Fundamental algorithms for scientific computing in Python

Navigation

Verified details

These details have been verified by PyPI
Owner
Maintainers
Avatar for matthew.brett from gravatar.com matthew.brett Avatar for pv from gravatar.com pv Avatar for rgommers from gravatar.com rgommers Avatar for rkern from gravatar.com rkern Avatar for teoliphant from gravatar.com teoliphant Avatar for treddy from gravatar.com treddy

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (Copyright (c) 2001-2002 Enthought, Inc. 2003-2024, SciPy Developers. All rights reserved. Redistrib...)
  • Maintainer: SciPy Developers
  • Requires: Python >=3.10
  • Provides-Extra: test, doc, dev
Classifiers
Report project as malware

Project description

https://raw.githubusercontent.com/scipy/scipy/main/doc/source/_static/logo.svg https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A https://img.shields.io/pypi/dm/scipy.svg?label=Pypi%20downloads https://img.shields.io/conda/dn/conda-forge/scipy.svg?label=Conda%20downloads https://img.shields.io/badge/stackoverflow-Ask%20questions-blue.svg https://img.shields.io/badge/DOI-10.1038%2Fs41592--019--0686--2-blue.svg

SciPy (pronounced “Sigh Pie”) is an open-source software for mathematics, science, and engineering. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more.

SciPy 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!

For the installation instructions, see our install guide.

Call for Contributions

We appreciate and welcome contributions. Small improvements or fixes are always appreciated; issues labeled as “good first issue” may be a good starting point. Have a look at our contributing guide.

Writing code isn’t the only way to contribute to SciPy. You can also:

  • review pull requests

  • triage issues

  • develop tutorials, presentations, and other educational materials

  • maintain and improve our website

  • develop graphic design for our brand assets and promotional materials

  • help with outreach and onboard new contributors

  • write grant proposals and help with other fundraising efforts

If you’re unsure where to start or how your skills fit in, reach out! You can ask on the forum or here, on GitHub, by leaving a comment on a relevant issue that is already open.

If you are new to contributing to open source, this guide helps explain why, what, and how to get involved.

Project details

Verified details

These details have been verified by PyPI
Owner
Maintainers
Avatar for matthew.brett from gravatar.com matthew.brett Avatar for pv from gravatar.com pv Avatar for rgommers from gravatar.com rgommers Avatar for rkern from gravatar.com rkern Avatar for teoliphant from gravatar.com teoliphant Avatar for treddy from gravatar.com treddy

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (Copyright (c) 2001-2002 Enthought, Inc. 2003-2024, SciPy Developers. All rights reserved. Redistrib...)
  • Maintainer: SciPy Developers
  • Requires: Python >=3.10
  • Provides-Extra: test, doc, dev
Classifiers

Release history Release notifications | RSS feed

This version

1.15.3

1.15.2

1.15.1

1.15.0

1.15.0rc2 pre-release

1.15.0rc1 pre-release

1.14.1

1.14.0

1.14.0rc2 pre-release

1.14.0rc1 pre-release yanked

Reason this release was yanked:

macOS wheels are broken

1.13.1

1.13.0

1.13.0rc1 pre-release

1.12.0

1.12.0rc2 pre-release

1.12.0rc1 pre-release

1.11.4

1.11.3

1.11.2

1.11.1

1.11.0 yanked

Reason this release was yanked:

