Skip to main content

Seamless Numpy-UBlas interoperability

Project description

PyUblas provides a seamless glue layer between Numpy and Boost.Ublas for use with Boost.Python.

What does that mean? When writing hybrid scientific code, one of the main problems is that abstractions that exist in the high-level language go away or become unwieldy in the low-level language. Sometimes libraries exist in both languages for these abstractions, but they refuse to talk to each other. PyUblas is a bridge between two such libraries, for some of the main abstractions used in scientific codes, namely vectors and matrices.

Documentation

See the PyUblas Documentation page.

PyUblasExt

PyUblasExt is a companion to PyUblas and exposes a variety of useful additions to PyUblas, such as an “operator” class, matrix-free linear system solvers and eigensolvers. Interested? Head over to the PyUblasExt page.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

PyUblas-2013.1.tar.gz (55.3 kB view details)

Uploaded Source

File details

Details for the file PyUblas-2013.1.tar.gz.

File metadata

  • Download URL: PyUblas-2013.1.tar.gz
  • Upload date:
  • Size: 55.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for PyUblas-2013.1.tar.gz
Algorithm Hash digest
SHA256 0f19d246daf44231a08ee1fb10aa42853389f2f72e3b2dec2db19ee23b182a87
MD5 67f686740ea0dae253d7bbb3c5ac17bc
BLAKE2b-256 e70b69855098adbf458f7a2aa6a1236cec97c8df881132aefd767fc006323357

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page