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

PyMca5-5.2.1.tar.gz (18.7 MB view details)

Uploaded Source

Built Distributions

PyMca5-5.2.1-cp36-cp36m-win_amd64.whl (9.4 MB view details)

Uploaded CPython 3.6m Windows x86-64

PyMca5-5.2.1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (9.9 MB view details)

Uploaded CPython 3.6m macOS 10.10+ intel macOS 10.10+ x86-64 macOS 10.6+ intel macOS 10.9+ intel macOS 10.9+ x86-64

PyMca5-5.2.1-cp35-none-win_amd64.whl (9.4 MB view details)

Uploaded CPython 3.5 Windows x86-64

PyMca5-5.2.1-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (9.9 MB view details)

Uploaded CPython 3.5m macOS 10.10+ intel macOS 10.10+ x86-64 macOS 10.6+ intel macOS 10.9+ intel macOS 10.9+ x86-64

PyMca5-5.2.1-cp27-none-win_amd64.whl (9.4 MB view details)

Uploaded CPython 2.7 Windows x86-64

PyMca5-5.2.1-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (9.9 MB view details)

Uploaded CPython 2.7m macOS 10.10+ intel macOS 10.10+ x86-64 macOS 10.6+ intel macOS 10.9+ intel macOS 10.9+ x86-64

File details

Details for the file PyMca5-5.2.1.tar.gz.

File metadata

  • Download URL: PyMca5-5.2.1.tar.gz
  • Upload date:
  • Size: 18.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for PyMca5-5.2.1.tar.gz
Algorithm Hash digest
SHA256 44ef75aeeca7e3da9bcaada29bcb107f075f7179e4826a6cb3b72ae937f9350d
MD5 e29d57ef818cfd8ae43a0341a3c25188
BLAKE2b-256 56fa12536f700658ff93214918034cf62afca815f74ed2946dcec8f44e255dc2

See more details on using hashes here.

File details

Details for the file PyMca5-5.2.1-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for PyMca5-5.2.1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 89c35a80cdae2a13d642ff280af24ed0544129dbaa2dbede2ef09115d10d92b1
MD5 65f62e4e23dc87d6ea25ec06506fd6fc
BLAKE2b-256 abd4f4cd0093e28926160f15bc618e7ac983fe7ab8c2908d42b209adb48c1841

See more details on using hashes here.

File details

Details for the file PyMca5-5.2.1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for PyMca5-5.2.1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 6ba8e57e5385204cbad39d6ce0aede2fe95d640e0e99d0f5a40b8360c3ed8d51
MD5 3500a13ed5c843d2f0ba8f303a80aa5a
BLAKE2b-256 8620253570f055b5ccb18f3b3310220a8ca8f9e868a0d33cdbe0d218ce0e7382

See more details on using hashes here.

File details

Details for the file PyMca5-5.2.1-cp35-none-win_amd64.whl.

File metadata

File hashes

Hashes for PyMca5-5.2.1-cp35-none-win_amd64.whl
Algorithm Hash digest
SHA256 b2939a54025d53a2d26bc8811c681bfa418eeb822924dbedbe24cc2e40306230
MD5 26e5fc3d5354e0ec222c3c107a9d6953
BLAKE2b-256 84c122bd8da4dfd34478b28f90af7e48c07bade820f7106b1db1a6385d244c92

See more details on using hashes here.

File details

Details for the file PyMca5-5.2.1-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for PyMca5-5.2.1-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 9eb68cdc0d30dde9e44a1ca01fd23ed6824533c2d291efc04fdb6a9ce742fbad
MD5 20796562ba513abf648d550b8b61a405
BLAKE2b-256 850f504b19204c2c7d723ea58b7c1418cd890d3334f72702e3d890c77f628aad

See more details on using hashes here.

File details

Details for the file PyMca5-5.2.1-cp27-none-win_amd64.whl.

File metadata

File hashes

Hashes for PyMca5-5.2.1-cp27-none-win_amd64.whl
Algorithm Hash digest
SHA256 06abd63033efe8f70e06274921f6b97b762d0943c302afbd2842b11a9ca34fa0
MD5 8bf05a73d6b4ea0382508e4bfca12735
BLAKE2b-256 170956cc70227894e9d4b1b448a7067eb0e02657a53ba1a652f0704f42649e20

See more details on using hashes here.

File details

Details for the file PyMca5-5.2.1-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for PyMca5-5.2.1-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 726dd06b95b3dc4660778f72a53d860c75cd6b0b6b4b50dc0e5cdb76a42c5c99
MD5 81db15aa1ed218490b89c5a407e52649
BLAKE2b-256 c37462ba96d9e7620ed870d90fe97683c516ed996f92801a409e910a2b537795

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