Introduction to computer science and programming
A beginner’s guide for students
6.1 Knowledge-Based Benefits • Students will understand the fundamentals of computer science including architecture, number systems, and data representation. • They will learn the core concepts of programming languages and how they work. • They will acquire problem-solving skills using algorithms, pseudocode, and flowcharts. • They will gain knowledge of object-oriented programming, data structures, and file handling, which form the backbone of computer science. 6.2 Skill-Based Benefits • Ability to write, compile, and debug programs in a structured way. • Development of logical and analytical thinking skills. • Hands-on experience with coding exercises, lab sessions, and projects. • Skills in handling data, designing programs, and solving practical problems. • Ability to design small software applications using modular programming. 6.3 Career-Based Benefits • Students preparing for university exams, competitive exams (like UGC NET, GATE, or coding tests) will find this book extremely useful. • Beginners aspiring to become software developers, web developers, or data analysts will get their first foundation here. • Non-technical students will develop digital literacy, making them more employable in all sectors. • For those aiming to pursue advanced studies in computer science, this book acts as a stepping stone toward data science, AI, and machine learning. 7. How to Use This Book Effectively 1. Start with the theory sections to understand the concepts. 2. Work through the examples and illustrations provided in each chapter. 3. Solve the end-of-chapter exercises to reinforce your understanding. 4. Try to implement the coding examples on your computer using an IDE or programming environment. 5. Progress toward mini-projects that challenge your creativity. This active-learning approach ensures students move from passive reading to active programming practice. 8. Future Scope After Studying This Book Once students complete this book, they will be ready to explore advanced areas such as: • Data Science and Analytics – Using programming to analyze large datasets. vii | P a g e • Artificial Intelligence and Machine Learning – Writing algorithms that learn and make decisions. • Web Development – Creating interactive websites using HTML, CSS, JavaScript, and backend programming. • Cybersecurity – Understanding how to protect systems from attacks. • Mobile App Development – Designing apps for Android or iOS. • Cloud Computing – Learning how modern software runs on distributed systems. Thus, the book serves as a foundation for a lifelong journey in computer science.
Minimum price
$9.99
$19.99
You pay
Author earns
About
About the Book
Book Description 1. Introduction to the Book The 21st century is often referred to as the digital age, a period where technology, computers, and information systems dominate almost every aspect of our lives. From communication and education to healthcare, finance, science, entertainment, and beyond, computers have become the backbone of human civilization. In this rapidly evolving world, learning Computer Science and Programming is no longer optional—it has become a fundamental requirement for every student, regardless of their academic or professional background. This book, “introduction to computer science And progrAmming: A beginner’s guide for students,” has been written to serve as a comprehensive yet accessible guide for learners who are new to the field of computer science. The objective of this book is to build strong foundational knowledge of computer systems, programming logic, problem-solving, and software development. It caters to beginners, high school and undergraduate students, and even professionals from non technical backgrounds who want to step into the fascinating world of programming. iv | P a g e Unlike most technical books that assume prior knowledge, this book starts with the absolute basics of computer science—what a computer is, how it works, and how humans communicate with machines. It gradually transitions into programming fundamentals, problem-solving techniques, and step-by-step coding exercises. Later chapters introduce readers to data structures, object-oriented programming, file handling, and modern computing applications such as artificial intelligence, cloud computing, and cybersecurity. Thus, this book does not just teach programming as a mechanical activity but helps readers think like computer scientists—to approach problems logically, design efficient solutions, and develop programs that can solve real-world challenges. 2. Objectives of the Book The primary goals of this book are: 1. To provide students with a solid introduction to computer science as a discipline. 2. To develop the ability to analyze problems logically and translate them into computational steps. 3. To introduce the concepts of algorithms, flowcharts, and structured problem-solving. 4. To train students in programming fundamentals such as variables, data types, operators, control structures, functions, and arrays. 5. To provide a clear and practical understanding of object-oriented programming concepts. 6. To give students exposure to data structures, file handling, and database basics, ensuring a well-rounded foundation. 7. To connect the study of programming with emerging trends in computer science such as AI, cybersecurity, and cloud computing. 8. To encourage hands-on learning through coding exercises, lab assignments, and small projects. 