This book assumes no previous background of scientific computing and will introduce
various subjects using practical examples. It may sometimes feel like separate topics pulled
together randomly and the book's flow doesn't stick to one consistent path. This was a
deliberate decision we made to give you a little taste of several different topics and
applications. We hope that you will read this book to have a broader overview of scientific computing as
well as to master the nitty-gritty of NumPy and other supporting scientific libraries of
Python such as SciPy and Scikit-Learn.
This book is for everyone who would like to gain additional knowledge in the data science
field. Mastering Numerical Computing with NumPy is for you if you are a Python
programmer, data analyst, data engineer, or data science enthusiast who wants to master
the intricacies of NumPy and build solutions for your numeric and scientific computational
problems. You are expected to have familiarity with mathematics to get the most out of this
book.