Abstract
This Appendix covers the installation and setup of a Python environment for scientific computing on commonly used platforms. As discussed in Chapter
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Notes
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Installers for all major platforms are available for download at http://www.python.org/downloads
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Miniconda is available in both 32- and 64-bit versions. Generally the 64-bit version is recommended for modern computers, but on Windows a 64-bit compiler might not always be readily available, so staying with the 32-bit version might better in some cases on this platform.
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On Windows, leave out source from these commands.
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However, there are recent efforts to create conda packages for the FEniCS libraries and their dependencies: http://fenicsproject.org/download/installation_using_conda.html . This is currently only available for Linux.
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For more information about software container solution Docker, see https://www.docker.com .
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© 2015 Robert Johansson
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Johansson, R. (2015). Installation. In: Numerical Python. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-0553-2_20
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DOI: https://doi.org/10.1007/978-1-4842-0553-2_20
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