Python bindings for the W programming language

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for KJ002 from gravatar.com KJ002

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers
Report project as malware

Project description

WCore - Python

Python bindings for the W programming language.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for KJ002 from gravatar.com KJ002

Unverified details

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

Release history Release notifications | RSS feed

This version

0.5.1

0.4.4

0.4.0

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

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

wcore_py-0.5.1-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.whl (687.0 kB view details)

Uploaded PyPymanylinux: glibc 2.5+ x86-64

wcore_py-0.5.1-cp310-none-win_amd64.whl (587.1 kB view details)

Uploaded CPython 3.10Windows x86-64

wcore_py-0.5.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.whl (686.7 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.5+ x86-64

wcore_py-0.5.1-cp310-cp310-macosx_10_7_x86_64.whl (619.4 kB view details)

Uploaded CPython 3.10macOS 10.7+ x86-64

wcore_py-0.5.1-cp39-none-win_amd64.whl (587.1 kB view details)

Uploaded CPython 3.9Windows x86-64

wcore_py-0.5.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl (686.7 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.5+ x86-64

wcore_py-0.5.1-cp39-cp39-macosx_10_7_x86_64.whl (619.4 kB view details)

Uploaded CPython 3.9macOS 10.7+ x86-64

wcore_py-0.5.1-cp38-none-win_amd64.whl (587.0 kB view details)

Uploaded CPython 3.8Windows x86-64

wcore_py-0.5.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl (686.5 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.5+ x86-64

wcore_py-0.5.1-cp38-cp38-macosx_10_7_x86_64.whl (619.4 kB view details)

Uploaded CPython 3.8macOS 10.7+ x86-64

wcore_py-0.5.1-cp37-none-win_amd64.whl (587.1 kB view details)

Uploaded CPython 3.7Windows x86-64

wcore_py-0.5.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (686.6 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.5+ x86-64

wcore_py-0.5.1-cp37-cp37m-macosx_10_7_x86_64.whl (619.3 kB view details)

Uploaded CPython 3.7mmacOS 10.7+ x86-64

wcore_py-0.5.1-cp36-none-win_amd64.whl (587.1 kB view details)

Uploaded CPython 3.6Windows x86-64

wcore_py-0.5.1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (687.0 kB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.5+ x86-64

wcore_py-0.5.1-cp36-cp36m-macosx_10_7_x86_64.whl (619.7 kB view details)

Uploaded CPython 3.6mmacOS 10.7+ x86-64

File details

Details for the file wcore_py-0.5.1-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for wcore_py-0.5.1-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 ad18145e2b146275612bfd5aaa5910524da04cfbef46d7b291cb746555af9eef
MD5 bbb498faa5d3c5e77b9ff6c1aa20665e
BLAKE2b-256 6ca0bda3750320cdda9b0606f8c74b42c2ca1376f209512218211a49968ff199

See more details on using hashes here.

File details

Details for the file wcore_py-0.5.1-cp310-none-win_amd64.whl.

File metadata

  • Download URL: wcore_py-0.5.1-cp310-none-win_amd64.whl
  • Upload date:
  • Size: 587.1 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for wcore_py-0.5.1-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 a30b0319063e8b1398e997c2bedbb10d721bc7fa22dc42fca255c37d873bae37
MD5 ea4f30c86de69d35ed5d20b7fa20ea25
BLAKE2b-256 1fa7fa6060678ba45cf1c9a2291f1499d86381e2e9a657f29eb8c466c00c8c89

See more details on using hashes here.

File details

Details for the file wcore_py-0.5.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for wcore_py-0.5.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 ac52f186a1b3611a1a0bfbf841a77342edf8b958cdb53ec986609e91c4d0549a
MD5 6273aaf8680119f392eba8bff645c9e8
BLAKE2b-256 66f723182beb9ca9f545eab361147eb1c266a8f2c9eafb0c844e3c3eb0e09360

See more details on using hashes here.

File details

Details for the file wcore_py-0.5.1-cp310-cp310-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for wcore_py-0.5.1-cp310-cp310-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 92b9f7560282f72f8d12c81bb40a1b2e14157ac7e601ab79f2df7385216e98db
MD5 5c7caf1ba580e9b8f46a46808d7a4667
BLAKE2b-256 52d6cac8e5d331f4234ee0963f4b0947623fc6c7df00b1095b4ecb8302b595d7

See more details on using hashes here.

File details

Details for the file wcore_py-0.5.1-cp39-none-win_amd64.whl.

File metadata

  • Download URL: wcore_py-0.5.1-cp39-none-win_amd64.whl
  • Upload date:
  • Size: 587.1 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for wcore_py-0.5.1-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 b8fa8e4469e3e363717294f6fc5edd06710a4bab397cc90c4d9e7e54fcae6eea
MD5 c1b711c979f17cff21e716eab15b995b
BLAKE2b-256 1e9623ef6a000b7a69971e7ff699dabbd361885b72d5ea63906f0b3eb293205b

See more details on using hashes here.

File details

Details for the file wcore_py-0.5.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for wcore_py-0.5.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 89bf1bad99a1218f8bbdb9aa99b8e43b6c3cee405effe71d5f60bb38f9e368f6
MD5 ac7bd3003479cae0490ca8b13f5487a2
BLAKE2b-256 daf969784c7ef14f978498d3a57b4c871b89a6f37c34f29ee688ec4a63a34e49

See more details on using hashes here.

