Sage: Open Source Mathematics Software: Sage objects, elements, parents, categories, coercion, metaclasses

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dimpase from gravatar.com dimpase Avatar for kliem from gravatar.com kliem Avatar for saraedum from gravatar.com saraedum Avatar for williamstein from gravatar.com williamstein

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v2 or later (GPLv2+) (GNU General Public License (GPL) v2 or later)
  • Author: The Sage Developers
  • Requires: Python <3.12, >=3.9
Classifiers

Project description

About SageMath

“Creating a Viable Open Source Alternative to

Magma, Maple, Mathematica, and MATLAB”

Copyright (C) 2005-2023 The Sage Development Team

https://www.sagemath.org

SageMath fully supports all major Linux distributions, recent versions of macOS, and Windows (using Cygwin or Windows Subsystem for Linux).

The traditional and recommended way to install SageMath is from source via Sage-the-distribution (https://www.sagemath.org/download-source.html). Sage-the-distribution first builds a large number of open source packages from source (unless it finds suitable versions installed in the system) and then installs the Sage Library (sagelib, implemented in Python and Cython).

About this experimental pip-installable source distribution

This pip-installable source distribution sagemath-objects is an experimental distribution of a small part of the Sage Library. Use at your own risk. It provides a small, fundamental subset of the modules of the Sage library (“sagelib”, sagemath-standard), making Sage objects, the element/parent framework, categories, the coercion system and the related metaclasses available.

Dependencies

When building from source, development packages of gmp, mpfr, and mpc are needed.

Documentation

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dimpase from gravatar.com dimpase Avatar for kliem from gravatar.com kliem Avatar for saraedum from gravatar.com saraedum Avatar for williamstein from gravatar.com williamstein

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v2 or later (GPLv2+) (GNU General Public License (GPL) v2 or later)
  • Author: The Sage Developers
  • Requires: Python <3.12, >=3.9
Classifiers

Release history Release notifications | RSS feed

10.5b9 pre-release

10.5b8 pre-release

10.5b7 pre-release

10.5b6 pre-release

10.5b5 pre-release

10.5b3 pre-release

10.5b2 pre-release

10.5b1 pre-release

10.5b0 pre-release

10.4

10.4rc4 pre-release

10.4rc3 pre-release

10.4rc2 pre-release

10.4rc1 pre-release

10.4rc0 pre-release

10.4b9 pre-release

10.4b8 pre-release

10.4b7 pre-release

10.4b6 pre-release

10.4b5 pre-release

10.4b4 pre-release

10.4b3 pre-release

10.4b2 pre-release

10.4b1 pre-release

10.4b0 pre-release

10.3

10.3rc4 pre-release

10.3rc3 pre-release

10.3rc2 pre-release

10.3rc1 pre-release

10.3rc0 pre-release

10.3b8 pre-release

10.3b7 pre-release

10.3b6 pre-release

10.3b5 pre-release

10.3b4 pre-release

10.3b3 pre-release

10.3b2 pre-release

10.3b1 pre-release

10.3b0 pre-release

This version

10.2

10.2rc5 pre-release

10.2rc4 pre-release

10.2rc3 pre-release

10.2rc2 pre-release

10.2rc1 pre-release

10.2rc0 pre-release

10.2b9 pre-release

10.2b8 pre-release

10.2b7 pre-release

10.2b6 pre-release

10.2b5 pre-release

10.2b4 pre-release

10.2b3 pre-release

10.2b2 pre-release

10.2b1 pre-release

10.2b0 pre-release

10.1

10.1rc0 pre-release

10.1b9 pre-release

10.1b7 pre-release

10.1b6 pre-release

10.1b5 pre-release

10.1b4 pre-release

10.1b3 pre-release

10.1b2 pre-release

10.1b1 pre-release

10.1b0 pre-release

10.0

10.0rc3 pre-release

10.0rc2 pre-release

10.0rc1 pre-release

10.0rc0 pre-release

10.0b9 pre-release

10.0b8 pre-release

10.0b7 pre-release

10.0b6 pre-release

10.0b5 pre-release

10.0b4 pre-release

10.0b2 pre-release

10.0b1 pre-release

10.0b0 pre-release

9.8

9.8rc0 pre-release

9.8b7 pre-release

9.8b6 pre-release

9.8b5 pre-release

9.8b4 pre-release

9.8b3 pre-release

9.8b2 pre-release

9.8b1 pre-release

9.8b0 pre-release

9.7

9.7rc2 pre-release

9.7rc1 pre-release

9.7rc0 pre-release

9.7b8 pre-release

9.7b7 pre-release

9.7b6 pre-release

9.7b5 pre-release

9.7b4 pre-release

9.7b3 pre-release

9.7b0 pre-release

9.6

9.6rc4 pre-release

9.6rc3.post4 pre-release

9.6rc3.post3 pre-release

9.6rc3.post2 pre-release

9.6rc3.post1 pre-release

9.6rc3 pre-release

9.6rc2 pre-release

9.6rc1 pre-release

9.6rc0 pre-release

9.6b7 pre-release

9.6b6 pre-release

9.6b5 pre-release

9.6b4 pre-release

9.6b3 pre-release

9.6b2 pre-release

9.6b1 pre-release

9.6b0 pre-release

9.5b7.post3 pre-release

9.5b7.post2 pre-release

9.5b7.post1 pre-release

9.5b7 pre-release

9.5b6 pre-release

9.4

9.4rc2 pre-release

9.4rc1 pre-release

Download files

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

Source Distribution

sagemath-objects-10.2.tar.gz (660.8 kB view details)

