COPASI Python API

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for frankbergmann.myopenid.com from gravatar.com frankbergmann.myopenid.com

Unverified details

These details have not been verified by PyPI
Project links
Meta

Project description

COPASI is a software application for simulation and analysis of biochemical networks and their dynamics. COPASI is a stand-alone program that supports models in the SBML standard and can simulate their behavior using ODEs or Gillespie’s stochastic simulation algorithm; arbitrary discrete events can be included in such simulations.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for frankbergmann.myopenid.com from gravatar.com frankbergmann.myopenid.com

Unverified details

These details have not been verified by PyPI
Project links
Meta

Release history Release notifications | RSS feed

4.45.296

4.44.295

4.42.284

4.41.283

4.41.281

4.41.280

4.40.278

4.39.272

4.38.268

4.38.265

This version

4.37.264

4.36.260

4.35.258

4.34.251

4.33.246

4.32.245

4.31.243

4.30.240

4.30.233

4.29.227

4.28.226

4.27.214

4.24.197

4.24.196

4.24.188

4.23.184

4.23.179

4.23.173

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

python_copasi-4.37.264-cp310-cp310-win_amd64.whl (6.4 MB view details)

Uploaded CPython 3.10 Windows x86-64

python_copasi-4.37.264-cp310-cp310-win32.whl (5.5 MB view details)

Uploaded CPython 3.10 Windows x86

python_copasi-4.37.264-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

python_copasi-4.37.264-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (11.3 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

python_copasi-4.37.264-cp310-cp310-macosx_11_0_arm64.whl (7.1 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

python_copasi-4.37.264-cp310-cp310-macosx_10_9_x86_64.whl (7.9 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

python_copasi-4.37.264-cp39-cp39-win_amd64.whl (6.4 MB view details)

Uploaded CPython 3.9 Windows x86-64

python_copasi-4.37.264-cp39-cp39-win32.whl (5.5 MB view details)

Uploaded CPython 3.9 Windows x86

python_copasi-4.37.264-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

python_copasi-4.37.264-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (11.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

python_copasi-4.37.264-cp39-cp39-macosx_11_0_arm64.whl (7.1 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

python_copasi-4.37.264-cp39-cp39-macosx_10_9_x86_64.whl (7.9 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

python_copasi-4.37.264-cp38-cp38-win_amd64.whl (6.4 MB view details)

Uploaded CPython 3.8 Windows x86-64

python_copasi-4.37.264-cp38-cp38-win32.whl (5.5 MB view details)

Uploaded CPython 3.8 Windows x86

python_copasi-4.37.264-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

python_copasi-4.37.264-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (11.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

python_copasi-4.37.264-cp38-cp38-macosx_11_0_arm64.whl (7.1 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

python_copasi-4.37.264-cp38-cp38-macosx_10_9_x86_64.whl (7.9 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

python_copasi-4.37.264-cp37-cp37m-win_amd64.whl (6.4 MB view details)

Uploaded CPython 3.7m Windows x86-64

python_copasi-4.37.264-cp37-cp37m-win32.whl (5.5 MB view details)

Uploaded CPython 3.7m Windows x86

python_copasi-4.37.264-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.4 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

python_copasi-4.37.264-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (11.3 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

python_copasi-4.37.264-cp37-cp37m-macosx_10_9_x86_64.whl (7.9 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file python_copasi-4.37.264-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: python_copasi-4.37.264-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 6.4 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.14

File hashes

Hashes for python_copasi-4.37.264-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 bf51cb2f515623731d3e4997a22596901fc84c0a94c72ab919223eded99eaac0
MD5 5afc21f7516cf1f5fd34bd8fa88283b2
BLAKE2b-256 88640bd2d4a359dbf2bc1d0f3d780cb699674cd513b9ffce2ebd47f9968a1767

See more details on using hashes here.

File details

Details for the file python_copasi-4.37.264-cp310-cp310-win32.whl.

File metadata

  • Download URL: python_copasi-4.37.264-cp310-cp310-win32.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.14

File hashes

Hashes for python_copasi-4.37.264-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 f5bbb453e0c8c1809f77cb27541c0b0be170ce5ace7721db97b76ca0f4993654
MD5 1b048af5ce1a586994e635243ee76250
BLAKE2b-256 bd1d1e60e6ac5852315b0228f2a5f551b874e50bf6df7573b31718aef8067776

See more details on using hashes here.

File details

Details for the file python_copasi-4.37.264-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for python_copasi-4.37.264-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c60e08628037975e07561fb23b573233ea14b9a692ef796648fb24d6b155f660
MD5 7dc4bcd748ce88df6c9f0591cc0e658d
BLAKE2b-256 d0c945e5bcc9579dba174fa9f3016dbb5445a86d70879c7320c8eb3347ee75c4

See more details on using hashes here.

