## Part 1: PRIMER ON NUMPY ARRAYS

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

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# Category: Numpy

## Part 1: PRIMER ON NUMPY ARRAYS

## Part 2: INDEXING AND SLICING A NUMPY ARRAY

## Part 3: NUMPY FANCY INDEXING

## Part 4: CONCATENATION AND SPLITTING

## Part 5: NUMPY’S UNIVERSAL FUNCTIONS

## Part 6: BROADCASTING

## Part 7: BOOLEAN MASKING IN NUMPY

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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.

Posted on by Taha

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

Posted on by Taha

We will learn how to index and slice a Numpy array

Posted on by Taha

Learn the fancy indexing techniques in Numpy

Posted on by Taha

Learn the techniques to concatenate and split a numpy array

Posted on by Taha

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.

Posted on by Taha

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

Posted on by Taha

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