Skip to main content

pycodata: CODATA constants for python.

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

MIT License

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

pycodata-2.5.1.tar.gz (5.8 MB view details)

Uploaded Source

Built Distributions

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

pycodata-2.5.1-cp314-cp314-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.14Windows x86-64

pycodata-2.5.1-cp314-cp314-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl (2.5 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.34+ x86-64manylinux: glibc 2.35+ x86-64

pycodata-2.5.1-cp314-cp314-macosx_15_0_universal2.whl (4.2 MB view details)

Uploaded CPython 3.14macOS 15.0+ universal2 (ARM64, x86-64)

pycodata-2.5.1-cp313-cp313-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.13Windows x86-64

pycodata-2.5.1-cp313-cp313-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl (2.5 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.34+ x86-64manylinux: glibc 2.35+ x86-64

pycodata-2.5.1-cp313-cp313-macosx_15_0_universal2.whl (4.2 MB view details)

Uploaded CPython 3.13macOS 15.0+ universal2 (ARM64, x86-64)

pycodata-2.5.1-cp312-cp312-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.12Windows x86-64

pycodata-2.5.1-cp312-cp312-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl (2.5 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.34+ x86-64manylinux: glibc 2.35+ x86-64

pycodata-2.5.1-cp312-cp312-macosx_15_0_universal2.whl (4.2 MB view details)

Uploaded CPython 3.12macOS 15.0+ universal2 (ARM64, x86-64)

pycodata-2.5.1-cp311-cp311-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.11Windows x86-64

pycodata-2.5.1-cp311-cp311-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl (2.5 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.34+ x86-64manylinux: glibc 2.35+ x86-64

pycodata-2.5.1-cp311-cp311-macosx_15_0_universal2.whl (4.2 MB view details)

Uploaded CPython 3.11macOS 15.0+ universal2 (ARM64, x86-64)

pycodata-2.5.1-cp310-cp310-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.10Windows x86-64

pycodata-2.5.1-cp310-cp310-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl (2.5 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.34+ x86-64manylinux: glibc 2.35+ x86-64

pycodata-2.5.1-cp310-cp310-macosx_15_0_universal2.whl (4.2 MB view details)

Uploaded CPython 3.10macOS 15.0+ universal2 (ARM64, x86-64)

File details

Details for the file pycodata-2.5.1.tar.gz.

File metadata

  • Download URL: pycodata-2.5.1.tar.gz
  • Upload date:
  • Size: 5.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for pycodata-2.5.1.tar.gz
Algorithm Hash digest
SHA256 34af236da81bd40e0ae4b94519418d49defd4082ea09bc1bda0351d43bae7705
MD5 ee3b44733e45467c375d56ce227d194e
BLAKE2b-256 ddb566e36149b12c1ea4edcecf3ced6f21e4ed872b8ff2512a3d4fb2cceefdf2

See more details on using hashes here.

File details

Details for the file pycodata-2.5.1-cp314-cp314-win_amd64.whl.

File metadata

  • Download URL: pycodata-2.5.1-cp314-cp314-win_amd64.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: CPython 3.14, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for pycodata-2.5.1-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 e9611a3e8e94dc9d35da628c585dc06460670c4d00f3c4b1af03354ef0977998
MD5 547bb52e6244a841406f03eb687f80e6
BLAKE2b-256 8512fba089afb17f80463ce862a9d2f4d78cd508f4c02cef4705298758a85e68

See more details on using hashes here.

File details

Details for the file pycodata-2.5.1-cp314-cp314-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl.

File metadata

File hashes

Hashes for pycodata-2.5.1-cp314-cp314-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl
Algorithm Hash digest
SHA256 fd782b8811b59154f6fdecb46bc0c0d833b94041ca8b4981632d5ee7df406af5
MD5 31657afbfdbb38344f686104b92b3a41
BLAKE2b-256 54f7f5976e4b782cfaa5c49d3dfcccdd805908e2a05e71ea0edfba7b4d38f85e

See more details on using hashes here.

File details

Details for the file pycodata-2.5.1-cp314-cp314-macosx_15_0_universal2.whl.

File metadata

File hashes

Hashes for pycodata-2.5.1-cp314-cp314-macosx_15_0_universal2.whl
Algorithm Hash digest
SHA256 d1758fe32df81845ef58b5d23a5759be9e60e3dbe8bf95a1ea9566d0e9e480e4
MD5 b1d46800f5fb6155eae302ded6f84b12
BLAKE2b-256 e0d4d6dd77d8504f2a35425ef907d6f6a44b4fdc48a4b72e8a9dcd51fdc6e772

See more details on using hashes here.

File details

Details for the file pycodata-2.5.1-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: pycodata-2.5.1-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/6.2.0 CPython/3.13.5

File hashes

Hashes for pycodata-2.5.1-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 dab13e35c3c3c9284d6f34bef858b49ed782e3458da4390d9a9ca5b071d33d6f
MD5 40f3b75bc41c8bde6f5b046ace0eb5ba
BLAKE2b-256 686a5c173b237f6dba2c0659a3025b6d34d663fd209fa4bd7e3fd1cfdec33bb4

See more details on using hashes here.

File details

Details for the file pycodata-2.5.1-cp313-cp313-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl.

File metadata

File hashes

Hashes for pycodata-2.5.1-cp313-cp313-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl
Algorithm Hash digest
SHA256 22755e7bfc2609f745449c0f4a91c352215b7cd2aa717e8e0f466e44127f5dc2
MD5 97fd850ca6382f70ac6b90570a67817a
BLAKE2b-256 38e72038441d8a437a4beb9058477fa6b0034975e58da7eb08146244fd66856d

See more details on using hashes here.

