Content tagged with #Python

This page lists available online tutorials related to parallel programming and using LC's HPC systems. NOTE: archive tutorials are no longer updated and may contain broken links and other QA issues.

Site packages for the following Python versions: 2.6, 2.7.1, 2.7.3, 2.7.7, 2.7.10, 3.1.3, 3.2, 3.4.2, 3.5.1.

Our Development Environment Software consists of compilers and preprocessors, debugging software, memory-related software, profiling tools, tracing tools, and performance analysis tools.

UPDATE: This page is largely deprecated.
In conjunction with our Python user community, Livermore Computing (LC) maintains Python and a set of site-specific packages (modules) on all production CHAOS systems. The information herein, which includes the supported versions of Python and site-packages, the description of each site-package, and Python development techniques, will be useful in using Python under LC environments.

Useful introductory information on LC's software environment is presented in the Software and Development Environment section of the Introduction to Livermore Computing Resources, or the Linux Clusters Overview for system-specific information.

This page contains instructions for Python script debugging using pdb.

This page contains instructions for Python debugging with TotalView, pdb, and the Pydev Eclipse IDE.