Skip to main content

SciPy: Scientific Library for Python

Project description

SciPy (pronounced “Sigh Pie”) is open-source software for mathematics, science, and engineering. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world’s leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!

Project details


Release history Release notifications | RSS feed

This version

1.7.2

Download files

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

Source Distribution

scipy-1.7.2.tar.gz (36.1 MB view details)

Uploaded Source

Built Distributions

scipy-1.7.2-cp310-cp310-win_amd64.whl (34.1 MB view details)

Uploaded CPython 3.10 Windows x86-64

scipy-1.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.9 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

scipy-1.7.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (36.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

scipy-1.7.2-cp310-cp310-macosx_10_9_x86_64.whl (33.2 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

scipy-1.7.2-cp39-cp39-win_amd64.whl (34.3 MB view details)

Uploaded CPython 3.9 Windows x86-64

scipy-1.7.2-cp39-cp39-win32.whl (30.8 MB view details)

Uploaded CPython 3.9 Windows x86

scipy-1.7.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

scipy-1.7.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (36.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

scipy-1.7.2-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl (34.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ i686

scipy-1.7.2-cp39-cp39-macosx_10_9_x86_64.whl (33.2 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

scipy-1.7.2-cp38-cp38-win_amd64.whl (34.2 MB view details)

Uploaded CPython 3.8 Windows x86-64

scipy-1.7.2-cp38-cp38-win32.whl (30.7 MB view details)

Uploaded CPython 3.8 Windows x86

scipy-1.7.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

scipy-1.7.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (36.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

scipy-1.7.2-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl (34.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ i686

scipy-1.7.2-cp38-cp38-macosx_10_9_x86_64.whl (33.0 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

scipy-1.7.2-cp37-cp37m-win_amd64.whl (34.1 MB view details)

Uploaded CPython 3.7m Windows x86-64

scipy-1.7.2-cp37-cp37m-win32.whl (30.6 MB view details)

Uploaded CPython 3.7m Windows x86

scipy-1.7.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (36.1 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

scipy-1.7.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (38.2 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

scipy-1.7.2-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl (33.8 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ i686

scipy-1.7.2-cp37-cp37m-macosx_10_9_x86_64.whl (33.0 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

scipy-1.7.2-1-cp310-cp310-win_amd64.whl (34.3 MB view details)

Uploaded CPython 3.10 Windows x86-64

File details

Details for the file scipy-1.7.2.tar.gz.

File metadata

  • Download URL: scipy-1.7.2.tar.gz
  • Upload date:
  • Size: 36.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.4

File hashes

Hashes for scipy-1.7.2.tar.gz
Algorithm Hash digest
SHA256 fa2dbabaaecdb502641b0b3c00dec05fb475ae48655c66da16c9ed24eda1e711
MD5 9ba02f72fbdc922644ddb9ce5501c37e
BLAKE2b-256 0e2358c4f995475a2a97cb5f4a032aedaf881ad87cd976a7180c55118d105a1d

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: scipy-1.7.2-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 34.1 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.4

File hashes

Hashes for scipy-1.7.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 54951f51d731c832b1b8885e0a92e89f33d087de7e40d02078bf0d49c7cbdbb5
MD5 c507b5599acb13b0b7d6e58619e8fb83
BLAKE2b-256 5ae543bb2964aa229afc499cd6ea5f9246fa74cff3087f8aa0b88ecc0a9a184d

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 82c5befebf54d799d77e5f0205c03030f57f69ba2541baa44d2e6ad138c28cd3
MD5 cf5762eba17598002d2d310a5a6b6f9f
BLAKE2b-256 741f3725bdc8283a94ff395974844e0806e5402dd7c69dd30acc5e30b4658305

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for scipy-1.7.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 359b60a0cccd17723b9d5e329a5212a710e771a3ddde800e472fb93732756c46
MD5 443a83b81b59b627aa63bdfaa66d8f62
BLAKE2b-256 fe16d0172bf38116cc52df7e39a0d13af6dc36ad9a4379a1929c185bc6a9c3ab

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: scipy-1.7.2-cp310-cp310-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 33.2 MB
  • Tags: CPython 3.10, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.4

