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

1.5.1

Download files

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

Source Distribution

scipy-1.5.1.tar.gz (25.6 MB view details)

Uploaded Source

Built Distributions

scipy-1.5.1-cp38-cp38-win_amd64.whl (31.4 MB view details)

Uploaded CPython 3.8 Windows x86-64

scipy-1.5.1-cp38-cp38-win32.whl (28.4 MB view details)

Uploaded CPython 3.8 Windows x86

scipy-1.5.1-cp38-cp38-manylinux1_x86_64.whl (25.8 MB view details)

Uploaded CPython 3.8

scipy-1.5.1-cp38-cp38-manylinux1_i686.whl (22.7 MB view details)

Uploaded CPython 3.8

scipy-1.5.1-cp38-cp38-macosx_10_9_x86_64.whl (28.9 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

scipy-1.5.1-cp37-cp37m-win_amd64.whl (31.2 MB view details)

Uploaded CPython 3.7m Windows x86-64

scipy-1.5.1-cp37-cp37m-win32.whl (28.2 MB view details)

Uploaded CPython 3.7m Windows x86

scipy-1.5.1-cp37-cp37m-manylinux1_x86_64.whl (25.9 MB view details)

Uploaded CPython 3.7m

scipy-1.5.1-cp37-cp37m-manylinux1_i686.whl (22.8 MB view details)

Uploaded CPython 3.7m

scipy-1.5.1-cp37-cp37m-macosx_10_9_x86_64.whl (28.7 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

scipy-1.5.1-cp36-cp36m-win_amd64.whl (31.2 MB view details)

Uploaded CPython 3.6m Windows x86-64

scipy-1.5.1-cp36-cp36m-win32.whl (28.2 MB view details)

Uploaded CPython 3.6m Windows x86

scipy-1.5.1-cp36-cp36m-manylinux1_x86_64.whl (25.9 MB view details)

Uploaded CPython 3.6m

scipy-1.5.1-cp36-cp36m-manylinux1_i686.whl (22.8 MB view details)

Uploaded CPython 3.6m

scipy-1.5.1-cp36-cp36m-macosx_10_9_x86_64.whl (28.8 MB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file scipy-1.5.1.tar.gz.

File metadata

  • Download URL: scipy-1.5.1.tar.gz
  • Upload date:
  • Size: 25.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.4

File hashes

Hashes for scipy-1.5.1.tar.gz
Algorithm Hash digest
SHA256 039572f0ca9578a466683558c5bf1e65d442860ec6e13307d528749cfe6d07b8
MD5 f6986798b7d22ffc5f80b749d7ec27ca
BLAKE2b-256 8a6c7777c60626cf620ce24d6349af69f3d2a4f298729d688cc4cd9528ae3c61

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.5.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: scipy-1.5.1-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/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.4

File hashes

Hashes for scipy-1.5.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 c06e731aa46c0dfc563cc636155758178ebc019ef78b9b0f4370effe2ac0f0e6
MD5 a626585d08b0991c8f2df0caacdf9997
BLAKE2b-256 e3ddc6b603e261c828c38ad95b6e902abb27e1797e3bc7a10b92e389bd57eb5a

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.5.1-cp38-cp38-win32.whl.

File metadata

  • Download URL: scipy-1.5.1-cp38-cp38-win32.whl
  • Upload date:
  • Size: 28.4 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.4

File hashes

Hashes for scipy-1.5.1-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 57a0f2be3063dbe1e3daf31ec9005576e8fd1022a28159d0db71d14566899d16
MD5 2aa8b6ddceaebe7b33d71dbad0e208cc
BLAKE2b-256 7b22015683f075ec6db529ab6450e9cd5cd14abd8c5277fa14d89ba81aabb817

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.5.1-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: scipy-1.5.1-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 25.8 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.4

File hashes

Hashes for scipy-1.5.1-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 06b19a650471781056c1a2172eeeeb777b8b516e9434005dd392a4559e0938b9
MD5 00181f52a7917d1c3d50e42a76a6df96
BLAKE2b-256 e5dc33034dee168361cdd99c712a6492e68ff782eaa9c6b2c1b9137f38439864

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.5.1-cp38-cp38-manylinux1_i686.whl.

File metadata

  • Download URL: scipy-1.5.1-cp38-cp38-manylinux1_i686.whl
  • Upload date:
  • Size: 22.7 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.4

File hashes

Hashes for scipy-1.5.1-cp38-cp38-manylinux1_i686.whl
Algorithm Hash digest
SHA256 9323d268775991b79690f7b9a28a4e8b8c4f2b160ed9f8a90123127314e2d3c1
MD5 8a65b30ccd72409704d3300922da2b7f
BLAKE2b-256 b833805d77e1ded9400a222b7b58c516b7f0300adea2b9b34bc5840ad715457a

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.5.1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: scipy-1.5.1-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 28.9 MB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.4

File hashes

Hashes for scipy-1.5.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 71742889393a724dfce755b6b61228677873d269a4234e51ddaf08b998433c91
MD5 cceb059d0cf6a70e62452deb5571ba00
BLAKE2b-256 640362dd5df2216486be69beae8071ba1a8663361e2fb86abd22563aa03e2dee

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.5.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: scipy-1.5.1-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/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.4

File hashes

Hashes for scipy-1.5.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 c05c6fe76228cc13c5214e9faf5f2a871a1da54473bc417ab9da310d0e5fff8b
MD5 2ca8c59a6712e91ac78b8540ab694b53
BLAKE2b-256 60ade08d41cd6a7d34d60b524fb5e59c020a560199cbc32462576e85fea5c68a

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.5.1-cp37-cp37m-win32.whl.

