Skip to main content

Mapping and X-Ray Fluorescence Analysis

Project description

Stand-alone application and Python tools for interactive and/or batch processing analysis of X-Ray Fluorescence Spectra. Graphical user interface (GUI) and batch processing capabilities provided

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

PyMca5-5.3.2.tar.gz (19.6 MB view details)

Uploaded Source

Built Distributions

PyMca5-5.3.2-cp37-cp37m-win_amd64.whl (9.6 MB view details)

Uploaded CPython 3.7m Windows x86-64

PyMca5-5.3.2-cp37-cp37m-macosx_10_9_x86_64.whl (9.5 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

PyMca5-5.3.2-cp37-cp37m-macosx_10_6_intel.whl (9.9 MB view details)

Uploaded CPython 3.7m macOS 10.6+ intel

PyMca5-5.3.2-cp36-cp36m-win_amd64.whl (9.5 MB view details)

Uploaded CPython 3.6m Windows x86-64

PyMca5-5.3.2-cp36-cp36m-macosx_10_9_x86_64.whl (9.5 MB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

PyMca5-5.3.2-cp36-cp36m-macosx_10_6_intel.whl (10.0 MB view details)

Uploaded CPython 3.6m macOS 10.6+ intel

PyMca5-5.3.2-cp27-none-win_amd64.whl (9.4 MB view details)

Uploaded CPython 2.7 Windows x86-64

PyMca5-5.3.2-cp27-cp27m-macosx_10_6_intel.whl (9.9 MB view details)

Uploaded CPython 2.7m macOS 10.6+ intel

File details

Details for the file PyMca5-5.3.2.tar.gz.

File metadata

  • Download URL: PyMca5-5.3.2.tar.gz
  • Upload date:
  • Size: 19.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for PyMca5-5.3.2.tar.gz
Algorithm Hash digest
SHA256 34067eb325dfb7a825b652431c9145b09eacb498944b8c2b8dd05a2323129485
MD5 08737d5ebd66fbe75b5a09d1d65c0f37
BLAKE2b-256 8b73570e9e1631d7486785c481b7b785cc3275f4d6723f759978db2336a70c74

See more details on using hashes here.

File details

Details for the file PyMca5-5.3.2-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for PyMca5-5.3.2-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 65dd8a9583f528ad3aa182aad8f34962a141791f93e8c278a99995a5568ebcde
MD5 592a2055d1bca53aafeb47eb18f3fd30
BLAKE2b-256 feaa320024af26e8e17c5e625eb262e35435159c68588e8d7ee180d4bc18991e

See more details on using hashes here.

File details

Details for the file PyMca5-5.3.2-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for PyMca5-5.3.2-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 fc50ce126e19f15953657aac558868a648ea57c99cb6cf71e7e74eb9a6489809
MD5 8eb109e60cc7328efd534734e47bf73f
BLAKE2b-256 88f70877c592c7ad287616fcc18a1213a49522df44e6d84f41f0100f2a53ab7d

See more details on using hashes here.

File details

Details for the file PyMca5-5.3.2-cp37-cp37m-macosx_10_6_intel.whl.

File metadata

File hashes

Hashes for PyMca5-5.3.2-cp37-cp37m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 632661a3b357ae0837f40662168844082ebbef3296577c99f817986c2475b237
MD5 4d3d7476163852a565702a348e7731e9
BLAKE2b-256 72fbc36a4eba94a94b9a17c995c63a8e1152c194370802c859262eb944f5cbaf

See more details on using hashes here.

File details

Details for the file PyMca5-5.3.2-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for PyMca5-5.3.2-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 77b61bbae04ff996963fd0b11bbdfd49beea2503076a586ce01ab9b6db931cd7
MD5 66562e7adf128e90b0fc7dff9a782f72
BLAKE2b-256 1c5553f65bb1c56e8543156769f549c2f25330023d7398b4e8011dbd192d99ec

See more details on using hashes here.

File details

Details for the file PyMca5-5.3.2-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for PyMca5-5.3.2-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1bfc3ff4e88eeb8dbfe1539ac72f30d663e3b7ca8da8aa09064b68dde998e796
MD5 9275af0e0ffbb535070bbe7e4933d943
BLAKE2b-256 f6cba86640198c43c6e2227d36cc4e77cef160a49c711be2814f32083ba6eaf1

See more details on using hashes here.

File details

Details for the file PyMca5-5.3.2-cp36-cp36m-macosx_10_6_intel.whl.

File metadata

File hashes

Hashes for PyMca5-5.3.2-cp36-cp36m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 790a081b95047f4e7a49b38d1020cdfea87bad7c3fe6f8cc2b4128f51bfa050c
MD5 e6c94ed9fba09e242bc2e432f92f0b88
BLAKE2b-256 ac1df32bc4d6eb2bf804102a126d3323e732a1f6d83017a63f454458d498f5d1

See more details on using hashes here.

File details

Details for the file PyMca5-5.3.2-cp27-none-win_amd64.whl.

File metadata

File hashes

Hashes for PyMca5-5.3.2-cp27-none-win_amd64.whl
Algorithm Hash digest
SHA256 e410d8b432c585b19be2df136a650c6400ba5cfddaaa8dc86b427d18fa04d626
MD5 58ff718354cfb7ff54ee48811c9b7758
BLAKE2b-256 15a5ccc52cc38bdb74aa16328543f75beace9b05baf07559a7f0a4dbe6f32f9a

See more details on using hashes here.

File details

Details for the file PyMca5-5.3.2-cp27-cp27m-macosx_10_6_intel.whl.

File metadata

File hashes

Hashes for PyMca5-5.3.2-cp27-cp27m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 cff5c28673096d3d99bfd34710f1f975577d8e0aa298a536424c20cb8c581e00
MD5 23a5b248e2878224e2256bc5b5a963e9
BLAKE2b-256 d28d004f3f1d317c782353cdafdc9a035f4ad3012295596d900e9011930de495

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