SciPy: Scientific Library for Python

Navigation

Verified details

These details have been verified by PyPI
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
Classifiers

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

Verified details

These details have been verified by PyPI
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
Classifiers

Release history Release notifications | RSS feed

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

This version

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 Distributions

scipy-0.10.1.zip (7.8 MB view details)

Uploaded Source

scipy-0.10.1.tar.gz (6.2 MB view details)

Uploaded Source

Built Distributions

scipy-0.10.1-cp27-cp27mu-manylinux1_x86_64.whl (23.6 MB view details)

Uploaded CPython 2.7mu

scipy-0.10.1-cp27-cp27m-manylinux1_x86_64.whl (23.7 MB view details)

Uploaded CPython 2.7m

scipy-0.10.1-cp26-cp26mu-manylinux1_x86_64.whl (23.7 MB view details)

Uploaded CPython 2.6mu

File details

Details for the file scipy-0.10.1.zip.

File metadata

  • Download URL: scipy-0.10.1.zip
  • Upload date:
  • Size: 7.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for scipy-0.10.1.zip
Algorithm Hash digest
SHA256 6c924671e82dcf4df6b1071834988dfa6e4498191dd8b3689b19c23f9a0a2789
MD5 4156cc1b765eb186de9518a94b6c3518
BLAKE2b-256 4ad54ef01e811dd6d166fdbef558a52725828f6b6ba253edac445d836ab88b1e

See more details on using hashes here.

Provenance

File details

Details for the file scipy-0.10.1.tar.gz.

File metadata

  • Download URL: scipy-0.10.1.tar.gz
  • Upload date:
  • Size: 6.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for scipy-0.10.1.tar.gz
Algorithm Hash digest
SHA256 77cc5c48e3f0c07b8137135538cdb99d596d3cc5c498bb0031fb5ff22eae4aa7
MD5 6ad976549e22e04ca93e70cf55b70a22
BLAKE2b-256 fb06571aa713e585b3529dad8838ce2c67178e68c37c5c838772282c83faea68

See more details on using hashes here.

Provenance

File details

Details for the file scipy-0.10.1-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for scipy-0.10.1-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 6a9f47ae93686eeb456edbca37fadcf6b07e2ba7452d21503e5c0788b56e9b01
MD5 1c0540c0273ba3eb68a8d51b8b122537
BLAKE2b-256 cfd82fcdc72c0e5e893c35f19e6fe784942abaa119b2374abbcb52420e755d3f

See more details on using hashes here.

Provenance

File details

Details for the file scipy-0.10.1-cp27-cp27m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for scipy-0.10.1-cp27-cp27m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 18b572502ce0b17e3b4bfe50dcaea414a98290358a2fa080c36066ba0651ec14
MD5 5621c492b9759f2fde9dcba3352a5721
BLAKE2b-256 5c86cb2a73d13971b023befc40657ff8c38cc8c1dfa11c140921903f9bbfc4a7

See more details on using hashes here.

Provenance

File details

Details for the file scipy-0.10.1-cp26-cp26mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for scipy-0.10.1-cp26-cp26mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 3ae1cfc22d601fd5c5ce33553510d5317b92e930c03c856a5844d7637ddd0119
MD5 f7f63e5ea3960d92e30cf2eab102c32e
BLAKE2b-256 84a32447a921568866fbda5ec3397ad2b0fe8d0cb038801fd75828a1feabe4ff

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