Skip to main content

A Landau PDF definition to be used in Python.

Project description

The Landau propability density function is defined in C++ and made available to python via cython. Also a fast Gaus+Landau convolution is available. The interface accepts numpy arrays.

Project details


Download files

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

Source Distribution

pylandau-2.1.0.zip (75.6 kB view details)

Uploaded Source

Built Distributions

pylandau-2.1.0-cp37-cp37m-macosx_10_7_x86_64.whl (150.6 kB view details)

Uploaded CPython 3.7mmacOS 10.7+ x86-64

pylandau-2.1.0-cp34-cp34m-win32.whl (104.9 kB view details)

Uploaded CPython 3.4mWindows x86

pylandau-2.1.0-cp33-cp33m-win32.whl (105.0 kB view details)

Uploaded CPython 3.3mWindows x86

pylandau-2.1.0-cp27-cp27m-win_amd64.whl (114.6 kB view details)

Uploaded CPython 2.7mWindows x86-64

pylandau-2.1.0-cp27-cp27m-win32.whl (109.0 kB view details)

Uploaded CPython 2.7mWindows x86

pylandau-2.1.0-cp27-cp27m-macosx_10_6_x86_64.whl (153.2 kB view details)

Uploaded CPython 2.7mmacOS 10.6+ x86-64

File details

Details for the file pylandau-2.1.0.zip.

File metadata

  • Download URL: pylandau-2.1.0.zip
  • Upload date:
  • Size: 75.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pylandau-2.1.0.zip
Algorithm Hash digest
SHA256 7a85d6d5c094429f60c05a74bb5b91bce1230847ba6bd4ce3a167734c7ff2555
MD5 e68a66a2f7e4705c66858ad3607b4bd6
BLAKE2b-256 7ac68d6dc9d0b5dc92297b0d1c78a872f63aeedffb9d235558f0d0724f267eb5

See more details on using hashes here.

File details

Details for the file pylandau-2.1.0-cp37-cp37m-macosx_10_7_x86_64.whl.

File metadata

  • Download URL: pylandau-2.1.0-cp37-cp37m-macosx_10_7_x86_64.whl
  • Upload date:
  • Size: 150.6 kB
  • Tags: CPython 3.7m, macOS 10.7+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

File hashes

Hashes for pylandau-2.1.0-cp37-cp37m-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 5d1898df444094edaec04dc45f552473d7571bec2d87a29232a5d979d54b5bb2
MD5 23f5b416618df67d50ce6cf2d92015b3
BLAKE2b-256 8e1a8e4cb7d663f4bca259f28ab31ed45fc4c693a5cc5b39b460b4b99438cb3f

See more details on using hashes here.

File details

Details for the file pylandau-2.1.0-cp34-cp34m-win32.whl.

File metadata

File hashes

Hashes for pylandau-2.1.0-cp34-cp34m-win32.whl
Algorithm Hash digest
SHA256 46dd8566a5adf8be003ab2e922c6ae258d0c53a2b35077e5b290b4e439ac667e
MD5 c7f84e29670bb43ad472ca2933b0017c
BLAKE2b-256 d53c3d5ed0aa11bc2f3ce4fcc70595e200bbb70b626f1b77785edfaeb2fc1c0c

See more details on using hashes here.

File details

Details for the file pylandau-2.1.0-cp33-cp33m-win32.whl.

File metadata

File hashes

Hashes for pylandau-2.1.0-cp33-cp33m-win32.whl
Algorithm Hash digest
SHA256 da985fa9b006019cba8adb3ef66b3adae5160376e41568fdf10695d4ddc847e7
MD5 a2c1fe69b795ebdb8144dbd4de350ed4
BLAKE2b-256 7d782b81726259f5052babc1beb204fa8c0422cddd1bcd53576d650222a2ce00

See more details on using hashes here.

File details

Details for the file pylandau-2.1.0-cp27-cp27m-win_amd64.whl.

File metadata

File hashes

Hashes for pylandau-2.1.0-cp27-cp27m-win_amd64.whl
Algorithm Hash digest
SHA256 313963472f9d00997ce8364d561dc975f9e0f10ccb6832d6981e3a84ce35ee25
MD5 8990179d364b9b5ed0afa811fe754f51
BLAKE2b-256 98614d9439952f60382f07e987789ea8b6a1d8a042825616009d9a74c201fd74

See more details on using hashes here.

File details

Details for the file pylandau-2.1.0-cp27-cp27m-win32.whl.

File metadata

File hashes

Hashes for pylandau-2.1.0-cp27-cp27m-win32.whl
Algorithm Hash digest
SHA256 6ae56bbafb9a56a07d05ba41cd7bf587fa5c78f84d6d06ffd4d16e41ae35966d
MD5 7f5ac4c8018567acbf8d8886a7b69c0d
BLAKE2b-256 fcd078d501ab08f937bfe5ddca64ebf66e117e0d3f13aa25c467d7ebd08d711c

See more details on using hashes here.

File details

Details for the file pylandau-2.1.0-cp27-cp27m-macosx_10_6_x86_64.whl.

File metadata

  • Download URL: pylandau-2.1.0-cp27-cp27m-macosx_10_6_x86_64.whl
  • Upload date:
  • Size: 153.2 kB
  • Tags: CPython 2.7m, macOS 10.6+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

File hashes

Hashes for pylandau-2.1.0-cp27-cp27m-macosx_10_6_x86_64.whl
Algorithm Hash digest
SHA256 c106fd3a71819347b944cb7aeb13965c76c13a9be55a8586ebbcd7bf5d4ac2be
MD5 9cf9f97a340a6ade8e0e48dd12c4c330
BLAKE2b-256 c8853bdee0e318b290a6f62e5cae5e333c10ccf30ff38b17eb0392147d4229d0

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