Azure ML Data Preparation RustLex

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dataprepms from gravatar.com dataprepms Avatar for microsoft from gravatar.com microsoft

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers
Report project as malware

Project description

Azure Machine Learning Data Prep RsLex

Azure Machine Learning Data Prep RsLex is a Rust implementation of Data Prep's capabilities to load, transform, and write data for machine learning workflows. You can interact with RsLex via the Data Prep SDK, azureml-dataprep, by calling use_rust_execution(True) before using the SDK.

Install the SDK

To install Azure Machine Learning Data Prep RsLex, use the following command:

pip install --upgrade azureml-dataprep-rslex

NOTE: This package is not intended for direct installation or usage. azureml-dataprep depends on this package.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dataprepms from gravatar.com dataprepms Avatar for microsoft from gravatar.com microsoft

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

This version

2.25.3

2.25.2

2.25.1

2.25.0

2.24.6

2.24.5

2.24.4

2.24.3

2.24.2

2.24.1

2.24.0

2.23.8

2.23.7

2.23.6

2.23.5

2.23.4

2.23.3

2.23.2

2.23.1

2.23.0

2.22.5

2.22.4

2.22.3

2.22.2

2.22.1

2.22.0

2.21.1

2.21.0

2.20.4

2.20.3

2.20.2

2.20.1

2.20.0

2.19.8

2.19.7

2.19.6

2.19.5

2.19.3

2.19.2

2.19.1

2.19.0

2.18.7

2.18.6

2.18.5

2.18.4

2.18.3

2.18.2

2.18.1

2.18.0

2.17.12

2.17.11

2.17.10

2.17.9

2.17.8

2.17.7

2.17.6

2.17.5

2.16.4

2.15.2

2.14.0

2.13.0

2.12.1

2.11.4

2.10.0

2.9.1

2.8.1

2.7.1

2.6.3

2.5.5

2.4.3

2.3.1

2.2.0

2.1.1

2.0.3

1.21.2

1.20.2

1.19.1

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.

azureml_dataprep_rslex-2.25.3-pp39-pypy39_pp73-manylinux1_x86_64.whl (26.2 MB view details)

Uploaded PyPy

azureml_dataprep_rslex-2.25.3-pp38-pypy38_pp73-manylinux1_x86_64.whl (26.2 MB view details)

Uploaded PyPy

azureml_dataprep_rslex-2.25.3-cp313-cp313-win_amd64.whl (18.7 MB view details)

Uploaded CPython 3.13Windows x86-64

azureml_dataprep_rslex-2.25.3-cp313-cp313-manylinux1_x86_64.whl (26.2 MB view details)

Uploaded CPython 3.13

azureml_dataprep_rslex-2.25.3-cp313-cp313-macosx_10_13_x86_64.whl (18.2 MB view details)

Uploaded CPython 3.13macOS 10.13+ x86-64

azureml_dataprep_rslex-2.25.3-cp312-cp312-win_amd64.whl (18.7 MB view details)

Uploaded CPython 3.12Windows x86-64

azureml_dataprep_rslex-2.25.3-cp312-cp312-manylinux1_x86_64.whl (26.2 MB view details)

Uploaded CPython 3.12

azureml_dataprep_rslex-2.25.3-cp312-cp312-macosx_10_13_x86_64.whl (18.2 MB view details)

Uploaded CPython 3.12macOS 10.13+ x86-64

azureml_dataprep_rslex-2.25.3-cp311-cp311-win_amd64.whl (18.7 MB view details)

Uploaded CPython 3.11Windows x86-64

azureml_dataprep_rslex-2.25.3-cp311-cp311-manylinux1_x86_64.whl (26.2 MB view details)

Uploaded CPython 3.11

azureml_dataprep_rslex-2.25.3-cp311-cp311-macosx_10_13_x86_64.whl (18.2 MB view details)

Uploaded CPython 3.11macOS 10.13+ x86-64

azureml_dataprep_rslex-2.25.3-cp310-cp310-win_amd64.whl (18.7 MB view details)

Uploaded CPython 3.10Windows x86-64

azureml_dataprep_rslex-2.25.3-cp310-cp310-manylinux1_x86_64.whl (26.2 MB view details)

