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-1.3.0.tar.gz (23.6 MB view details)

Uploaded Source

Built Distributions

scipy-1.3.0-cp37-cp37m-win_amd64.whl (30.3 MB view details)

Uploaded CPython 3.7m Windows x86-64

scipy-1.3.0-cp37-cp37m-win32.whl (27.1 MB view details)

Uploaded CPython 3.7m Windows x86

scipy-1.3.0-cp37-cp37m-manylinux1_x86_64.whl (25.2 MB view details)

Uploaded CPython 3.7m

scipy-1.3.0-cp37-cp37m-manylinux1_i686.whl (21.8 MB view details)

Uploaded CPython 3.7m

scipy-1.3.0-cp37-cp37m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (27.7 MB view details)

Uploaded CPython 3.7m macOS 10.10+ Intel (x86-64, i386) macOS 10.10+ x86-64 macOS 10.6+ Intel (x86-64, i386) macOS 10.9+ Intel (x86-64, i386) macOS 10.9+ x86-64

scipy-1.3.0-cp36-cp36m-win_amd64.whl (30.5 MB view details)

Uploaded CPython 3.6m Windows x86-64

scipy-1.3.0-cp36-cp36m-win32.whl (27.2 MB view details)

Uploaded CPython 3.6m Windows x86

scipy-1.3.0-cp36-cp36m-manylinux1_x86_64.whl (25.2 MB view details)

Uploaded CPython 3.6m

scipy-1.3.0-cp36-cp36m-manylinux1_i686.whl (21.8 MB view details)

Uploaded CPython 3.6m

scipy-1.3.0-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (27.7 MB view details)

Uploaded CPython 3.6m macOS 10.10+ Intel (x86-64, i386) macOS 10.10+ x86-64 macOS 10.6+ Intel (x86-64, i386) macOS 10.9+ Intel (x86-64, i386) macOS 10.9+ x86-64

scipy-1.3.0-cp35-cp35m-win_amd64.whl (30.4 MB view details)

Uploaded CPython 3.5m Windows x86-64

scipy-1.3.0-cp35-cp35m-win32.whl (27.2 MB view details)

Uploaded CPython 3.5m Windows x86

scipy-1.3.0-cp35-cp35m-manylinux1_x86_64.whl (25.1 MB view details)

Uploaded CPython 3.5m

scipy-1.3.0-cp35-cp35m-manylinux1_i686.whl (21.7 MB view details)

Uploaded CPython 3.5m

scipy-1.3.0-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (27.6 MB view details)

Uploaded CPython 3.5m macOS 10.10+ Intel (x86-64, i386) macOS 10.10+ x86-64 macOS 10.6+ Intel (x86-64, i386) macOS 10.9+ Intel (x86-64, i386) macOS 10.9+ x86-64

File details

Details for the file scipy-1.3.0.tar.gz.

File metadata

  • Download URL: scipy-1.3.0.tar.gz
  • Upload date:
  • Size: 23.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.19.1 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8

File hashes

Hashes for scipy-1.3.0.tar.gz
Algorithm Hash digest
SHA256 c3bb4bd2aca82fb498247deeac12265921fe231502a6bc6edea3ee7fe6c40a7a
MD5 c6876673adf7e9e6c0307beaca784ad2
BLAKE2b-256 cb97361c8c6ceb3eb765371a702ea873ff2fe112fa40073e7d2b8199db8eb56e

See more details on using hashes here.

File details

Details for the file scipy-1.3.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: scipy-1.3.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 30.3 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.19.1 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8

File hashes

Hashes for scipy-1.3.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 10325f0ffac2400b1ec09537b7e403419dcd25d9fee602a44e8a32119af9079e
MD5 452157882a9f180914906df9bbf9d7bf
BLAKE2b-256 53179dfd64540b6645fae581462ed2d1c8e680b7e946ca2789c5149693660392

See more details on using hashes here.

