Skip to main content

Z-scan fitting library for nonlinear optics

Project description

The author of this package has not provided a project description

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

If you're not sure about the file name format, learn more about wheel file names.

zscan_fit-0.1.9-cp313-cp313-win_amd64.whl (590.2 kB view details)

Uploaded CPython 3.13Windows x86-64

zscan_fit-0.1.9-cp313-cp313-manylinux_2_28_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.28+ x86-64

zscan_fit-0.1.9-cp313-cp313-manylinux_2_28_aarch64.whl (720.4 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.28+ ARM64

zscan_fit-0.1.9-cp312-cp312-win_amd64.whl (590.1 kB view details)

Uploaded CPython 3.12Windows x86-64

zscan_fit-0.1.9-cp312-cp312-manylinux_2_28_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.28+ x86-64

zscan_fit-0.1.9-cp312-cp312-manylinux_2_28_aarch64.whl (720.5 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.28+ ARM64

zscan_fit-0.1.9-cp311-cp311-win_amd64.whl (593.8 kB view details)

Uploaded CPython 3.11Windows x86-64

zscan_fit-0.1.9-cp311-cp311-manylinux_2_28_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ x86-64

zscan_fit-0.1.9-cp311-cp311-manylinux_2_28_aarch64.whl (723.8 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ ARM64

zscan_fit-0.1.9-cp310-cp310-win_amd64.whl (594.4 kB view details)

Uploaded CPython 3.10Windows x86-64

zscan_fit-0.1.9-cp310-cp310-manylinux_2_28_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ x86-64

zscan_fit-0.1.9-cp310-cp310-manylinux_2_28_aarch64.whl (724.1 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ ARM64

zscan_fit-0.1.9-cp39-cp39-win_amd64.whl (594.8 kB view details)

Uploaded CPython 3.9Windows x86-64

zscan_fit-0.1.9-cp39-cp39-manylinux_2_28_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.28+ x86-64

zscan_fit-0.1.9-cp39-cp39-manylinux_2_28_aarch64.whl (724.6 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.28+ ARM64

File details

Details for the file zscan_fit-0.1.9-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: zscan_fit-0.1.9-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 590.2 kB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for zscan_fit-0.1.9-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 d17b845947dcedfcaa72ac1ce28337f39a7e493f6a81d59a03712ee452bea43b
MD5 7ed8af9ad37d1319a1168de89d645133
BLAKE2b-256 d407d4de23227e498a509362e375602b70bff4fb3bee2c9b9eb6d7078375379e

See more details on using hashes here.

File details

Details for the file zscan_fit-0.1.9-cp313-cp313-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for zscan_fit-0.1.9-cp313-cp313-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 0a98f5200ac23234e4656eb574250ab09a36e32649beb85433637821752199fd
MD5 d23b7830698267fd53b65d90e904f12f
BLAKE2b-256 4438f422ed0bd6f68a95598d147bc8f6028db81ff268a3140ccf07f170c024eb

See more details on using hashes here.

File details

Details for the file zscan_fit-0.1.9-cp313-cp313-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for zscan_fit-0.1.9-cp313-cp313-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 5adc358da066921fdfafd08640579d455f73766c7f2e02b0b9de0c559a5b5e4c
MD5 33217712e3c16d827dacbbdc52156f51
BLAKE2b-256 534afff9265f6b6df432d84be998ac71520a5ee4498ad20a5b642acda807e6d6

See more details on using hashes here.

File details

Details for the file zscan_fit-0.1.9-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: zscan_fit-0.1.9-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 590.1 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for zscan_fit-0.1.9-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 2c61295d39c5981db64fd6c38a0caf36c8fd0b8f0766dab64fb35799805ad2ed
MD5 5e6714ca213f6858b3c1afa4ffcd8682
BLAKE2b-256 1e70bbdf46ed8498f2d3ae49faf6d7f5c4da76ca2d520ff6a5d712439c401ccc

See more details on using hashes here.

File details

Details for the file zscan_fit-0.1.9-cp312-cp312-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for zscan_fit-0.1.9-cp312-cp312-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 ac74ed8bdb023c3e77918d06f2d535bc0567feb8f84c8386a4853c6cbd93f9dd
MD5 89f6cb0d21824926cb34d1f8c92e1ff2
BLAKE2b-256 c5eef70371de3cd768098d3aadc9bdf71b20f7e0ab5f780d036f9b5e9bbae6da

See more details on using hashes here.

