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This book contains a fast-paced introduction to as much relevant informa- tion about Python tools for data scientists as possible that can be reason- ably included in a book of this size. If you are a novice, this book will give you a starting point from which you can decide which Python technolo- gies that you want to explore in greater detail. You will be exposed to features of NumPy and Pandas, how to write reg- ular expressions, and how to perform data cleaning tasks. Some topics are presented in a cursory manner, which is for two main reasons. First, it’s important that you be exposed to these concepts. In some cases, you will find topics that might pique your interest, and hence motivate you to learn more about them through self-study; in other cases, you will prob- ably be satisfied with a brief introduction. In other words, you decide whether to delve deeply into each of the topics in this book. Second, a full treatment of all the topics that are covered in this book would significantly increase its size, and few people are interested in read- ing technical tomes with 500 or more pages. However, it’s important for you to decide if this approach is suitable for your needs and learning style. If not, you can select one or more of the plethora of data analytics books that are available.