Skip to main content

Python interface to PROJ (cartographic projections and coordinate transformations library)

Project description

Pyproj logo

pyproj

Python interface to PROJ (cartographic projections and coordinate transformations library).

Join the chat at https://gitter.im/pyproj4-pyproj/community All Contributors Appveyor Build Status GitHub Actions Build Status Codecov Status PyPI Downloads Anaconda-Server Badge Code style: black pre-commit DOI

Documentation

Bugs/Questions

Contributors โœจ

Thanks goes to these wonderful people (emoji key):


Jeff Whitaker

๐Ÿ“– โš ๏ธ ๐Ÿ’ป ๐Ÿ’ก ๐Ÿค” ๐Ÿ‘€ ๐Ÿ’ฌ ๐Ÿšง ๐Ÿš‡ ๐Ÿ›

Alan D. Snow

๐Ÿ“– โš ๏ธ ๐Ÿ’ป ๐Ÿ’ก ๐Ÿšง ๐Ÿš‡ ๐Ÿค” ๐Ÿ‘€ ๐Ÿ’ฌ ๐Ÿ›

Micah Cochran

๐Ÿ“– โš ๏ธ ๐Ÿ’ป ๐Ÿšง ๐Ÿš‡ ๐Ÿ‘€ ๐Ÿ’ฌ ๐Ÿ›

Joris Van den Bossche

๐Ÿ“– ๐Ÿ’ป ๐Ÿค” ๐Ÿ‘€ ๐Ÿ’ฌ ๐Ÿ› โš ๏ธ

Chris Mayo

โš ๏ธ

Charles Karney

๐Ÿ’ป โš ๏ธ

Justin Dearing

๐Ÿš‡

Jos de Kloe

๐Ÿ’ป โš ๏ธ ๐Ÿ›

George Ouzounoudis

๐Ÿ’ป ๐Ÿค”

David Hoese

๐Ÿ‘€ ๐Ÿค” ๐Ÿ“ฆ ๐Ÿ“– โš ๏ธ ๐Ÿ’ป

Mikhail Itkin

๐Ÿ’ป

Ryan May

๐Ÿ’ป

artttt

๐Ÿค”

Filipe

๐Ÿš‡ ๐Ÿ’ป ๐Ÿ“ฆ

Heitor

๐Ÿ“–

Bas Couwenberg

๐Ÿ’ป ๐Ÿ“ฆ โš ๏ธ

Nick Eubank

๐Ÿ’ป

Michael Dunphy

๐Ÿ“–

Matthew Brett

๐Ÿš‡ ๐Ÿ“ฆ

Jakob de Maeyer

๐Ÿ’ป

The Gitter Badger

๐Ÿ“–

Bernhard M. Wiedemann

๐Ÿ’ป

Marco Aurรฉlio da Costa

๐Ÿ’ป

Christopher H. Barker

๐Ÿ’ป

Kristian Evers

๐Ÿ’ฌ ๐Ÿค” ๐Ÿ“–

Even Rouault

๐Ÿ’ฌ

Christoph Gohlke

๐Ÿ“ฆ ๐Ÿ’ฌ ๐Ÿ› โš ๏ธ

Chris Willoughby

๐Ÿ’ป

Guillaume Lostis

๐Ÿ“–

Eduard Popov

๐Ÿ“–

Joe Ranalli

๐Ÿ› ๐Ÿ’ป โš ๏ธ

Greg Berardinelli

๐Ÿ› ๐Ÿ’ป ๐Ÿค” โš ๏ธ

Martin Raspaud

๐Ÿ› ๐Ÿ’ป โš ๏ธ ๐Ÿค”

