Statements (116)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Library
|
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:skincare_product
|
| gptkbp:dependency |
gptkb:matplotlib
gptkb:scikit-learn pandas |
| gptkbp:developed_by |
gptkb:Travis_Olliphant
|
| gptkbp:first_released |
gptkb:2006
|
| gptkbp:has_documentation |
https://numpy.org/doc/stable/
|
| gptkbp:has_feature |
performance optimization
memory-mapped files support for embedded systems support for web applications support for cloud computing support for data visualization support for mobile applications support for image processing support for high-performance computing support for distributed computing support for signal processing support for large datasets support for complex numbers support for parallel computing support for machine learning algorithms support for optimization interoperability with other libraries ndarray support for interpolation support for linear algebra operations support for numerical integration support for deep learning frameworks support for GPU computing support for various data types masked arrays support for polynomial operations support for statistical operations extensive mathematical functions record arrays structured arrays support for JIT compilation support for array-oriented programming support for element-wise operations |
| gptkbp:has_method |
gptkb:numpy.isinf
gptkb:numpy.linalg.eig gptkb:numpy.nanmean gptkb:numpy.nanmedian gptkb:numpy.nonzero gptkb:numpy.random.rand gptkb:numpy.random.randn numpy.arange numpy.argmax numpy.argmin numpy.array numpy.clip numpy.concatenate numpy.corrcoef numpy.cov numpy.dot numpy.expand_dims numpy.fft.fft numpy.fft.ifft numpy.histogram numpy.isna numpy.isnan numpy.linalg.inv numpy.linspace numpy.load numpy.mean numpy.median numpy.meshgrid numpy.nanmax numpy.nanmin numpy.nanstd numpy.ones numpy.percentile numpy.repeat numpy.reshape numpy.save numpy.squeeze numpy.std numpy.sum numpy.tile numpy.transpose numpy.unique numpy.where numpy.zeros |
| https://www.w3.org/2000/01/rdf-schema#label |
numpy
|
| gptkbp:is_compatible_with |
gptkb:C
gptkb:C++ gptkb:Fortran |
| gptkbp:is_part_of |
gptkb:Sci_Py_ecosystem
|
| gptkbp:is_used_in |
gptkb:software_framework
scientific computing data science |
| gptkbp:language |
gptkb:Library
|
| gptkbp:latest_version |
1.21.0
|
| gptkbp:license |
gptkb:BSD_License
|
| gptkbp:primary_source |
Numerical computing
|
| gptkbp:provides |
gptkb:Footballer
gptkb:building linear algebra functions array objects tools for Fourier transforms tools for integrating C/ C++ and Fortran code tools for linear algebra tools for random sampling |
| gptkbp:repository |
https://github.com/numpy/numpy
|
| gptkbp:supports |
gptkb:radio_station
gptkb:building matrix operations multi-dimensional arrays linear algebra operations |
| gptkbp:used_in |
gptkb:software_framework
scientific computing data science |
| gptkbp:written_in |
gptkb:Library
|