File details

Details for the file zscan_fit-0.1.9-cp312-cp312-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for zscan_fit-0.1.9-cp312-cp312-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 0987d1c4b0663e93e9488635fe3dcfd20675716be65ac59f395d42d88dfb5ccf
MD5 6f3d0afddb50f606e6f20c421035d684
BLAKE2b-256 8854247d54bb3ab8a071cf9f4b9e1869aed597700f6471ad76723a0476a89436

See more details on using hashes here.

File details

Details for the file zscan_fit-0.1.9-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: zscan_fit-0.1.9-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 593.8 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for zscan_fit-0.1.9-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 6de0b1d4a839ef6dd7cdd0fa6d2ed62fa9ad95d9b33bd96a00fce4569ef62831
MD5 adac3386f311a528f0043ad4ab4b21e1
BLAKE2b-256 98a1f8cb9e6ecd38d6ccd74d2aaefa29251d06c3c61e81bef56e4c282af7b926

See more details on using hashes here.

File details

Details for the file zscan_fit-0.1.9-cp311-cp311-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for zscan_fit-0.1.9-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 1e642f1f325bca7d47ce4683bd55d825383386149dc2015fb0129b4459d7ad6a
MD5 7a3438c223a0b805e4220a7d141ca599
BLAKE2b-256 d27252d39dddf6884b62ed0c6ad1b0313555207525eb6a2b0db0076b0a5566c1

See more details on using hashes here.

File details

Details for the file zscan_fit-0.1.9-cp311-cp311-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for zscan_fit-0.1.9-cp311-cp311-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 7594ba23cb0c2409ba31d21b0602ed1fa0ea869a10da969353f23b13131518d9
MD5 f77f480d68027153b3673b363c9184c6
BLAKE2b-256 f4af7aed8234f39c244d5dc60e79e59cc513dad646dea0272acf009150870436

See more details on using hashes here.

File details

Details for the file zscan_fit-0.1.9-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: zscan_fit-0.1.9-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 594.4 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for zscan_fit-0.1.9-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 949e93d8023df792f6ca41ce3d050bd4a56bbf5abdc77bf8fd986c4ef220661e
MD5 1ff16cc670717af635c0640c27e7f6ff
BLAKE2b-256 acdd4be13c61d3cdbe1d5b6b0e7c23faed93c1cdd9cd5f98165346df453a83c4

See more details on using hashes here.

File details

Details for the file zscan_fit-0.1.9-cp310-cp310-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for zscan_fit-0.1.9-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 7327fd561660380f881d87c53c184469fb1a273e461c12e7bc58e46608ec0ecf
MD5 e6f450b904692bd2e6a20d8b7104d17b
BLAKE2b-256 a3792af501aa8c81f4a056ea174d44f9d241b2d1f1e136564fb08d190aa4b098

See more details on using hashes here.

File details

Details for the file zscan_fit-0.1.9-cp310-cp310-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for zscan_fit-0.1.9-cp310-cp310-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 aee8ef08aceb4d0589fd973afe09242129287eb53d2be6fab644e1df0429fb12
MD5 7e74bbb874a8b504ead0c3de71f7d4bc
BLAKE2b-256 744ded2649861d020a39389aeab2be7d56dad1619ce16ca0e80486cc302dc8f1

See more details on using hashes here.

File details

Details for the file zscan_fit-0.1.9-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: zscan_fit-0.1.9-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 594.8 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for zscan_fit-0.1.9-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 3f574bf1ea821d70dc8dc6a938643a654ffcbdfed6f7305448d2224968b52b98
MD5 e78843739c1acbd02f692fce13f7b586
BLAKE2b-256 1276b181c5510a94d34a6473995c1e01a847c5bebf7578045868b3edcfa8100c

See more details on using hashes here.

File details

Details for the file zscan_fit-0.1.9-cp39-cp39-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for zscan_fit-0.1.9-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 bc0886ce780e5f11413ce32d28879df0735b64c99def96fa831e5afc40849283
MD5 c54b22aca17868e963f83bf60a3b6d18
BLAKE2b-256 79348fef8ea5e406e97cee0eb387941a7262d0c0814a767726e8c312cfb31955

See more details on using hashes here.

File details

Details for the file zscan_fit-0.1.9-cp39-cp39-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for zscan_fit-0.1.9-cp39-cp39-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 45ba549fa06d104be27575c02384c29df7d0cf448437978f9eb3ec452bcf5f38
MD5 ec2af66e8cd01c443e32b682a71f70cf
BLAKE2b-256 db92a8c0143c1e6c9ffac55d47ec8d25b7caea516571c43c771f1083abf8e9c1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page