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

# Category: Coding

My opinions, notes and tutorials on everything related to coding & programming.

## 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 1: PANDAS SERIES AND DATAFRAME OBJECT

Learn how to create and work with Pandas Series, DataFrame and Index objects.

## 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 4: CONCATENATION AND SPLITTING

Learn the techniques to concatenate and split a numpy array

## Part 3: NUMPY FANCY INDEXING

Learn the fancy indexing techniques in Numpy

## Part 2: INDEXING AND SLICING A NUMPY ARRAY

We will learn how to index and slice a Numpy array

## 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.

## Part 10: HANDLING EXCEPTIONS IN PYTHON

In this article, we will learn how to handle exceptions in Python using try-except-else block.

## Part 9: WORKING WITH FILES IN PYTHON

In this article, we will learn how to read/write text and json data in Python