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.

Categories
Numpy

Part 7: BOOLEAN MASKING IN NUMPY

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

Categories
Numpy

Part 6: BROADCASTING

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

Categories
Numpy

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.

Categories
Numpy

Part 4: CONCATENATION AND SPLITTING

Learn the techniques to concatenate and split a numpy array

Categories
Numpy

Part 3: NUMPY FANCY INDEXING

Learn the fancy indexing techniques in Numpy

Categories
Numpy

Part 2: INDEXING AND SLICING A NUMPY ARRAY

We will learn how to index and slice a Numpy array

Categories
Numpy

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.