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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Python Data Types
Python Data Types · Data Type is a particular type of data item which is defined by the values. · Python is a dynamically typed language so do not define the type of the variable when declaring it. · Python interpreter automatically reads variables according to data. Ex. Integer, float, string, etc.. · type() function…
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