Python Basics : : A Self-Teaching Introduction / / H. Bhasin.

• VerfasserIn: Bhasin, H.,
• Place / Publishing House: Dulles, VA : : Mercury Learning and Information, , [2018]; ©2018
• Year of Publication: 2018
• Language: English
• Physical Description: 1 online resource (450 p.)
• Other title: Frontmatter --; CONTENTS --; Chapter 1: Introduction to Python --; Chapter 2: Python Objects --; Chapter 3: Conditional Statements --; Chapter 4: Looping --; Chapter 5: Functions --; Chapter 6: Iterations, Generators, and Comprehensions --; Chapter 7: File Handling --; Chapter 8: Strings --; Chapter 9: Introduction to Object Oriented Paradigm --; Chapter 10: Classes and Objects --; Chapter 11: Inheritance --; Chapter 12: Operator Overloading --; Chapter 13: Exception Handling --; Chapter 14: Introduction to Data Structures --; Chapter 15: Stacks and Queues --; Chapter 16: Linked Lists --; Chapter 17: Binary Search Trees --; Chapter 18: Introduction to NUMPY --; Chapter 19: Introduction to MATPLOTLIB --; Chapter 20: Introduction to Image Processing --; Appendix 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
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9781683923541
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: H. Bhasin.

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