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[3] the predecessor of numpy, numeric, was originally created by jim hugunin with contributions from several other developers It offers a range of options for parallelising python code for cpus and gpus, often with only minor code changes. Numpy serves as the backbone for a number of other numerical libraries, notably scipy
De facto standard for matrix/tensor operations in python. Matplotlib (portmanteau of matlab, plot, and library [3]) is a plotting library for the python programming language and its numerical mathematics extension numpy. Travis oliphant is an american data scientist, software developer, and entrepreneur known for his contributions to the python scientific computing ecosystem
He is the primary creator of numpy, a foundational package for numerical computation in python, and a founding contributor to scipy, which together form the bedrock on which modern ai and.
[59] many other paradigms are supported via extensions, including design by contract [60][61] and logic programming Furthermore, some core algorithms are written in cython to improve performance. In the python library numpy, the outer product can be computed with function np.outer() [8] in contrast, np.kron results in a flat array
The outer product of multidimensional arrays can be computed using np.multiply.outer. Several programming languages and libraries provide functions for fast and vectorized clamping In python, the pandas library offers the series.clip [1] and dataframe.clip [2] methods The numpy library offers the clip [3] function
In the wolfram language, it is implemented as clip[x, {minimum, maximum}]
[4] in opengl, the glclearcolor function takes four glfloat values which are then. A special case would be opengl (and opengl es) for graphics processing.
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