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  1. Overview. 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 ...

  2. The standalone installers are our recommended method for most users on Windows and macOS, with experimental Linux support under active development. They work like any other IDE, where Spyder can be installed and updated independently of the Python environments you use to run your code.

  3. The requirements to run Spyder are: Python 2.7 or >=3.3. PyQt5 >=5.5. Qtconsole >=4.2.0 – for an enhanced Python interpreter. Rope >=0.9.4 and Jedi >=0.9.0 – for code completion, go-to-definition and calltips in the Editor. Pyflakes – for real-time code analysis. Sphinx – for the Help pane rich text mode and to get our documentation.

  4. pypi.org › project › spyderspyder · PyPI

    9 de abr. de 2024 · Spyder is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It offers 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 ...

  5. 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 ...

  6. 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 ...

  7. 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 Spyders Variable Explorer. Get documentation in the Help pane in two different ways. First steps with Spyder - Part 2: Learning the basics. Watch on. Transcript.

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