* More permissive rules in sanitizing regular expression: allow to
access digits after the . with scientific notation.
* Don't reject double underscores that are not at the start or end of
a variable name (pandas uses those), or scientific-notation numbers
with digits after the decimal point.
* Do not use numpy.alltrue in the test suite, as it has been
deprecated (replaced by numpy.all).
* Python 3.12 support
* Thanks to Kirill Kouzoubov for a range of fixes to constants parsing that was
* Thanks to Mark Harfouche for noticing that we no longer need `numpy` version
- skip python3.6 build (no numpy)
- python3 package added
* Fixed several issues with different platforms not supporting
* Now, when trying to use pure Python boolean operators, 'and',
'or' and 'not, an error is issued and suggesting that '&', '|'
- fix requiements for SLE 11
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numexpr?expand=0&rev=29
* Support for Python 3.11 has been added.
* Thanks to Tobias Hangleiter for an improved accuracy complex `expm1` function.
While it is 25 % slower, it is significantly more accurate for the real component
over a range of values and matches NumPy outputs much more closely.
* Thanks to Kirill Kouzoubov for a range of fixes to constants parsing that was
resulting in duplicated constants of the same value.
* Thanks to Mark Harfouche for noticing that we no longer need `numpy` version
checks. `packaging` is no longer a requirement as a result.
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numexpr?expand=0&rev=23
I intend to submit python-pandas to openSUSE:Factory. python-pandas is a tool that makes it easy to do complex data import, export, and manipulation. It has become one of the critical tools for data analysis in python, like python-numpy, python-scipy, python-matplotlib, and IPython (all of which are in openSUSE:Factory).
This is a dependency of python-pandas.
This package is also useful on its own for greatly increasing the speed of python-numpy operations. (I know I said the same thing about python-Bottleneck, both accelerate different types of numpy operations in different ways, that is why they are both used here).
OBS-URL: https://build.opensuse.org/request/show/241241
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-numexpr?expand=0&rev=1