pycodata: CODATA constants for python.

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
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

MIT License

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

This version

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

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-2.5.2.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-2.5.2-cp314-cp314-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.14Windows x86-64

pycodata-2.5.2-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-2.5.2-cp314-cp314-macosx_15_0_universal2.whl (4.2 MB view details)

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

pycodata-2.5.2-cp313-cp313-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.13Windows x86-64

pycodata-2.5.2-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-2.5.2-cp313-cp313-macosx_15_0_universal2.whl (4.2 MB view details)

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

pycodata-2.5.2-cp312-cp312-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.12Windows x86-64

pycodata-2.5.2-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-2.5.2-cp312-cp312-macosx_15_0_universal2.whl (4.2 MB view details)

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

pycodata-2.5.2-cp311-cp311-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.11Windows x86-64

pycodata-2.5.2-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-2.5.2-cp311-cp311-macosx_15_0_universal2.whl (4.2 MB view details)

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

pycodata-2.5.2-cp310-cp310-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.10Windows x86-64

pycodata-2.5.2-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-2.5.2-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-2.5.2.tar.gz.

File metadata

  • Download URL: pycodata-2.5.2.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-2.5.2.tar.gz
Algorithm Hash digest
SHA256 43da08a70001ad63f21645de700fab352810d9e709189572add0ec97ca500b6e
MD5 c0a7f36b37c5dc7b8c18734126eba731
BLAKE2b-256 dc9a46f71c607dfa35686ee17e92e019966074692af847b2ee37c95895f436c5

See more details on using hashes here.

File details

Details for the file pycodata-2.5.2-cp314-cp314-win_amd64.whl.

File metadata

  • Download URL: pycodata-2.5.2-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-2.5.2-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 18581adc237548451024023507c864e205e393ced0d6794181fbba0cccca971b
MD5 b95e3589789b2418dbaa8e0880b7cc34
BLAKE2b-256 65c88c0fbb012ee1f1e8a39ad0fc184388a381cf99d269dcfa53ccd088df41e5

See more details on using hashes here.

File details

Details for the file pycodata-2.5.2-cp314-cp314-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl.

File metadata

File hashes

Hashes for pycodata-2.5.2-cp314-cp314-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl
Algorithm Hash digest
SHA256 ac69078a54c687dad218d73c6d943e96f598d20e9f856aa5948fda953928c8fa
MD5 0352c60fab50432ccf02b82bdf8644cb
BLAKE2b-256 504c3d31817538093889b732549632471cef6dda240553ea878685558e497959

See more details on using hashes here.

File details

Details for the file pycodata-2.5.2-cp314-cp314-macosx_15_0_universal2.whl.

File metadata

File hashes

Hashes for pycodata-2.5.2-cp314-cp314-macosx_15_0_universal2.whl
Algorithm Hash digest
SHA256 1b1713dd49dcb5ee1916aeecc2df156750fc847fb5a25805f0446d7175691621
MD5 2a2175012c43c38ba5f4e0fa93dd1704
BLAKE2b-256 f04f6d1da29986a65840ecbb989261ba536896940a7debbad306abdf94ad92ac

See more details on using hashes here.

File details

Details for the file pycodata-2.5.2-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: pycodata-2.5.2-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-2.5.2-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 e7a790fa9204cbecadd1e26669ef69cd63200bd5a2f6aeb2b19e70350ba824c2
MD5 1e541a76313c49edc01e2a02336e7ce9
BLAKE2b-256 37c57a8fdcce4dd790626949f4c076f66af308e33c935bfbbef664b4ff06d405

See more details on using hashes here.

File details

Details for the file pycodata-2.5.2-cp313-cp313-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl.

File metadata

File hashes

Hashes for pycodata-2.5.2-cp313-cp313-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl
Algorithm Hash digest
SHA256 fadda44aa365f5569fec1445f0efa32dea02ea8f7e290322498e7319edebedb9
MD5 0f1422bd654b2936e46d824bcadc33b8
BLAKE2b-256 632f1ac3aa38e6f88b5ad8abf073863e92cf7333a6989962fa36090077e28dc1

See more details on using hashes here.

File details

Details for the file pycodata-2.5.2-cp313-cp313-macosx_15_0_universal2.whl.

File metadata

File hashes

Hashes for pycodata-2.5.2-cp313-cp313-macosx_15_0_universal2.whl
Algorithm Hash digest
SHA256 2f6988a4b91db206615a298a2484637a180de79407932d636d600cf70fd0d84a
MD5 5793af6bb41e9ba23b9a69ffeceb1f28
BLAKE2b-256 b228c0259ad7cf59d90f38cd959c16c9f67e40d70056ff33cb85105db238e16e

See more details on using hashes here.

