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.

Numpy

Part 1: PRIMER ON NUMPY ARRAYS

Post author By Taha
Post date February 25, 2020
No Comments on 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.

Tags Array attributes, How to create a Numpy Array, Numpy, Numpy Basics, Reshaping Numpy array

Numpy

Part 2: INDEXING AND SLICING A NUMPY ARRAY

Post author By Taha
Post date February 26, 2020
1 Comment on Part 2: INDEXING AND SLICING A NUMPY ARRAY

We will learn how to index and slice a Numpy array

Tags Indexing, Numpy, Python, Slicing

Numpy

Part 3: NUMPY FANCY INDEXING

Post author By Taha
Post date February 26, 2020
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Learn the fancy indexing techniques in Numpy

Tags Fancy Indexing, Numpy, Python

Numpy

Part 4: CONCATENATION AND SPLITTING

Post author By Taha
Post date February 27, 2020
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Learn the techniques to concatenate and split a numpy array

Tags Concatenating a numpy array, Numpy, Splitting a numpy array

Numpy

Part 5: NUMPY’S UNIVERSAL FUNCTIONS

Post author By Taha
Post date February 28, 2020
1 Comment on 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.