Releases · pydata/numexpr

The maximum thread count can now be set at import-time by setting the
environment variable 'NUMEXPR_MAX_THREADS'. The default number of
max threads was lowered from 4096 (which was deemed excessive) to 64.
A number of imports were removed (pkg_resources) or made lazy (cpuinfo) in
order to speed load-times for downstream packages (such as pandas, sympy,
and tables). Import time has dropped from about 330 ms to 90 ms. Thanks to
Jason Sachs for pointing out the source of the slow-down.
Thanks to Alvaro Lopez Ortega for updates to benchmarks to be compatible with
Python 3.
Travis and AppVeyor now fail if the test module fails or errors.
Thanks to Mahdi Ben Jelloul for a patch that removed a bug where constants
in where calls would raise a ValueError.
Fixed a bug whereby all-constant power operations would lead to infinite
recursion.

Changes from 2.6.1 to 2.6.2

Updates to keep with API changes in newer NumPy versions (#228).
Thanks to Oleksandr Pavlyk.

Removed several warnings (#226 and #227). Thanks to Oleksander Pavlyk.

Fix bugs in function stringcontains() (#230). Thanks to Alexander Shadchin.

Detection of the POWER processor (#232). Thanks to Breno Leitao.

Fix pow result casting (#235). Thanks to Fernando Seiti Furusato.

Fix integers to negative integer powers (#240). Thanks to Antonio Valentino.

Detect numpy exceptions in expression evaluation (#240). Thanks to Antonio Valentino.

Better handling of RC versions (#243). Thanks to Antonio Valentino.

Provide feedback