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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 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, and beautiful visualization capabilities of a ...
Spyder works on modern versions of Windows, macOS and Linux (see the table below for recommended versions) via Anaconda, as well as other methods. It typically uses relatively minimal CPU when idle, and 0.5 GB - 1 GB of RAM, depending on how long you’ve been using it and how many files, projects, panes and consoles you have open.
For Spyder to recognize it automatically, you should use a Conda-based distribution with its default install path. Create a new conda environment containing spyder-kernels and the packages that you want to use. For example, if you want to use scikit-learn, open your terminal (or Anaconda prompt on Windows) and run the following command:
Qué es Anaconda y cómo usar Python. Anaconda es un software gratuito que nos permite el manejo de programas en R y Python de forma sencilla. Hablando en cristiano, lo instalamos y con esto ya podemos usar Python y R. Además, con esto es muy simple crear entornos virtuales e instalar los programas más utilizados para los proyectos de ciencia de datos, como pueden ser Spyder, Pycharm o ...
If you don’t have Spyder installed and would like to follow along, you can download it here. The easiest way to open Spyder is by opening Anaconda Navigator and clicking on the Spyder application. In case you have an older version of Spyder in Anaconda, open the command line (or the Anaconda Prompt in the case of Windows) and type the commands:
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