Introduction to Computer Science Using Python: A Computational Problem-Solving Focus,recommended by Guido van Rossum, the creator of Python (âThis is not your average Python bookâ¦I think this book is a great text for anyone teaching CS1â). With a focus on computational problem solving from Chapter 1, this text provides numerous hands-on exercises and examples, each chapter ending with a significant-size program demonstrating the step-by-step process of program development, testing, and debugging. A final chapter includes the history of computing, starting with Charles Babbage, containing over 65 historical images. An end-of-book Python 3 Programmersâ Reference is also included for quick lookup of Python details. Extensive instructor materials are provided for those adopting for classroom use, including an instructorsâ manual, over 1,000 well-developed slides covering all fundamental topics of each chapter, source code, and test bank.Â
INTRODUCTION TO COMPUTER NUMERICAL CONTROL, 5/e is the industryâs most thorough, easy-to-follow, and well-illustrated introduction to the fundamentals of CNC technology and programming. Throughout, it relies on illustrations and interactive software to promote learning, not lengthy narratives. Coverage includes: programming linear profiles, programming with cutter diameter compensation, programming with subprograms, CNC lathe programming, and more.Â Program patterns are provided with many programs, quickly explaining what groups of programming blocks are intended to accomplish. This edition contains an all-new chapter on wire EDM technology and programming, as well as new and updated reference appendices.
Interactive dynamic displays of machining examples are presented via an full industrial quality machining simulatorÂ are now available via a premium website: www.pearsonhighered.com/valentino.
A Balanced Introduction to Computer Science, 3/e is ideal for Introduction to Computing and the Web courses in departments of Math and Computer Science.
In this authoritative book, widely respected practitioner and teacher Matt Bishop presents a clear and useful introduction to the art and science of information security. Bishop's insights and realistic examples will help any practitioner or student understand the crucial links between security theory and the day-to-day security challenges of IT environments.
Bishop explains the fundamentals of security: the different types of widely used policies, the mechanisms that implement these policies, the principles underlying both policies and mechanisms, and how attackers can subvert these tools--as well as how to defend against attackers. A practicum demonstrates how to apply these ideas and mechanisms to a realistic company.
Introduction to Computer Security is adapted from Bishop's comprehensive and widely praised book, Computer Security: Art and Science. This shorter version of the original work omits much mathematical formalism, making it more accessible for professionals and students who have a less formal mathematical background, or for readers with a more practical than theoretical interest.
This book is for anyone who wants to understand computer programming. You'll learn to program in a language that' s used in millions of smartphones, tablets, and PCs. You'll code along with the book, writing programs to solve real-world problems as you learn the fundamentals of programming using Python 3. You'll learn about design, algorithms, testing, and debugging, and come away with all the tools you need to produce quality code. In this second edition, we've updated almost all the material, incorporating the lessons we've learned over the past five years of teaching Python to people new to programming.You don't need any programming experience to get started. First, you'll get a detailed introduction to Python and to programming. You'll find out exactly what happens when your programs are executed. Through real-world examples, you'll learn how to work with numbers, text, big data sets, and files. Then you'll see how to create and use your own data types.The incremental examples show you the steps and missteps that happen while developing programs, so you know what to expect when you tackle a problem on your own. Inspired by "How to Design Programs" (HtDP), you'll learn a six-step recipe for designing functions, which helps you as you start to learn the concepts--and becomes an integral part of writing programs by the end.As you learn to use the fundamental programming tools in the first half of the book, you'll see how to document and organize your code so that you and other programmers can more easily read and understand it. Beyond the basics, you'll learn how to ensure that your programs are reliable, and how to work with databases, download data from the web automatically, and build user interfaces. Most importantly, you'll learn how to think like a professional programmer.You'll need to download Python 3, available from "python.org". With that download comes IDLE, the editor we use for writing and running Python programs. (If you use Linux, you may need to installPython 3 and IDLE separately.)
Computers allow us to do things today that were barely dreamed of 60 years ago. Today, computers and networks provide us a personal space in which we can share our innermost thoughts and feelings on a large network with others.
Introduction to Mediated Communication explains and discusses mediated communication through a functional approach -Â focusing attention on how people use computer technology to accomplish their communication functions.
Rather than focus on the nature of the medium itself and what sets it apart from more âtraditionalâ media, Introduction to Computer Mediated Communication focuses on what functions people use technology for, and how people use technology to accomplish their multiple communication goals. By focusing on functions rather than channels, the publication provides instruction into the reason people use media, rather than simply discussing various technological products that will soon be outdated.
Introduction to Computer Mediated Communication by David Westerman, Nicholas David Bowman, and Ken Lachlan:
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.
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