Starting Out with Python 3rd Edition by Tony Gaddis ISBN 1292065508 9781292065502

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Product details:
ISBN 10: 1292065508
ISBN 13: 9781292065502
Author: Tony Gaddis

This text is intended for a one-semester introductory programming course for students with limited programming experience.

In Starting Out with Python®, Third Edition Tony Gaddis’ evenly-paced, accessible coverage introduces students to the basics of programming and prepares them to transition into more complicated languages. Python, an easy-to-learn and increasingly popular object-oriented language, allows readers to become comfortable with the fundamentals of programming without the troublesome syntax that can be challenging for novices. With the knowledge acquired using Python, students gain confidence in their skills and learn to recognize the logic behind developing high-quality programs.

Starting Out with Python discusses control structures, functions, arrays, and pointers before objects and classes. As with all Gaddis texts, clear and easy-to-read code listings, concise and practical real-world examples, detail-oriented explanations, and an abundance of exercises appear in every chapter.

Teaching and Learning Experience

This program presents a better teaching and learning experience–for you and your students. It will help:

• Enhance Learning with the Gaddis Approach: Gaddis’s accessible approach features clear and easy-to-read code listings, concise real-world examples, and exercises in every chapter.

• Support Instructors and Students: Student and instructor resources are available to expand on the topics presented in the text.

• Keep Your Course Current: This edition’s programs have been tested with Python 3.3.2.

Starting Out with Python 3rd Edition Table of contents:

Chapter 1: Introduction to Computers and Programming

• Introduction to Computers and Programming Languages
• Understanding the Hardware and Software
• The Role of Python in Software Development
• Writing, Running, and Debugging a Python Program
• Introduction to Programming Concepts

Chapter 2: Introduction to Python Programming

• Understanding Python’s Syntax
• Writing Your First Python Program
• Using Comments for Clarity
• Debugging Python Code
• Variables and Data Types in Python

Chapter 3: Input and Output

• Accepting User Input
• Using the input() Function
• Displaying Output with print()
• Formatting Output for Readability
• Handling Simple Arithmetic and Expressions

Chapter 4: Control Structures

• Introduction to Decision-Making: if, elif, else
• Boolean Expressions and Logical Operators
• Nested Decision Structures
• Repetition Structures: while and for Loops
• break, continue, and pass Statements
• Using Looping with Lists

Chapter 5: Functions

• Defining and Calling Functions
• Function Parameters and Return Values
• Variable Scope: Local and Global Variables
• Built-in Python Functions
• Recursion: Function Calling Itself

Chapter 6: Lists

• Introduction to Lists
• Accessing List Elements
• Modifying Lists: Adding, Removing, and Changing Items
• List Slicing
• Nested Lists and Multi-Dimensional Lists
• Iterating Over Lists

Chapter 7: Tuples

• Introduction to Tuples
• Defining and Accessing Tuples
• Immutability and Advantages of Tuples
• Using Tuples in Functions
• Comparing Lists and Tuples

Chapter 8: Dictionaries

• Introduction to Dictionaries
• Creating and Accessing Dictionary Items
• Modifying and Removing Dictionary Entries
• Using Dictionary Keys and Values
• Iterating Through Dictionaries

Chapter 9: Strings

• Introduction to Strings
• String Operations: Concatenation and Repetition
• String Methods and Functions
• String Slicing and Indexing
• Searching and Modifying Strings
• Escape Sequences

Chapter 10: Files and Exceptions

• Working with Files: Opening, Reading, and Writing
• File Modes and Closing Files
• Handling Exceptions with Try-Except
• Raising Exceptions
• File Handling with Context Managers (with statement)

Chapter 11: Object-Oriented Programming

• Introduction to Object-Oriented Concepts
• Defining and Using Classes
• Constructors and self Keyword
• Creating Methods in Classes
• Inheritance and Polymorphism
• Encapsulation and Data Hiding

Chapter 12: More on Functions

• Function Arguments: Passing by Value and by Reference
• Variable-Length Arguments (*args, **kwargs)
• Lambda Functions
• Closures and Nested Functions
• Anonymous Functions

Chapter 13: Recursion

• Understanding Recursion
• Recursive Function Design
• Base Case and Recursive Case
• Recursion vs Iteration
• Applications of Recursion (Factorial, Fibonacci)

Chapter 14: Sorting and Searching

• Sorting Lists: sort() and sorted()
• Searching for Items: Linear Search and Binary Search
• Sorting and Searching with Custom Functions
• Efficiency Considerations in Sorting and Searching Algorithms

Chapter 15: Data Structures

• Introduction to Data Structures
• Stacks and Queues
• Linked Lists
• Trees and Binary Trees
• Hash Tables and Sets

Chapter 16: Introduction to GUI Programming

• Introduction to GUI (Graphical User Interface) Concepts
• Tkinter Library Overview
• Creating Basic GUI Applications
• Adding Widgets: Buttons, Labels, Entry Fields
• Event Handling in GUI Programming

Chapter 17: Final Project: Developing a Python Application

• Planning a Python Application
• Applying What You’ve Learned: Combining Concepts
• Designing the User Interface
• Writing the Code and Testing the Application
• Debugging and Finalizing the Project

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