Mike Taves

โš ๏ธ

David Haberthรผr

๐Ÿ“–

mmodenesi

๐Ÿ› ๐Ÿ’ป โš ๏ธ

jacob-indigo

๐Ÿ› ๐Ÿ’ป

Poruri Sai Rahul

โš ๏ธ

Yann-Sebastien Tremblay-Johnston

๐Ÿ“–

odidev

๐Ÿ“ฆ

Idan Miara

๐Ÿ’ป ๐Ÿ“– ๐Ÿ’ก โš ๏ธ

Brendan Jurd

๐Ÿ“– ๐ŸŽจ

Bill Little

๐Ÿ“–

Gerrit Holl

๐Ÿ“–

Kirill Kouzoubov

๐Ÿ’ป

Dan Hemberger

๐Ÿ› ๐Ÿ’ป

Martin Fleischmann

๐Ÿ› ๐Ÿ’ป โš ๏ธ

Matthias Meulien

๐Ÿ’ป ๐Ÿ›

Isaac Boates

๐Ÿ’ป ๐Ÿ› โš ๏ธ

Kyle Penner

๐Ÿ’ป ๐Ÿ› ๐Ÿ“–

paulcochrane

๐Ÿ’ป ๐Ÿ“– โš ๏ธ ๐Ÿ›

Antonio Ettorre

๐Ÿ“ฆ

DWesl

๐Ÿ’ป

This project follows the all-contributors specification. Contributions of any kind welcome!

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

pyproj-3.4.0rc1.tar.gz (218.2 kB view details)

Uploaded Source

Built Distributions

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

pyproj-3.4.0rc1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.1 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

pyproj-3.4.0rc1-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (6.2 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686

pyproj-3.4.0rc1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (8.0 MB view details)

Uploaded PyPymacOS 10.9+ x86-64

pyproj-3.4.0rc1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.1 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

pyproj-3.4.0rc1-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (6.2 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686

pyproj-3.4.0rc1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (8.0 MB view details)

Uploaded PyPymacOS 10.9+ x86-64

pyproj-3.4.0rc1-cp311-cp311-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.11Windows x86-64

pyproj-3.4.0rc1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.9 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

pyproj-3.4.0rc1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (7.9 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ i686

pyproj-3.4.0rc1-cp311-cp311-macosx_10_9_x86_64.whl (8.1 MB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

pyproj-3.4.0rc1-cp310-cp310-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.10Windows x86-64

pyproj-3.4.0rc1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.7 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

pyproj-3.4.0rc1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (7.8 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ i686

pyproj-3.4.0rc1-cp310-cp310-macosx_10_9_x86_64.whl (8.1 MB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

pyproj-3.4.0rc1-cp39-cp39-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.9Windows x86-64

pyproj-3.4.0rc1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.8 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

pyproj-3.4.0rc1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (7.8 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ i686

pyproj-3.4.0rc1-cp39-cp39-macosx_10_9_x86_64.whl (8.1 MB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

pyproj-3.4.0rc1-cp38-cp38-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.8Windows x86-64

pyproj-3.4.0rc1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.8 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

pyproj-3.4.0rc1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (7.9 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ i686

pyproj-3.4.0rc1-cp38-cp38-macosx_10_9_x86_64.whl (8.1 MB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

File details

Details for the file pyproj-3.4.0rc1.tar.gz.

File metadata

  • Download URL: pyproj-3.4.0rc1.tar.gz
  • Upload date:
  • Size: 218.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for pyproj-3.4.0rc1.tar.gz
Algorithm Hash digest
SHA256 44766758692db6d7b2d2a37718f5a69af34a5300859972caf14f3970031235b8
MD5 15599b2a80ec5eab54c81f3ae9b46e16
BLAKE2b-256 c357902719ac09aad5baefa585065451d7031aa0ecf945c0bc65444e33353856

See more details on using hashes here.

File details

Details for the file pyproj-3.4.0rc1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyproj-3.4.0rc1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e93fe39f42d48cb54c2f6008a59e9ad034a9ee24b310369f9320ba0846fda352
MD5 db4c9c5a0a221d1d90bf4be3423bd329
BLAKE2b-256 971aafb3ad7303c4bdb1cd9b17406381cccce0813e01042ac90a82c32a01ec27

See more details on using hashes here.

File details

Details for the file pyproj-3.4.0rc1-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyproj-3.4.0rc1-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 cfc69f0053c7e23f69e5e27f218755bc9698a08931227abd2185ba67bfe753e6
MD5 de8342ed156bd779662f1e47a568171c
BLAKE2b-256 10a8844767f816440ead68be6298be5f7138f74f0e01041a556de1726c281765

See more details on using hashes here.

File details

Details for the file pyproj-3.4.0rc1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyproj-3.4.0rc1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 3683bc599d277749e2aff7068240b9b41fd2ce5f6fba013f3be9420c4a053997
MD5 7ba8160d1665444eb2875f3fca1b8b96
BLAKE2b-256 3595b229892e19a9c8e091ffc7345f1edfacaad61f3a41d5287f09d3b9a3c563

See more details on using hashes here.

