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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 ...
Spyder is relatively easy to install on Windows, Linux and macOS. Just make sure to read and follow these instructions with care. If you run into problems, before posting a report, please consult our comprehensive troubleshooting guide and search the issue tracker for your error message and problem description.
Spyder is a powerful 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, deep ...
Spyder is relatively easy to install on Windows, Linux and macOS. Just make sure to read and follow these instructions with care. This section explains how to install the latest stable release of Spyder. If you prefer testing the development version, please use the boostrap script instead.
Spyder’s documentation provides a variety of resources that will help you learn how to use the application and explore each one of its panes. These include video tutorials, in-depth descriptions and how-to guides covering a wide range of needs and experience levels with Spyder.
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 inspection ...
17 de sept. de 2023 · En este tutorial, te presentaremos Spyder, un entorno de desarrollo integrado (IDE) que ha ganado popularidad en la comunidad científica de Python debido a su enfoque en la productividad y la facilidad de uso. Descubrirás qué es Spyder, para qué sirve y por qué debería ser tu elección para el desarrollo Python científico.
Examine your code with the static analyzer, trace its execution with the interactive debugger, and unleash its performance with the profiler. Keep things organized with project support and a built-in file explorer, and use find in files to search across entire projects with full regex support.
Spyder is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts.
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.