License Violation

1.11.0rc2 pre-release

1.11.0rc1 pre-release

1.10.1

1.10.0

1.10.0rc2 pre-release

1.10.0rc1 pre-release

1.9.3

1.9.2

1.9.1

1.9.0

1.9.0rc3 pre-release

1.9.0rc2 pre-release

1.9.0rc1 pre-release

1.8.1

1.8.0

1.8.0rc4 pre-release

1.8.0rc3 pre-release

1.8.0rc2 pre-release

1.8.0rc1 pre-release

1.7.3

1.7.2

1.7.1

1.7.0

1.6.3

1.6.2

1.6.1

1.6.0

1.5.4

1.5.3

1.5.2

1.5.1

1.5.0

1.4.1

1.4.0

1.3.3

1.3.2

1.3.1

1.3.0

1.2.3

1.2.2

1.2.1

1.2.0

1.1.0

1.0.1

1.0.0

0.19.1

0.19.0

0.18.1

0.18.0

0.17.1

0.17.0

0.16.1

0.16.0

0.15.1

0.15.0

0.14.1

0.14.0

0.13.3

0.13.2

0.13.1

0.13.0

0.12.1

0.12.0

0.11.0

0.10.1

0.10.0

0.9.0

0.8.0

0.7.2

0.7.0

0.6.0

0.5.2

0.4.4

Download files

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

Source Distribution

scipy-1.15.3.tar.gz (59.4 MB view details)

Uploaded Source

Built Distributions

scipy-1.15.3-cp313-cp313t-win_amd64.whl (40.3 MB view details)

Uploaded CPython 3.13t Windows x86-64

scipy-1.15.3-cp313-cp313t-musllinux_1_2_x86_64.whl (39.0 MB view details)

Uploaded CPython 3.13t musllinux: musl 1.2+ x86-64

scipy-1.15.3-cp313-cp313t-musllinux_1_2_aarch64.whl (36.4 MB view details)

Uploaded CPython 3.13t musllinux: musl 1.2+ ARM64

scipy-1.15.3-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (36.7 MB view details)

Uploaded CPython 3.13t manylinux: glibc 2.17+ x86-64

scipy-1.15.3-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (34.8 MB view details)

Uploaded CPython 3.13t manylinux: glibc 2.17+ ARM64

scipy-1.15.3-cp313-cp313t-macosx_14_0_x86_64.whl (25.2 MB view details)

Uploaded CPython 3.13t macOS 14.0+ x86-64

scipy-1.15.3-cp313-cp313t-macosx_14_0_arm64.whl (22.5 MB view details)

Uploaded CPython 3.13t macOS 14.0+ ARM64

scipy-1.15.3-cp313-cp313t-macosx_12_0_arm64.whl (30.3 MB view details)

Uploaded CPython 3.13t macOS 12.0+ ARM64

scipy-1.15.3-cp313-cp313t-macosx_10_13_x86_64.whl (38.9 MB view details)

Uploaded CPython 3.13t macOS 10.13+ x86-64

scipy-1.15.3-cp313-cp313-win_amd64.whl (41.0 MB view details)

Uploaded CPython 3.13 Windows x86-64

scipy-1.15.3-cp313-cp313-musllinux_1_2_x86_64.whl (39.7 MB view details)

Uploaded CPython 3.13 musllinux: musl 1.2+ x86-64

scipy-1.15.3-cp313-cp313-musllinux_1_2_aarch64.whl (36.9 MB view details)

Uploaded CPython 3.13 musllinux: musl 1.2+ ARM64

scipy-1.15.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (37.3 MB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ x86-64

scipy-1.15.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (35.2 MB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ ARM64

scipy-1.15.3-cp313-cp313-macosx_14_0_x86_64.whl (25.2 MB view details)

Uploaded CPython 3.13 macOS 14.0+ x86-64

scipy-1.15.3-cp313-cp313-macosx_14_0_arm64.whl (22.4 MB view details)

Uploaded CPython 3.13 macOS 14.0+ ARM64

scipy-1.15.3-cp313-cp313-macosx_12_0_arm64.whl (30.1 MB view details)

Uploaded CPython 3.13 macOS 12.0+ ARM64

scipy-1.15.3-cp313-cp313-macosx_10_13_x86_64.whl (38.7 MB view details)

Uploaded CPython 3.13 macOS 10.13+ x86-64

scipy-1.15.3-cp312-cp312-win_amd64.whl (41.0 MB view details)

Uploaded CPython 3.12 Windows x86-64

scipy-1.15.3-cp312-cp312-musllinux_1_2_x86_64.whl (39.7 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.2+ x86-64

scipy-1.15.3-cp312-cp312-musllinux_1_2_aarch64.whl (36.9 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.2+ ARM64

scipy-1.15.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (37.3 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

scipy-1.15.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (35.2 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

scipy-1.15.3-cp312-cp312-macosx_14_0_x86_64.whl (25.2 MB view details)

