How To Think Like A Computer Scientist Learning With Python 3 Pdf

How to Think Like a Computer Scientist

PYTHON PROGRAMMING FOR BEGINNERS

Python is one of the few programming languages which is both simple and powerful. This book is designed to provide comprehensive material to both undergraduate and graduate students on the python programming concepts. This book has been written keeping in mind the syllabi designed for courses on Python Programming in various technical institutions and universities in India and gulf countries. This book takes you through step-by-step process of learning the Python programming language. The main topics covered in the book include the basics of python programming, control statements such as if, if...else, if...elif...else which are used to transfer the control from one part of the program to another, and the loops which are used to run one or more statements repeatedly. The flow of execution is carried out through the break and continue statements. To take advantage of the iterative capabilities in a computer, you need to know how to include loops and conditional logic within your program. Lists is discussed which acts as a container to hold items of different types. Creating, slicing, and indexing of lists is elaborated with examples. Various string methods to manipulate strings are described in detail. Indexing, slicing, and joining of strings are illustrated. One of the main pillars of Python programming language is the availability of data structures as built-in data types. Another built-in data type in Python programming language, Dictionary, is covered. Accessing and modifying the key: value pairs of Dictionaries is demonstrated. Also, usage of tuples and sets is illustrated with examples of tuples in returning multiple values from functions and storing heterogeneous elements of fixed sized is discussed. Mathematical operations like union and intersection are demonstrated using sets. Different methods supported by tuples and sets are identified. This book also provides how to create functions, discussing types of functions like void and fruitful with examples. It also covered file handling using various operations like open, read, write, append, and close. Finally, it covered how to handle errors from the programs using error exceptions concepts.

Python for Data Analysis

Computer programing is the vital field for the electronics, information and computer students. Programming with Python is trending topics nowadays. Its application has been increasing day by day. This book includes easy and readable theories with more examples. It also focusses on python projects. Computer Programming is the core subject for undergraduate students. With python, computer programming is not a big deal. This book is for beginners and intermediate students who wants to learn basics of Python Programming as well as Data Analysis and Visualization. In each Chapter, students will find necessary theories with relevant and practical examples. The concepts and examples used in this book are the inspiration from the different sources and authors. The whole text has been divided into seven chapters: 1. Introduction to Python 2. Data Structure and Conditional Statements 3. Loops and Functions 4. Object Oriented Programming in Python 5. Plotting graphs and charts in Python 6. Data analysis using NumPy and pandas 7. Mini Projects in Python