|
gptkbp:instance_of
|
gptkb:Linux
|
|
gptkbp:developed_by
|
gptkb:Intel_Corporation
|
|
gptkbp:has
|
gptkb:Documentation
community support
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Intel Distribution for Python
|
|
gptkbp:includes
|
gptkb:Tensor_Flow
gptkb:Dask
gptkb:Matplotlib
gptkb:Pandas
gptkb:Sci_Py
gptkb:scikit-learn
gptkb:Py_Torch
gptkb:Num_Py
Intel-optimized libraries
|
|
gptkbp:is_accessible_by
|
pip
conda
|
|
gptkbp:is_available_in
|
multiple languages
|
|
gptkbp:is_available_on
|
gptkb:Anaconda_Cloud
Intel's website
|
|
gptkbp:is_compatible_with
|
gptkb:Linux
gptkb:mac_OS
gptkb:Windows
|
|
gptkbp:is_designed_for
|
high-performance computing
|
|
gptkbp:is_featured_in
|
Intel's conferences
Intel's webinars
|
|
gptkbp:is_known_for
|
high performance
robustness
ease of use
|
|
gptkbp:is_optimized_for
|
gptkb:Intel_architectures
|
|
gptkbp:is_part_of
|
gptkb:Intel_one_API
open-source community
data analytics ecosystem
AI development tools
|
|
gptkbp:is_promoted_by
|
Intel's marketing campaigns
|
|
gptkbp:is_supported_by
|
Intel's developer tools
Intel's hardware
|
|
gptkbp:is_updated_by
|
gptkb:true
|
|
gptkbp:is_used_by
|
gptkb:developers
gptkb:researchers
data scientists
|
|
gptkbp:is_used_for
|
gptkb:machine_learning
data analysis
scientific computing
|
|
gptkbp:is_used_in
|
financial modeling
natural language processing
bioinformatics
machine vision
|
|
gptkbp:offers
|
machine learning capabilities
data science tools
|
|
gptkbp:provides
|
gptkb:Performance_Monitoring
performance improvements
easy installation
Jupyter Notebook support
|
|
gptkbp:suitable_for
|
educational purposes
research projects
commercial applications
|
|
gptkbp:supports
|
gptkb:C_programming_language
GPU acceleration
multi-threading
|
|
gptkbp:bfsParent
|
gptkb:Intel_Python_Distribution
|
|
gptkbp:bfsLayer
|
6
|