3. Pedagogical Approach The book has been written with student-centered pedagogy in mind. Many beginners often feel overwhelmed by programming books that are too technical, filled with jargon, or that dive into coding without proper explanation. To overcome these challenges, this book follows a step-by step learning methodology. • Simple Language: All concepts are explained in clear, simple, and student-friendly language. • Real-World Examples: Each topic is connected to real-life applications, so students understand why they are learning it. • Illustrations and Flowcharts: Diagrams, charts, and flowcharts are used extensively to make abstract concepts more concrete. • Incremental Learning: Topics progress from the simplest to the more complex, ensuring no student feels left behind. v | P a g e • Exercises and Labs: Each chapter concludes with problem sets, programming exercises, and practical lab activities to reinforce learning. • Mini-Projects: Students are encouraged to apply their skills in mini projects such as creating a calculator, a simple database, or a text-based game. This pedagogy ensures that students not only memorize programming syntax but also develop computational thinking skills. 4. Overview of the Book Content (Chapters 1–15) The book is divided into structured units and chapters that cover a wide range of topics. 1. Foundations of Computer Science – Introduces students to computers, their history, architecture, number systems, and data representation. 2. Programming Fundamentals – Explains algorithms, problem solving, programming paradigms, and setting up the programming environment. 3. Programming Concepts in Depth – Covers variables, operators, control structures, functions, arrays, strings, and pointers. 4. Object-Oriented Programming Concepts – Explains classes, objects, inheritance, polymorphism, and encapsulation. 5. Data Structures and File Handling – Introduces arrays, linked lists, stacks, queues, and the concept of file operations. By the time students reach Chapter 15, they will have the ability to write small programs, manipulate data, use control structures, and design solutions for practical problems. 5. Why This Book is Different from Others There are thousands of books on computer science and programming, but this book is unique because: 1. It is written specifically for beginners and students with little or no prior knowledge. 2. It combines theory and practical programming in one structured framework. 3. It explains not only how to program but also why programming is important. 4. It bridges the gap between basic concepts and advanced applications. 5. It contains practical exercises, problem-solving strategies, and projects that make learning interactive. 6. Benefits After Studying This Book Students who complete this book will gain several long-term academic and professional benefits. Let us break these benefits into knowledge based, skill-based, and career-based outcomes. vi | P a g e 6.1 Knowledge-Based Benefits • Students will understand the fundamentals of computer science including architecture, number systems, and data representation. • They will learn the core concepts of programming languages and how they work. • They will acquire problem-solving skills using algorithms, pseudocode, and flowcharts. • They will gain knowledge of object-oriented programming, data structures, and file handling, which form the backbone of computer science. 6.2 Skill-Based Benefits • Ability to write, compile, and debug programs in a structured way. • Development of logical and analytical thinking skills. • Hands-on experience with coding exercises, lab sessions, and projects. • Skills in handling data, designing programs, and solving practical problems. • Ability to design small software applications using modular programming. 6.3 Career-Based Benefits • Students preparing for university exams, competitive exams (like UGC NET, GATE, or coding tests) will find this book extremely useful. • Beginners aspiring to become software developers, web developers, or data analysts will get their first foundation here. • Non-technical students will develop digital literacy, making them more employable in all sectors. • For those aiming to pursue advanced studies in computer science, this book acts as a stepping stone toward data science, AI, and machine learning. 7. How to Use This Book Effectively 1. Start with the theory sections to understand the concepts. 2. Work through the examples and illustrations provided in each chapter. 3. Solve the end-of-chapter exercises to reinforce your understanding. 4. Try to implement the coding examples on your computer using an IDE or programming environment. 5. Progress toward mini-projects that challenge your creativity. This active-learning approach ensures students move from passive reading to active programming practice. 8. Future Scope After Studying This Book Once students complete this book, they will be ready to explore advanced areas such as: • Data Science and Analytics – Using programming to analyze large datasets. vii | P a g e • Artificial Intelligence and Machine Learning – Writing algorithms that learn and make decisions. • Web Development – Creating interactive websites using HTML, CSS, JavaScript, and backend programming. • Cybersecurity – Understanding how to protect systems from attacks. • Mobile App Development – Designing apps for Android or iOS. • Cloud Computing – Learning how modern software runs on distributed systems. Thus, the book serves as a foundation for a lifelong journey in computer science.
