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Many users on Windows do not have the MSVC C/C++ compiler installed, causing the compiled backend to break with cryptic error messages. It does not appear to be easy to distribute or otherwise provide users with this compiler. The best option may be to do some auto-detection or error checking for the build process, and then catch CalledProcessError and fall back to the interpreted backend (with a warning). We can provide instructions in the documentation for how to improve performance on Windows by installing MSVC, either the Python 2.7 compiler edition or the MSVC 2015 Community Edition on Python 3.5.
The text was updated successfully, but these errors were encountered:
There's scattered information suggesting installing mingw32 from Anaconda will work, but I have yet to test it. I also don't know if that's a solution for 64-bit Windows.
Closespycalphadgh-23.
- Adds a TinyDB bibliographic database and utilities to add a BibTeX entries to it
- bibtexparser is now a dependency
- Better handling of aliases in dataplot plot_kwargs (with a warning)
- Utility to read multiline strings from raw strings, file paths, or streams
Note that there is no functionality here to format the references based on the database, but this functionality could easily be added with some handling of the references by using a formatting function that takes a BibTeX dict.
Many users on Windows do not have the MSVC C/C++ compiler installed, causing the compiled backend to break with cryptic error messages. It does not appear to be easy to distribute or otherwise provide users with this compiler. The best option may be to do some auto-detection or error checking for the build process, and then catch
CalledProcessError
and fall back to the interpreted backend (with a warning). We can provide instructions in the documentation for how to improve performance on Windows by installing MSVC, either the Python 2.7 compiler edition or the MSVC 2015 Community Edition on Python 3.5.The text was updated successfully, but these errors were encountered: