We will learn several different methods to create a Numpy array, techniques to reshape an array, methods to extract array attributes and other basics.

# Category: Numpy

Beginner level articles on Numerical Python (Numpy) including different ways to create a Numpy array, working with arrays, indexing, slicing and fancy indexing, array concatenation and splitting, universal functions, broadcasting and boolean masking.

## Part 2: INDEXING AND SLICING A NUMPY ARRAY

We will learn how to index and slice a Numpy array

## Part 3: NUMPY FANCY INDEXING

Learn the fancy indexing techniques in Numpy

## Part 4: CONCATENATION AND SPLITTING

Learn the techniques to concatenate and split a numpy array

## Part 5: NUMPY’S UNIVERSAL FUNCTIONS

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.

## Part 6: BROADCASTING

In this article we will cover broadcasting – a set of rules for applying binary universal functions on array of different sizes.

## Part 7: BOOLEAN MASKING IN NUMPY

In this article we will cover conditional operator and boolean masking of Numpy array.