Feedback
Author
About the Author
Anshuman Kumar Mishra, M.Tech (Computer Science) Assistant Professor, Doranda College, Ranchi University
Prolific Author of 50+ Books on AI, Machine Learning & Computer Science | 20+ Years Experience
Anshuman Kumar Mishra is a dedicated educator, researcher, and highly prolific author with over 20 years of experience in Computer Science and Information Technology. Holding an M.Tech in Computer Science from BIT Mesra, he brings a rare combination of academic depth and practical teaching expertise.
Currently serving as Assistant Professor at Doranda College under Ranchi University, he has mentored thousands of students, helping them build strong foundations in programming, data science, and artificial intelligence. His student-centric teaching style emphasizes conceptual clarity, hands-on practice, and real-world application.
Anshuman is a prolific author with more than 50 books published across a wide spectrum of computer science and emerging technology domains. From foundational programming languages to advanced topics in Artificial Intelligence, Machine Learning, Reinforcement Learning, Decision Theory, and Computer Vision — his books are widely appreciated by students, educators, and professionals for their clear explanations, strong theoretical foundation, and practical approach.
His extensive body of work reflects his deep commitment to making complex subjects accessible and meaningful for learners at all levels. He is particularly recognized for creating well-structured learning paths that help readers progress from beginner to advanced levels with confidence.
Driven by the mission to democratize quality technical education, Anshuman continues to write and update books that bridge the gap between academic theory and industry practice.
When not teaching or writing, he actively follows and explores new developments in AI, Quantum Machine Learning, and Ethical Intelligence systems.
Contents
Table of Contents
Get the free sample chapters
Click the buttons to get the free sample in PDF or EPUB, or read the sample online here
The Leanpub 60 Day 100% Happiness Guarantee
Within 60 days of purchase you can get a 100% refund on any Leanpub purchase, in two clicks.
Now, this is technically risky for us, since you'll have the book or course files either way. But we're so confident in our products and services, and in our authors and readers, that we're happy to offer a full money back guarantee for everything we sell.
You can only find out how good something is by trying it, and because of our 100% money back guarantee there's literally no risk to do so!
So, there's no reason not to click the Add to Cart button, is there?
See full terms...
Earn $8 on a $10 Purchase, and $16 on a $20 Purchase
We pay 80% royalties on purchases of $7.99 or more, and 80% royalties minus a 50 cent flat fee on purchases between $0.99 and $7.98. You earn $8 on a $10 sale, and $16 on a $20 sale. So, if we sell 5000 non-refunded copies of your book for $20, you'll earn $80,000.
(Yes, some authors have already earned much more than that on Leanpub.)
In fact, authors have earned over $15 million writing, publishing and selling on Leanpub.
Learn more about writing on Leanpub
Free Updates. DRM Free.
If you buy a Leanpub book, you get free updates for as long as the author updates the book! Many authors use Leanpub to publish their books in-progress, while they are writing them. All readers get free updates, regardless of when they bought the book or how much they paid (including free).
Most Leanpub books are available in PDF (for computers) and EPUB (for phones, tablets and Kindle). The formats that a book includes are shown at the top right corner of this page.
Finally, Leanpub books don't have any DRM copy-protection nonsense, so you can easily read them on any supported device.
Learn more about Leanpub's ebook formats and where to read them
Write and Publish on Leanpub
You can use Leanpub to easily write, publish and sell in-progress and completed ebooks and online courses!
Leanpub is a powerful platform for serious authors, combining a simple, elegant writing and publishing workflow with a store focused on selling in-progress ebooks.
Leanpub is a magical typewriter for authors: just write in plain text, and to publish your ebook, just click a button. (Or, if you are producing your ebook your own way, you can even upload your own PDF and/or EPUB files and then publish with one click!) It really is that easy.