• Thumbnail for NumPy
    NumPy (pronounced /ˈnʌmpaɪ/ NUM-py) is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices,...
    22 KB (2,454 words) - 21:51, 2 April 2024
  • Thumbnail for SciPy
    Cython) The basic data structure used by SciPy is a multidimensional array provided by the NumPy module. NumPy provides some functions for linear algebra...
    8 KB (771 words) - 06:32, 26 April 2024
  • Thumbnail for Pandas (software)
    Series is a 1-dimensional data structure built on top of NumPy's array.: 97  Unlike in NumPy, each data point has an associated label. The collection...
    12 KB (1,315 words) - 07:42, 24 May 2024
  • Hugging Face's Transformers, PyTorch Lightning, and Catalyst. PyTorch provides two high-level features: Tensor computing (like NumPy) with strong acceleration...
    12 KB (1,161 words) - 10:13, 10 May 2024
  • Thumbnail for PyPy
    PyPy (/ˈpaɪpaɪ/) is an implementation of the Python programming language. PyPy often runs faster than the standard implementation CPython because PyPy...
    17 KB (1,677 words) - 16:06, 7 June 2024
  • Ufuncs — NumPy Enhancement Proposals". numpy.org. Retrieved 21 June 2022. "NEP 18 — A dispatch mechanism for NumPy's high level array functions — NumPy Enhancement...
    13 KB (1,092 words) - 09:34, 7 March 2024
  • Thumbnail for Scikit-learn
    interoperate with the Python numerical and scientific libraries NumPy and SciPy. Scikit-learn is a NumFOCUS fiscally sponsored project. The scikit-learn project...
    9 KB (809 words) - 17:09, 12 June 2024
  • Thumbnail for Google JAX
    multiplication. # import pmap and random from JAX; import JAX NumPy from jax import pmap, random import jax.numpy as jnp # generate 2 random matrices of dimensions...
    11 KB (970 words) - 17:32, 13 May 2024
  • Thumbnail for PyCharm
    packages including Matplotlib and NumPy. PyCharm was released to the market of the Python-focused IDEs to compete with PyDev (for Eclipse) or the more broadly...
    7 KB (520 words) - 05:30, 8 June 2024
  • numerical procedure simply iterates to produce the solution vector. import numpy as np ITERATION_LIMIT = 1000 # initialize the matrix A = np.array( [ [10...
    24 KB (3,864 words) - 21:17, 8 May 2024