File details

Details for the file scipy-1.3.0-cp37-cp37m-win32.whl.

File metadata

  • Download URL: scipy-1.3.0-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 27.1 MB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.19.1 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8

File hashes

Hashes for scipy-1.3.0-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 6c0543f2fdd38dee631fb023c0f31c284a532d205590b393d72009c14847f5b1
MD5 2390fdb5a4330c54c2a5308afe959bb9
BLAKE2b-256 becc6f7842a4d9aa7f51155f849185631e1201df255742de84d724ac33bff723

See more details on using hashes here.

File details

Details for the file scipy-1.3.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: scipy-1.3.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 25.2 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.19.1 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8

File hashes

Hashes for scipy-1.3.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 c5ea60ece0c0c1c849025bfc541b60a6751b491b6f11dd9ef37ab5b8c9041921
MD5 38c5a038504e03b503f7674b30218068
BLAKE2b-256 5dbdc0feba81fb60e231cf40fc8a322ed5873c90ef7711795508692b1481a4ae

See more details on using hashes here.

File details

Details for the file scipy-1.3.0-cp37-cp37m-manylinux1_i686.whl.

File metadata

  • Download URL: scipy-1.3.0-cp37-cp37m-manylinux1_i686.whl
  • Upload date:
  • Size: 21.8 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.19.1 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8

File hashes

Hashes for scipy-1.3.0-cp37-cp37m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 a84c31e8409b420c3ca57fd30c7589378d6fdc8d155d866a7f8e6e80dec6fd06
MD5 260d182114edaed177c64d60776ceee6
BLAKE2b-256 9a389f5aa6814c7062318ba147cbfcddacea71ac15ddf69dced0765fe8fea39d

See more details on using hashes here.

File details

Details for the file scipy-1.3.0-cp37-cp37m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.3.0-cp37-cp37m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 09d008237baabf52a5d4f5a6fcf9b3c03408f3f61a69c404472a16861a73917e
MD5 a1ec52b1b162bb7ae0d0ea76438e35ce
BLAKE2b-256 0466ec5f1283d6a290a9153881a896837487338c44639c1305cc59e1c7b69cc9

See more details on using hashes here.

File details

Details for the file scipy-1.3.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: scipy-1.3.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 30.5 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.19.1 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8

File hashes

Hashes for scipy-1.3.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 c19a7389ab3cd712058a8c3c9ffd8d27a57f3d84b9c91a931f542682bb3d269d
MD5 f62f60ea0397b7aa9a90fb610fc54d33
BLAKE2b-256 9efd9a995b7fc18c6c17ce570b3cfdabffbd2718e4f1830e94777c4fd66e1179

See more details on using hashes here.

File details

Details for the file scipy-1.3.0-cp36-cp36m-win32.whl.

File metadata

  • Download URL: scipy-1.3.0-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 27.2 MB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.19.1 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8

File hashes

Hashes for scipy-1.3.0-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 409846be9d6bdcbd78b9e5afe2f64b2da5a923dd7c1cd0615ce589489533fdbb
MD5 fe130e4cb77078c6a886795bcf1fa66d
BLAKE2b-256 0b27fda16e2b06d6b2202f3c83efc6dea67fbf96aa158d00cc29a8aa6d645e88

See more details on using hashes here.

File details

Details for the file scipy-1.3.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: scipy-1.3.0-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 25.2 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.19.1 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8

File hashes

Hashes for scipy-1.3.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 db61a640ca20f237317d27bc658c1fc54c7581ff7f6502d112922dc285bdabee
MD5 1e5af3fade676e5a588d40d785e7ee4d
BLAKE2b-256 724c5f81e7264b0a7a8bd570810f48cd346ba36faedbd2ba255c873ad556de76

See more details on using hashes here.

File details

Details for the file scipy-1.3.0-cp36-cp36m-manylinux1_i686.whl.

