Arithmetic operations in NumPy
Arithmetic operations in NumPy add (x1, x2, /[, out, where, casting, order, ...]) Add arguments element-wise. reciprocal (x, /[, out, where, casting, ...]) Return the reciprocal of the argument, element-wise. positive (x, /[, out, where, casting, order, ...]) Numerical positive, element-wise. negative (x, /[, out, where, casting, order, ...]) Numerical neg…
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Basic indexing and slicing in NumPy
Basic indexing and slicing ndarrays can be indexed using the standard Python x[obj] syntax, where x is the array and obj the selection. There are different kinds of indexing available depending on obj : basic indexing, advanced indexing, and field access. Single element indexing >>> x = np . arange ( 10 ) >>> x [ 2 ] 2 >>…
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N-dimensional arrays in NumPy
N-dimensional arrays in NumPy Creating N-dimensional arrays The core of the NumPy package is the ndarray object. Homogeneous data types. By array performs reading/writing array data to disk and working with memory-mapped files. Provides Linear algebra, random number generation, and Fourier transform capabilities. This feature is wrapping inheritance C/C++/F…
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NumPy (Numerical Python) Basics:
NumPy (Numerical Python) Basics: Numerical computing packages in Python. provides various libraries API written in C, C++, or FORTRAN. provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and a variety of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sortin…
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