pygamma

A Python wrapper for the GAMMA C++ Library.

These details have not been verified by PyPI

Project links

Homepage

Project description

GAMMA is a C++ library for the simulation of magnetic resonance (NMR, MRS) experiments. It provides a simple and intuitive means to construct simulation programs to suit researchers’ individual needs. GAMMA is an acronym for a General Approach to Magnetic resonance Mathematical Analysis.

PyGamma is a Python wrapper around GAMMA that makes almost all of GAMMA’s API available via Python.

Both GAMMA and PyGamma work on OS X, Linux, and Windows.

Project details

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

This version

4.3.4

Mar 3, 2021

4.3.3

Mar 23, 2016

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

pygamma-4.3.4-cp39-cp39-win_amd64.whl (3.3 MB view hashes)

Uploaded Mar 3, 2021 CPython 3.9 Windows x86-64

pygamma-4.3.4-cp39-cp39-manylinux2014_x86_64.whl (3.6 MB view hashes)

Uploaded Mar 3, 2021 CPython 3.9

pygamma-4.3.4-cp39-cp39-macosx_10_9_x86_64.whl (3.4 MB view hashes)

Uploaded Mar 3, 2021 CPython 3.9 macOS 10.9+ x86-64

pygamma-4.3.4-cp38-cp38-win_amd64.whl (3.3 MB view hashes)

Uploaded Mar 3, 2021 CPython 3.8 Windows x86-64

pygamma-4.3.4-cp38-cp38-manylinux2014_x86_64.whl (3.6 MB view hashes)

Uploaded Mar 3, 2021 CPython 3.8

pygamma-4.3.4-cp38-cp38-macosx_10_9_x86_64.whl (3.4 MB view hashes)

Uploaded Mar 3, 2021 CPython 3.8 macOS 10.9+ x86-64

pygamma-4.3.4-cp37-cp37m-win_amd64.whl (3.3 MB view hashes)

Uploaded Mar 3, 2021 CPython 3.7m Windows x86-64

pygamma-4.3.4-cp37-cp37m-manylinux2014_x86_64.whl (3.6 MB view hashes)

Uploaded Mar 3, 2021 CPython 3.7m

pygamma-4.3.4-cp37-cp37m-macosx_10_9_x86_64.whl (3.4 MB view hashes)

Uploaded Mar 3, 2021 CPython 3.7m macOS 10.9+ x86-64

pygamma-4.3.4-cp27-cp27mu-manylinux2014_x86_64.whl (3.6 MB view hashes)

Uploaded Mar 3, 2021 CPython 2.7mu

pygamma-4.3.4-cp27-cp27m-win_amd64.whl (3.3 MB view hashes)

Uploaded Mar 3, 2021 CPython 2.7m Windows x86-64

pygamma-4.3.4-cp27-cp27m-macosx_10_9_x86_64.whl (3.5 MB view hashes)

Uploaded Mar 3, 2021 CPython 2.7m macOS 10.9+ x86-64

Hashes for pygamma-4.3.4-cp39-cp39-win_amd64.whl

Hashes for pygamma-4.3.4-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`96b525424d33a582e65d842db25a10e6bac2ce9cf33343e2b607b3a9c03e4d6e`
MD5	`54f9cbec4e6f54366ca932fc4ab26ef0`
BLAKE2b-256	`9ffa88007a0fb585c1665eb3bc9b984ba73b6d78281cde75e53e1b7a41551b19`

Hashes for pygamma-4.3.4-cp39-cp39-manylinux2014_x86_64.whl

Hashes for pygamma-4.3.4-cp39-cp39-manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`121ba318763c142f184229f396db9b904536fdb599d2facf4b7ea012e1c9fd95`
MD5	`0bfd946c2284409a04606bce63c76201`
BLAKE2b-256	`6cfbb6222dd61544e67b9fc8086fe4d6cb236fd4f0cd24ecf2e203871e136995`

Hashes for pygamma-4.3.4-cp39-cp39-macosx_10_9_x86_64.whl

Hashes for pygamma-4.3.4-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`5d6481f7ffe7da111f91579a3a59e380bd1ef5ad204a78a8b7c5e6e80984f944`
MD5	`5ca98808a41cf91d13fcaeb3622354c5`
BLAKE2b-256	`37a5d0dcf845585f874205d610aabc236aa7392ae148ca61c0728aa32cf1ef15`