Uploaded CPython 3.10

azureml_dataprep_rslex-2.25.3-cp310-cp310-macosx_10_13_x86_64.whl (18.2 MB view details)

Uploaded CPython 3.10macOS 10.13+ x86-64

azureml_dataprep_rslex-2.25.3-cp39-cp39-win_amd64.whl (18.7 MB view details)

Uploaded CPython 3.9Windows x86-64

azureml_dataprep_rslex-2.25.3-cp39-cp39-manylinux1_x86_64.whl (26.2 MB view details)

Uploaded CPython 3.9

azureml_dataprep_rslex-2.25.3-cp39-cp39-macosx_10_9_x86_64.whl (18.2 MB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

azureml_dataprep_rslex-2.25.3-cp38-cp38-win_amd64.whl (18.7 MB view details)

Uploaded CPython 3.8Windows x86-64

azureml_dataprep_rslex-2.25.3-cp38-cp38-manylinux1_x86_64.whl (26.2 MB view details)

Uploaded CPython 3.8

azureml_dataprep_rslex-2.25.3-cp38-cp38-macosx_10_9_x86_64.whl (18.2 MB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

File details

Details for the file azureml_dataprep_rslex-2.25.3-pp39-pypy39_pp73-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.25.3-pp39-pypy39_pp73-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 b86d1a28d2813fc8ddb21da517dcf80b632e42fe19aafb0cfc83093ad3d56d1e
MD5 71dbf1b669b188c409b675c6f5588660
BLAKE2b-256 b69dc454724b88f62a4849ef62418e7da33c846c739092b573a218ca1e342c2f

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.25.3-pp38-pypy38_pp73-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.25.3-pp38-pypy38_pp73-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 0d68fa98eca9be9f96aca8845825add74a62cdc90002134e285c8326218de83b
MD5 a5733f37fe7fdf383c506b2ece82d6e6
BLAKE2b-256 17f449f8942f55b3b6300faa6b725e0a2a2fcba7e8bccd5e20c1c6480372be4e

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.25.3-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.25.3-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 11ff414f9dea832899942ff6eb90c6f0bed6301540d1e8eba9b670972829870b
MD5 1a8e9412f1292e76a4501a7cb04e4b07
BLAKE2b-256 899f8d80428970ee2f146f2d4a3d998547ebd9626a968c8efbd5d0ee50f59b16

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.25.3-cp313-cp313-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.25.3-cp313-cp313-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 d80bc67d3e77439b162586750d546098eecb2e4032b86b64fb860ca279ab114a
MD5 9be4fb2c31228b3564a07260e6c52fdc
BLAKE2b-256 c5dfa64fe28003515938696ecf5a1cb7df1d29b86b91165ba9d88fe30c874fa2

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.25.3-cp313-cp313-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.25.3-cp313-cp313-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 1b203a77c3ca5362e806d3d9276537515a094daf04e9095ba5f41e8cd98d0587
MD5 c0c79522e3290db11fb8e6743b305aa0
BLAKE2b-256 31a9c032d9b5b8f3e6e2f9a5ef35c38d582890f573f023b2d27e829000dd952e

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.25.3-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.25.3-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 991501ad6013c6660a53f6212f879d6540d2791acb42c37d4e1c21492d6a474d
MD5 329d47cf4fb08120b031cdb2986b08a5
BLAKE2b-256 3016b7bf41e8029deb41a1d90b80c263ae574bbf9f5a7a99479fb147252033ba

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.25.3-cp312-cp312-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.25.3-cp312-cp312-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 7a2ece27915fc6d2fff4e01a4048d0fa29d31740a6691beb3f423b70d25d9712
MD5 ab83fcf053ed76d3f2f131c90b45e9d3
BLAKE2b-256 cf2d6d8cbdf1b63e5b566c15ca15d90df25c96a4152a2f69491d982a473463c8

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.25.3-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.25.3-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 56c74e04eccf95c288e8d6a0d4f347806c445c104f743a4d0d6420b3fb6a92a9
MD5 772082f5e6c998c1ebbc0969a31d5a8f
BLAKE2b-256 ba2b481af7dba7cb6e9357ef73bec33920adbf416868f0d3d2e182c25de53f54

