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  1. 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.

  2. Spyder’s debugger offers syntax highlighting, code completion and command history, which work exactly like they do in the normal interactive interpreter. Use the up and down arrows to recall previous commands, and press Tab to trigger autocomplete suggestions. Furthermore, IPython’s magic functions are available in debugging mode.

  3. 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 ...

  4. 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 ...

  5. Spyder’s debugger offers syntax highlighting, code completion and command history, which work exactly like they do in the normal interactive interpreter. Use the up and down arrows to recall previous commands, and press Tab to trigger autocomplete suggestions. Furthermore, IPython’s magic functions are available in debugging mode.

  6. Help¶. You can use the Help pane to find, render and display rich documentation for any object with a docstring, including modules, classes, functions and methods. This allows you to access documentation easily directly from Spyder, without having to interrupt your workflow. You can also access Spyder’s tutorial from here, which will guide you through some basic steps for using its key ...

  7. 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 ...

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