Hashes for pygamma-4.3.4-cp38-cp38-win_amd64.whl

Hashes for pygamma-4.3.4-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`88877410b9ec0862f1953cd4f468d4227e5910ab83644972120879674dedbb16`
MD5	`e37f10337848857479f27aa81eea44bb`
BLAKE2b-256	`bf1922a7b2e94c9c7de92d3db4adac60bda2f8eb911c9f73a2379aeced15d791`

Hashes for pygamma-4.3.4-cp38-cp38-manylinux2014_x86_64.whl

Hashes for pygamma-4.3.4-cp38-cp38-manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`67cc70996ae81ad808207609c89f2f97a8ffe096a6005fbf0c7e08c8ef3e7713`
MD5	`70c4eb277b7381ff51dec3743640b6de`
BLAKE2b-256	`6f94547432e7ab7091f11fd816f63b6ed4e84411f2cb07ed325cf9679684f48e`

Hashes for pygamma-4.3.4-cp38-cp38-macosx_10_9_x86_64.whl

Hashes for pygamma-4.3.4-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`6091afe6b6718fa901a471f6277ad25fb1977fbc4e7b96bdc235a2a1c3e095f1`
MD5	`16058f4d802a737987aeeee26c17e213`
BLAKE2b-256	`607bf21446c46031ee36bd088128489d30206afa955c44f23e6bafdca0fda3c1`

Hashes for pygamma-4.3.4-cp37-cp37m-win_amd64.whl

Hashes for pygamma-4.3.4-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`38d8526a56421435742c5224a984080fc10b2929dc7da78405b251aac2092ad8`
MD5	`f725b15a2f26b85c19f9ddfa17826fc8`
BLAKE2b-256	`e7604af0f30e5f89b12ca8b822e4c97fbdc047b009c3f6e004105dfb55cb3b0b`

Hashes for pygamma-4.3.4-cp37-cp37m-manylinux2014_x86_64.whl

Hashes for pygamma-4.3.4-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`5adf139dbb0b54b5f6eb7b87835a5396d082b86e8fbfd067d51fbdfb58dbce23`
MD5	`0f5ef5623b834fd28c20b837280fed66`
BLAKE2b-256	`9c83b86151778e7062596c93647bc28e9d9e1f09b18342083b64098d44dffe65`

Hashes for pygamma-4.3.4-cp37-cp37m-macosx_10_9_x86_64.whl

Hashes for pygamma-4.3.4-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`085c9c8481d4ef3d5cd1cc3ec16c778cf28f96a5653eeea2822ee2a1e4fc9845`
MD5	`c945f8a90afeafd8bde8ea61e3ffc0bb`
BLAKE2b-256	`852ea9e02822b7f810291f7483841984892ca6866760c1910c63a474fe147284`

Hashes for pygamma-4.3.4-cp27-cp27mu-manylinux2014_x86_64.whl

Hashes for pygamma-4.3.4-cp27-cp27mu-manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`77c9f9554f1d81ccaf6ae2c6ba2be2fe7f591100aed4781e8ce3ff52de4216e1`
MD5	`e7316773c87700cd41bcddaa0e0b3728`
BLAKE2b-256	`6ad0ce6ec91848f9ddf7b4c1cefaca7117f96f818d30164e23e1f5bd23982a23`

Hashes for pygamma-4.3.4-cp27-cp27m-win_amd64.whl

Hashes for pygamma-4.3.4-cp27-cp27m-win_amd64.whl
Algorithm	Hash digest
SHA256	`c19284276d113d786a50b8ca27687d6b79c2b9ba42a3afeef6bddccbb2629379`
MD5	`e3dba7e0f458acbfbb10031456b9b56a`
BLAKE2b-256	`91b10ad20dde4c1ef7154cd1e1d1575eb5a4ee30749549533bbef3040dd73be0`

Hashes for pygamma-4.3.4-cp27-cp27m-macosx_10_9_x86_64.whl

Hashes for pygamma-4.3.4-cp27-cp27m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`bb7636e40f3925fe4f7a542648fbab481799cb46442ad7fd5c8853786f076bf7`
MD5	`b5bb3fe1aee4b9e686026d38b174d8cb`
BLAKE2b-256	`833ae58cdfdb19d0eeded098202fd0931274373597db43c28012d53ba6067738`