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  1. Spyder, the Scientific Python Development Environment, includes the following key features: Provides documentation or source code for any Python object (class, function, module…) Much more…. Beyond its many built-in features, Spyder’s abilities can be extended even further via its plugin system and API. Spyder can also be used as a PyQt5 ...

  2. Editor. ¶. Spyder’s multi-language Editor pane is the key element of the IDE, where you can create, open, and modify source files. The Editor offers a variety of core features, such as autocompletion, real-time analysis, syntax highlighting, horizontal and vertical splitting, and much more. In addition, it integrates a number of powerful ...

  3. or on Windows: python -m venv spyder-env. spyder-env\Scripts\activate.bat. After activating your environment, to install Spyder and its optional dependencies, run: pip install spyder numpy scipy pandas matplotlib sympy cython. Or for a minimal installation, run: pip install spyder.

  4. Spyder is a powerful 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, deep inspection, and beautiful visualization capabilities of a scientific package.

  5. 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 ...

  6. Spyder Terminal¶. Spyder-terminal is a plugin that allows you to have integrated system terminals inside Spyder.. Spyder-terminal allows you to use any system shell installed in your system (e.g. Bash, Zsh or Powershell) rather than just the IPython console.

  7. Dec 3, 2021 · Start a Python interpreter there by running the command python. Run the following command inside the Python interpreter: import sys; sys. executable. Start Spyder and run the same command shown in Step 3 in a Console. If the resulting paths are the same, then Spyder and the package are in the same environment, and import foo shouldn't produce ...

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