windows 10+): Spyder_64bit_full.exe. macOS. M1 (14.0+): Spyder_arm64.dmg. Intel (12.0+): Spyder.dmg.

  7. 2 de dic. de 2023 · Spyder es un entorno de desarrollo integrado (IDE) para Python que ofrece una amplia gama de características para el desarrollo de código, la depuración y la exploración de datos. Es una herramienta popular para científicos de datos, ingenieros y otros profesionales que utilizan Python.

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