Author: John M. Zelle
Publisher: Franklin, Beedle & Associates, Inc.
Release Date: 2004
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.
Welcome to computer science in the 21st century. Did you ever wonder how computers represent DNA? How they can download a web page containing population data and analyze it to spot trends? Or how they can change the colors in a color photograph? If so, this book is for you. By the time you're done, you'll know how to do all of that and a lot more. And Python makes it easy and fun. Computers are used in every part of science from ecology to particle physics. This introduction to computer science continually reinforces those ties by using real-world science problems as examples. Anyone who has taken a high school science class will be able to follow along as the book introduces the basics of programming, then goes on to show readers how to work with databases, download data from the web automatically, build graphical interfaces, and most importantly, how to think like a professional programmer. Topics covered include: Basic elements of programming from arithmetic to loops and if statements. Using functions and modules to organize programs. Using lists, sets, and dictionaries to organize data. Designing algorithms systematically. Debugging things when they go wrong. Creating and querying databases. Building graphical interfaces to make programs easier to use. Object-oriented programming and programming patterns.
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.
Author: John Wilmot
Release Date: 2018-12-05
A modern computer might be defined as "a machine that stores and manipulates information under the controlof a changeable program." There are two key elements to this definition. The first is that computersare devices for manipulating information. This means that we can put information into a computer, and itcan transform the information into new, useful forms, and then output or display the information for ourinterpretation.Computers are not the only machines that manipulate information. When you use a simple calculator toadd up a column of numbers, you are entering information (the numbers) and the calculator is processing theinformation to compute a running sum which is then displayed. Another simple example is a gas pump. Asyou fill your tank, the pump uses certain inputs: the current price of gas per gallon and signals from a sensorthat reads the rate of gas flowing into your car. The pump transforms this input into information about howmuch gas you took and how much money you owe
Author: John S. Conery
Publisher: CRC Press
Release Date: 2014-09-24
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 computer science concepts and computer programming. Designed for CS0 and CS1 courses, it is very well suited for alternative lecture styles, including flipped classrooms. Prepares Students for Advanced Work in Computer Science A revised and updated version of the author’s Explorations in Computing: An Introduction to Computer Science, this text incorporates two major differences. It now uses Python, instead of Ruby, as the lab software so that students can seamlessly transition from introductory projects to more advanced studies in later courses. The book also introduces Python programming, providing students with sufficient programming skills so they can implement their own programs. Practical, Step-by-Step Projects The interactive lab projects in each chapter allow students to examine important ideas in computer science, particularly how algorithms offer computational solutions to problems. Students can type expressions, view results, and run experiments that help them understand the concepts in a hands-on way. Web Resources The Python software modules for each lab project are available on the author’s website. The modules include data files and sample Python code that students can copy and modify. In addition, the site provides a lab manual of installation instructions and tips for editing programs and running commands in a terminal emulator.
This book introduces Python programming language and fundamental concepts in algorithms and computing. Its target audience includes students and engineers with little or no background in programming, who need to master a practical programming language and learn the basic thinking in computer science/programming. The main contents come from lecture notes for engineering students from all disciplines, and has received high ratings. Its materials and ordering have been adjusted repeatedly according to classroom reception. Compared to alternative textbooks in the market, this book introduces the underlying Python implementation of number, string, list, tuple, dict, function, class, instance and module objects in a consistent and easy-to-understand way, making assignment, function definition, function call, mutability and binding environments understandable inside-out. By giving the abstraction of implementation mechanisms, this book builds a solid understanding of the Python programming language.
Author: Beth Thomsett-Scott
Publisher: Rowman & Littlefield
Release Date: 2016-06-21
Genre: Language Arts & Disciplines
Author: Kent D. Lee
Publisher: Springer Science & Business Media
Release Date: 2010-10-26
Computer programming is a skill that can bring great enjoyment from the creativity involved in designing and implementing a solution to a problem. This classroom-tested and easy-to-follow textbook teaches the reader how to program using Python, an accessible language which can be learned incrementally. Through an extensive use of examples and practical exercises, students will learn to recognize and apply abstract patterns in programming, as well as how to inspect the state of a program using a debugger tool. Features: contains numerous examples and solved practice exercises designed for an interactive classroom environment; highlights several patterns which commonly appear in programs, and presents exercises that reinforce recognition and application of these patterns; introduces the use of a debugger, and includes supporting material that reveals how programs work; presents the Tkinter framework for building graphical user interface applications and event-driven programs; provides helpful additional resources for instructors at the associated website: http://cs.luther.edu/~leekent/CS1. This hands-on textbook for active learning in the classroom will enable undergraduates in computer science to develop the necessary skills to begin developing their own programs. It employs Python as the introductory language due to the wealth of support available for programmers.
Author: Charles Dierbach
Publisher: John Wiley & Sons
Release Date: 2012-12-25
Introduction to Computer Science Using Python: A Computational Problem–Solving Focus introduces readers to programming and computational problem–solving via a back–to–basics, step–by–step, objects–late approach that makes this book easy to teach and learn from. Readers are provided with a thorough conceptual grounding in computational problem solving before introducing them to specific Python syntax, thus giving them the background to become successful programmers in any language. Dierbach also offers readers a thorough grounding in imperative programming before introducing them to object–oriented programming. His step–by–step pedagogical approach makes this an accessible and reader–friendly introduction to programming that eases readers into program–writing through a variety of hands–on exercises.
This book is well designed for learners at all ages ranged from middle or high school students to adults who want to learn coding as it does not assume any prior background in computer programming. Python is chosen as the programming language used in this book as I believe it is suitable and convenient for all beginners to start learning computer programming. If you are an absolute beginner, this book is the right choice for you to step into the world of Computer Science. If you are an experienced learner, this book brings you to an interesting journey to Python discovery.
Perkovic's Introduction to Programming Using Python: An Application Development Focus, 2e is more than just an introduction to programming. It is an inclusive introduction to Computer Science that takes the pedagogical approach of "the right tool for the job at the right moment," and focuses on application development. The approach is hands-on and problem-oriented, with practice problems and solutions appearing throughout the text. The text is imperative-first, but does not shy away from discussing objects early where appropriate. Discussions of user-defined classes and Object-Oriented Programming appear later in the text, when students have more background and concepts can be motivated. Chapters include an introduction to problem solving techniques and classical algorithms, problem-solving and programming and ways to apply core skills to application development. This edition also includes examples and practice problems provided within a greater variety of domains. It also includes case studies integrated into additional chapters, providing students with real life applications using the concepts and tools covered in the chapters.
Author: Charles Dierbach
Publisher: Wiley Global Education
Release Date: 2012-11-30
Introduction to Computer Science Using Python: A Computational Problem-Solving Focus introduces students to programming and computational problem-solving via a back-to-basics, step-by-step, objects-late approach that makes this book easy to teach and learn from. Students are provided with a thorough conceptual grounding in computational problem solving before introducing them to specific Python syntax, thus giving them the background to become successful programmers in any language. Dierbach also offers students a thorough grounding in imperative programming before introducing them to object-oriented programming. His step-by-step pedagogical approach makes this an accessible and student-friendly introduction to programming that eases students into program-writing through a variety of hands-on exercises.