Uploaded CPython 3.12 macOS 14.0+ x86-64

scipy-1.15.3-cp312-cp312-macosx_14_0_arm64.whl (22.4 MB view details)

Uploaded CPython 3.12 macOS 14.0+ ARM64

scipy-1.15.3-cp312-cp312-macosx_12_0_arm64.whl (30.2 MB view details)

Uploaded CPython 3.12 macOS 12.0+ ARM64

scipy-1.15.3-cp312-cp312-macosx_10_13_x86_64.whl (38.8 MB view details)

Uploaded CPython 3.12 macOS 10.13+ x86-64

scipy-1.15.3-cp311-cp311-win_amd64.whl (41.2 MB view details)

Uploaded CPython 3.11 Windows x86-64

scipy-1.15.3-cp311-cp311-musllinux_1_2_x86_64.whl (40.0 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ x86-64

scipy-1.15.3-cp311-cp311-musllinux_1_2_aarch64.whl (37.2 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ ARM64

scipy-1.15.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (37.7 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

scipy-1.15.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (35.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

scipy-1.15.3-cp311-cp311-macosx_14_0_x86_64.whl (25.2 MB view details)

Uploaded CPython 3.11 macOS 14.0+ x86-64

scipy-1.15.3-cp311-cp311-macosx_14_0_arm64.whl (22.4 MB view details)

Uploaded CPython 3.11 macOS 14.0+ ARM64

scipy-1.15.3-cp311-cp311-macosx_12_0_arm64.whl (30.1 MB view details)

Uploaded CPython 3.11 macOS 12.0+ ARM64

scipy-1.15.3-cp311-cp311-macosx_10_13_x86_64.whl (38.7 MB view details)

Uploaded CPython 3.11 macOS 10.13+ x86-64

scipy-1.15.3-cp310-cp310-win_amd64.whl (41.3 MB view details)

Uploaded CPython 3.10 Windows x86-64

scipy-1.15.3-cp310-cp310-musllinux_1_2_x86_64.whl (40.0 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ x86-64

scipy-1.15.3-cp310-cp310-musllinux_1_2_aarch64.whl (37.2 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ ARM64

scipy-1.15.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (37.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

scipy-1.15.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (35.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

scipy-1.15.3-cp310-cp310-macosx_14_0_x86_64.whl (25.1 MB view details)

Uploaded CPython 3.10 macOS 14.0+ x86-64

scipy-1.15.3-cp310-cp310-macosx_14_0_arm64.whl (22.4 MB view details)

Uploaded CPython 3.10 macOS 14.0+ ARM64

scipy-1.15.3-cp310-cp310-macosx_12_0_arm64.whl (30.1 MB view details)

Uploaded CPython 3.10 macOS 12.0+ ARM64

scipy-1.15.3-cp310-cp310-macosx_10_13_x86_64.whl (38.7 MB view details)

Uploaded CPython 3.10 macOS 10.13+ x86-64

File details

Details for the file scipy-1.15.3.tar.gz.

File metadata

  • Download URL: scipy-1.15.3.tar.gz
  • Upload date:
  • Size: 59.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.15

File hashes

Hashes for scipy-1.15.3.tar.gz
Algorithm Hash digest
SHA256 eae3cf522bc7df64b42cad3925c876e1b0b6c35c1337c93e12c0f366f55b0eaf
MD5 8959dabb9bf7b10075eecd08b708e573
BLAKE2b-256 0f376964b830433e654ec7485e45a00fc9a27cf868d622838f6b6d9c5ec0d532

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp313-cp313t-win_amd64.whl.

