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

PyMca5-5.2.0.tar.gz (18.7 MB view details)

Uploaded Source

Built Distributions

PyMca5-5.2.0-cp36-cp36m-win_amd64.whl (9.4 MB view details)

Uploaded CPython 3.6m Windows x86-64

PyMca5-5.2.0-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

PyMca5-5.2.0-cp35-none-win_amd64.whl (9.4 MB view details)

Uploaded CPython 3.5 Windows x86-64

PyMca5-5.2.0-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

PyMca5-5.2.0-cp27-none-win_amd64.whl (9.4 MB view details)

Uploaded CPython 2.7 Windows x86-64

PyMca5-5.2.0-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 PyMca5-5.2.0.tar.gz.

File metadata

  • Download URL: PyMca5-5.2.0.tar.gz
  • Upload date:
  • Size: 18.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for PyMca5-5.2.0.tar.gz
Algorithm Hash digest
SHA256 23ba7761b4e69ffc94548b16b55a6dee0893ec9edf1117825e4098f3b1a44455
MD5 0e3d33f11030681959fa8865c0139239
BLAKE2b-256 bbe2043d2695705de04ec73bf293ed2c336f494d2903d30f38eb84acd7d5da73

See more details on using hashes here.

File details

Details for the file PyMca5-5.2.0-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for PyMca5-5.2.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 195ca4b0da3253609d27751df378de7decd1a0b4147a94a76fdcd3fedb443637
MD5 b01b8b76af5d6f78e2a8a77d1210b9fc
BLAKE2b-256 7b95749455fb8204c2ba256056d289e99d0847cf6fe58588c60d2149b351735f

See more details on using hashes here.

File details

Details for the file PyMca5-5.2.0-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 PyMca5-5.2.0-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 5099e97b69d31594b2d5df5cdf721c2fd4d04cd8ee10566f59343355bd09b695
MD5 da264d5eebc35b9d4af601bb06fc315c
BLAKE2b-256 1f5863dfc1db6cbf61104ab8982fb798e7fc213fd44192ccfaa308df6ab24caf

See more details on using hashes here.

File details

Details for the file PyMca5-5.2.0-cp35-none-win_amd64.whl.

File metadata

File hashes

Hashes for PyMca5-5.2.0-cp35-none-win_amd64.whl
Algorithm Hash digest
SHA256 1f4418c63816b9bda104d7415d4843d531f91712c383f0218e9247765d31a39e
MD5 532f14f00e603efec3e2803b3697b1e8
BLAKE2b-256 e6535b6905605f4d483c5ae8c95ec15a4dd9f0507118437c2f5271863f2fe24f

See more details on using hashes here.

File details

Details for the file PyMca5-5.2.0-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 PyMca5-5.2.0-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 d0398f07980da60e8cee3fb0e8b84ee0115ad834876a6abae1f847fb5e671cff
MD5 69939ea04701ad6e7a09a6fdc0e93a02
BLAKE2b-256 d176b88ed48505d53bad11ef4142405f1d21de3ad8b180ddcc1831bfd355b2cf

See more details on using hashes here.

File details

Details for the file PyMca5-5.2.0-cp27-none-win_amd64.whl.

File metadata

File hashes

Hashes for PyMca5-5.2.0-cp27-none-win_amd64.whl
Algorithm Hash digest
SHA256 10ff9d0db2703aa42f68d697396e4415c2c2de5ea546353b7865b0b8d6d65320
MD5 cb8ce6f29371fd31b9b460390f59bc9b
BLAKE2b-256 14daf8e2f70a234964704861bad7cfb433988655c3fb4fe35dbeae7839a507e4

See more details on using hashes here.

File details

Details for the file PyMca5-5.2.0-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 PyMca5-5.2.0-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 02175100aa841875b05e2f711f823459236a8bd97758d31d4f854312266435f5
MD5 f3d94cc2e45ef64f4baa1c4971b76fa2
BLAKE2b-256 21a8217224faafb2a9ce4bb84797f26f55633dc293d825fd3cfef1511b1f6871

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