File hashes

Hashes for scipy-1.7.2-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 97eb573e361a73a553b915dc195c6f72a08249964b1a33f157f9659f3b6210d1
MD5 45913b1797379cc2e258b0d544276cc8
BLAKE2b-256 0d0afbaebcff6f3674a08ff90b2f0b0a9257f74bb7e8a985cc6023e5599978f1

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: scipy-1.7.2-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 34.3 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.4

File hashes

Hashes for scipy-1.7.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 a80eb01c43fd98257ec7a49ff5cec0edba32031b5f86503f55399a48cb2c5379
MD5 bc4214e901ffa92c703b051f0c1d4f1b
BLAKE2b-256 25a6c1e86bd009fff644af51791ce783ff3cfc07299070cd72413f43736a95a2

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-cp39-cp39-win32.whl.

File metadata

  • Download URL: scipy-1.7.2-cp39-cp39-win32.whl
  • Upload date:
  • Size: 30.8 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.4

File hashes

Hashes for scipy-1.7.2-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 87cf3964db0f1cce17aeed5bfc1b89a6b4b07dbfc48e50d21fa3549e00456803
MD5 50ec716ebd1d31e195fe1658a986698e
BLAKE2b-256 b5d13df9e37b549b886fa2a1345a80bf34aeee5b70f159544e14e9968680dc13

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.7.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5273d832fb9cd5724ee0d335c16a903b923441107dd973d27fc4293075a9f4e3
MD5 14d3114a82d556958480feebb971cd39
BLAKE2b-256 834a13f813a86b7f510954bdae649f0fda718e8210320b4108656ddaf96442c9

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for scipy-1.7.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2d25272c03ee3c0fe5e0dff1bb7889280bb6c9e1766fa9c7bde81ad8a5f78694
MD5 d4fa30d25f20b236d5d3e6c15d296c9b
BLAKE2b-256 964ecc9487aa54e3e94a96f17832a10ba3e1c6d6aa041baeb5aeb32eb2684dd5

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

  • Download URL: scipy-1.7.2-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl
  • Upload date:
  • Size: 34.5 MB
  • Tags: CPython 3.9, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.4

File hashes

Hashes for scipy-1.7.2-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 d86abd1ddf421dea5e9cebfeb4de0d205b3dc04e78249afedba9c6c3b2227ff2
MD5 e99fd9c32cf797b923add67878feae97
BLAKE2b-256 f3397b70dc7be7f2ad254d7bba350f77054123d43eb5d0f1060319b1f12c8ba7

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: scipy-1.7.2-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 33.2 MB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.4

File hashes

Hashes for scipy-1.7.2-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1ea6233f5a365cb7945b4304bd06323ece3ece85d6a3fa8598d2f53e513467c9
MD5 98596dcc617bbbd4bd0532d1519d297f
BLAKE2b-256 c1151da22a7ad4ea3bc9a398da38060a92af1985add277991423e4403128e2d1

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: scipy-1.7.2-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 34.2 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.4

File hashes

Hashes for scipy-1.7.2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 8482c8e45857ab0a5446eb7460d2307a27cbbe659d6d2257820c6d6eb950fd0f
MD5 09090e0e2cd87cff88fec796c5dbf27a
BLAKE2b-256 3b75c800f2dcac835c9c35585d9a2f5a05e048fcd67b217e80e6f95b5e004aee

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-cp38-cp38-win32.whl.

File metadata

  • Download URL: scipy-1.7.2-cp38-cp38-win32.whl
  • Upload date:
  • Size: 30.7 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.4

File hashes

Hashes for scipy-1.7.2-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 8b5726a0fedeaa6beb1095e4466998bdd1d1e960b28db9b5a16c89cbd7b2ebf1
MD5 59dd26cb1157fd2d70cfd260b1cae642
BLAKE2b-256 d8cbb7c0dffe80ef4cca99c14faf6b6d5d63cd2e0759523d7c90f18d9d007f45

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.7.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4d175ba93e00d8eef8f7cd70d4d88a9106a86800c82ea03cf2268c36d6545483
MD5 a424529ee29a85c295aac3e03753f6b0
BLAKE2b-256 ac9a6bcb3f8dcf4f2eae2a74c295afb51676295f69e1ee0a35b96ef9926a33a2

