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  1. Overview. Spyder is a free and open source scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It features a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive ...

    • Blog

      Spyder has received a two-year grant from the Chan...

    • Spyder Ide

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

    • Docs

      Spyder’s documentation provides a variety of resources that...

    • Installation

      You can install Spyder with the pip package manager, which...

  2. 10 de abr. de 2024 · Descarga Spyder Python para PC de Windows desde FileHorse. 100% seguro y protegido Descarga gratuita (32-bit/64-bit) Última versión 2024.

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    • Windows 10 (64-Bit) / Windows 11
    • Developerapplication
  3. Downloading and installing ¶. To download the supported Spyder installer for your platform, simply click the appropriate link below (for Linux, see the Conda-based distributions section). Then, double-click the downloaded file to open the installer. If a security warning pops up, you may need to click Yes, OK, Open, Allow or similar.

  4. 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.

  5. anaconda.org › anaconda › spyder:: Anaconda.org

    Aquí nos gustaría mostrarte una descripción, pero el sitio web que estás mirando no lo permite.

  6. pypi.org › project › spyderspyder · PyPI

    9 de abr. de 2024 · Spyder is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts.

  7. The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux: Windows (Windows 10+): Windows-x86_64.exe. macOS (11.0+): macOS-x86_64.pkg. Linux (CentOS 7+): Linux-x86_64.sh. Notes: To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our ...

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