Python and Algorithmic Thinking for the Complete Beginner / Aristides S. Bouras.

Format:

Book

Author/Creator:

Bouras, Aristides, author.

Language:

English

Subjects (All):

Python (Computer program language).

Computer algorithms.

Physical Description:

1 online resource (908 p.)

Edition:

3rd revised edition.

Place of Publication:

Birmingham : Packt Publishing, Limited, 2024.

Summary:

Unlock the power of Python with this comprehensive guide, "Python and Algorithmic Thinking for the Complete Beginner." It covers everything from computer basics to advanced decision and loop control structures. Key Features Comprehensive coverage from basic computer operations to advanced programming concepts Step-by-step progression of each topic, along with tips and tricks to enhance coding efficiency In-depth exploration of Python and algorithmic thinking with exercises and practical examples Book Description This course is meticulously designed to take beginners on a journey through the fascinating world of Python programming and algorithmic thinking. The initial chapters lay a strong foundation, starting with the basics of how computers operate, moving into Python programming, and familiarizing learners with integrated development environments like IDLE and Visual Studio Code. Further, the course delves into essential programming constructs such as variables, constants, input/output handling, and operators. You'll gain practical experience with trace tables, sequence control structures, and decision control structures through comprehensive exercises and examples. The curriculum emphasizes hands-on learning with chapters dedicated to manipulating numbers, strings, and understanding complex mathematical expressions. By mastering these concepts, you'll be well-prepared to tackle more advanced topics. The final chapters introduce you to object-oriented programming and file manipulation, rounding out your skill set. Throughout the course, practical tips and tricks are provided to enhance your coding efficiency and problem-solving skills. By the end of this course, you will have a robust understanding of Python programming and the ability to apply algorithmic thinking to solve real-world problems. What you will learn Understand how computers work and the basics of Python programming Install and use integrated development environments (IDEs) Develop skills in decision and loop control structures Manipulate data using lists, dictionaries, and strings Apply algorithmic thinking to solve complex problems Gain proficiency in object-oriented programming & file manipulation Who this book is for This course is ideal for absolute beginners with no prior programming experience. Basic computer literacy is required, but no specific knowledge of programming or algorithms is necessary. It is also suitable for individuals looking to refresh their Python skills and enhance their understanding of algorithmic thinking. High school and college students interested in programming, professionals seeking to upskill, and hobbyists eager to learn a new programming language will all find value in this course.

Contents:

Intro

Table of Contents

Preface

About the Author

Acknowledgments

How This Book is Organized

Who Should Buy This Book?

Conventions Used in This Book

How to Report Errata

Where to Download Material About this Book

If you Like this Book

Part I Introductory Knowledge

Chapter 1 How a Computer Works

1.1 Introduction

1.2 What is Hardware?

1.3 What is Software?

1.4 How a Computer Executes (Runs) a Program

1.5 Compilers and Interpreters

1.6 What is Source Code?

1.7 Review Questions: True/False

1.8 Review Questions: Multiple Choice

Chapter 2 Python and Integrated Development Environments

2.1 What is Python?

2.2 What is the Difference Between a Script and a Program?

2.3 Why You Should Learn Python

2.4 How Python Works

2.5 Integrated Development Environments

2.6 IDLE

2.7 Microsoft Visual Studio

Chapter 3 Software Packages to Install

3.1 What to Install

Review in "Introductory Knowledge"

Review Crossword Puzzles

Review Questions

Part II Getting Started with Python

Chapter 4 Introduction to Basic Algorithmic Concepts

4.1 What is an Algorithm?

4.2 The Algorithm for Making a Cup of Tea

4.3 Properties of an Algorithm

4.4 Okay About Algorithms. But What is a Computer Program Anyway?

4.5 The Three Parties!

4.6 The Three Main Stages Involved in Creating an Algorithm

4.7 Flowcharts

Exercise 4.7-1 Finding the Average Value of Three Numbers

4.8 What are "Reserved Words"?

4.9 What is the Difference Between a Statement and a Command?

4.10 What is Structured Programming?

4.11 The Three Fundamental Control Structures

Exercise 4.11-1 Understanding Control Structures Using Flowcharts

4.12 Your First Python Program

4.13 What is the Difference Between a Syntax Error, a Logic Error, and a Runtime Error?

4.14 What "Debugging" Means

4.15 Commenting Your Code

4.16 User-Friendly Programs

4.17 Review Questions: True/False

4.18 Review Questions: Multiple Choice

Chapter 5 Variables and Constants

5.1 What is a Variable?

5.2 What is a Constant?

5.3 How Many Types of Variables and Constants Exist?

5.4 Rules and Conventions for Naming Variables and Constants in Python

5.5 What Does the Phrase "Declare a Variable" Mean?

5.6 How to Declare Variables in Python

5.7 How to Declare Constants in Python

5.8 Review Questions: True/False

5.9 Review Questions: Multiple Choice

5.10 Review Exercises

Chapter 6 Handling Input and Output

6.1 How to Output Messages and Results to a User's Screen?

6.2 How to Alter the Default Behavior of a print Statement?

6.3 How to Prompt the User to Enter Data?

6.4 Review Questions: True/False

6.5 Review Questions: Multiple Choice

Chapter 7 Operators

7.1 The Value Assignment Operator

7.2 Arithmetic Operators

7.3 What is the Precedence of Arithmetic Operators?

Notes:

Description based upon print version of record.

7.4 Compound Assignment Operators

OCLC-licensed vendor bibliographic record.

ISBN:

9781836209270

OCLC:

1441723056