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for scipy-1.7.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 cac71d5476a6f56b50459da21f6221707e0051ebd428b2137db32ef4a43bb15e
MD5 9e217d4c7210170b9c29e11fb8ed7831
BLAKE2b-256 f4128d7f74a85faa15827472017f65e7830e6db09d47c961b9d160fd672cfe48

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

  • Download URL: scipy-1.7.2-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl
  • Upload date:
  • Size: 34.3 MB
  • Tags: CPython 3.8, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.4

File hashes

Hashes for scipy-1.7.2-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 7b1d0f5f524518f1a86f288443528e4ff4a739c0966db663af4129b7ac7849f8
MD5 105b381e6eac333665a086012ed39d73
BLAKE2b-256 8d4c6485b155d82c2bf77022b6bef6b8b9f2f080e77f241a979c79d0177be7b1

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: scipy-1.7.2-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 33.0 MB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.4

File hashes

Hashes for scipy-1.7.2-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e08b81fcd9bf98740b58dc6fdd7879e33a64dcb682201c1135f7d4a75216bb05
MD5 49efccacf70e9c42d9e2e8b914753dba
BLAKE2b-256 e48134ca52f8531d1b1a57d3b2568be469dbb004ca30c7b28d80f5a1dd26913c

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: scipy-1.7.2-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 34.1 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.4

File hashes

Hashes for scipy-1.7.2-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 39f838ea5ce8da868785193d88d05cf5a6d5c390804ec99de29a28e1dcdd53e6
MD5 19edbbc9da80a06ae20fcddca4e3ae53
BLAKE2b-256 446f5bd8f635b6b109a2b0cab4ce1a34f42d140761ec5e6f00ef187edac3cfd9

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-cp37-cp37m-win32.whl.

File metadata

  • Download URL: scipy-1.7.2-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 30.6 MB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.4

File hashes

Hashes for scipy-1.7.2-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 1437073f1d4664990879aa8f9547524764372e0fef84a077be4b19e82bba7a8d
MD5 3e98c25269ecf277dfd7614a11bef941
BLAKE2b-256 d7cca8a99b94456f76580946d049efb443ee1c26a4946cb40c7b91e18e135288

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for scipy-1.7.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 74f518ce542533054695f743e4271cb8986b63f95bb51d70fcee4f3929cbff7d
MD5 da45607f5a6fdcb7fba852596f98e30b
BLAKE2b-256 ea32f7f5bb769b40abe0614a844c7ec5852175021d44e487129c50a06894d6b3

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.7.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 17fd991a275e4283453f89d404209aa92059ac68d76d804b4bc1716a3742e1b5
MD5 fa5e8f6f39feab419e2e86d4bb77980d
BLAKE2b-256 132e4843308bb8147e7f86e99d1b233c64eb4ffa70423dfe21458822cb39cb55

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

  • Download URL: scipy-1.7.2-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl
  • Upload date:
  • Size: 33.8 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.4

File hashes

Hashes for scipy-1.7.2-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 e3efe7ef75dfe627b354ab0af0dbc918eadee97cc80ff1aabea6d3e01114ebdd
MD5 8197788d9ed63a8c7859a1ec4419cf16
BLAKE2b-256 9d68348d0464bed760f5d5f3606fecf1f9b8de5de2126037b8f625ecd9efb622

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: scipy-1.7.2-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 33.0 MB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.4

File hashes

Hashes for scipy-1.7.2-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 30bdda199667e74b50208a793eb1ba47a04e5e3fa16f5ff06c6f7969ae78e4da
MD5 4b1b6a83d39a3cb50d185a6808de7cb5
BLAKE2b-256 186397af98f933b0a06e1d60ddf8373a89124a60073d4f0d47eafb362b51de1d

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.7.2-1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: scipy-1.7.2-1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 34.3 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.4

File hashes

Hashes for scipy-1.7.2-1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 dc2d1bf41294e63c7302bf499973ac0c7f73c93c01763db43055f6525234bf11
MD5 c2029e690ba6e21ed9fc03ef8eba234b
BLAKE2b-256 be28406a53963f20ab24dc475e896be3f76841e1c2eea78c468f81fa9ed4c3d7

See more details on using hashes here.

Provenance

Supported by

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