Statements (338)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Library
|
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:API
gptkb:Graphics_Processing_Unit gptkb:BSD_license gptkb:lighthouse gptkb:stadium gptkb:Pyro gptkb:Library gptkb:computer gptkb:skincare_product |
| gptkbp:community |
Open-source community
|
| gptkbp:created_by |
gptkb:Travis_Olliphant
|
| gptkbp:dependency |
gptkb:matplotlib
gptkb:Matplotlib gptkb:Graphics_Processing_Unit gptkb:Pandas gptkb:Keras gptkb:Sci_Py gptkb:Cython gptkb:Sym_Py pandas |
| gptkbp:developed_by |
gptkb:Travis_Olliphant
|
| gptkbp:developer |
gptkb:Travis_Olliphant
|
| gptkbp:features |
gptkb:building
polynomial functions Fourier transforms array broadcasting data manipulation matrix operations support for complex numbers linear algebra functions interoperability with C/ C++ interoperability with Fortran support for masked arrays support for structured arrays support for array aggregation support for array bitwise functions support for array broadcasting rules support for array comparison functions support for array compound type support for array concatenation support for array conversion functions support for array creation functions support for array datetime functions support for array datetime64 type support for array filtering support for array fixed type support for array flattening support for array flexible type support for array indexing support for array iteration support for array logical functions support for array manipulation functions support for array masking support for array mathematical functions support for array nested type support for array object type support for array record type support for array reshaping support for array slicing support for array sorting support for array splitting support for array stacking support for array stacking functions support for array statistical functions support for array string functions support for array structured type support for array subarray type support for array timedelta64 type support for array unstructured type support for array views support for array void type support for broadcasting rules support for memory-mapped files support for universal functions |
| gptkbp:first_released |
gptkb:2006
2006-01-06 |
| gptkbp:has |
matrix operations
community support extensive documentation statistical functions broadcasting capabilities vectorization capabilities array manipulation functions linear algebra functions ndarray object random sampling functions |
| gptkbp:has_documentation |
https://numpy.org/doc/stable/
|
| gptkbp:has_feature |
gptkb:radio_station
vectorization memory-mapped files support for integration support for performance optimization support for time series analysis support for data integration support for data storage support for data streaming support for data transformation support for data validation support for machine learning support for cloud computing support for data analysis support for data visualization support for image processing support for big data processing support for high-performance computing support for data retrieval support for integration with other libraries support for distributed computing support for scientific computing support for deep learning support for signal processing support for numerical analysis support for data cleaning support for data enrichment support for data ethics support for data governance support for data security support for complex numbers support for parallel computing support for numerical methods support for data manipulation support for optimization support for data privacy N-dimensional arrays support for data types interoperability with C/ C++ support for Fourier transforms support for interpolation support for linear algebra operations support for masked arrays support for numerical integration support for polynomial functions support for random sampling support for statistical functions support for structured arrays file I/ O support support for data compliance support for N-dimensional arrays support for mathematical operations support for polynomial operations support for statistical operations memory layout control support for differentiation support for numerical algorithms support for numerical computations support for numerical data analysis support for numerical data analysis tools support for numerical data conversion support for numerical data conversion tools support for numerical data manipulation support for numerical data manipulation tools support for numerical data processing support for numerical data processing tools support for numerical data representation support for numerical data representation tools support for numerical data retrieval support for numerical data retrieval tools support for numerical data storage support for numerical data storage tools support for numerical data transformation support for numerical data transformation tools support for numerical data visualization support for numerical data visualization tools support for numerical differentiation support for numerical linear algebra support for numerical modeling support for numerical optimization support for numerical simulations support for numerical statistics support for record arrays |
| gptkbp:has_method |
gptkb:TV_series
gptkb:computer all reshape where transpose mean sum stack unique histogram dot any split clip squeeze broadcast_to concatenate expand_dims hstack vstack arange array_equal array_like column_stack dstack fft isclose linalg.eig linalg.inv linalg.svd linspace meshgrid nan_to_num nanargmax nanargmin nanmax nanmean nanmedian nanmin nanquantile nanstd nanvar ones polyfit polyval random.rand row_stack zeros |
| https://www.w3.org/2000/01/rdf-schema#label |
Num Py
|
| gptkbp:installation |
conda install numpy
pip install numpy |
| gptkbp:is_accessible_by |
pip
conda |
| gptkbp:is_compatible_with |
gptkb:Python_3.x
gptkb:Python_2.7 gptkb:Python_3 gptkb:Library gptkb:computer gptkb:Python_2 |
| gptkbp:is_maintained_by |
gptkb:Num_Py_Developers
Num Py community |
| gptkbp:is_open_source |
gptkb:theorem
|
| gptkbp:is_part_of |
gptkb:Sci_Py_ecosystem
data science stack machine learning stack scientific stack scientific computing ecosystem |
| gptkbp:is_supported_by |
gptkb:Enthought
gptkb:DJ gptkb:Intel gptkb:Anaconda |
| gptkbp:is_used_by |
gptkb:architect
gptkb:physicist data scientists machine learning practitioners |
| gptkbp:is_used_for |
numerical computing
|
| gptkbp:is_used_in |
gptkb:aircraft
gptkb:robot image processing data analysis deep learning geospatial analysis scientific computing bioinformatics financial analysis big data analysis machine vision |
| gptkbp:language |
gptkb:Library
|
| gptkbp:latest_version |
Semantic versioning
1.8.0 1.23.5 1.24.3 |
| gptkbp:license |
gptkb:BSD_License
|
| gptkbp:platform |
Cross-platform
|
| gptkbp:provides |
gptkb:Footballer
gptkb:building Fourier transforms linear algebra functions support for large multi-dimensional arrays array objects ndarray tools for integrating C/ C++ and Fortran code |
| gptkbp:release_date |
gptkb:2006
October 2022 2006-01-06 2014-07-02 |
| gptkbp:repository |
https://github.com/numpy/numpy
|
| gptkbp:supports |
gptkb:Footballer
gptkb:building Fourier transforms linear algebra matrix operations multi-dimensional arrays multidimensional arrays linear algebra operations |
| gptkbp:type |
Numerical computing library
|
| gptkbp:used_in |
gptkb:software_framework
scientific computing data science |
| gptkbp:uses |
gptkb:Quantum_computing
gptkb:Artificial_Intelligence gptkb:C gptkb:Fortran gptkb:Cloud_Computing_Service gptkb:robot Bioinformatics Computer graphics Data analysis Data mining Data science Deep learning Image processing Machine learning Natural language processing Signal processing Statistical analysis Time series analysis Graph theory High-performance computing Network analysis Scientific computing Data visualization Game development Web development Distributed computing Financial analysis Machine vision Parallel computing Optimization problems Statistical modeling Data transformation Predictive modeling Data visualization tools Data cleaning Data aggregation Simulation modeling Big data analysis Numerical simulations Data engineering Engineering simulations Data wrangling |
| gptkbp:website |
https://numpy.org
|
| gptkbp:written_in |
gptkb:C
gptkb:Fortran gptkb:Library |