File details

Details for the file pyproj-3.4.0rc1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyproj-3.4.0rc1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8885e5f27269396fd2fe6dbedb4336711fe6af208304c5a371fcd0f56356b1f7
MD5 9e5357e0297cfb18d96669479f1706f9
BLAKE2b-256 a7ecdd379da4bcd96dbc681e4a25e0f2e5ad46ec5ed4c5d4fe4a52c819673322

See more details on using hashes here.

File details

Details for the file pyproj-3.4.0rc1-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyproj-3.4.0rc1-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 6e2ffe5933b9aebeceaf63c19bb53a7ec9ba236ef59215ddaf588c023498599e
MD5 767d9c22f57d2fb6d84d1f22da99fa5e
BLAKE2b-256 92131712c616e5a5bef02ff8f218aa80f10b6ea5600b6d1397435cbc5514f58e

See more details on using hashes here.

File details

Details for the file pyproj-3.4.0rc1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyproj-3.4.0rc1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 65a6f9035aa7e49e6c5cbdb9c2bdc535a572b0125f4ccdd1729ae0854831cbfc
MD5 9069e831e328db1c36c53b02af4ac1b6
BLAKE2b-256 583a2348c9432b37bea2297da24d1c4929e7ff98761808bf0dd5dd8e774baec9

See more details on using hashes here.

File details

Details for the file pyproj-3.4.0rc1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pyproj-3.4.0rc1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for pyproj-3.4.0rc1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 67adc5acfd898d1bee288564d7f7e52c135fc214fad38a2bdd05640acb20a7da
MD5 e37d9d4b5ff64a509b7ed9ccf34c1606
BLAKE2b-256 4253953daaba5de0e6e31b86ec589a711f72caa523ff5d7ef37f1bf24b90965a

See more details on using hashes here.

File details

Details for the file pyproj-3.4.0rc1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyproj-3.4.0rc1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2a090256ccdaddae9f2ffb3a9d8d34504547a723fcdc072d1be87b462e602ce5
MD5 884f394fd43524c968e241fa189bd5a1
BLAKE2b-256 c953264f8da999bc382ddf8eff6271bd234ac2d502e148e8aa6d46d5c35e8180

See more details on using hashes here.

File details

Details for the file pyproj-3.4.0rc1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyproj-3.4.0rc1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 60e7fea11d6e843f1333480b4ced223b4b650924e612919eed77d3f97299675d
MD5 450e65185116cee5fd69aaa84afe2111
BLAKE2b-256 6236393ff8ff1fb45208893f4fecc5dfb7ce96385a455809da4e776ba3c19907

See more details on using hashes here.

File details

Details for the file pyproj-3.4.0rc1-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyproj-3.4.0rc1-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 bb43c6d2e2ef00bb4354e4836d14c12001607366c610b14c6183ab9b5cc125a3
MD5 d8e9c0f987afc5d30eb5a5da4d765785
BLAKE2b-256 27a48d5ccd6320917396937bd5fe3c951fbb1ef856ce5daac17347b9cdbe5aaf

See more details on using hashes here.

File details

Details for the file pyproj-3.4.0rc1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pyproj-3.4.0rc1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for pyproj-3.4.0rc1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 816fe74c4ce2c9527f0fc2531ec21426a2be3594c3eca0fb9764bffaa9210e47
MD5 879bdc13ffb2447d5423b85f0fc1d357
BLAKE2b-256 c54ac28ec60ba983ecb29a66e4d45b12a43e444054a0e55da4a30fbb88b3cc56

See more details on using hashes here.

File details

Details for the file pyproj-3.4.0rc1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyproj-3.4.0rc1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 22b02d7b48b82a53fd00e17911dbb6a0a672828967ca0ab74c147fe8d8cc4b96
MD5 63149561c2e861fae95962726edb21d4
BLAKE2b-256 0d50cf5e4fc801a2a5bf9a39c6a4b6a1bf87d74d87d492e23d9c8ea7e4f745b4

See more details on using hashes here.