File details

Details for the file wcore_py-0.5.1-cp39-cp39-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for wcore_py-0.5.1-cp39-cp39-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 155eb391727976f2fc37e681f8131366e658a92f6073b51786cd3dc30dd43a7c
MD5 417273b09a49af49cd5be5f603f6aa92
BLAKE2b-256 58e3bd30922115bcd1bce50a88576ee3a9afe1416b2817d59abcbb4ca0af6e3f

See more details on using hashes here.

File details

Details for the file wcore_py-0.5.1-cp38-none-win_amd64.whl.

File metadata

  • Download URL: wcore_py-0.5.1-cp38-none-win_amd64.whl
  • Upload date:
  • Size: 587.0 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for wcore_py-0.5.1-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 acae655ecb06dde656f700cfbf5dc0aadb984397d37fd2b287ebe583ba85cd5e
MD5 35988595fde3ef170482e0fc6eb75e73
BLAKE2b-256 2c91356f5b2004f451e166a6dcb0a593f7a4b129aa221776c99264dc47b71a5c

See more details on using hashes here.

File details

Details for the file wcore_py-0.5.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for wcore_py-0.5.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 e0b6f0b477b31f88b34bf201d5fd343c6d1852aa81499b91e52de21f8e986af4
MD5 bb1995a0e4ddc9844c42bdb01f0c1373
BLAKE2b-256 b19b22fc7febddc30c0cd605f30fa7d7e58547b4ab61e5fccfdaa5827a74d917

See more details on using hashes here.

File details

Details for the file wcore_py-0.5.1-cp38-cp38-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for wcore_py-0.5.1-cp38-cp38-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 669a54f1822b6920708089d066562c00b73a896473e98d658ff2e0d3468f7cee
MD5 9c3c0c7bdf0a49d784305135fade45b4
BLAKE2b-256 461d87c3d80b46c96f95eb8f786b240da887b0413b9fb7ad7c1874da15b4f35c

See more details on using hashes here.

File details

Details for the file wcore_py-0.5.1-cp37-none-win_amd64.whl.

File metadata

  • Download URL: wcore_py-0.5.1-cp37-none-win_amd64.whl
  • Upload date:
  • Size: 587.1 kB
  • Tags: CPython 3.7, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.7.9

File hashes

Hashes for wcore_py-0.5.1-cp37-none-win_amd64.whl
Algorithm Hash digest
SHA256 cbcd916e01ee5f2e093e34fa64d934d62a3889ba38964d018f6f004663664177
MD5 445ed005ffc86a34e48b3307383e3986
BLAKE2b-256 6f04d6854bf7bae7c6fe9da56d917a02b7734598cd67aad10ea41a6c8b737536

See more details on using hashes here.

File details

Details for the file wcore_py-0.5.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for wcore_py-0.5.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 db5262aa7a620b64fdee486fd78f1284fa200d50cd593ce6214b4849733d8e5c
MD5 58eea29242e2276d813b4fb8c29c3ae8
BLAKE2b-256 c30353a38c1dc2cb787241dbac42f24b7c8d96c5813f7eb9508d7d9554759ca7

See more details on using hashes here.

File details

Details for the file wcore_py-0.5.1-cp37-cp37m-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for wcore_py-0.5.1-cp37-cp37m-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 e6763d2d599a76cff6c066ca641e5b2a99d47f5c9ece6eaf2bf3e2dc61a577a3
MD5 574c44ecc2925fd4de0b8893315af08b
BLAKE2b-256 d9bd118b8bbde05522ba1a9ab8331f9ac2f2930835492e0b1fc58480a424346e

See more details on using hashes here.

File details

Details for the file wcore_py-0.5.1-cp36-none-win_amd64.whl.

File metadata

  • Download URL: wcore_py-0.5.1-cp36-none-win_amd64.whl
  • Upload date:
  • Size: 587.1 kB
  • Tags: CPython 3.6, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.64.0 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.8

File hashes

Hashes for wcore_py-0.5.1-cp36-none-win_amd64.whl
Algorithm Hash digest
SHA256 b58f2f089e0a1849f72c37287cee6e64ae8fd90a8c545639e40e1433ae9467fd
MD5 fcea24f5c21ac823cc6f52b73213dda3
BLAKE2b-256 ad2b60c86a17e2107154ee3efd1c5dcbe532e8ac7326b6a1a3f3c130994cfeba

See more details on using hashes here.

File details

Details for the file wcore_py-0.5.1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for wcore_py-0.5.1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 ec87d4b2f51cf915045054eef38b784223a989cff92cd9010c72dc424f7b8784
MD5 8d9ec5e3a84f62f58fb2f2998e660879
BLAKE2b-256 55ce7cfbceae2403d9ecc3b3d3f686f42e24853b2f51dfca82ba874c589c26dd

See more details on using hashes here.

File details

Details for the file wcore_py-0.5.1-cp36-cp36m-macosx_10_7_x86_64.whl.

File metadata

  • Download URL: wcore_py-0.5.1-cp36-cp36m-macosx_10_7_x86_64.whl
  • Upload date:
  • Size: 619.7 kB
  • Tags: CPython 3.6m, macOS 10.7+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.64.0 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.15

File hashes

Hashes for wcore_py-0.5.1-cp36-cp36m-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 822480fa3a164bc42b7b6bdeee8a7368abea3998ff7430cdccc2d821c14a8938
MD5 0c71e6e37973c724956c5ea891da3847
BLAKE2b-256 aa998daf18455398185e533168b4085c66ca144844dfb4334974256b12553187

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