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  1. anaconda.org › anaconda › spyder:: Anaconda.org

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  2. 8 de jun. de 2023 · Carlos Córdoba. 2023-06-08. Spyder has received a two-year grant from the Chan Zuckerberg Initiative to add remote development capabilities to our beloved IDE. This means you'll be able to easily take advantage of the vast resources offered by HPC clusters or the cloud to execute your code, while working from the comfort of your personal computer.

  3. Updating a standalone install¶. By default, Spyder checks for updates automatically on startup, and you can also check manually with Help ‣ Check for updates.The standalone installers for Spyder 5.4.0+ include update functionality built right into Spyder, which after checking for updates will display a prompt to automatically download and install the current version.

  4. 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 ...

  5. Welcome to our Quickstart! Here you will find an interactive tour that will guide you through Spyder’s interface. You’ll get familiar with the most important parts of the IDE, especially those we’ll be mentioning throughout our docs. Finally, you’ll get to walk through some of Spyder’s key panes and functionality. Welcome to Spyder ...

  6. Spyder# Spyder, the Scientific Python Development Environment, is a free integrated development environment (IDE) that is included with Anaconda. It includes editing, interactive testing, debugging, and introspection features. After you have installed Anaconda, start Spyder on Windows, macOS, or Linux by running the command spyder.

  7. Spyder is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language.Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software. It is released under the MIT license.

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