File metadata

  • Download URL: scipy-1.5.1-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 28.2 MB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.4

File hashes

Hashes for scipy-1.5.1-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 81859ed3aad620752dd2c07c32b5d3a80a0d47c5e3813904621954a78a0ae899
MD5 5da68faf5b32c539d1cb5390df010cc8
BLAKE2b-256 cef97920c03d993ca63de15fb817ef9b049da7649f03d9821f5f41195e952bee

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.5.1-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: scipy-1.5.1-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 25.9 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.4

File hashes

Hashes for scipy-1.5.1-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 fff15df01bef1243468be60c55178ed7576270b200aab08a7ffd5b8e0bbc340c
MD5 6a18a9636342574ae55d3a80136c550c
BLAKE2b-256 3045ff9df4beceab76f979ee0ea7f5d248596aa5b0c179aa3d30589a3f4549eb

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.5.1-cp37-cp37m-manylinux1_i686.whl.

File metadata

  • Download URL: scipy-1.5.1-cp37-cp37m-manylinux1_i686.whl
  • Upload date:
  • Size: 22.8 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.4

File hashes

Hashes for scipy-1.5.1-cp37-cp37m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 eb46d8b5947ca27b0bc972cecfba8130f088a83ab3d08c1a6033d9070b3046b3
MD5 f2d5c8713b087545c5ec19cc8e46212c
BLAKE2b-256 72277e87ca166b10acfdd34b7e6d2ff7078c64c5effdadefd15c15c30b328d13

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.5.1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: scipy-1.5.1-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/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.4

File hashes

Hashes for scipy-1.5.1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b4858ccbd88f4b53950fb9fc0069c1d9fea83d7cff2382e1d8b023d3f4883014
MD5 83479a6de66a6bc2da0990fa71cf3cec
BLAKE2b-256 e3e92141008f9f691a40951dd732a0eebf6f37093904a803e1fd1c8807dc0e23

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.5.1-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: scipy-1.5.1-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/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.4

File hashes

Hashes for scipy-1.5.1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 5e0bb43ff581811ab7f27425f6b96c1ddf7591ccad2e486c9af0b910c18f7185
MD5 9edc3a9aedf6bffccb17101c905126d0
BLAKE2b-256 12001dc9fec03087160e89fd5a8826fd3191090694b22451c5bd3dda9e9f3d3d

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.5.1-cp36-cp36m-win32.whl.

File metadata

  • Download URL: scipy-1.5.1-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 28.2 MB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.4

File hashes

Hashes for scipy-1.5.1-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 35d042d6499caf1a5d171baed0ebf01eb665b7af2ad98a8ff1b0e6e783654540
MD5 baad02c954e85e7fd3d4a9fd49fc6359
BLAKE2b-256 86e8a83e44d9629e9f122acece0b2d2017810db5dd303e404432d091a57414ae

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.5.1-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: scipy-1.5.1-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 25.9 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.4

File hashes

Hashes for scipy-1.5.1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 8302d69fb1528ea7c7f2a1ea640d354c981b6eb8192d1c175349874209397604
MD5 c4dd717a3a0c3fe64380039e4fda663f
BLAKE2b-256 abf96eeed6d5cd8dd435bbf105d10d778c2d76de1a5838fdbc315a59fb7fad64

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.5.1-cp36-cp36m-manylinux1_i686.whl.

File metadata

  • Download URL: scipy-1.5.1-cp36-cp36m-manylinux1_i686.whl
  • Upload date:
  • Size: 22.8 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.4

File hashes

Hashes for scipy-1.5.1-cp36-cp36m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 7908c85854c5b5b6d3ce7fefafac1ca3e23ff9ac41edabc2d46ae5dc9fa070ac
MD5 0190c11f75ed28a7e56050182ca95a18
BLAKE2b-256 bec09d34c8297de4cfc4db02cc84849807f68ddc2e6cf92a42afa270c93267d2

See more details on using hashes here.

Provenance

File details

Details for the file scipy-1.5.1-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: scipy-1.5.1-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/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.4

File hashes

Hashes for scipy-1.5.1-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 058e84930407927f71963a4ad8c1dc96c4d2d075636a68578195648c81f78810
MD5 b71e8115d61c604cc65e5ecc556131f6
BLAKE2b-256 12d8010f2111706a06082c7b8fd8d138a012a3ce95d3f74caeaaa6084fefb479

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