Python Package for AzureML DataPrep specific native extensions.
Project description
Azure Machine Learning Data Prep SDK
Specific native code extensions for package azureml-dataprep
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Filename, size | File type | Python version | Upload date | Hashes |
---|---|---|---|---|
Filename, size azureml_dataprep_native-30.0.0-cp35-cp35m-macosx_10_9_x86_64.whl (145.4 kB) | File type Wheel | Python version cp35 | Upload date | Hashes View |
Filename, size azureml_dataprep_native-30.0.0-cp35-cp35m-manylinux1_x86_64.whl (1.3 MB) | File type Wheel | Python version cp35 | Upload date | Hashes View |
Filename, size azureml_dataprep_native-30.0.0-cp35-cp35m-win_amd64.whl (876.4 kB) | File type Wheel | Python version cp35 | Upload date | Hashes View |
Filename, size azureml_dataprep_native-30.0.0-cp36-cp36m-macosx_10_9_x86_64.whl (145.4 kB) | File type Wheel | Python version cp36 | Upload date | Hashes View |
Filename, size azureml_dataprep_native-30.0.0-cp36-cp36m-manylinux1_x86_64.whl (1.3 MB) | File type Wheel | Python version cp36 | Upload date | Hashes View |
Filename, size azureml_dataprep_native-30.0.0-cp36-cp36m-win_amd64.whl (889.5 kB) | File type Wheel | Python version cp36 | Upload date | Hashes View |
Filename, size azureml_dataprep_native-30.0.0-cp37-cp37m-macosx_10_9_x86_64.whl (145.4 kB) | File type Wheel | Python version cp37 | Upload date | Hashes View |
Filename, size azureml_dataprep_native-30.0.0-cp37-cp37m-manylinux1_x86_64.whl (1.3 MB) | File type Wheel | Python version cp37 | Upload date | Hashes View |
Filename, size azureml_dataprep_native-30.0.0-cp37-cp37m-win_amd64.whl (890.2 kB) | File type Wheel | Python version cp37 | Upload date | Hashes View |
Filename, size azureml_dataprep_native-30.0.0-cp38-cp38-macosx_10_9_x86_64.whl (144.3 kB) | File type Wheel | Python version cp38 | Upload date | Hashes View |
Filename, size azureml_dataprep_native-30.0.0-cp38-cp38-manylinux1_x86_64.whl (1.4 MB) | File type Wheel | Python version cp38 | Upload date | Hashes View |
Filename, size azureml_dataprep_native-30.0.0-cp38-cp38-win_amd64.whl (896.9 kB) | File type Wheel | Python version cp38 | Upload date | Hashes View |
Filename, size azureml_dataprep_native-30.0.0-cp39-cp39-macosx_10_9_x86_64.whl (131.5 kB) | File type Wheel | Python version cp39 | Upload date | Hashes View |
Filename, size azureml_dataprep_native-30.0.0-cp39-cp39-manylinux1_x86_64.whl (186.1 kB) | File type Wheel | Python version cp39 | Upload date | Hashes View |
Filename, size azureml_dataprep_native-30.0.0-cp39-cp39-win_amd64.whl (905.9 kB) | File type Wheel | Python version cp39 | Upload date | Hashes View |
Close
Hashes for azureml_dataprep_native-30.0.0-cp35-cp35m-macosx_10_9_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2d1702a2dd9b851ccba9d4624a240f5657f3f34a89977f01ee99f9ccaab905a9 |
|
MD5 | 7afab4e1ee62cf00bef6154a5b1e6d4c |
|
BLAKE2-256 | d6fd013d34058a5c050c15a8b51136ceb10bbbc6bc822cac2c481c651b01fe18 |
Close
Hashes for azureml_dataprep_native-30.0.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 15b55d903d5688b5a9a290e388db62c8f3d042bc1796db44723f4455b7b18d07 |
|
MD5 | d7062c028afe24d71e225bc0a7bd2866 |
|
BLAKE2-256 | 59ecb6cef729c7d2a8ab0734a027410e8582aa923d22c48cca7c24399d2837f3 |
Close
Hashes for azureml_dataprep_native-30.0.0-cp35-cp35m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e6aaecd313ac5af95637977132ab8fc6d12737e0ad663cdd1942322b67e0a22b |
|
MD5 | 2230b5c6f275a8411c37eae27b4a3d52 |
|
BLAKE2-256 | 968efd744a7fe50f87e650a979432d67c4bc63f0c5c898e634fa5ea2db0639fe |
