We will learn several different methods to create a Numpy array, techniques to reshape an array, methods to extract array attributes and other basics.
We will learn how to index and slice a Numpy array
Learn the fancy indexing techniques in Numpy
Learn the techniques to concatenate and split a numpy array
In this article, we will cover the basic universal functions in NumPy that covers arithmetics, trigonometric, statistical, log and exponent functions. We will also cover reduce, accumulate and outer product methods.
In this article we will cover broadcasting – a set of rules for applying binary universal functions on array of different sizes.
In this article we will cover conditional operator and boolean masking of Numpy array.