Skip to main content

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.

Metadata

Release files for PyUblas 2017.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for PyUblas 2017.1
File Size Uploaded Provenance Actions
PyUblas-2017.1.tar.gz 51.0 kB Without provenance Details for PyUblas-2017.1.tar.gz

Release files / PyUblas-2017.1.tar.gz

Download URL PyUblas-2017.1.tar.gz
Size 51.0 kB
Tags Source
SHA-256 checksum
How to use checksums
d12861769ac8eca832f08599702c4619d78b0be016870d26815ca3a7b4339c1e
BLAKE2b-256 checksum
How to use checksums
9d84d263d702cae73e0cabb83309825dcd32cd319f30b749cfc110265d6b1513
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Security for PyUblas 2017.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page