Python Programming Using Problem Solving Approach 1st Edition by Thareja Reema ISBN 0199480176 9780199480173

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ISBN 10: 0199480176
ISBN 13: 9780199480173
Author: Thareja Reema

Python Programming is designed as a textbook to fulfil the requirements of the first-level course in Python programming. It is suited for undergraduate degree students of computer science engineering, information technology as well as computer applications. This book will enable students to apply the Python programming concepts in solving real-world problems.The book begins with an introduction to computers, problem solving approaches, programming languages, object oriented programming and Python programming. Separate chapters dealing with the important constructs of Python language such as control statements, functions, strings, files, data structures, classes and objects, inheritance, operator overloading and exceptions are provided in the book.Features• Simple and lucid treatment of concepts supported with illustrations for easy understanding.• Numerous programming examples along with their outputs to help students master the art of writing efficient Python programs.• Notes and programming tips to highlight the important concepts and help readers avoid common programming errors.• Strong chapter-end pedagogy including plenty of objective-type questions, review questions, programming and debugging exercises to facilitate revision and practice of concepts learnt.• 7 Annexures and 5 appendices covering types of operating systems, differences between Python 2.x and 3.x, installing Python, debugging and testing, iterators, generators, getters, setters, Turtle graphics, plotting graphs, multi-threading, GUI and Web Programming provided to supplement the text.• Case studies on creating calculator, calendar, hash files, compressing strings and files, tower of Hanoi, image processing, shuffling a deck of cards and mail merge demonstrate the application of various concepts.• Point-wise summary and glossary of key terms to aid quick recapitulation of concepts.Online Resources For Faculty• Chapter-wise PPTs• Solutions ManualFor Students• Lab exercises• Test generator• Projects• Model question papers• Solutions to find the output and error questions• Extra reading materialTable of contents1. Introduction to Computers and Problem Solving Strategies2. Introduction to Object Oriented Programming3. Basics of Python Programming4. Decision Control Statements5. Functions6. Python Strings Revisited7. File Handling8. Data Structures9. Classes and Objects10. Inheritance and Polymorphism11. Operator Overloading12. Error and Exception Handling.

Python Programming Using Problem Solving Approach 1st Table of contents:

• Basic Python Syntax and Structure

  • Understanding Python Syntax
  • Variables and Data Types
  • Basic Operators: Arithmetic, Comparison, and Logical Operators
  • Input and Output in Python
  • Comments and Documentation in Python

• Control Structures

  • Conditional Statements: if, elif, else
  • Looping Statements: for and while Loops
  • Nested Loops and Conditionals
  • Using break, continue, and pass Statements

• Functions and Modular Programming

  • Defining and Calling Functions
  • Function Arguments and Return Values
  • Local and Global Variables
  • Recursion and Its Applications
  • Lambda Functions and Anonymous Functions

• Data Structures in Python

  • Lists: Creation, Accessing, Modifying, and Iterating
  • Tuples: Immutable Sequences
  • Dictionaries: Key-Value Pairs and Operations
  • Sets: Unique Elements and Set Operations
  • Strings: String Manipulation and Operations

• Problem Solving Techniques

  • The Problem Solving Approach: Understanding the Problem and Algorithm Design
  • Breaking Down Complex Problems into Smaller Subproblems
  • Writing Pseudocode and Flowcharts
  • Using Algorithms to Solve Problems Efficiently

• File Handling

  • Reading from and Writing to Files
  • Working with Text Files and CSV Files
  • File Modes and Operations
  • Exception Handling in File Operations

• Error Handling and Exception Management

  • Common Python Errors: Syntax, Runtime, and Logical Errors
  • Introduction to Exceptions
  • Try, Except, Else, Finally Block
  • Raising and Catching Custom Exceptions
  • Best Practices in Exception Handling

• Object-Oriented Programming (OOP) in Python

  • Introduction to OOP Concepts: Classes and Objects
  • Defining Classes and Creating Objects
  • Instance and Class Variables
  • Methods: Regular and Static Methods
  • Inheritance, Polymorphism, and Encapsulation
  • Special Methods (e.g., __init__, __str__)

• Data Analysis and Visualization (Optional)

  • Introduction to Data Science with Python
  • Using Libraries: NumPy, Pandas, and Matplotlib
  • Data Manipulation with Pandas DataFrames
  • Visualizing Data: Line Plots, Bar Charts, Histograms

• Algorithms and Problem Solving

  • Sorting Algorithms: Bubble Sort, Selection Sort, Merge Sort, Quick Sort
  • Searching Algorithms: Linear Search, Binary Search
  • Algorithm Efficiency: Big O Notation and Time Complexity Analysis
  • Solving Common Problems with Python (e.g., Fibonacci sequence, prime numbers)

• Advanced Topics (Optional)

  • Introduction to Regular Expressions
  • Working with APIs and Web Scraping
  • Introduction to Database Connectivity with Python (SQLite)
  • Networking Basics: Sockets and Client-Server Communication

• Capstone Project and Practice Problems

  • Overview of a Capstone Problem
  • Step-by-Step Solution and Explanation
  • Practice Problems for Further Learning and Exploration

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