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  1. 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 ...

  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. Learn the basics of using Spyder’s four main panes. Open and edit a file in Spyder’s Editor. Run a script in the Editor and see the output in Spyder’s IPython Console. Execute basic Python commands in the IPython Console. Define variables in the Editor and modify their values in the IPython Console. View and interact with the variables in ...

  4. If you want to use other packages in Spyder that don’t come with our installer, you need to have your own Python distribution installed; we recommend Miniconda or another Conda-based option. For Spyder to recognize it automatically, you should use a Conda-based distribution with its default install path.

  5. This installs all of Spyder’s dependencies into the environment along with the stable/packaged version of Spyder, and then removes Spyder itself. Note Following the separation in v3.3 of Spyder’s console code into its own package, spyder-kernels , you’ll need to have the corresponding version of it available— 0.x for Spyder 3 ( 3.x branch), and 1.x for Spyder 4 ( master branch).

  6. 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 ...

  7. Spyder (software) 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.

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