pycodata: CODATA constants for python.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mskocic from gravatar.com mskocic
Meta

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (License :: OSI Approved :: MIT License)
  • Requires: Python >=3.9
Classifiers
Report project as malware

Project description

Introduction

Python wrapper around the Fortran codata library. The Fortran library does not need to be installed, the python wrapper embeds all needed fortran dependencies for Windows and MacOS. On linux, you might have to install libgfortran if it is not distributed by default with your linux distribution.

Installation

In a terminal, enter:

pip install pycodata

License

MIT

Usage

The latest values (2022) do not have the year as a suffix in their name. Older values can be used and they feature the year as a suffix in their name.

The latest values are available at the top level and older values are available in dedicated modules.

Example in python.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mskocic from gravatar.com mskocic
Meta

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (License :: OSI Approved :: MIT License)
  • Requires: Python >=3.9
Classifiers

Release history Release notifications | RSS feed

2.5.2

2.5.1

2.5.0

2.4.1

2.4.0

2.4.0rc2 pre-release

2.4.0rc1 pre-release

2.3.1

2.3.0

2.2.0

2.1.1

This version

2.1.0

2.0.1

2.0.0

1.2.2

1.2.1

1.2.0

1.1.1

1.1.0 yanked

Reason this release was yanked:

Missing dll

1.1.0a0 pre-release

1.0.0

0.10.0

0.9.0

0.8.2

0.8.1

0.8.0

0.7.1

0.7.0

0.5.1

0.5.0

0.4.0

0.3.0

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

Download files

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

Source Distribution

pycodata-2.1.0.tar.gz (492.7 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

pycodata-2.1.0-cp313-cp313-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.13Windows x86-64

pycodata-2.1.0-cp313-cp313-manylinux_2_31_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.31+ x86-64

pycodata-2.1.0-cp312-cp312-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.12Windows x86-64

pycodata-2.1.0-cp312-cp312-manylinux_2_31_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.31+ x86-64

pycodata-2.1.0-cp311-cp311-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.11Windows x86-64

pycodata-2.1.0-cp311-cp311-manylinux_2_31_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.31+ x86-64

pycodata-2.1.0-cp310-cp310-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.10Windows x86-64

pycodata-2.1.0-cp310-cp310-manylinux_2_31_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.31+ x86-64

pycodata-2.1.0-cp39-cp39-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.9Windows x86-64

pycodata-2.1.0-cp39-cp39-manylinux_2_31_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.31+ x86-64

File details

Details for the file pycodata-2.1.0.tar.gz.

File metadata

  • Download URL: pycodata-2.1.0.tar.gz
  • Upload date:
  • Size: 492.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.4

File hashes

Hashes for pycodata-2.1.0.tar.gz
Algorithm Hash digest
SHA256 c344937aea420b656271b6e2c4f37f2087f236ef99a167b18003a24f578546b6
MD5 58a90cfb48ae57ef5a94eb5dd077f135
BLAKE2b-256 410acff701fa94f0217b7ca31ae930ee6516e3e11588d7994ad0a2399f02789c

See more details on using hashes here.

File details

Details for the file pycodata-2.1.0-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: pycodata-2.1.0-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for pycodata-2.1.0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 36be883df34e10052728a7f4447bed81eb4ceaa0aa7f70116c578c996daa729e
MD5 cf11034c61c9aec83192333fe2365a35
BLAKE2b-256 49dae9be7791749959da60302e9c074682357af6afdd88242610053be886dbdf

See more details on using hashes here.

File details

Details for the file pycodata-2.1.0-cp313-cp313-manylinux_2_31_x86_64.whl.

File metadata

File hashes

Hashes for pycodata-2.1.0-cp313-cp313-manylinux_2_31_x86_64.whl
Algorithm Hash digest
SHA256 af5cd5847a89a34ba32abd25ebe402181438fc2d5cbe7829dbe5fd863aa77c62
MD5 deec16010b6237a9cb147d929f41d83a
BLAKE2b-256 8cb669ab38ea65fa0f1e1848d02ffcaa0b517033eb03546c3048c816839fe84a

See more details on using hashes here.