File metadata

  • Download URL: scipy-1.15.3-cp313-cp313t-win_amd64.whl
  • Upload date:
  • Size: 40.3 MB
  • Tags: CPython 3.13t, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.15

File hashes

Hashes for scipy-1.15.3-cp313-cp313t-win_amd64.whl
Algorithm Hash digest
SHA256 76ad1fb5f8752eabf0fa02e4cc0336b4e8f021e2d5f061ed37d6d264db35e3ca
MD5 bdbbb97ba810030caa1452641c4d34fb
BLAKE2b-256 81060a5e5349474e1cbc5757975b21bd4fad0e72ebf138c5592f191646154e06

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp313-cp313t-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp313-cp313t-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 5e721fed53187e71d0ccf382b6bf977644c533e506c4d33c3fb24de89f5c3ed5
MD5 5a7e101c475fdce1e1443e78a1118a5c
BLAKE2b-256 107e5c12285452970be5bdbe8352c619250b97ebf7917d7a9a9e96b8a8140f17

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp313-cp313t-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp313-cp313t-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 40e54d5c7e7ebf1aa596c374c49fa3135f04648a0caabcb66c52884b943f02b4
MD5 98171c0cd233ffe805babad8b96060b8
BLAKE2b-256 b78e038ccfe29d272b30086b25a4960f757f97122cb2ec42e62b460d02fe98e9

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9db984639887e3dffb3928d118145ffe40eff2fa40cb241a306ec57c219ebbbb
MD5 2b92f8a93b4626e9eb935cf0acd66bad
BLAKE2b-256 e1fe9c4361e7ba2927074360856db6135ef4904d505e9b3afbbcb073c4008328

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0a769105537aa07a69468a0eefcd121be52006db61cdd8cac8a0e68980bbb723
MD5 803c2ac9ac02e3fa5f2fa8a3a1bfd64f
BLAKE2b-256 24189e5374b617aba742a990581373cd6b68a2945d65cc588482749ef2e64467

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp313-cp313t-macosx_14_0_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp313-cp313t-macosx_14_0_x86_64.whl
Algorithm Hash digest
SHA256 14ed70039d182f411ffc74789a16df3835e05dc469b898233a245cdfd7f162cb
MD5 4394d2edb855c145be6c60c505731971
BLAKE2b-256 e729c278f699b095c1a884f29fda126340fcc201461ee8bfea5c8bdb1c7c958b

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp313-cp313t-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp313-cp313t-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 50f9e62461c95d933d5c5ef4a1f2ebf9a2b4e83b0db374cb3f1de104d935922e
MD5 2281faecc120444a82f2c5aaf4152df3
BLAKE2b-256 e59bf32d1d6093ab9eeabbd839b0f7619c62e46cc4b7b6dbf05b6e615bbd4400

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp313-cp313t-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp313-cp313t-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 6487aa99c2a3d509a5227d9a5e889ff05830a06b2ce08ec30df6d79db5fcd5c5
MD5 c4938a12254670ec79183ea9670226ba
BLAKE2b-256 51d1226a806bbd69f62ce5ef5f3ffadc35286e9fbc802f606a07eb83bf2359de

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp313-cp313t-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp313-cp313t-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 3ac07623267feb3ae308487c260ac684b32ea35fd81e12845039952f558047b8
MD5 a947511610e5cda17f29891ceecc97c6
BLAKE2b-256 1be97a879c137f7e55b30d75d90ce3eb468197646bc7b443ac036ae3fe109055

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: scipy-1.15.3-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 41.0 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.15

File hashes

Hashes for scipy-1.15.3-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 b90ab29d0c37ec9bf55424c064312930ca5f4bde15ee8619ee44e69319aab163
MD5 c196b0c56b0e9234ef29d65c9ea53c6f
BLAKE2b-256 872e892ad2862ba54f084ffe8cc4a22667eaf9c2bcec6d2bff1d15713c6c0703

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp313-cp313-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp313-cp313-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 f77f853d584e72e874d87357ad70f44b437331507d1c311457bed8ed2b956126
MD5 ffcc1197f89ae9b5956fd0153fba5937
BLAKE2b-256 fe544379be86dd74b6ad81551689107360d9a3e18f24d20767a2d5b9253a3f0a

