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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. 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 ...

  5. 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 ...

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

  8. Overview. ¶. Spyder, the Scientific Python Development Environment, includes the following key features: Editor: Customizable syntax highlighting themes. Debugging breakpoints and conditional breakpoints (through ipdb integration) Interactive execution: Run line/selection, run cell, run file, re-run and debug. Run configuration settings:

  9. 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, and is our recommended installation method on Linux (and supported on the other platforms too). Running with Anaconda ¶.

  10. 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 ...

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