Intel(R) Data Analytics Acceleration Library
Project description
Python bindings to Intel® Data Analytics Acceleration Library -- optimized building blocks for all data analytics stages, from data preparation to data mining & machine learning. Optimizes data ingestion and algorithmic compute together for the highest performance. Supports offline, streaming, and distributed usage models to meet a range of application needs. Highly tuned for efficient data layout, blocking, multi-threading, vectorization -- helping applications deliver better predictions faster, and enabling analysis of larger data sets with the same compute resources.
One of many Intel® accelerated Python packages and performance library runtimes available on PyPI, and as part of Intel® Distribution for Python.
For latest release updates and security notifications, please subscribe to the Intel® Distribution for Python Community forum.
Free to use and redistribute pursuant to the Intel Simplified Software License.
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.
Source Distributions
Built Distributions
File details
Details for the file pydaal-2019.0.0.20180713-cp36-cp36m-win_amd64.whl.
File metadata
- Download URL: pydaal-2019.0.0.20180713-cp36-cp36m-win_amd64.whl
- Upload date:
- Size: 36.1 MB
- Tags: CPython 3.6m, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/3.5.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b7a75b88e762687f6637b46dce875f0e9ddc6867ea4344f6beed7d36335fc4b7 |
|
| MD5 | ca8081ad7f6da50274b7f4fe25ea1b0b |
|
| BLAKE2b-256 | e634105e91c755937344572fc0a957168f9e7ce502868e3fda14b2ea0fcdaa7b |
File details
Details for the file pydaal-2019.0.0.20180713-cp36-cp36m-manylinux1_x86_64.whl.
File metadata
- Download URL: pydaal-2019.0.0.20180713-cp36-cp36m-manylinux1_x86_64.whl
- Upload date:
- Size: 43.7 MB
- Tags: CPython 3.6m
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/3.5.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f8995e45c7c40e5f067d024d37fe4a550dd77728aef5fc0c5e407e663eabf103 |
|
| MD5 | 9957de783a8076e99ec7bc3dc160224a |
|
| BLAKE2b-256 | 3ca6bf2ffb939f4cdd35208cdcbc5ebc4d16a7c8ea68ad43c14a823dbb86006a |
File details
Details for the file pydaal-2019.0.0.20180713-cp36-cp36m-macosx_10_12_intel.macosx_10_12_x86_64.whl.
File metadata
- Download URL: pydaal-2019.0.0.20180713-cp36-cp36m-macosx_10_12_intel.macosx_10_12_x86_64.whl
- Upload date:
- Size: 57.3 MB
- Tags: CPython 3.6m, macOS 10.12+ intel, macOS 10.12+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/3.5.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d42b4cde5e357bfa85b6e9e2c5aa93ddf8af18c62d2c1ad181bbd72975b42100 |
|
| MD5 | 9641052aa6671e1fa384d78e81ed57ac |
|
| BLAKE2b-256 | 5c333c8c56933ccf0b37b73a65a62b4e9675a1d22bf8311b0ed45d8bd84cbc04 |
File details
Details for the file pydaal-2019.0.0.20180713-cp35-cp35m-manylinux1_x86_64.whl.
File metadata
- Download URL: pydaal-2019.0.0.20180713-cp35-cp35m-manylinux1_x86_64.whl
- Upload date:
- Size: 43.7 MB
- Tags: CPython 3.5m
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/27.2.0 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.5.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d53acd1381218e90538745defecc3f8ad65fac00510b8cbb8d863a0344a81bd9 |
|
| MD5 | bc875681eb54f687ba8221ff084f15bd |
|
| BLAKE2b-256 | 2f81e991a151fd9083220adf9e23cffe7da8dc585a5f93d4f75cbb45ef4196fd |
File details
Details for the file pydaal-2019.0.0.20180713-cp27-cp27mu-manylinux1_x86_64.whl.
File metadata
- Download URL: pydaal-2019.0.0.20180713-cp27-cp27mu-manylinux1_x86_64.whl
- Upload date:
- Size: 43.8 MB
- Tags: CPython 2.7mu
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/3.5.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b74bf2fe8a1c194f8033d15427ab06bcdcf0d4db23535795eb89b1ebc13ef081 |
|
| MD5 | 533156b7c744e414671de2495b3cb58f |
|
| BLAKE2b-256 | f385233421fff420eabe4aadb92f4e5a2bb935d036c18058bad635372c5cf2fd |
File details
Details for the file pydaal-2019.0.0.20180713-cp27-cp27m-macosx_10_12_intel.macosx_10_12_x86_64.whl.
File metadata
- Download URL: pydaal-2019.0.0.20180713-cp27-cp27m-macosx_10_12_intel.macosx_10_12_x86_64.whl
- Upload date:
- Size: 57.6 MB
- Tags: CPython 2.7m, macOS 10.12+ intel, macOS 10.12+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/3.5.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 35811c02ee4dc56ebdb0daefb79356b4ab1af2206a0dc4ff028804d9dbe55c04 |
|
| MD5 | 6dd668f417e8300f6a9c7934229a75f8 |
|
| BLAKE2b-256 | f3e240d892b836349659f6563473fdbc69f0e745ae4c07d2777dd82c983ce04e |
