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Spyder is a free and open source scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts.
To create an Anaconda Environment with Python 3.7 is easy by using: conda create --name py37 python=3.7. or: conda create --name py370 python=3.7.0 --channel conda-forge. However starting Spyder in this environment will throw it back to Python 3.6.
Note: The release you are looking at is Python 3.7.0, the initial feature release for the legacy 3.7 series which has now reached end-of-life and is no longer supported. See the downloads page for currently supported versions of Python. The final source-only security fix release for 3.7 was 3.7.17.
Installation procedure ¶. You can install Spyder with the pip package manager, which comes by default with most Python installations. Before installing Spyder itself by this method, you need to acquire the Python programming language. Then, to install Spyder and its other dependencies, run pip install spyder .
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 ...
Spyder is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts.
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.
