This guide is for anyone interested in learning about Data Cleaning in Python using Pandas Library

I believe in learning the subject hands-on, so all the topics discussed will be immediately followed by examples, which allow you to understand the expected output.

I will assume that you at least have a beginner-level knowledge of Python and have it installed in your system.

I have designed the book so that each chapter corresponds to a specific concept so that even an absolute beginners in Pandas can follow.

By the end of the book, you will have a proper understanding of the frequently used attributes of the Pandas library and confidently use the new skill in your day-to-day coding activities.

In case you are unfamiliar with coding in Python, please study “A Beginner’s Guide to Python for Data Science” first so that you are up to speed when it comes to Python and can follow this book.

Topics covered:
Chapter 1: Introduction to Pandas

Chapter 2: Installing and Setting Up Pandas

Chapter 3: Introduction to Series object

Chapter 4: Exploring the array, at and axes attributes

Chapter 5: Exploring the hasnans, dtype and iat attributes

Chapter 6: Exploring the iloc, is_monotonic and is_unique attributes

Chapter 7: Exploring the loc, name, shape, and size attributes