Uploaded Source

Built Distributions

sagemath_objects-10.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.9 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

sagemath_objects-10.2-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (15.3 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

sagemath_objects-10.2-cp311-cp311-macosx_10_9_x86_64.whl (4.6 MB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

sagemath_objects-10.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

sagemath_objects-10.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (14.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

sagemath_objects-10.2-cp310-cp310-macosx_10_9_x86_64.whl (4.6 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

sagemath_objects-10.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

sagemath_objects-10.2-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (14.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

sagemath_objects-10.2-cp39-cp39-macosx_10_9_x86_64.whl (4.6 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

File details

Details for the file sagemath-objects-10.2.tar.gz.

File metadata

  • Download URL: sagemath-objects-10.2.tar.gz
  • Upload date:
  • Size: 660.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for sagemath-objects-10.2.tar.gz
Algorithm Hash digest
SHA256 ed6b1342510f609b0b6ca7de3ee3cebf5c007ff2976f4915ac03d6d4b058df6e
MD5 23741b75f4168967fd370dac35d56259
BLAKE2b-256 1234f5d845f8e099e0aa4a70628a51eb06b0c7df9c812efd49a7dac32b3d66a1

See more details on using hashes here.

File details

Details for the file sagemath_objects-10.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for sagemath_objects-10.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8e25857fe9beff73baa786f7593c8f5ffe4b94e04c099c9d8652269c0b20eca3
MD5 74c7891c4236122908bae864c3310878
BLAKE2b-256 06a87a3e099ce36e0bc59953c1523dd18e0ffc1d991ea7f5c84c6176588b6441

See more details on using hashes here.

File details

Details for the file sagemath_objects-10.2-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for sagemath_objects-10.2-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 53bc3c0d9ba7ab144868a085d46508929898d4da8048b4b7f5177ea6d1601b38
MD5 137a15efd5f9597d13bc2ef8748a367b
BLAKE2b-256 50b1dd7d787b064645e143980a1c6a30edf4932a3d052a1ca309a77a4f33acda

See more details on using hashes here.

File details

Details for the file sagemath_objects-10.2-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for sagemath_objects-10.2-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 4dce2d459b687c5ada71e36cc08ad4cba728075dd2a4b37fb86af72a84ddfbe1
MD5 5db5e6a814d3d1b2598de1c86f118dae
BLAKE2b-256 24a21176bf915ca6bf220ce62729d729ed0d2e6a5e39a002ed35ff6e284ac545

See more details on using hashes here.

File details

Details for the file sagemath_objects-10.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for sagemath_objects-10.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 51328399def3901566b9e32016176cc5e9f5225af25d06e6d7eec7e1f2ae635f
MD5 6c61cf09cd8b3fa72c0e9d209cbe5644
BLAKE2b-256 8285143f4507f52655141647bf3f7e62192e20d5719742c7511f0a5d8187d26b

See more details on using hashes here.

File details

Details for the file sagemath_objects-10.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for sagemath_objects-10.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 2950f43340d35cb8f64751272267dc29b67381f3b651ed608ad1ed2c187b6386
MD5 d037071b889c40344f19a4f051e06abb
BLAKE2b-256 3bd927ff74f13ca74ba3f0cd8e3c99ce8cbd832b0e0300d8e041a824dcecce79

See more details on using hashes here.

File details

Details for the file sagemath_objects-10.2-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for sagemath_objects-10.2-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 248031dcc939bf1be2d76729ae698a69ff227c18e5b66205b502f7e991bd1d75
MD5 b1d5e9bd23682f96d5b52ecc27557257
BLAKE2b-256 0984b5e8e94a76b5af216edc5e629e6d4cc787150b014e4c000a60b3186db93b

See more details on using hashes here.

File details

Details for the file sagemath_objects-10.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for sagemath_objects-10.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d15f46b499b3b2848d4fb7409a6032755406bd5b41d33855c3418f4c9b9216cb
MD5 89a54b0adf05e712c7fb85dc485bc0b2
BLAKE2b-256 d03c4e100d16373e8c373770560ecc32f8fae6adedb1b57ebeac30a4eb118913

See more details on using hashes here.

File details

Details for the file sagemath_objects-10.2-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for sagemath_objects-10.2-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 9071f88a90d95f057fa5f6f11085e461c67e91caef25c567e83edfe86b69a43c
MD5 4d75d67add7b6306911a58b8871b4794
BLAKE2b-256 a4f1ea47ecaf3f36a8f495aad77decb6461bd986952330136e0cb77a74a6735c

See more details on using hashes here.

File details

Details for the file sagemath_objects-10.2-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for sagemath_objects-10.2-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 94cb1e3d6b3bce146b58244bba8349204df68b6f2139a507d9a62cf100c3dfe4
MD5 a009fea5ca808586136af4fe49122f6a
BLAKE2b-256 4dc0cb703c710a1519c732ca7cb62c01284919b26b3a457b54a3cf4ef171edc9

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 Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page