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BOOK DESCRIPTIONThis book is a go-to for every person who's looking to learn Python data science in the most simplified way. It has been written in a manner that anyone with even the smallest amount of knowledge in data science can comprehend. This book is intended for everyone - parents, teachers, students, and adults that are interested in learning the basics of Python data science, whether for the fun of it or to take advantage of the tech and digital age we're in. It contains all the basic knowledge for anyone who's just being introduced to data science needs to know. While Python isn't like regular human language, it's been created in a chronological order that allows you to follow the programming thought process step by step and never feel overwhelmed. All of its content has been codified into sixteen chapters that are concise and straight to the point on all topics. The bulky topics are broken down into smaller subtopics for easy understanding, and they come with examples that clearly show how it's done. All examples have not only been carefully written and reviewed, they also contain step by step explanations to help aid your understanding. Every chapter contains tips that highlight the major points. The practical aspects of data science have also been properly highlighted so you can have things to play with while learning.Here are just a few things you'll discover...-Basic Python Rules.-Working with Real Data.-Conditioning Data.-Shaping Data.-Contextualizing Data and Its Problems.-Understanding the Tools.-Data Analysis.-Detecting Errors.-And much more!This book has been written in a manner that encourages users to explore the different options that data science provides. The concluding chapters give users useful tips on how to achieve different data science goals.If you're looking to learn Python data science in a straightforward, easy to understand guide, while having fun at the same time, then this book is a must-have for you. Now is the time to start you