Notice: While JavaScript is not essential for this website, your interaction with the content will be limited. Please turn JavaScript on for the full experience.
Python Success Stories Introduction Journyx Timesheet (tm) is a commercial application that provides time, expense, and project tracking. In 1996, Curt Finch, Journyx CEO and founder, was working in the staffing industry when he saw an opportunity to use the web to accurately collect and store employee timesheet information. Journyx Time Entry Screen Zoom in The first version of Timesheet focused on collecting accurate cost information, with an eye towards applying that data in the formul...
Python 2.4.1 - Release Notes (editors: check NEWS.help for information about editing NEWS using ReST.) What's New in Python 2.4.1 final? Release date: 30-MAR-2005 Core and builtins Move exception finalisation later in the shutdown process - this fixes the crash seen in bug #1165761 Tests SF patch 1167316: doctest.py fails self-test if run directly. Build SF patch 1171767: Darwin 8's headers are anal about POSIX compliance, and linking has changed (prebinding is now deprecated, and l...
Notes (editors: check NEWS.help for information about editing NEWS using ReST.) What's New in Python 2.3.5? Release date: 08-FEB-2005 Core and builtins Partially revert the fix for #1074011; don't try to fflush stdin anymore. Library Applied a security fix to SimpleXMLRPCserver (PSF-2005-001). This disables recursive traversal through instance attributes, which can be exploited in various ways. Bug #1114776. Applied a fix to the copy.py fix in 2.3.5rc1 to deal with types that don't hav...
...approximation of processor time used by the program. getrusage(RUSAGE_SELF) returns a structure of resource usage of the currenet process. ru_utime is user CPU time and ru_stime is the system CPU time. times(): structure of process times. The resolution is 1 / ticks_per_seconds, where ticks_per_seconds is sysconf(_SC_CLK_TCK) or the HZ constant. Python source code includes a portable library to get the process time (CPU time): Tools/pybench/systimes.py. See also the QueryProcessCycleTime() f...