It aims to teach computer science from the bottom end up - working from operating systems fundamentals through to how those applications are complied and executed, so you might be able to figure out where to start looking to make sense of it all.

This book will familiarize you with the Scratch visual programming environment. The book is structured as a collection of tasks. Concepts are introduced in order to solve a specific task such as animating dancing images or building a game.

Quantum Physics has some spectacular applications in computer science. This book is a concise introduction to Quantum Computation, developing the basic elements of this new branch of computational theory without assuming any background in physics.

This book introduces the mathematics behind computer programming. It intents to tell: programming is isomorphic to mathematics. Just like in art and music, there are interesting stories and mathematicians behind the great minds.

For all readers interested in the basics of computer science. It provides a survey of basic mathematical objects, notation, and techniques which will be useful in later computer science courses.

To provide an introduction to computer science as an intellectually rich and vibrant field rather than focusing exclusively on computer programming. It emphasizes concepts and problem-solving over syntax and programming language features.

This book is an introduction to computer science. It will teach you to program, and do so in ways that are of practical value and importance. It uses a data-centric approach: data centric = data science + data structures.

This book introduces the reader to central ideas of computation by establishing a series of mental models for computation. It has had a dramatic impact on computer science curricula over the past decades. Examples are implemented using the JavaScript.

This book is entertaining to read and gives a good basic introduction to the subject for anyone who hasn't studied Computer Science. It uses examples from the publishing industry to introduce the fascinating discipline of Computer Science to the uninitiated.

This book shows you how computer programming works without all the technical details or hard programming language. It explores the common parts of every computer programming language and how to write for multiple platforms.

This book uses the TeX and LaTeX system to provide an introduction to a number of computer science topics. This book is based on the lecture notes of a course taught at the University of Tennessee.

This book introduces mathematical logic with an emphasis on proof theory and procedures for algorithmic construction of formal proofs. It is useful for the formalization of proofs and basics of automatic theorem proving.

This book concentrates on a tightly related group of topics which form the spine of the subject. These include specification, implementation, semantics, programs, programming, correctness, abstraction and computation.

This series is for people who are interested in computer programming because it's fun. It uses the Logo programming language as the vehicle for an exploration of computer science from the perspective of symbolic computation and artificial intelligence.

This textbook combines the theoretical foundations of computing with essential discrete mathematics. It shows you how to use such essential data structures as lists, stacks, queues, sets, trees, heaps, priority queues, and graphs.

This book deepens your knowledge of problem-solving techniques from the realm of computer science by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more.

Using databases as an entry to category theory, this book explains category theory by examples, and shows that category theory can be useful outside of mathematics as a rigorous, flexible, and coherent modeling language throughout the sciences.

This book takes readers on a tour through some of the deepest ideas of maths, computer science and physics. Full of insights, arguments and philosophical perspectives, the book covers an amazing array of topics.

This practical guide gets you started on your programming journey with the help of Perl 6, the younger sister of the popular Perl programming language. Ideal for beginners, this hands-on book includes over 100 exercises with multiple solutions.

If you want to understand computer science, but have no programming experience, this book is for you. It starts with the most basic programming concepts and carefully defines every term when it's first used, in a logical progression.

It includes topics from discrete mathematics, automata theory, formal language theory, and the theory of computation, along with practical applications to computer science. The course has no prerequisites other than introductory computer programming.

The book introduces the reader to computer programming, i.e. algorithms and data structures. It covers many new programming concepts that have emerged in recent years including object-oriented programming and design patterns.

This book focuses on how to describe information processes by defining procedures, how to analyze the costs required to carry out a procedure, and the fundamental limits of what can and cannot be computed mechanically.

This book introduces the mathematics that supports advanced computer programming and the analysis of algorithms. The primary aim of its well-known authors is to provide a solid and relevant base of mathematical skills.

This books gives an introduction to discrete mathematics for beginning undergraduates. One of original features of this book is that it begins with a presentation of the rules of logic as used in mathematics. Many examples of formal and informal proofs are given.

This book is designed for a first course1 in computer science that uses C++ as the language by which programming is studied. It provides strong grounding in the analysis, construction, and design of programs and programming.

This book is for all readers interested in introductory programming courses using the Java programming language.

This book has had a dramatic impact on computer science curricula over the past decade. This long-awaited revision contains changes throughout the text. Examples are implemented using the Scheme dialect of Lisp.

This book works hard to make the somewhat tricky ideas of Scheme accessible. It stresses small sections on key language features, from basic functions, variables, and onward to recursion and other functional programming concepts.

This book covers the basics of programming and data structures, and gives first-time computer science students the opportunity to not only write programs, but to prove theorems and analyze algorithms as well.

This book is an introduction to Java programming for beginners. It is tailored for students preparing for the Computer Science Advanced Placement (AP) Exam, but it is for anyone who wants to learn Java.

The goal of this book is to teach you to think like a computer scientist, using C++ as the programming language. It means the ability to formulate problems, think creatively about solutions, and express a solution clearly and accurately.

The topic of programming in the C language is vast, and the content selection represents a carefully selected minimal set of chapters which is both manageable for first-time programmers and a good basis for further growth.

This book is an introduction to computer science using the Python programming language. It covers the basics of computer programming, including variables and values, functions, conditionals and control flow, program development and debugging.

Think Python is an introduction to Python programming for students with no programming experience. It starts with the most basic concepts of programming, and is carefully designed to define all terms when they are first used.

This book is an introductory functional programming textbook based on the OCaml language. It is intended for newcomers who know some programming but want to learn programming in the function-oriented paradigm, or just want to learn OCaml.