File details

Details for the file python_copasi-4.37.264-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for python_copasi-4.37.264-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 643012aea17f5818ef8f481f36bda4a7d02fe942ceb7db14e6b0cefd4b776f2d
MD5 ef6e9ac745cbba26ca3d7e80a01cdcc7
BLAKE2b-256 43502d5b76256f6f19a85bed4c49dd009c4dcd45596cb9d5d33f4627498cd5b7

See more details on using hashes here.

File details

Details for the file python_copasi-4.37.264-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

  • Download URL: python_copasi-4.37.264-cp310-cp310-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 7.1 MB
  • Tags: CPython 3.10, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.14

File hashes

Hashes for python_copasi-4.37.264-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a3852b1654b030351a5a2f2f12b272dabc779a3effd6ee35bd3b5b8cf8f7cd5d
MD5 a9cb75d2943bd1c5040d10c602e6b4cb
BLAKE2b-256 f1b53f0bc4c7f0eb1160f480c3c148fd976d926d169e7c4778d5038fb97c0ef7

See more details on using hashes here.

File details

Details for the file python_copasi-4.37.264-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: python_copasi-4.37.264-cp310-cp310-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 7.9 MB
  • Tags: CPython 3.10, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.14

File hashes

Hashes for python_copasi-4.37.264-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 feb5e6a08d1845167489f0dc046d2fea659985e61372cf1cea3801d427c74516
MD5 196c851f7352c86760ddf524b9feafb3
BLAKE2b-256 5b384081c560915d8e268564594d249560ba4fcc608a47f17829367d1837e0d1

See more details on using hashes here.

File details

Details for the file python_copasi-4.37.264-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: python_copasi-4.37.264-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 6.4 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.14

File hashes

Hashes for python_copasi-4.37.264-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 3c6adbdbd4e8f585ce77fcefa952af074aa08ce3ccacf6e91457e09f0dcb837e
MD5 8695c272f3b61f06173b84bd73c8c942
BLAKE2b-256 f27bf8d015bb0be9b50a2a13621d9ac3d143a38c0a5bddeaa5214ffce4240ee4

See more details on using hashes here.

File details

Details for the file python_copasi-4.37.264-cp39-cp39-win32.whl.

File metadata

  • Download URL: python_copasi-4.37.264-cp39-cp39-win32.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.14

File hashes

Hashes for python_copasi-4.37.264-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 69615d04a8fdd9659f83d73b2ff3145afe4cd878c804930052edab434300cb7c
MD5 2c41065eca50d88e661b47851c764169
BLAKE2b-256 d40135a8d6b085aff6e075050a3832a3af1c84f2cc90ffbd2da1990db0bea579

See more details on using hashes here.

File details

Details for the file python_copasi-4.37.264-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for python_copasi-4.37.264-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 aa4bebd9544903b11162acff4e5629816c0823b068bb1d362a455f411a251389
MD5 4659240c41a2f00cc16db937f4cd4c82
BLAKE2b-256 980bd1ca65778fcff4d7b5ce0cd2e1d3d41ddd5bd35daddb3c8a4d705e313940

See more details on using hashes here.

File details

Details for the file python_copasi-4.37.264-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for python_copasi-4.37.264-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 ad524378a740bb0b49935f194db315045dfa9c457757b084b110a1fc4d475170
MD5 9f57b7d0533dbabecbf10693e1fe27b4
BLAKE2b-256 23454460a117cd1eb87acdc3c273772a3046fc562370b802aa6c974f1a369e7e

See more details on using hashes here.

File details

Details for the file python_copasi-4.37.264-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

  • Download URL: python_copasi-4.37.264-cp39-cp39-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 7.1 MB
  • Tags: CPython 3.9, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.14

File hashes

Hashes for python_copasi-4.37.264-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 03c969f2f44cb6d5be5fc533054dd8281ee805631edb07b4a825a2397dd1fef0
MD5 125b0b3ff8a378078a332813e8baab2b
BLAKE2b-256 0ecfeac69b226eec1f21856fc346b2d180ffd784268317f89af8c3d68a6437be

See more details on using hashes here.

File details

Details for the file python_copasi-4.37.264-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: python_copasi-4.37.264-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 7.9 MB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.14

File hashes

Hashes for python_copasi-4.37.264-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0cc72e904a732d80d1935e38bbb94df762d7726fea9d8245f7d9cb9e6e3c9f0c
MD5 c5efca6f2abbe2d73b342380e0b2fd4e
BLAKE2b-256 da3dcb66c702c31294210091cdcd298de3e5543f72864987b532416909511ee5

See more details on using hashes here.

File details

Details for the file python_copasi-4.37.264-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: python_copasi-4.37.264-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 6.4 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.14

File hashes

Hashes for python_copasi-4.37.264-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 8af99f7b8ceb27034121342b4bde313408b81f8e7213e451fd223d85de515ac9
MD5 4882a280413c82df3da9a448c064267c
BLAKE2b-256 714d5f417dc1f59efffeb06abe038e6189fcf5d9b5479dd53ab5e2ceeb7ff9a8

See more details on using hashes here.

