Python for Data Science

by: A. Lakshmi Muddana (Author),Sandhya Vinayakam(Author)

Publisher: Springer
Edition: 2024th

Publication Date: 19 April 2024

Language: English

Print Length: 409 pages

ISBN-10: 3031524721

ISBN-13: 9783031524721

Book Description

The book is designed to serve as a textbook for courses offered to undergraduate and graduate students enrolled in data science. This book aims to help the readers understand the basic and advanced concepts for developing simple programs and the fundamentals required for building machine leaing models. The book covers basic concepts like data types, operators, and statements that enable the reader to solve simple problems. As functions are the core of any programming, a detailed illustration of defining & invoking functions and recursive functions is covered. Built-in data structures of Python, such as strings, lists, tuples, sets, and dictionary structures, are discussed in detail with examples and exercise problems. Files are an integrated part of programming when dealing with large data. File handling operations are illustrated with examples and a case study at the end of the chapter. Widely used Python packages for data science, such as Pandas, Data Visualization libraries, and regular expressions, are discussed with examples and case studies at the end of the chapters. The book also contains a chapter on SQLite3, a small relational database management system of Python, to understand how to create and manage databases. As AI applications are becoming popular for developing intelligent solutions to various problems, the book includes chapters on Machine Leaing and Deep Leaing. They cover the basic concepts, example applications, and case studies using popular frameworks such as SKLea and Keras on public datasets
About the Author