File details

Details for the file pycodata-2.5.2-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pycodata-2.5.2-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-2.5.2-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 17f639e691ae61c43b7a0c898bb0f75faf6a96fc35450376f7edb431ce1e5cc7
MD5 335d5163fa0ef07802e339280c026970
BLAKE2b-256 b37ed740510e546af075f825e94fcdb7c6c6f85c83d9c2062028ae891f082da4

See more details on using hashes here.

File details

Details for the file pycodata-2.5.2-cp312-cp312-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl.

File metadata

File hashes

Hashes for pycodata-2.5.2-cp312-cp312-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl
Algorithm Hash digest
SHA256 3de491be7016db277bdfa1d9118a02b63f4e728f8098629604321396b2fb3fdc
MD5 068fe12e3340f3e8e011362998b29231
BLAKE2b-256 c365d7b96fbd56422ea2d7118fa23a7e087848f8c75b1d9a399a5b37605b6978

See more details on using hashes here.

File details

Details for the file pycodata-2.5.2-cp312-cp312-macosx_15_0_universal2.whl.

File metadata

File hashes

Hashes for pycodata-2.5.2-cp312-cp312-macosx_15_0_universal2.whl
Algorithm Hash digest
SHA256 bda8a342ff8e91bfe74ca437a911f2d07028f3095f344c65dbbd18076adcbaaa
MD5 bcd7752359b2e15c52735d22ad42c350
BLAKE2b-256 ee24dfa7f5e84b625028dd92465dc6c9b5bd35da1c9b6123a530ad1c10a78b55

See more details on using hashes here.

File details

Details for the file pycodata-2.5.2-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pycodata-2.5.2-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-2.5.2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 4babef23ed12a8bfb840669f2abbc68d304838eea9eed204187de548f86f73eb
MD5 2e0c97357834b793f86c4ebdd0a88209
BLAKE2b-256 09fbd043b7b7409abd308b9d29bd211573d4d373f2b2eabd13e9a117d8e57481

See more details on using hashes here.

File details

Details for the file pycodata-2.5.2-cp311-cp311-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl.

File metadata

File hashes

Hashes for pycodata-2.5.2-cp311-cp311-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl
Algorithm Hash digest
SHA256 de6779bea93ad44ab8b3b605927c9d0acb41d8fda06758c69f5d856daf5310c7
MD5 2428a92af2e6faa7357d51af04facf92
BLAKE2b-256 3fcbbacc0ab734272f672a84467b0e988f13e03cd0893300f213ca6aacf25a70

See more details on using hashes here.

File details

Details for the file pycodata-2.5.2-cp311-cp311-macosx_15_0_universal2.whl.

File metadata

File hashes

Hashes for pycodata-2.5.2-cp311-cp311-macosx_15_0_universal2.whl
Algorithm Hash digest
SHA256 b2905777fba037e867cf4f27e7381e6284b680eab11390d55b1863c4a8eae268
MD5 d92b774ebc3f3d01c27e9de2900a4fb1
BLAKE2b-256 4172e6a48e25dfd9c6278cc04db7e921fea7454f77bf40b84b91d622f63bcbfb

See more details on using hashes here.

File details

Details for the file pycodata-2.5.2-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pycodata-2.5.2-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-2.5.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 7040f1fc7d1d0bce10e470f0cfed4bdee4eb5591cc048e1d940253e3e080d68a
MD5 4a65c5958c0e627a90f10877928b8f34
BLAKE2b-256 1ab877c324713d51a472480f8583940914a4664308f375ad50267dc2a29b0ce5

See more details on using hashes here.

File details

Details for the file pycodata-2.5.2-cp310-cp310-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl.

File metadata

File hashes

Hashes for pycodata-2.5.2-cp310-cp310-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl
Algorithm Hash digest
SHA256 1c6042eeaf3493d1b63c7d8b7a0eb54191fcc2652fbf6c551bdf543dc022cf9a
MD5 0e246f64bf0a79eedd6c313d0c39c044
BLAKE2b-256 26c26881cf61fd93575bc25abdd324da18abaebe88623eb17091a33d597ac110

See more details on using hashes here.

File details

Details for the file pycodata-2.5.2-cp310-cp310-macosx_15_0_universal2.whl.

File metadata

File hashes

Hashes for pycodata-2.5.2-cp310-cp310-macosx_15_0_universal2.whl
Algorithm Hash digest
SHA256 2f3d3430e46f2624788408e58250f029b6bc0f933ee7277901ecb13b1c35e44e
MD5 390c411b75cfd87db4a74b29d59d893e
BLAKE2b-256 f9453a92cd94a3e51f5caedbd0d1dbd603e38d8f2a655a5af5f9dae18519215a

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