Python for Data Science

This is a comprehensive book written with the objective of introducing the Python programming language to both beginners and advanced learners. The ubiquitous goal of this piece of work is to provide learners with a much-needed exposure to the programming world. This book can supersede other programming books as it includes a simple and an easy-to-understand language with strong emphasis on product design. It covers all basic and advanced concepts of Python, including data types, I/O operations, functions, arrays, strings, lists, tuples, dictionaries, OOP concepts, files, regular expressions, data structures, multithreading, database connectivity, networking and GUI.

Data collected by organization needs insights to take the decisions, for predictions as well as for finding hidden patterns inside the data. Python is an appropriate language supporting all the features and libraries to perform data science activates. This book  also covers the overview of the python with emphasis on various python data structures and various libraries like Pandas, NumPy, Matplotlib for performing various data science function including data preparation, cleaning, exploratory analysis and visualization. This book lays considerable emphasis on practical knowledge with the help of programs. It contains explanatory programming examples for every concept included in the chapters