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This project forked from pydata/numexpr
Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more
Home Page: https://github.com/pydata/numexpr/wiki/Numexpr-Users-Guide
License: MIT License
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numexpr's Issues
The AST compiler likes to return everything as default_type, which is double.
I believe this also wasn't working properly in the master branch, float32 was up-cast to float64 everywhere.
Installation from egg using
python setup.py install
Doesn't generate a config.py in Python 3.4.
Workaround is to copy from numexpr2.