File details

Details for the file pyproj-3.4.0rc1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyproj-3.4.0rc1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 fe6371cc1a6e43f702d0484fce564158d0c7b7df4e6c64b1766d5b145051a216
MD5 326b08f181ee00df9ae34e4e343a90d0
BLAKE2b-256 4c03041a772b98ec53052fe2de26cec3e52826b619399b8fa201ecfa40b149f7

See more details on using hashes here.

File details

Details for the file pyproj-3.4.0rc1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyproj-3.4.0rc1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 04e5f31b247b6378dc9b5999c4bffe89b59d200b4b92e74eee7bf8793f28c430
MD5 3b739674acd2183355bfcbcf6c391cd9
BLAKE2b-256 6b1eaebfc63864972d79be4973807543d90240d4c2509be8fd8c55552df80fb9

See more details on using hashes here.

File details

Details for the file pyproj-3.4.0rc1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pyproj-3.4.0rc1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for pyproj-3.4.0rc1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 da14d0bb016cce2680c76b35ce1577eb0e31a24cebc928f16ee6d415a4c6eba9
MD5 bc464cb0feb4089ec139bbe1bbea582e
BLAKE2b-256 00da6ff529e91a32042dd2bbf902a8f429d6848a48ecfca0a9a7a742c419f366

See more details on using hashes here.

File details

Details for the file pyproj-3.4.0rc1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyproj-3.4.0rc1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 12ff28c512f760dd8b3859ac2ed8eb1e7418afffa2d1b34db83060c92d31632d
MD5 c463ce0edc8ba9f42917b74a2357582a
BLAKE2b-256 06c72eea46726b50c0891a92e2f99c528c28f2bf08fdb944f425bbf67a03a215

See more details on using hashes here.

File details

Details for the file pyproj-3.4.0rc1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyproj-3.4.0rc1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 8f46b3c77a8cbab39692f67eabd410b9e9320282b12bce77cb933f27eaea7253
MD5 a5a2a7a49f42146ffb6f3a0efafb3aa7
BLAKE2b-256 9b1af4d9ca0679a6ee5af30145fd350a5dd3e555843a6376eb59009a651b4042

See more details on using hashes here.

File details

Details for the file pyproj-3.4.0rc1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyproj-3.4.0rc1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 8eef699ef91ff8cfcf52c6f21099ff0f8d23a4d846f18e4d29a492c4320ea5af
MD5 805af77c970aaaa8a2453460716df998
BLAKE2b-256 b6fd7c8b93176470e6a9a0fd196eeb8d3bc3377b3d0d30cbaca165fc134167d7

See more details on using hashes here.

File details

Details for the file pyproj-3.4.0rc1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pyproj-3.4.0rc1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for pyproj-3.4.0rc1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 8395a8f41f401817894b968cfc366cb28a439fa0fbf01ed345dda41ac5210073
MD5 47015db61e7dddaa640956739ca49362
BLAKE2b-256 d0a0c8ae2b1989fd93c1f0a304b5c83ad2ffbf0af7c7edd4cd49f9610ffe8026

See more details on using hashes here.

File details

Details for the file pyproj-3.4.0rc1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyproj-3.4.0rc1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 afd4c2d688a75427768e0fa4e9a8c1c252874471a9192d6c00bba1bf57309a1a
MD5 a9e15c6c5f55d3df9f8b1e438f29b4a0
BLAKE2b-256 f371f0514e85ef170737243c0b46a758461761a1f9f90e362ab91acbed696025

See more details on using hashes here.

File details

Details for the file pyproj-3.4.0rc1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyproj-3.4.0rc1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b9dfd5c42c8ee4030a4cd7c83606d1b334c902f7305fc8e918c4a029d8c26c91
MD5 b2022906b9bdea2b85a24ff67fdf04a1
BLAKE2b-256 93729c93d458b41f3a4e92c99572f14ed2ae3530a8a85bd361ea1e9284086551

See more details on using hashes here.

File details

Details for the file pyproj-3.4.0rc1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyproj-3.4.0rc1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e89cdf5ba4b68629f26999fee441840a95f1a3a2b8312a6467eb6575496e54a0
MD5 4fb6ddb01fad01ae070372354ebb3960
BLAKE2b-256 f8c5c4d6bf4fdb75a001afc6f84856fc7bdf7efdb2cebaecdca360b08bf944a4

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