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

Download files

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

Source Distribution

scipy-1.5.3.tar.gz (25.2 MB view details)

Uploaded Source

Built Distributions

scipy-1.5.3-cp38-cp38-win_amd64.whl (31.4 MB view details)

Uploaded CPython 3.8Windows x86-64

scipy-1.5.3-cp38-cp38-win32.whl (28.4 MB view details)

Uploaded CPython 3.8Windows x86

scipy-1.5.3-cp38-cp38-manylinux2014_aarch64.whl (24.5 MB view details)

Uploaded CPython 3.8

scipy-1.5.3-cp38-cp38-manylinux1_x86_64.whl (25.8 MB view details)

Uploaded CPython 3.8

scipy-1.5.3-cp38-cp38-manylinux1_i686.whl (22.7 MB view details)

Uploaded CPython 3.8

scipy-1.5.3-cp38-cp38-macosx_10_9_x86_64.whl (29.0 MB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

scipy-1.5.3-cp37-cp37m-win_amd64.whl (31.2 MB view details)

Uploaded CPython 3.7mWindows x86-64

scipy-1.5.3-cp37-cp37m-win32.whl (28.3 MB view details)

Uploaded CPython 3.7mWindows x86

scipy-1.5.3-cp37-cp37m-manylinux2014_aarch64.whl (24.4 MB view details)

Uploaded CPython 3.7m

scipy-1.5.3-cp37-cp37m-manylinux1_x86_64.whl (25.9 MB view details)

Uploaded CPython 3.7m

scipy-1.5.3-cp37-cp37m-manylinux1_i686.whl (22.8 MB view details)

Uploaded CPython 3.7m

scipy-1.5.3-cp37-cp37m-macosx_10_9_x86_64.whl (28.7 MB view details)

Uploaded CPython 3.7mmacOS 10.9+ x86-64

scipy-1.5.3-cp36-cp36m-win_amd64.whl (31.2 MB view details)

Uploaded CPython 3.6mWindows x86-64

scipy-1.5.3-cp36-cp36m-win32.whl (28.3 MB view details)

Uploaded CPython 3.6mWindows x86

scipy-1.5.3-cp36-cp36m-manylinux2014_aarch64.whl (24.5 MB view details)

Uploaded CPython 3.6m

scipy-1.5.3-cp36-cp36m-manylinux1_x86_64.whl (25.9 MB view details)

Uploaded CPython 3.6m

scipy-1.5.3-cp36-cp36m-manylinux1_i686.whl (22.8 MB view details)

Uploaded CPython 3.6m

scipy-1.5.3-cp36-cp36m-macosx_10_9_x86_64.whl (28.8 MB view details)

Uploaded CPython 3.6mmacOS 10.9+ x86-64

File details

Details for the file scipy-1.5.3.tar.gz.

File metadata

  • Download URL: scipy-1.5.3.tar.gz
  • Upload date:
  • Size: 25.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.0

File hashes

Hashes for scipy-1.5.3.tar.gz
Algorithm Hash digest
SHA256 ddae76784574cc4c172f3d5edd7308be16078dd3b977e8746860c76c195fa707
MD5 ecf5c58e4df1d257abf1634d51cb9205
BLAKE2b-256 93634a566494594a13697c5d5d8a754d6e329d018ddf881520775e0229fa29ef

See more details on using hashes here.

File details

Details for the file scipy-1.5.3-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: scipy-1.5.3-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 31.4 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.0

File hashes

Hashes for scipy-1.5.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 a3db1fe7c6cb29ca02b14c9141151ebafd11e06ffb6da8ecd330eee5c8283a8a
MD5 14f617e43a37827a29e8ee9ad97eda4b
BLAKE2b-256 87a66b4843b1ae35d456d972d32d1f1c9bb5d1431c94796fd07a2613212de890

See more details on using hashes here.

File details

Details for the file scipy-1.5.3-cp38-cp38-win32.whl.

File metadata

  • Download URL: scipy-1.5.3-cp38-cp38-win32.whl
  • Upload date:
  • Size: 28.4 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.0

File hashes

Hashes for scipy-1.5.3-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 33e6a7439f43f37d4c1135bc95bcd490ffeac6ef4b374892c7005ce2c729cf4a
MD5 8dd29aceb8dae5b5cc4f8100d8b35423
BLAKE2b-256 ea0a93e820552e1c62101d7fd64b623a280ddcd1e9dbd37aa2a131320408381f

See more details on using hashes here.

