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.
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Release files for pydaal 2019.0.0.20180713
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| pydaal-2019.0.0.20180713-cp36-cp36m-win_amd64.whl | CPython 3.6 | CPython 3.6 pymalloc | Windows x86-64 | Details |
| pydaal-2019.0.0.20180713-cp36-cp36m-manylinux1_x86_64.whl | CPython 3.6 | CPython 3.6 pymalloc | Linux glibc 2.5+ x86-64 | Details |
| pydaal-2019.0.0.20180713-cp36-cp36m-macosx_10_12_intel.macosx_10_12_x86_64.whl | CPython 3.6 | CPython 3.6 pymalloc | macOS 10.12+ Intel (x86-64, i386), macOS 10.12+ x86-64 | Details |
| pydaal-2019.0.0.20180713-cp35-cp35m-manylinux1_x86_64.whl | CPython 3.5 | CPython 3.5 pymalloc | Linux glibc 2.5+ x86-64 | Details |
| pydaal-2019.0.0.20180713-cp27-cp27mu-manylinux1_x86_64.whl | CPython 2.7 | CPython 2.7 pymalloc wide-unicode | Linux glibc 2.5+ x86-64 | Details |
| pydaal-2019.0.0.20180713-cp27-cp27m-macosx_10_12_intel.macosx_10_12_x86_64.whl | CPython 2.7 | CPython 2.7 pymalloc | macOS 10.12+ x86-64, macOS 10.12+ Intel (x86-64, i386) | Details |
Total release size: 282.4 MB
Release files / pydaal-2019.0.0.20180713-cp36-cp36m-win_amd64.whl
| Download URL | pydaal-2019.0.0.20180713-cp36-cp36m-win_amd64.whl |
|---|---|
| Size | 36.1 MB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Windows x86-64 |
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Release files / pydaal-2019.0.0.20180713-cp36-cp36m-manylinux1_x86_64.whl
| Download URL | pydaal-2019.0.0.20180713-cp36-cp36m-manylinux1_x86_64.whl |
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| Size | 43.7 MB |
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Release files / pydaal-2019.0.0.20180713-cp36-cp36m-macosx_10_12_intel.macosx_10_12_x86_64.whl
| Download URL | pydaal-2019.0.0.20180713-cp36-cp36m-macosx_10_12_intel.macosx_10_12_x86_64.whl |
|---|---|
| Size | 57.3 MB |
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Release files / pydaal-2019.0.0.20180713-cp35-cp35m-manylinux1_x86_64.whl
| Download URL | pydaal-2019.0.0.20180713-cp35-cp35m-manylinux1_x86_64.whl |
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| Size | 43.7 MB |
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Release files / pydaal-2019.0.0.20180713-cp27-cp27mu-manylinux1_x86_64.whl
| Download URL | pydaal-2019.0.0.20180713-cp27-cp27mu-manylinux1_x86_64.whl |
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| Size | 43.8 MB |
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Release files / pydaal-2019.0.0.20180713-cp27-cp27m-macosx_10_12_intel.macosx_10_12_x86_64.whl
| Download URL | pydaal-2019.0.0.20180713-cp27-cp27m-macosx_10_12_intel.macosx_10_12_x86_64.whl |
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| Size | 57.6 MB |
| Tags | CPython 2.7 CPython 2.7 pymalloc macOS 10.12+ Intel (x86-64, i386) macOS 10.12+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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