Python Basics - A Self-Teaching Introduction

This book is designed for use as a primary introduction to Python and can be used as an introductory text or as
a resource for professionals in industry. The book has been divided into four sections. The first section deals with the language fundamentals, primarily the procedural part of the language, the second introduces the object-oriented paradigms, the third section deals with data structures, and the last is devoted to advanced topics like handling multi-dimensional arrays using NumPy and visualization using Matplotlib. Regular expressions and multi-threading have been introduced in the appendices.

Features
+ Includes sections dedicated to data structures
+ Offers in-depth treatment of topics such as classes, inheritance, BST, and NumPy
+ Introduces topics like Matplotlib and PIL
+ Contains exercises for practice and a review of essential programming concepts

Brief Table of Contents
1: Introduction to Python. 2: Python Objects. 3: Conditional Statements. 4: Looping.
5: Functions. 6: Iterations, Generators, and Comprehensions. 7: File Handling. 8: Strings.
9: Introduction to Object Oriented Paradigm. 10: Classes and Objects. 11: Inheritance.
12: Operator Overloading. 13: Exception Handling. 14: Introduction to Data Structures.
15: Stacks and Queues. 16: Linked Lists. 17: Binary Search Trees. 18: Introduction to NumPy. 19: Introduction to Matplotlib. 20: Introduction to Image Processing. Appendices. A: Multithreading in Python. Appendix B: Regular Expressions.
Appendix C: Exercises for Practice: Programming Questions. Appendix D: Problems for Practice: Multiple Choice Questions. Appendix E: Answer to the Multiple Choice Questions. Bibliography. Index.
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About the Author
H. Bhasin is a professional programmer, researcher, and the author of several books including:
Programming in C#, Algorithm Analysis and Design, and Theory of Computation.

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