File details

Details for the file pycodata-2.1.0-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pycodata-2.1.0-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for pycodata-2.1.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 6d0e80ef0022b72ec6227a2e9c53a3014c4e521911489ae30c2890dd13a3f835
MD5 ad1c32cfcf433f485d757d73f7770f0b
BLAKE2b-256 10856e97ed90afc8e65da50701e890d6f07fd14fce65c3b661c2dcb061b2cfb7

See more details on using hashes here.

File details

Details for the file pycodata-2.1.0-cp312-cp312-manylinux_2_31_x86_64.whl.

File metadata

File hashes

Hashes for pycodata-2.1.0-cp312-cp312-manylinux_2_31_x86_64.whl
Algorithm Hash digest
SHA256 3aeedac622474a59babb37bcbd9a4e59c16d6b688bc0b8631ca75c1ebf1a3592
MD5 b2bc0aaf174f3c3e01b31fe413b3f10e
BLAKE2b-256 43611a914f9b6946eee689a9f3cfb7de78619de229ff2da56f250899b88bb282

See more details on using hashes here.

File details

Details for the file pycodata-2.1.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pycodata-2.1.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for pycodata-2.1.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 5eff17929b0e4db37df366b2bd6a49f60cb965708a72aff8b755e44e42a1a366
MD5 cfe887654e7475d675769cdc04bea45b
BLAKE2b-256 e99a66163532f9572854c846f398227e2235990592f9203b2a19fd33680ffd33

See more details on using hashes here.

File details

Details for the file pycodata-2.1.0-cp311-cp311-manylinux_2_31_x86_64.whl.

File metadata

File hashes

Hashes for pycodata-2.1.0-cp311-cp311-manylinux_2_31_x86_64.whl
Algorithm Hash digest
SHA256 fcc4b1dc6acec48ebe490d6fb815d804e793d8d63730d0832720fb0397b69875
MD5 0451613399eecb0be78ff6da6ba0889b
BLAKE2b-256 d70a1f497504702f9bed13488a00a35f2ef4668f9fbbefb5d190811d87acff23

See more details on using hashes here.

File details

Details for the file pycodata-2.1.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pycodata-2.1.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for pycodata-2.1.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 4de2f33ba8888d489c3a4a2cfb100049276b2ef9488d243206fccbdf61ad7814
MD5 0ae39b87d567ef3731f5dc32868b37e0
BLAKE2b-256 82f9a624beecd3a08e5b53737ca7e518a3a73c6f10209250258728734a9e5f98

See more details on using hashes here.

File details

Details for the file pycodata-2.1.0-cp310-cp310-manylinux_2_31_x86_64.whl.

File metadata

File hashes

Hashes for pycodata-2.1.0-cp310-cp310-manylinux_2_31_x86_64.whl
Algorithm Hash digest
SHA256 300bf45b4c19cf93e3cb5f2cf4568c92014025444b03c8fb0a3590a72f86778c
MD5 19e3a2eea42b9c89b4962bc17561438c
BLAKE2b-256 9ca803a33b1a3cd31416ea44ce56404b2d3ca8e8a429fcb63c6c86abde7c7b5f

See more details on using hashes here.

File details

Details for the file pycodata-2.1.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pycodata-2.1.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for pycodata-2.1.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 1d47bc2e5965623f060c5b422db3493afa2adc7d3616575ed2486bd20a55855c
MD5 1e207c32e6c23cb1027857aed75a2094
BLAKE2b-256 869ec8ac5294400edd55bfcb697d95f3c421a0b2cdfd4bbdc1885b1cc98f4159

See more details on using hashes here.

File details

Details for the file pycodata-2.1.0-cp39-cp39-manylinux_2_31_x86_64.whl.

File metadata

File hashes

Hashes for pycodata-2.1.0-cp39-cp39-manylinux_2_31_x86_64.whl
Algorithm Hash digest
SHA256 b732bfb9d8cb57e32f94c592f3c5e0dd67c942c5ef92141e8355b0e76e081996
MD5 6aa76be98742d98b9463f6d9dca042b7
BLAKE2b-256 6a4df0f64ba29d4545da5ddddce8b5d89397dd8a7e694af422f3d0eca7bfeddc

See more details on using hashes here.

Supported by

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