Skip to main content

A package for the ingestion of 4D STEM data.

Project description

A package for the ingestion of 4D STEM data.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

stempy-3.3.5-cp310-cp310-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.10 Windows x86-64

stempy-3.3.5-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.12+ x86-64

stempy-3.3.5-cp310-cp310-macosx_10_9_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

stempy-3.3.5-cp39-cp39-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.9 Windows x86-64

stempy-3.3.5-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64

stempy-3.3.5-cp39-cp39-macosx_10_9_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

stempy-3.3.5-cp38-cp38-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.8 Windows x86-64

stempy-3.3.5-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

stempy-3.3.5-cp38-cp38-macosx_10_9_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

stempy-3.3.5-cp37-cp37m-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.7m Windows x86-64

stempy-3.3.5-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

stempy-3.3.5-cp37-cp37m-macosx_10_9_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file stempy-3.3.5-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: stempy-3.3.5-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for stempy-3.3.5-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 53332a8cbe6a65f3e0d88b64e6b3c547d3d7984e33100458ffd248b0239fd1ef
MD5 bc94cd33dfc4c8fb9f7e8055b52afb29
BLAKE2b-256 46475270abf17f184cd34ab0c990d34cc3e53da301a90f626d6dd215562f3aec

See more details on using hashes here.

File details

Details for the file stempy-3.3.5-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for stempy-3.3.5-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 898eec8fb2f38752515f9247a8d67949187759183966433cd1c79ef04a4357ef
MD5 8233f8742379a8b56f0337351f45ebd3
BLAKE2b-256 c4f5ff08ead4460c2fec004f5725b7f778b98f9a942f797131bc8c11b695aa20

See more details on using hashes here.

File details

Details for the file stempy-3.3.5-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for stempy-3.3.5-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 81af46137843019968468059296cd95a81f7404c104d1ec36a7e2d64ef29ccc8
MD5 72a284b92e4a41407b564cdd70c66763
BLAKE2b-256 720a02043045b4c39988b1672a5aa0f01c062f7ec7db08373a8497affc32fb2b

See more details on using hashes here.

File details

Details for the file stempy-3.3.5-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: stempy-3.3.5-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for stempy-3.3.5-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 da4a29f2d7ceb0b7e902f672a24a119f7e3632874f13638027dcfc57529a38b3
MD5 909554dfa1d7f40e4ab39068d8594058
BLAKE2b-256 6b3c1ada88293897f08ad5e4ea67d7b311602e70c5397d5e34ba5d4b6459e7ff

See more details on using hashes here.

File details

Details for the file stempy-3.3.5-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for stempy-3.3.5-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 6a95bde464c001347ef9f1dba189e22bdae9a2802d0162eb1ea7eb7fe8acfd9e
MD5 41308b38a670f2ee3f82909f0cb92a56
BLAKE2b-256 49b1b63542485443af1fe4ee080f8db4418a5e8484b8ddb720b25f6015907c22

See more details on using hashes here.

File details

Details for the file stempy-3.3.5-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for stempy-3.3.5-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 28717c6af3a995346f0d0a2e92625d1295e8a74233887c39e607930c19c87f84
MD5 7b6bb79a067cdc7bec5905d52d09251b
BLAKE2b-256 a8c15e2330e55ba46d6a82d507af2f7fdb085e622db401cfcb829e4c628a3389

See more details on using hashes here.

File details

Details for the file stempy-3.3.5-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: stempy-3.3.5-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for stempy-3.3.5-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 0e184b4f3f1a89560fc168945f288d6d345b4228d4cdcfc437795d93f918e590
MD5 a568eb6860061c5e6d3513f7b54d40b4
BLAKE2b-256 9ee99e83f85831a3593ee3dd9b7c8bd4f37700140189f55d3fa5ef61cbcbd72a

See more details on using hashes here.

File details

Details for the file stempy-3.3.5-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for stempy-3.3.5-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 b69c25373125101bedb7349dd1525584cf76279d390bd65c00c40c8cc89d028c
MD5 28c141f5e1750cafc8d75c3624e84d42
BLAKE2b-256 50df05ea567e7fc36dff5e78261258dec62795abef49dc8478b016c1ea4947fe

See more details on using hashes here.

File details

Details for the file stempy-3.3.5-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for stempy-3.3.5-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 eee2914e458629bdf112a26713001429eb680f69955641e5f10e38c1be3991a4
MD5 449bb30f3096f6e8790af18526aedcbc
BLAKE2b-256 dedd2c76b71faa6fe07980c28c5865cf2c0a0050d76c35121b4ff10f66fc6961

See more details on using hashes here.

File details

Details for the file stempy-3.3.5-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: stempy-3.3.5-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for stempy-3.3.5-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 aafadda1e9cc788e37c7fc9f4d97de24cbfa94f2047937095018283efa537189
MD5 1b21751c2ef191477e979dfe8098a832
BLAKE2b-256 750787e09956c75ac324b69fe9ce5284128500dae1dc2d8d21810451ab7cdf29

See more details on using hashes here.

File details

Details for the file stempy-3.3.5-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for stempy-3.3.5-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 2bf1acd43ce46bdfc8d900c093affbf7339ecbe5427b15afb063742c81462666
MD5 6815274a46f27c31068e7a2df15c30a0
BLAKE2b-256 e78fd633cfd4a3237f23e2a8150b3cd86d63343079d06b94b2ae05085e28a041

See more details on using hashes here.

File details

Details for the file stempy-3.3.5-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for stempy-3.3.5-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 677a216059e1f66bcd8c8e084f16c4e432fc0f2f2c25d423b453ee80b7c0c208
MD5 108bc423f3d5dd9d11f974682c02eb81
BLAKE2b-256 67950973623d90c12ddd8447f23125b3df2a70927de5b05f016189dfa5f6f714

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