numerical-collection-py
A collection of algorithms in numerical analysis for Python (originally implemented in C++).
Repositories
- Main in GitLab: https://gitlab.com/MusicScience37Projects/numerical-analysis/numerical-collection-py
Documentation
Metadata
Release files for numerical-collection-py 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| numerical-collection-py-0.2.0.tar.gz | 20.9 kB | Without provenance | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| numerical_collection_py-0.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.11 | CPython 3.11 | Linux glibc 2.17+ x86-64 | Details |
| numerical_collection_py-0.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.10 | CPython 3.10 | Linux glibc 2.17+ x86-64 | Details |
Total release size: 1.1 MB
Release files / numerical-collection-py-0.2.0.tar.gz
| Download URL | numerical-collection-py-0.2.0.tar.gz |
|---|---|
| Size | 20.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e26ff1bb91c599bff933f21d8afb65e1d5d094de8d44fda126a59ec6b2158299
|
|
BLAKE2b-256 checksum How to use checksums |
2b17d589c1c105094e33f0cb090b5306ce21125be236d60d718bdec85c5d891e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.6
|
Release files / numerical_collection_py-0.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | numerical_collection_py-0.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 520.6 kB |
| Tags | CPython 3.11 Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
e0fdc2644573cb8773ae1e2064aee040cc535dd450155cbc17e4e6c68831d025
|
|
BLAKE2b-256 checksum How to use checksums |
f7ee99295adccf2538087d0a09045cf43fac45b3fffdaedf2c128fa64e2902c6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.6
|
Release files / numerical_collection_py-0.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | numerical_collection_py-0.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 520.6 kB |
| Tags | CPython 3.10 Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
29d7b8fc32f7b9c752c6ef290ce64214dfb6be82fef5badbb0c76b6889554940
|
|
BLAKE2b-256 checksum How to use checksums |
965e55d9540010aaa4c39235574363b782d77be97aa589a0a1e8dd63783e104c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.6
|
Security for numerical-collection-py 0.2.0
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.