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.25.3-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.25.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 6834b89fa5e06e9b5fcb739f138d674d6e5b78307bb02d046fe01ed0812fc6bd
MD5 98d9350d31713d9ff79e864d2988725f
BLAKE2b-256 e36d12b039e0c591d704fa75283fba9de5bb08444318ac04c6084c6084f91c8d

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.25.3-cp311-cp311-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.25.3-cp311-cp311-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 c7bbaf897dd34f79c2da56b5a217772a5fb4b76404c3de9c4d245f421747d420
MD5 6ba3bdd267d9f940b99dd7b0ff48d7b7
BLAKE2b-256 36be79a6f7dc306a487f9665e9f72ab9e4579d11cc9fa139123c9519635d516c

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.25.3-cp311-cp311-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.25.3-cp311-cp311-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 b8a7d3c0df3df0270cb45daf57ccdc370578b68431c018f78a8bdc724f00f330
MD5 6148ae193438d3a4e88713155a504baa
BLAKE2b-256 637acda866db92cd0f86e316204e5d27ccf12c25c6ea1a023292d9972de64eda

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.25.3-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.25.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 aac214b2e71523f7c0b5dee336a3f82d342d91eff76fa2d9b52c5a74c9c57c06
MD5 cbe74c8018e867db7f362bbe807cfccb
BLAKE2b-256 0cf3db6ff92a59c94afe9f616fd3c294b8348649064c816132e447678bf0533e

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.25.3-cp310-cp310-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.25.3-cp310-cp310-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 bdd7eb67a2182a3ebabd8f54618559367c1485c91fe178760a265aaf294596df
MD5 abb43e281651ed961b0b62b5fe80500f
BLAKE2b-256 21eac72e1fbfcc23f52fcb7912cc2670a2828209b827ce326109a2a9b7b4a450

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.25.3-cp310-cp310-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.25.3-cp310-cp310-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 a50c9e096d0ffd8d6492e3fa5ba52dd191f0004b80da28271119e61cf636c3e2
MD5 d70c85ed449850cb2565cc12a237e398
BLAKE2b-256 b9d9c73f21653b6f23e67e2808518013ba06c3b59ca9c0f6b9c367a305d46eb4

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.25.3-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.25.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 3d72d9e675a0d7210e94f56b93bfa28ff943a2fc50fb0b8ad566ac2732533ef9
MD5 bc2343c0308088238031cc77f517642e
BLAKE2b-256 28e56ab1d2705e1e4bb23e5c658374ad637fc1c26f84615f65c6b594f61f2a35

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.25.3-cp39-cp39-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.25.3-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 6aca23298a1d36c3c9d80d5b7a4b4b86bc2f801261a5018a02bed1dd2be2af3a
MD5 5e4f5b03bb56a9941fbf40d28d0863b8
BLAKE2b-256 e58b2973dbd9a136c2beffea877bbf6d5e6e910864cfc8ea0b49fe8073fbaacc

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.25.3-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.25.3-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 8974982484568053e28b8b2f58ebc53e8acf8ccd840dc72bd1976bce644ea110
MD5 6898173d44555944738510e3ed74db69
BLAKE2b-256 97e8235bbcdf00c3be28de28e3badd8ad610563845b397e0a3ba1c046046328c

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.25.3-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.25.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 4cd69f52d69c0998d7c12baa64940426808c43437e518e7b9bf1d841766deea9
MD5 9e6aa123f10158dedaad2f03698aa132
BLAKE2b-256 134a4c0301e27ab1156d7a13aa7bded0ab5d7c5f22f3ab4df3cf82d658b2d6e6

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.25.3-cp38-cp38-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.25.3-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 671ff2b776d585dbeed7641148e7f5ed2a3040dcd00d0737833066fff7e49891
MD5 60c298fd4b62a4647100abebc9be0cad
BLAKE2b-256 cc8d4fe4f1bad681af109623fa0196de130ce01488437e4fe50800cdd873f3a7

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.25.3-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.25.3-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a81210ae7e416a3a7ca2633fe189b7a1dca7feaf295b3dab88577d212db39830
MD5 919f3a45db75c17b061a2341d611946c
BLAKE2b-256 13abdb3dbce514ce9d09cc5a9e026942616dfda58f27587744d2fca814670e83

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