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp313-cp313-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp313-cp313-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 dde4fc32993071ac0c7dd2d82569e544f0bdaff66269cb475e0f369adad13f11
MD5 08ff73566ddd41399f4bcb3e6d78ccb8
BLAKE2b-256 770aeac00ff741f23bcabd352731ed9b8995a0a60ef57f5fd788d611d43d69a1

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c9deabd6d547aee2c9a81dee6cc96c6d7e9a9b1953f74850c179f91fdc729cb7
MD5 360c7894e9aaa61039341d02f867e1cf
BLAKE2b-256 b509c5b6734a50ad4882432b6bb7c02baf757f5b2f256041da5df242e2d7e6b6

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 79167bba085c31f38603e11a267d862957cbb3ce018d8b38f79ac043bc92d825
MD5 2286341858c89b539b0c8ce4090d7f36
BLAKE2b-256 a266a9618b6a435a0f0c0b8a6d0a2efb32d4ec5a85f023c2b79d39512040355b

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp313-cp313-macosx_14_0_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp313-cp313-macosx_14_0_x86_64.whl
Algorithm Hash digest
SHA256 0bdd905264c0c9cfa74a4772cdb2070171790381a5c4d312c973382fc6eaf730
MD5 a736d9cbbef72c954e1136f079c68637
BLAKE2b-256 08f5456f56bbbfccf696263b47095291040655e3cbaf05d063bdc7c7517f32ac

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp313-cp313-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp313-cp313-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 8c9ed3ba2c8a2ce098163a9bdb26f891746d02136995df25227a20e71c396ebb
MD5 3439cdb9537fd4071b3f8e1921ca268d
BLAKE2b-256 5bd859e452c0a255ec352bd0a833537a3bc1bfb679944c4938ab375b0a6b3a3e

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp313-cp313-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp313-cp313-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 7e11270a000969409d37ed399585ee530b9ef6aa99d50c019de4cb01e8e54e62
MD5 9e4938b68ea924783b23035d3cdf50db
BLAKE2b-256 74cd1aef2184948728b4b6e21267d53b3339762c285a46a274ebb7863c9e4742

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp313-cp313-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp313-cp313-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 2c620736bcc334782e24d173c0fdbb7590a0a436d2fdf39310a8902505008759
MD5 0881a6c75cce26b7037e141fa59e1f78
BLAKE2b-256 7318ec27848c9baae6e0d6573eda6e01a602e5649ee72c27c3a8aad673ebecfd

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: scipy-1.15.3-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 41.0 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.15

File hashes

Hashes for scipy-1.15.3-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 52092bc0472cfd17df49ff17e70624345efece4e1a12b23783a1ac59a1b728ed
MD5 4ce624e65ff4f034712efdf47b52a21c
BLAKE2b-256 e6eb3bf6ea8ab7f1503dca3a10df2e4b9c3f6b3316df07f6c0ded94b281c7101

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 0ff17c0bb1cb32952c09217d8d1eed9b53d1463e5f1dd6052c7857f83127d539
MD5 4ee02a4d206c4d01c5bacf78b211bafa
BLAKE2b-256 2e2e025e39e339f5090df1ff266d021892694dbb7e63568edcfe43f892fa381d

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp312-cp312-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp312-cp312-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 6cfd56fc1a8e53f6e89ba3a7a7251f7396412d655bca2aa5611c8ec9a6784a1e
MD5 5f0b4cc73ae0ca74280aab1384b17176
BLAKE2b-256 89b1fbb53137f42c4bf630b1ffdfc2151a62d1d1b903b249f030d2b1c0280af8

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 271e3713e645149ea5ea3e97b57fdab61ce61333f97cfae392c28ba786f9bb49
MD5 f3e2694430304abeb02e7f0da6434ed7
BLAKE2b-256 0b1f03f52c282437a168ee2c7c14a1a0d0781a9a4a8962d84ac05c06b4c5b555

