Bitbucket is a code hosting site with unlimited public and private repositories. We're also free for small teams!


README: TAO for Python

Author: Lisandro Dalcin
Organization: CIMEC <>
CCT CONICET, 3000 Santa Fe, Argentina

Thank you for downloading the TAO for Python project archive. As this is a work in progress, please check the project website for updates.

  • To build and install this package, you must meet the following requirements.
    • TAO 2.2 or 2.1, built with shared libraries.
    • PETSc 3.4 or 3.3, built with shared libraries.
    • Python 2.4 to 2.7 and 3.1 to 3.3.
    • NumPy package.
    • petsc4py package.
  • This package uses standard distutils. For detailed instructions about requirements and the building/install process, read the file docs/source/install.rst.

Recent activity

Tip: Filter by directory path e.g. /media app.js to search for public/media/app.js.
Tip: Use camelCasing e.g. ProjME to search for
Tip: Filter by extension type e.g. /repo .js to search for all .js files in the /repo directory.
Tip: Separate your search with spaces e.g. /ssh pom.xml to search for src/ssh/pom.xml.
Tip: Use ↑ and ↓ arrow keys to navigate and return to view the file.
Tip: You can also navigate files with Ctrl+j (next) and Ctrl+k (previous) and view the file with Ctrl+o.
Tip: You can also navigate files with Alt+j (next) and Alt+k (previous) and view the file with Alt+o.