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In this chapter, we will discuss about NumPy - Broadcasting. The term refers to the ability of NumPy to treat arrays of different shapes during arithmetic operations. ww.matplotlib.org. NumPy - Broadcasting…

In this chapter, we will discuss about NumPy - Advanced Indexing. It is possible to make a selection from ndarray that is a non-tuple sequence, ndarray object of integer or…

In this chapter, we will discuss about NumPy - Indexing & Slicing. Contents of ndarray object can be accessed and modified by indexing or slicing, just like Python's in-built container…

In this chapter, we will discuss about NumPy Array From Numerical Ranges see how to create an array from numerical ranges. NumPy Array From Numerical Ranges numpy.arange This function returns…

In this chapter, we will discuss about NumPy Array From Existing Data is how to create an array from existing data. NumPy Array From Existing Data numpy.asarray This function is…

In this chapter, we will discuss about NumPy Array Creation Routines. A new ndarray object can be constructed by any of the following array creation routines or using a low-level ndarray constructor.…

In this chapter, we will discuss the various array attributes of NumPy. NumPy Array Attributes ndarray.shape This array attribute returns a tuple consisting of array dimensions. It can also be…

In this chapter, we will discuss about NumPy Data Type. NumPy supports a much greater variety of numerical types than Python does. The following table shows different scalar data types…

The most important object and defined in NumPy is an N-dimensional array type called ndarray. It describes the collection of items of the same type. Items in the collection can be…

In this chapter, we will discuss about NumPy Environment. Standard Python distribution doesn't come bundled with the NumPy module. A lightweight alternative is to install NumPy using the popular Python…