Spyder is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. Os x adobe spaces helper. 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, and beautiful visualization capabilities of a scientific package.

Beyond its many built-in features, its abilities can be extended even further via its plugin system and API. Furthermore, Spyder can also be used as a PyQt5 extension library, allowing developers to build upon its functionality and embed its components, such as the interactive console, in their own PyQt software. The easy way to get up and running with Spyder on any of our supported platforms is to download it as part of the, and use the conda package and environment manager to keep it and your other packages installed and up to date.

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We recommend the latest 64-bit Python 3 version, unless you have specific requirements that dictate otherwise. For more advanced users who want a detailed guide to many different methods of obtaining Spyder, please refer to our full. However, these approaches are generally intended for experienced users only, so we recommend sticking with Anaconda unless you know exactly what you are doing on your own.

If you’re using Python 2.7.9 (or greater) or Python 3.4 (or greater), then PIP comes installed with Python by default. If you’re using an older version of Python, you’ll need to use the installation steps below. The official home of the Python Programming Language.