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c05045d8b9bfd807ee1b9f38761993297b10b245f012b11b13b91ba8945f7e45
MD5 bc80f87191da9529ae499013e28a1421
BLAKE2b-256 5630a6f08f84ee5b7b28b4c597aca4cbe545535c39fe911845a96414700b64ba

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp312-cp312-macosx_14_0_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp312-cp312-macosx_14_0_x86_64.whl
Algorithm Hash digest
SHA256 06efcba926324df1696931a57a176c80848ccd67ce6ad020c810736bfd58eb1c
MD5 c0e551914d5c6a37b10fbc4a97f5bae8
BLAKE2b-256 af430bce905a965f36c58ff80d8bea33f1f9351b05fad4beaad4eae34699b7a1

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp312-cp312-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp312-cp312-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 05dc6abcd105e1a29f95eada46d4a3f251743cfd7d3ae8ddb4088047f24ea477
MD5 b7bc75bcdcf5ffd533a6f7d82f7d6682
BLAKE2b-256 079c0ddb0d0abdabe0d181c1793db51f02cd59e4901da6f9f7848e1f96759f0d

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp312-cp312-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 185cd3d6d05ca4b44a8f1595af87f9c372bb6acf9c808e99aa3e9aa03bd98cf6
MD5 3733a2af48ea0ed433b0723263b15cc7
BLAKE2b-256 7b7ef30be3d03de07f25dc0ec926d1681fed5c732d759ac8f51079708c79e680

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 6ac6310fdbfb7aa6612408bd2f07295bcbd3fda00d2d702178434751fe48e019
MD5 ab6eb219a39d1f9f7e6c6aefe33a7955
BLAKE2b-256 374b683aa044c4162e10ed7a7ea30527f2cbd92e6999c10a8ed8edb253836e9c

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: scipy-1.15.3-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 41.2 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.15

File hashes

Hashes for scipy-1.15.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 ae48a786a28412d744c62fd7816a4118ef97e5be0bee968ce8f0a2fba7acf3bb
MD5 7f3a7a640bb0464caa7fa2f4f6b72348
BLAKE2b-256 aba70ddaf514ce8a8714f6ed243a2b391b41dbb65251affe21ee3077ec45ea9a

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 18aaacb735ab38b38db42cb01f6b92a2d0d4b6aabefeb07f02849e47f8fb3594
MD5 294157fb9c4cf4f95b52483683b07261
BLAKE2b-256 10c04f5f3eeccc235632aab79b27a74a9130c6c35df358129f7ac8b29f562ac7

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp311-cp311-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp311-cp311-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 795c46999bae845966368a3c013e0e00947932d68e235702b5c3f6ea799aa8c9
MD5 df3c502b64fd3d703b63f9e03c8a0bdf
BLAKE2b-256 7e31be59513aa9695519b18e1851bb9e487de66f2d31f835201f1b42f5d4d475

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 39cb9c62e471b1bb3750066ecc3a3f3052b37751c7c3dfd0fd7e48900ed52982
MD5 a6ffbbfc59e2dc650b106bc6688658d2
BLAKE2b-256 bd3789f19c8c05505d0601ed5650156e50eb881ae3918786c8fd7262b4ee66d3

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 721d6b4ef5dc82ca8968c25b111e307083d7ca9091bc38163fb89243e85e3889
MD5 73970d3383514fa4cfc2ace08ce7a40b
BLAKE2b-256 56c51032cdb565f146109212153339f9cb8b993701e9fe56b1c97699eee12586

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp311-cp311-macosx_14_0_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp311-cp311-macosx_14_0_x86_64.whl
Algorithm Hash digest
SHA256 6db907c7368e3092e24919b5e31c76998b0ce1684d51a90943cb0ed1b4ffd6c1
MD5 12066be1a979cd715723471d7d87bad0
BLAKE2b-256 1799f3aaddccf3588bb4aea70ba35328c204cadd89517a1612ecfda5b2dd9d7a

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp311-cp311-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp311-cp311-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 3b0334816afb8b91dab859281b1b9786934392aa3d527cd847e41bb6f45bee65
MD5 bbde6be3db1e9b2946f26a08cc7a3b21
BLAKE2b-256 4bfaa7e5b95afd80d24313307f03624acc65801846fa75599034f8ceb9e2cbf6