File details

Details for the file python_copasi-4.37.264-cp38-cp38-win32.whl.

File metadata

  • Download URL: python_copasi-4.37.264-cp38-cp38-win32.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.14

File hashes

Hashes for python_copasi-4.37.264-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 ccd81390bdd4fd6abc8045c42b4f35f08e8eb2154e3fd051d8c8a7ff94b4914d
MD5 6900d1dba029c4a9aa191ce66c228586
BLAKE2b-256 d102c99d3b44564e8622837ba34d74caf9926c00d8261cffb0f9cd99746e85d3

See more details on using hashes here.

File details

Details for the file python_copasi-4.37.264-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for python_copasi-4.37.264-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 790ec25c0e1300002b5f4c2ef54f322e344687fe7886b1fe058b264da24414ba
MD5 bf2c37e30ac22e3bf96cf39903092593
BLAKE2b-256 16684a27e35a40d2599f157f0e0cd2af91b8b6aaae43f12cd6801ad138ec8a05

See more details on using hashes here.

File details

Details for the file python_copasi-4.37.264-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for python_copasi-4.37.264-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 28ee9f80bb41ee02a0e713c9a672efbdbe141464a44190dcf69c4115393c3a10
MD5 620e6d7707ce14356eecd1fed680e368
BLAKE2b-256 4acc29824ce8c69c34d63b929f8c14444d062f0e03e1df58a7b70989be7187bf

See more details on using hashes here.

File details

Details for the file python_copasi-4.37.264-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

  • Download URL: python_copasi-4.37.264-cp38-cp38-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 7.1 MB
  • Tags: CPython 3.8, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.14

File hashes

Hashes for python_copasi-4.37.264-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 9b88d6368407e09c37c49bea16c2228b41310deeb326a874a379a27688dc8c4b
MD5 1946666152f7263873d21f3cebdbb683
BLAKE2b-256 0003417ceb7c2f14fa1006aff79b3cb42b34a158e4f02c011960cf57e667dd08

See more details on using hashes here.

File details

Details for the file python_copasi-4.37.264-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: python_copasi-4.37.264-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 7.9 MB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.14

File hashes

Hashes for python_copasi-4.37.264-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 30c8bd90ab62405c2481d1498e2131bfd2c24fee8b5f21c4c5295cda889d5bc9
MD5 ba4e7007749660f7e32002dae7c74bb4
BLAKE2b-256 488a3c2d63b8d73d62a7364d926be11d8b394eedd60771b38ab1511e572fbbe7

See more details on using hashes here.

File details

Details for the file python_copasi-4.37.264-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: python_copasi-4.37.264-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 6.4 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.14

File hashes

Hashes for python_copasi-4.37.264-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 97b18e21569745f0b9e06a84bd95624c959353f8fdc507a4403bee7a5635c317
MD5 9f1c4dc675a4209ec281547acf1f50b6
BLAKE2b-256 8489ddbaad7b80a311fa0459581e6853bcc9070d402a79c316f7dc16e4a43762

See more details on using hashes here.

File details

Details for the file python_copasi-4.37.264-cp37-cp37m-win32.whl.

File metadata

  • Download URL: python_copasi-4.37.264-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.14

File hashes

Hashes for python_copasi-4.37.264-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 d6995873d25c5f4fe0434b2eaef908d1b2458b7e7536d053262024feb1b9df42
MD5 962ad0950eedbe73ef69eaa64cb784e7
BLAKE2b-256 a06d65c5d786da8498e924aae86c34480a52f9ab1f97f1433d36f14ed36c681a

See more details on using hashes here.

File details

Details for the file python_copasi-4.37.264-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for python_copasi-4.37.264-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 145b952bccfc772846aae4e4817170b2c3b75939c404d6be1072c5a888fb375e
MD5 ae843a90455ad7ed18a47e0c9a9421b0
BLAKE2b-256 6e3a80a21a7171eb305b6e985912e2c1ce95d5fcb58244c555dbb20f71d476b7

See more details on using hashes here.

File details

Details for the file python_copasi-4.37.264-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for python_copasi-4.37.264-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b6db60217c9819cd9b91cd062a8e329c3cebacd5c0182032d9c244e50411f9f1
MD5 6aed2aa6c4cd118b0dfe99d235be33f9
BLAKE2b-256 3270152c8c4611c70ff7058ecf15ac41e066d5884e134e2a5647fa02eb69862e

See more details on using hashes here.

File details

Details for the file python_copasi-4.37.264-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: python_copasi-4.37.264-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 7.9 MB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.14

File hashes

Hashes for python_copasi-4.37.264-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 17411ea3e3a1c2e807a387809d2bd2ae89759d489235e252f5a44e07e355333b
MD5 b05fe1ebf77093fa962d01a52412379a
BLAKE2b-256 feb057bcb3432c335b66f91f56cc9bf2fb2bed0e72b7da5d748dc471b1ac8866

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