Close
Hashes for azureml_dataprep_native-30.0.0-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | bd81f0ac0df442b4e09bd2ee76ccff1279437b73e08324d9038c13a5e4708598 |
|
MD5 | 598d3e7e75b676a264bfa525f981734c |
|
BLAKE2-256 | e5b17665abd64b7b57066eea243334806ba49430aed599db03b9c44beef73000 |
Close
Hashes for azureml_dataprep_native-30.0.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d2560d3f20cd3b8ad2d2159b1048b83dd330cf8c44aa8becedd6dcaf72876062 |
|
MD5 | da493f8769bf19fafe8fb780323dd701 |
|
BLAKE2-256 | be4d75d6b9463ce643f16e1ba3bd3827652b29e10114569bdd23bc3397e2c0c1 |
Close
Hashes for azureml_dataprep_native-30.0.0-cp36-cp36m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b7207589bc8efccac41c99a7c68ab51ad43801b0e880d8512010ff49107c8624 |
|
MD5 | 2edd677796389de813d76f3aab65e4aa |
|
BLAKE2-256 | dbb4a5b750fbb293b3196ad4af4c3cd44cdf7a7a637a33a1feaa60ec21861605 |
Close
Hashes for azureml_dataprep_native-30.0.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1fb47c48edf795aaa1b3e589a4d580fc61d639c0bb26519271736c72155d008e |
|
MD5 | 726200cb3c79eb34ee6e18fef8cd9e2e |
|
BLAKE2-256 | 31b461d0042f7785886f8afdfe845ff55463dc3d61aa618620bcc78b66aab2cb |
Close
Hashes for azureml_dataprep_native-30.0.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 897063c21d7b1b8cb070f8992e78291c402559434e9d4a5bb85b595a5c676fe6 |
|
MD5 | 82b4dbdaada1d1e916324618bb6fcb7a |
|
BLAKE2-256 | 366ade33c4fa5e1f4b358d6d06247fb2fc770e3833a4fcb980f375ddc293398e |
Close
Hashes for azureml_dataprep_native-30.0.0-cp37-cp37m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6793921349d888da0c9ba86b811f2e29835d7b55afd0ea4098071f350ddb3d7a |
|
MD5 | 81c463dd5348b275def6744bbca9fd61 |
|
BLAKE2-256 | 8ef85874d2b8675b72df4051e35e7841cb2b2dc689cfabc905afbc52db99af34 |
Close
Hashes for azureml_dataprep_native-30.0.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6772b638f9d03a041b17ce4343061f5d543019200904b9d361b2b2629c3595a7 |
|
MD5 | e1f435271c170cc7e41dae1dbaaf94f1 |
|
BLAKE2-256 | bd278779b1ae46023652bc44e2fcf5712a418204d42c0d858ad99d300f0dc62e |
Close
Hashes for azureml_dataprep_native-30.0.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d07cf20f22b14c98576e135bbad9bb8aaa3108941d2beaadf050b4238bc93a18 |
|
MD5 | 9553ddab198cdd7832ec562ea7ed3fac |
|
BLAKE2-256 | 21a324ffa486d1dfa4ce0a3abce0494520291db23782b5f60c03fd3a5a83366e |
Close
Hashes for azureml_dataprep_native-30.0.0-cp38-cp38-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 23dc359f43ce8b63f1dfd14f397b40a6db8eb0f6f6ecfd98d3b08638325b7794 |
|
MD5 | d8bec7782a379998fc920051dbc2b562 |
|
BLAKE2-256 | 7ca42efd027cc2dc2d6eb6f4d8696038d542263c1eca2aa880c5ec98bff976f0 |
Close
Hashes for azureml_dataprep_native-30.0.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | eaf3fcd9f965e87b03fe89d7c6fe6abce53483a79afc963e4981061f4c250e85 |
|
MD5 | 939fa5c56f3d4e3e7dfbbd8d7e1c90db |
|
BLAKE2-256 | a2ecc485a8d056df078212cd41462d5e13329bc1360d0183f59b08bb39e5058d |
Close
Hashes for azureml_dataprep_native-30.0.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b8673136948f682c84d047feacbfee436df053cba4f386f31c4c3a245a4e3646 |
|
MD5 | 5d99de1f9d14be20157da801a9c9083a |
|
BLAKE2-256 | 18e0b5d86f2bf729967fca743a148a0799dabd4acb8a6fd9b709e5cf2a99d99f |
Close
Hashes for azureml_dataprep_native-30.0.0-cp39-cp39-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | fef998f5c5e0fbaa447b69f79fb8824a78e3afa4e84ccf55790e4fdbc94651b5 |
|
MD5 | 78e669cedfa3976088262443620eea9f |
|
BLAKE2-256 | 726476f8dc17028c6ac11d9d8c96dba6c5367de220f5f7b797f089337ae511ae |