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  1. 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 execution ...

  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.

  3. The standalone installers are our recommended method for most users on Windows and macOS, with experimental Linux support under active development. They work like any other IDE, where Spyder can be installed and updated independently of the Python environments you use to run your code.

  4. 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.

  5. 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.

  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. 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. Windows (Windows 10+): Spyder_64bit_full.exe. macOS. M1 (14.0+): Spyder_arm64.dmg; Intel (11.0+): Spyder.dmg; Linux (CentOS 7+): Linux-x86_64.sh (Experimental) Advanced installation Important Notes. If you are new to Python or the Scientific Python ecosystem, we strongly recommend you to install and use Anaconda.