File details

Details for the file scipy-1.5.3-cp38-cp38-manylinux2014_aarch64.whl.

File metadata

  • Download URL: scipy-1.5.3-cp38-cp38-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 24.5 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.0

File hashes

Hashes for scipy-1.5.3-cp38-cp38-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 5163200ab14fd2b83aba8f0c4ddcc1fa982a43192867264ab0f4c8065fd10d17
MD5 86d52a963596a4cf6e1930ac5cf79a03
BLAKE2b-256 5fb863344c83c92b1110064bfa91dcaec5e7a88a92f4ffef2f8c26abefdbd8c4

See more details on using hashes here.

File details

Details for the file scipy-1.5.3-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: scipy-1.5.3-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 25.8 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.0

File hashes

Hashes for scipy-1.5.3-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 a1a13858b10d41beb0413c4378462b43eafef88a1948d286cb357eadc0aec024
MD5 a2a035b15f78106090b9550f1383b40f
BLAKE2b-256 e6fe87f6a05ab408b009ae7754f97600bbfa570a53b6d9a58290677b231737d6

See more details on using hashes here.

File details

Details for the file scipy-1.5.3-cp38-cp38-manylinux1_i686.whl.

File metadata

  • Download URL: scipy-1.5.3-cp38-cp38-manylinux1_i686.whl
  • Upload date:
  • Size: 22.7 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.0

File hashes

Hashes for scipy-1.5.3-cp38-cp38-manylinux1_i686.whl
Algorithm Hash digest
SHA256 12fdcbfa56cac926a0a9364a30cbf4ad03c2c7b59f75b14234656a5e4fd52bf3
MD5 77e8cb222c1868f01f048a444ef49260
BLAKE2b-256 d72bcca10da0485e58a6a17f39ea374c3a2c3f26a49d066ee25e97513e2a84a7

See more details on using hashes here.

File details

Details for the file scipy-1.5.3-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: scipy-1.5.3-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 29.0 MB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.0

File hashes

Hashes for scipy-1.5.3-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 66ec29348444ed6e8a14c9adc2de65e74a8fc526dc2c770741725464488ede1f
MD5 faaa0cab95b6f352508120b8f628aaae
BLAKE2b-256 e8f5536854227cc6f7ed8d2bca86f5339423475de7fff867deeb209c39bc4171

See more details on using hashes here.

File details

Details for the file scipy-1.5.3-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: scipy-1.5.3-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 31.2 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.0

File hashes

Hashes for scipy-1.5.3-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 0edd67e8a00903aaf7a29c968555a2e27c5a69fea9d1dcfffda80614281a884f
MD5 3c2927e6adf9b522f7f1745308b4d1f2
BLAKE2b-256 f6bd81b77548de05f40c3326c1c9486996e6f4a7eed557e3cda985ff232d4743

See more details on using hashes here.

File details

Details for the file scipy-1.5.3-cp37-cp37m-win32.whl.

File metadata

  • Download URL: scipy-1.5.3-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 28.3 MB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.0

File hashes

Hashes for scipy-1.5.3-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 8cc5c39ed287a8b52a5509cd6680af078a40b0e010e2657eca01ffbfec929468
MD5 f783a76397dfe2a73752ac86f32fa474
BLAKE2b-256 723d74b7aa92e716247e348b78faa48b6eb27d2eeffda45e67bdc6c214bafd57

See more details on using hashes here.

File details

Details for the file scipy-1.5.3-cp37-cp37m-manylinux2014_aarch64.whl.

File metadata

  • Download URL: scipy-1.5.3-cp37-cp37m-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 24.4 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.0

File hashes

Hashes for scipy-1.5.3-cp37-cp37m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 bc0e63daf43bf052aefbbd6c5424bc03f629d115ece828e87303a0bcc04a37e4
MD5 00bb4f63f4ee40869193c8e639da3274
BLAKE2b-256 4f24bf3794c9fa80c515ee448fd9a27c288968efa089404e86efbaf9dad8e09f

See more details on using hashes here.

File details

Details for the file scipy-1.5.3-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: scipy-1.5.3-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 25.9 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.0

File hashes

Hashes for scipy-1.5.3-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 aebb69bcdec209d874fc4b0c7ac36f509d50418a431c1422465fa34c2c0143ea
MD5 1cd15a513ad76c64a4353a63eee6b3a8
BLAKE2b-256 facf94686c3e2b21cba82904a2bbb014f7529d483021802a0116c3a256b00563

See more details on using hashes here.