File details

Details for the file pycodata-2.5.1-cp313-cp313-macosx_15_0_universal2.whl.

File metadata

File hashes

Hashes for pycodata-2.5.1-cp313-cp313-macosx_15_0_universal2.whl
Algorithm Hash digest
SHA256 cd810407db9a1b23b23969c4e5275ea8f814404dc58e881ed21cf1dd969c4728
MD5 5b8c6fbc35766e3d0e168339367124cf
BLAKE2b-256 1f55a05f6f3f405a7aeee6fb5d03c244238552b5035b3b3ffe0406a6d807ebba

See more details on using hashes here.

File details

Details for the file pycodata-2.5.1-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pycodata-2.5.1-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/6.2.0 CPython/3.13.5

File hashes

Hashes for pycodata-2.5.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 3d560bb4b8233eb5f4fd962d37fd89329d18fd1178e5f6097cf88d4be2a13be7
MD5 d0b3306636d41c365e18b2894efeffad
BLAKE2b-256 3b3087188af32d07782ca7848b75d6c26f2d29c5a4d3f58ec6cd0e230c0a9368

See more details on using hashes here.

File details

Details for the file pycodata-2.5.1-cp312-cp312-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl.

File metadata

File hashes

Hashes for pycodata-2.5.1-cp312-cp312-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl
Algorithm Hash digest
SHA256 eaa5e9369e12a3497f04d373ab9be189087790ffb4fa6f2148683126fda449ce
MD5 5cec420f127da43b6e7ca2f8c6ebc241
BLAKE2b-256 c924d906ea8bf581470588c7662026db39d635870efc11d26dd2f2ea736b6bdd

See more details on using hashes here.

File details

Details for the file pycodata-2.5.1-cp312-cp312-macosx_15_0_universal2.whl.

File metadata

File hashes

Hashes for pycodata-2.5.1-cp312-cp312-macosx_15_0_universal2.whl
Algorithm Hash digest
SHA256 830464d97d24ebabaff99bb1c733fcfb33d41bb1f8e8655aec8c9ac9edc1b2e7
MD5 0483b9ad29899208c28ab113b7b2a576
BLAKE2b-256 a54744320ca520bbed2d02014e1c33f937c47f034163296bfc9745831a2f1dc5

See more details on using hashes here.

File details

Details for the file pycodata-2.5.1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pycodata-2.5.1-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/6.2.0 CPython/3.13.5

File hashes

Hashes for pycodata-2.5.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 75210569d952b98096be6a7bbc7f975f024bfa1c060c3857775781e6bc20abfa
MD5 4d9e56b13a2c20f786116ba038682d83
BLAKE2b-256 505a405b276b52c0cf7a3e8797d0eb938ebf3067f462f71b9ef5f8cbcf8f0f85

See more details on using hashes here.

File details

Details for the file pycodata-2.5.1-cp311-cp311-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl.

File metadata

File hashes

Hashes for pycodata-2.5.1-cp311-cp311-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl
Algorithm Hash digest
SHA256 fbb3aee75b8eecf0ecf9211ce08e17281687a090e672d7d2ca51e56e29962199
MD5 d2b6907db2aa9985c8b8de7bce79f8e1
BLAKE2b-256 c2cdc296938610c20774e6247f6619ea74ac695d07b95a4d1cb489fc828772aa

See more details on using hashes here.

File details

Details for the file pycodata-2.5.1-cp311-cp311-macosx_15_0_universal2.whl.

File metadata

File hashes

Hashes for pycodata-2.5.1-cp311-cp311-macosx_15_0_universal2.whl
Algorithm Hash digest
SHA256 4ca332295e9d1db879b7311e9ec3fd9d31e3125a42175a68b00d37f18b45c2e7
MD5 8ebb1a7d00097e332a3171fd286358f3
BLAKE2b-256 247e317c15b61d90b230d05fb1e0c8ebaa825a3c40b365846f4812861ef928af

See more details on using hashes here.

File details

Details for the file pycodata-2.5.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pycodata-2.5.1-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/6.2.0 CPython/3.13.5

File hashes

Hashes for pycodata-2.5.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 ebf46661f25bcb087d6d43bdf4603d6612eb24dafc8c155817fdbe65fe13a11e
MD5 22ef59e1130077426bf36cfbaeeddca8
BLAKE2b-256 477661fa359d2e444be4b7c2d0e5231e48244b6cdfc170d1b41a2dc230176dcf

See more details on using hashes here.

File details

Details for the file pycodata-2.5.1-cp310-cp310-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl.

File metadata

File hashes

Hashes for pycodata-2.5.1-cp310-cp310-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl
Algorithm Hash digest
SHA256 837e3745dabb56b1554568401c6c511ba58d1c405bcd66c63d867e229fbf99e2
MD5 7a9293dce2736e6cd959ee6156d96b6f
BLAKE2b-256 f7faae574c56aee18c169f7610d9e49ad06dfe095b28be132ecb63f537e62647

See more details on using hashes here.

File details

Details for the file pycodata-2.5.1-cp310-cp310-macosx_15_0_universal2.whl.

File metadata

File hashes

Hashes for pycodata-2.5.1-cp310-cp310-macosx_15_0_universal2.whl
Algorithm Hash digest
SHA256 85277c85d80675a312169641973fcb7f2e3ec8b8a5760a853dcbc6080ec75812
MD5 1a26bbd453440b492f669771938aff5d
BLAKE2b-256 de99cac42d09abbff869a9ba0bc82ac7c23f1be555489da3ddd679862ef8f336

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