File metadata

  • Download URL: scipy-1.3.0-cp36-cp36m-manylinux1_i686.whl
  • Upload date:
  • Size: 21.8 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.19.1 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8

File hashes

Hashes for scipy-1.3.0-cp36-cp36m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 b283a76a83fe463c9587a2c88003f800e08c3929dfbeba833b78260f9c209785
MD5 03d9c756b5bc836194cd5d13cd73e3fe
BLAKE2b-256 42dfcf4801dc7205d5535ddbdc426daa64a6e2120fb312dbb01d27814c9400a9

See more details on using hashes here.

File details

Details for the file scipy-1.3.0-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.3.0-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 826b9f5fbb7f908a13aa1efd4b7321e36992f5868d5d8311c7b40cf9b11ca0e7
MD5 6762dc85ef6fe357e5710c32451b29a2
BLAKE2b-256 81ae125c21f09b202c3009ad7d9fb0263fb7d6053813d4b67ccbbe4d65f7f53a

See more details on using hashes here.

File details

Details for the file scipy-1.3.0-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: scipy-1.3.0-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 30.4 MB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.19.1 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8

File hashes

Hashes for scipy-1.3.0-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 a7695a378c2ce402405ea37b12c7a338a8755e081869bd6b95858893ceb617ae
MD5 1c53ccff157fe23b165e53fba87c37e0
BLAKE2b-256 ffc564e6312d301c77f2a7acb5e755238bb8ba57e93feaade41ed73334ae2768

See more details on using hashes here.

File details

Details for the file scipy-1.3.0-cp35-cp35m-win32.whl.

File metadata

  • Download URL: scipy-1.3.0-cp35-cp35m-win32.whl
  • Upload date:
  • Size: 27.2 MB
  • Tags: CPython 3.5m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.19.1 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8

File hashes

Hashes for scipy-1.3.0-cp35-cp35m-win32.whl
Algorithm Hash digest
SHA256 03b1e0775edbe6a4c64effb05fff2ce1429b76d29d754aa5ee2d848b60033351
MD5 c7a0ff2b530570feefa8102813fc6dd1
BLAKE2b-256 7aed877f676c9e736b62385d1220602ceee3ca5c574bbb95c582a6b74bf047e2

See more details on using hashes here.

File details

Details for the file scipy-1.3.0-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: scipy-1.3.0-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 25.1 MB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.19.1 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8

File hashes

Hashes for scipy-1.3.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 adadeeae5500de0da2b9e8dd478520d0a9945b577b2198f2462555e68f58e7ef
MD5 752f9cae504e7ea06cd818fc74b829c0
BLAKE2b-256 14498f13fa215e10a7ab0731cc95b0e9bb66cf83c6a98260b154cfbd0b55fb19

See more details on using hashes here.

File details

Details for the file scipy-1.3.0-cp35-cp35m-manylinux1_i686.whl.

File metadata

  • Download URL: scipy-1.3.0-cp35-cp35m-manylinux1_i686.whl
  • Upload date:
  • Size: 21.7 MB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.19.1 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8

File hashes

Hashes for scipy-1.3.0-cp35-cp35m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 1db9f964ed9c52dc5bd6127f0dd90ac89791daa690a5665cc01eae185912e1ba
MD5 54e6fdb6aacbcaeff6dc86fc736cf39a
BLAKE2b-256 94b203c3f3a2e5d07014103370d49415eccaaae2c07c2b25164be6f8a76913c6

See more details on using hashes here.

File details

Details for the file scipy-1.3.0-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.3.0-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 4907040f62b91c2e170359c3d36c000af783f0fa1516a83d6c1517cde0af5340
MD5 209c50a628a624fc82535299f5913d65
BLAKE2b-256 28c1901d7b80bf7793352fd0b2e6a8688d44bf2cba8d8772b8ca25f71f129f77

See more details on using hashes here.

Supported by

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