Introduction to Computer Science: Coding

Introduction to Computer Science: Coding

Author: Kathleen M. Austin

Publisher: Goodheart-Wilcox Publisher

Published: 2017-08-16

Total Pages: 0

ISBN-13: 9781635630565

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Learn the basics of computer science through coding with Scratch, App Inventor, Alice, and HTML.


Python Programming

Python Programming

Author: John M. Zelle

Publisher: Franklin, Beedle & Associates, Inc.

Published: 2004

Total Pages: 533

ISBN-13: 1887902996

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This book is suitable for use in a university-level first course in computing (CS1), as well as the increasingly popular course known as CS0. It is difficult for many students to master basic concepts in computer science and programming. A large portion of the confusion can be blamed on the complexity of the tools and materials that are traditionally used to teach CS1 and CS2. This textbook was written with a single overarching goal: to present the core concepts of computer science as simply as possible without being simplistic.


Explorations in Computing

Explorations in Computing

Author: John S. Conery

Publisher: CRC Press

Published: 2014-09-24

Total Pages: 435

ISBN-13: 1466572450

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An Active Learning Approach to Teaching the Main Ideas in Computing Explorations in Computing: An Introduction to Computer Science and Python Programming teaches computer science students how to use programming skills to explore fundamental concepts and computational approaches to solving problems. Tbook gives beginning students an introduction to


Practical Programming

Practical Programming

Author: Paul Gries

Publisher: Pragmatic Bookshelf

Published: 2017-12-06

Total Pages: 554

ISBN-13: 1680504126

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Classroom-tested by tens of thousands of students, this new edition of the bestselling intro to programming book is for anyone who wants to understand computer science. Learn about design, algorithms, testing, and debugging. Discover the fundamentals of programming with Python 3.6--a language that's used in millions of devices. Write programs to solve real-world problems, and come away with everything you need to produce quality code. This edition has been updated to use the new language features in Python 3.6.


Introduction to Computation and Programming Using Python, second edition

Introduction to Computation and Programming Using Python, second edition

Author: John V. Guttag

Publisher: MIT Press

Published: 2016-08-12

Total Pages: 466

ISBN-13: 0262529629

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The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (MOOC). This new edition has been updated for Python 3, reorganized to make it easier to use for courses that cover only a subset of the material, and offers additional material including five new chapters. Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. This edition offers expanded material on statistics and machine learning and new chapters on Frequentist and Bayesian statistics.


Under One Condition: An Introduction to Computer Science Principles and Programming in Python

Under One Condition: An Introduction to Computer Science Principles and Programming in Python

Author: Danielle K. Park

Publisher: Danielle K. Park

Published: 2021-04-01

Total Pages: 38

ISBN-13:

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Under One Condition: An Introduction to Computer Science Principles and Programming in Python is designed for curious middle school and building high school students. This book covers topics including design and development, computing errors, abstraction, mutability, computer networks, safe computing, and the many aspects of data.


You Can Do It!

You Can Do It!

Author: Francis Glassborow

Publisher: John Wiley & Sons

Published: 2004-04-21

Total Pages: 379

ISBN-13: 0470863994

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Want to start programming but don't know where to start? Don't worry! With a radically different approach to programming, author Francis Glassborow demystifies programming concepts, and shows you how to create real applications with C++. Working with computing novice Roberta Allen he teaches you the basic elements of programming and will have you writing programs from the first chapter.


Computer Programming for Absolute Beginners

Computer Programming for Absolute Beginners

Author: Joakim Wassberg

Publisher: Packt Publishing Ltd

Published: 2020-07-31

Total Pages: 430

ISBN-13: 1839212535

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Get to grips with the building blocks of programming languages and get started on your programming journey without a computer science degree Key FeaturesUnderstand the fundamentals of a computer program and apply the concepts you learn to different programming languagesGain the confidence to write your first computer programExplore tips, techniques, and best practices to start coding like a professional programmerBook Description Learning how to code has many advantages, and gaining the right programming skills can have a massive impact on what you can do with your current skill set and the way you advance in your career. This book will be your guide to learning computer programming easily, helping you overcome the difficulties in understanding the major constructs in any mainstream programming language. Computer Programming for Absolute Beginners starts by taking you through the building blocks of any programming language with thorough explanations and relevant examples in pseudocode. You'll understand the relationship between computer programs and programming languages and how code is executed on the computer. The book then focuses on the different types of applications that you can create with your programming knowledge. You'll delve into programming constructs, learning all about statements, operators, variables, and data types. As you advance, you'll see how to control the flow of your programs using control structures and reuse your code using functions. Finally, you'll explore best practices that will help you write code like a pro. By the end of this book, you'll be prepared to learn any programming language and take control of your career by adding coding to your skill set. What you will learnGet to grips with basic programming language concepts such as variables, loops, selection and functionsUnderstand what a program is and how the computer executes itExplore different programming languages and learn about the relationship between source code and executable codeSolve problems using various paradigms such as procedural programming, object oriented programming, and functional programmingWrite high-quality code using several coding conventions and best practicesBecome well-versed with how to track and fix bugs in your programsWho this book is for This book is for beginners who have never programmed before and are looking to enter the world of programming. This includes anyone who is about to start studying programming and wants a head start, or simply wants to learn how to program on their own.


DK Workbooks: Computer Coding

DK Workbooks: Computer Coding

Author: DK

Publisher: National Geographic Books

Published: 2014-08-18

Total Pages: 0

ISBN-13: 146542685X

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Take kids from browsing to building with DK Workbooks: Computer Coding. Created for children ages 6–9, this highly visual workbook builds basic programming skills using Python, a free computer coding program and language available for download. Perfect for beginner coders, DK Workbooks: Computer Coding explains how computer coding works and teaches kids how to complete simple coding actions with clear, step-by-step instructions and fun pixel art. All they need is a desktop or laptop, and an internet connection to download Python 3. From creating lists to solving math problems to controlling a robot in a maze, young coders will learn how to think like a computer. Kids can even test their coding knowledge with written quizzes at the end of each section and a glossary at the back of the book. Supporting STEM education initiatives, computer coding teaches kids how to think creatively, work collaboratively, and reason systematically, and is quickly becoming a necessary and sought-after skill. DK's computer coding books are full of fun exercises with step-by-step guidance, making them the perfect introductory tools for building vital skills in computer programming.


Structure and Interpretation of Computer Programs

Structure and Interpretation of Computer Programs

Author: Harold Abelson

Publisher: MIT Press

Published: 2022-05-03

Total Pages: 642

ISBN-13: 0262367629

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A new version of the classic and widely used text adapted for the JavaScript programming language. Since the publication of its first edition in 1984 and its second edition in 1996, Structure and Interpretation of Computer Programs (SICP) has influenced computer science curricula around the world. Widely adopted as a textbook, the book has its origins in a popular entry-level computer science course taught by Harold Abelson and Gerald Jay Sussman at MIT. SICP introduces the reader to central ideas of computation by establishing a series of mental models for computation. Earlier editions used the programming language Scheme in their program examples. This new version of the second edition has been adapted for JavaScript. The first three chapters of SICP cover programming concepts that are common to all modern high-level programming languages. Chapters four and five, which used Scheme to formulate language processors for Scheme, required significant revision. Chapter four offers new material, in particular an introduction to the notion of program parsing. The evaluator and compiler in chapter five introduce a subtle stack discipline to support return statements (a prominent feature of statement-oriented languages) without sacrificing tail recursion. The JavaScript programs included in the book run in any implementation of the language that complies with the ECMAScript 2020 specification, using the JavaScript package sicp provided by the MIT Press website.