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-1.1.0.tar.gz (49.9 kB view details)

Uploaded Source

Built Distributions

pyLandau-1.1.0-cp34-none-win32.whl (73.5 kB view details)

Uploaded CPython 3.4Windows x86

pyLandau-1.1.0-cp33-none-win32.whl (73.4 kB view details)

Uploaded CPython 3.3Windows x86

pyLandau-1.1.0-cp27-none-win_amd64.whl (79.8 kB view details)

Uploaded CPython 2.7Windows x86-64

pyLandau-1.1.0-cp27-none-win32.whl (76.3 kB view details)

Uploaded CPython 2.7Windows x86

pyLandau-1.1.0-cp27-none-macosx_10_5_x86_64.whl (85.0 kB view details)

Uploaded CPython 2.7macOS 10.5+ x86-64

File details

Details for the file pyLandau-1.1.0.tar.gz.

File metadata

  • Download URL: pyLandau-1.1.0.tar.gz
  • Upload date:
  • Size: 49.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pyLandau-1.1.0.tar.gz
Algorithm Hash digest
SHA256 c24e631f0c9221a9349f8d20b52d64d5717bc9da2bf516b69fbcc93da811745f
MD5 38953921748d2e84b52f7d6ea501978f
BLAKE2b-256 31bdab6e79701ae7475e73246d9c71da18112678f86284d8c45685e663fb8cc7

See more details on using hashes here.

File details

Details for the file pyLandau-1.1.0-cp34-none-win32.whl.

File metadata

File hashes

Hashes for pyLandau-1.1.0-cp34-none-win32.whl
Algorithm Hash digest
SHA256 fcd4e5fd38ae683d4a91ff053d656e2e0fd55c688e8a04b39c25e9bb00d862d8
MD5 f0711cacae1126eaa655a322f0d2cbca
BLAKE2b-256 04f678f73068d47fc0c8e1d03ac4af1ddfee97adcfb78e03acecf7b135898c7e

See more details on using hashes here.

File details

Details for the file pyLandau-1.1.0-cp33-none-win32.whl.

File metadata

File hashes

Hashes for pyLandau-1.1.0-cp33-none-win32.whl
Algorithm Hash digest
SHA256 cc8d67c2d4fdda1f81b7690f4d59e980c80bd7c087f205a9ac9a4d071106256f
MD5 e35033725534f3cf1087e3e7687bdfcb
BLAKE2b-256 16d868dce675516932319ebde8c7bfeb72c4f8ec0d568851e99d5459ab742333

See more details on using hashes here.

File details

Details for the file pyLandau-1.1.0-cp27-none-win_amd64.whl.

File metadata

File hashes

Hashes for pyLandau-1.1.0-cp27-none-win_amd64.whl
Algorithm Hash digest
SHA256 5d24f3e153640e76c5ca90bd9a89212773bcb1bfd6acd99def9c0f921d398907
MD5 80a69ae5c43894e59e36d772de8cfc97
BLAKE2b-256 951509a1b9a387fc27968bd998dd531008f9f9555c77df7cb864340bec373110

See more details on using hashes here.

File details

Details for the file pyLandau-1.1.0-cp27-none-win32.whl.

File metadata

File hashes

Hashes for pyLandau-1.1.0-cp27-none-win32.whl
Algorithm Hash digest
SHA256 8f59d3fd180801d960a3250b49feeb9871b572fd2e89ab17be18ec8a722c6237
MD5 2883aaa0a90b982de0b6f6ea8af83877
BLAKE2b-256 ec6909b0ca8d0ba43a439a3211b4a27403a5dcb94deeefb951873a93cf18ca89

See more details on using hashes here.

File details

Details for the file pyLandau-1.1.0-cp27-none-macosx_10_5_x86_64.whl.

File metadata

File hashes

Hashes for pyLandau-1.1.0-cp27-none-macosx_10_5_x86_64.whl
Algorithm Hash digest
SHA256 e856e643b4b4822a0d52a578eb0f51e59c7c32b0f779167480a31847e31224f4
MD5 4331bada6e221571f74fb70ec556dbf0
BLAKE2b-256 231894865f71aea56da89422e3bc9c6c60f39e4f1f22dae34c51439e1dea1b6d

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