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 34716e281f181a02341ddeaad584205bd2fd3c242063bd3423d61ac259ca7eba
MD5 33be0f209916c44ed63e5ca607839d6e
BLAKE2b-256 4a4a66ba30abe5ad1a3ad15bfb0b59d22174012e8056ff448cb1644deccbfed2

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp311-cp311-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp311-cp311-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 993439ce220d25e3696d1b23b233dd010169b62f6456488567e830654ee37a6b
MD5 fecd56e6c3f4933d6c3aa7b4067a45e0
BLAKE2b-256 96ab5cc9f80f28f6a7dff646c5756e559823614a42b1939d86dd0ed550470210

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: scipy-1.15.3-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 41.3 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.15

File hashes

Hashes for scipy-1.15.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 9d61e97b186a57350f6d6fd72640f9e99d5a4a2b8fbf4b9ee9a841eab327dc13
MD5 c80a74fea48b9f229104c45eca20ec42
BLAKE2b-256 d18455bc4881973d3f79b479a5a2e2df61c8c9a04fcb986a213ac9c02cfb659b

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 5380741e53df2c566f4d234b100a484b420af85deb39ea35a1cc1be84ff53a5c
MD5 956c8ce853470ae604d9024a8147c863
BLAKE2b-256 933eb3257cf446f2a3533ed7809757039016b74cd6f38271de91682aa844cfc5

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp310-cp310-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp310-cp310-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 ed7284b21a7a0c8f1b6e5977ac05396c0d008b89e05498c8b7e8f4a1423bba0e
MD5 ed675fda1a185f16999285826e09bb8e
BLAKE2b-256 25e13df8f83cb15f3500478c889be8fb18700813b95e9e087328230b98d547ff

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9e2abc762b0811e09a0d3258abee2d98e0c703eee49464ce0069590846f31d40
MD5 2877ac751222626af605e095540eefbc
BLAKE2b-256 8e6d41991e503e51fc1134502694c5fa7a1671501a17ffa12716a4a9151af3df

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 263961f658ce2165bbd7b99fa5135195c3a12d9bef045345016b8b50c315cb82
MD5 0ddb94c0a7b61d1133e2aa8252ad8776
BLAKE2b-256 db0a92b1de4a7adc7a15dcf5bddc6e191f6f29ee663b30511ce20467ef9b82e4

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp310-cp310-macosx_14_0_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp310-cp310-macosx_14_0_x86_64.whl
Algorithm Hash digest
SHA256 1c832e1bd78dea67d5c16f786681b28dd695a8cb1fb90af2e27580d3d0967e92
MD5 5a0dd140e410d9bd8ef82af217b2728f
BLAKE2b-256 387df457626e3cd3c29b3a49ca115a304cebb8cc6f31b04678f03b216899d3c6

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp310-cp310-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp310-cp310-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 aef683a9ae6eb00728a542b796f52a5477b78252edede72b8327a886ab63293f
MD5 cb5956fc8003ca21fa1a9f54a7714aff
BLAKE2b-256 eab14deb37252311c1acff7f101f6453f0440794f51b6eacb1aad4459a134081

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 ad3432cb0f9ed87477a8d97f03b763fd1d57709f1bbde3c9369b1dff5503b253
MD5 d3886e807dfd1e687013b6f883e40d04
BLAKE2b-256 a06e0c3bf90fae0e910c274db43304ebe25a6b391327f3f10b5dcc638c090795

See more details on using hashes here.

File details

Details for the file scipy-1.15.3-cp310-cp310-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for scipy-1.15.3-cp310-cp310-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 a345928c86d535060c9c2b25e71e87c39ab2f22fc96e9636bd74d1dbf9de448c
MD5 2f7cfc3c47962499ba465060bc9a8c9c
BLAKE2b-256 782f4966032c5f8cc7e6a60f1b2e0ad686293b9474b65246b0c642e3ef3badd0

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