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Python 3.4 compatibility with numpy, scipy, and matplotlib

I am very new to Python and am wondering what versions of numpy/scipy/matplotlib are compatible with different versions of Python--or to what degree it matters that they match up.

Right now I am using Python 3.4.3, numpy 1.8.2, scipy 0.13.3 and matplotlib 1.3.1. I saw on the scipy FAQ that "the first release of NumPy to support Python 3 was NumPy 1.5.0. Python 3 support in SciPy starts with version 0.9.0." But how should one know what versions of these modules are appropriate for python 3.4? Eg. I know that there is a scipy0.18, but will it potentially cause problems if attempt to use with python 3.4 and not 3.5? Sorry if this is a silly question, I just want to avoid having to uninstall/update different versions multiple times, which I already have done.

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uncreative Avatar asked Jun 05 '26 07:06

uncreative


1 Answers

I would recommend you to take a closer look at the Anaconda installation.

You will install all needed packages in one step and beside that all the packages will be mutually compatible and tested.

If you need packages that aren't included, you can simply install them using internal packaging tool - conda:

conda install package_name
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MaxU - stop WAR against UA Avatar answered Jun 06 '26 21:06

MaxU - stop WAR against UA



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