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  1. Conda-based distributions¶. Spyder is included by default in the Anaconda Python distribution, which comes with everything you need to get started in an all-in-one package. It can also be easily installed in the much lighter-weight Miniconda and Miniforge/Mambaforge, which include just Python and the Conda/Mamba package and environment manager by default (with Miniforge defaulting to the ...

  2. To install Spyder’s optional dependencies as well for full functionality, use the following command instead: conda create -n spyder-env spyder=4 numpy scipy pandas matplotlib sympy cython. To install Spyder from Conda-Forge instead of the default Anaconda channel, add -c conda-forge at the end of either of the previous commands.

  3. docs.anaconda.com › anaconda › user-guideAnaconda Documentation

    Anaconda Documentation provides a detailed guide on how to integrate Spyder, a powerful IDE for scientific Python development, with Anaconda Distribution. You can learn how to launch, configure, and customize Spyder, as well as how to use its advanced features such as debugging, profiling, and variable exploration.

  4. To install Spyder’s optional dependencies as well for full functionality, use the following command instead: conda create -n spyder-env spyder=4 numpy scipy pandas matplotlib sympy cython. To install Spyder from Conda-Forge instead of the default Anaconda channel, add -c conda-forge at the end of either of the previous commands.

  5. 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. If you are looking for a summary of its features and interface ...

  6. 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:

  7. Spyder opens just like it does when launched from Anaconda Navigator. In your CLI, type jupyter-notebook and press Enter or return. Jupyter Notebook opens in a tab in your browser. You can run the same exercises in Run Python in Spyder and Run Python in a Jupyter Notebook after opening Spyder and Jupyter Notebook from your CLI.

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