Optimized implementation of scipy, leveraging Intel® Math Kernel Library to achieve highly efficient multi-threading, vectorization, and memory management.
SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!
Install instruction
Intel optimized SciPy Pypi packages are now distributed via Anaconda Cloud.
To install Intel optimized SciPy Pypi package please use following command:
python -m pip install -i https://pypi.anaconda.org/intel/simple scipy
2 maintainers
Metadata
2 maintainers
Release files for intel-scipy 1.7.4
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| intel_scipy-1.7.4-cp39-cp39-win_amd64.whl | CPython 3.9 | CPython 3.9 | Windows x86-64 | Details for intel_scipy-1.7.4-cp39-cp39-win_amd64.whl |
Release files / intel_scipy-1.7.4-cp39-cp39-win_amd64.whl
| Download URL | intel_scipy-1.7.4-cp39-cp39-win_amd64.whl |
|---|---|
| Size | 31.4 MB |
| Tags | CPython 3.9 Windows x86-64 |
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SHA-256 checksum How to use checksums |
25daee1d95673f127d53f78ac415ba672ab0e41b72227362cba2fbb045336b64
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BLAKE2b-256 checksum How to use checksums |
33361fbbf7d44a9cdbedadeadadf075133e0bb1540b7c5b554fb56f66d64b062
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.12
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Security for intel-scipy 1.7.4
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