File details

Details for the file scipy-1.5.3-cp37-cp37m-manylinux1_i686.whl.

File metadata

  • Download URL: scipy-1.5.3-cp37-cp37m-manylinux1_i686.whl
  • Upload date:
  • Size: 22.8 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.0

File hashes

Hashes for scipy-1.5.3-cp37-cp37m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 e2602f79c85924e4486f684aa9bbab74afff90606100db88d0785a0088be7edb
MD5 b2d761876d1f1d27e289b08f44034ede
BLAKE2b-256 b1976dd1aaa388d4b3437c29f0b884b469e66a5ee1c83bd8b66f5926857183b1

See more details on using hashes here.

File details

Details for the file scipy-1.5.3-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: scipy-1.5.3-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 28.7 MB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.0

File hashes

Hashes for scipy-1.5.3-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 07b083128beae040f1129bd8a82b01804f5e716a7fd2962c1053fa683433e4ab
MD5 12be163517b748a025cd399e6e9ce7df
BLAKE2b-256 a1638b9abaed8ce915dfccb856a25c8a47f96b508a1d7d60d2b7c21d5bb24207

See more details on using hashes here.

File details

Details for the file scipy-1.5.3-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: scipy-1.5.3-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 31.2 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.0

File hashes

Hashes for scipy-1.5.3-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 ffcbd331f1ffa82e22f1d408e93c37463c9a83088243158635baec61983aaacf
MD5 be3f3ba1018e7b1f3a30738aa502a4b5
BLAKE2b-256 f65504aea72e842cab63a568f6e2705a7ac573d782395a9947668451970ae7e9

See more details on using hashes here.

File details

Details for the file scipy-1.5.3-cp36-cp36m-win32.whl.

File metadata

  • Download URL: scipy-1.5.3-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 28.3 MB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.0

File hashes

Hashes for scipy-1.5.3-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 1fee28b6641ecbff6e80fe7788e50f50c5576157d278fa40f36c851940eb0aff
MD5 20405ee4157858d33e38c62b873b6420
BLAKE2b-256 eeb4785f825e727a3130b33ce6ac90067f5f24ff2fa55fc3db6b18b38ab61034

See more details on using hashes here.

File details

Details for the file scipy-1.5.3-cp36-cp36m-manylinux2014_aarch64.whl.

File metadata

  • Download URL: scipy-1.5.3-cp36-cp36m-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 24.5 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.0

File hashes

Hashes for scipy-1.5.3-cp36-cp36m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d5e3cc60868f396b78fc881d2c76460febccfe90f6d2f082b9952265c79a8788
MD5 855db93424cf97e5b4685c4cf74be346
BLAKE2b-256 c7dbd566cb4e20f95d8bfbeb04af0c2a39bc2dade256cccfd3689d57ce490347

See more details on using hashes here.

File details

Details for the file scipy-1.5.3-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: scipy-1.5.3-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 25.9 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.0

File hashes

Hashes for scipy-1.5.3-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 b9751b39c52a3fa59312bd2e1f40144ee26b51404db5d2f0d5259c511ff6f614
MD5 8e8ca0d9123c4f4bf59f74ec474fc936
BLAKE2b-256 8a14d0475ceeaa047f3eae2dc7597c3d40228e1d5beee42c1730f3c96ffb5526

See more details on using hashes here.

File details

Details for the file scipy-1.5.3-cp36-cp36m-manylinux1_i686.whl.

File metadata

  • Download URL: scipy-1.5.3-cp36-cp36m-manylinux1_i686.whl
  • Upload date:
  • Size: 22.8 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.0

File hashes

Hashes for scipy-1.5.3-cp36-cp36m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 e527c9221b6494bcd06a17f9f16874406b32121385f9ab353b8a9545be458f0b
MD5 85d547117ae6d9fd447120c1768ff2d0
BLAKE2b-256 f44fbbf7e8b0cd9004b6e1cfb993ff46f015497bb0132345b80683ed212ca046

See more details on using hashes here.

File details

Details for the file scipy-1.5.3-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: scipy-1.5.3-cp36-cp36m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 28.8 MB
  • Tags: CPython 3.6m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.0

File hashes

Hashes for scipy-1.5.3-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f574558f1b774864516f3c3fe072ebc90a29186f49b720f60ed339294b7f32ac
MD5 fd75941594b22a322f63a27d53c1bdda
BLAKE2b-256 559cb17c492bc3141d679e4bda9d40b348d438a0a81f5be4866552d552145901

See more details on using hashes here.

Supported by

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