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Introduction To Computing And Programming In Python A Multimedia Approach Second Edition Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Introduction To Computing And Programming In Python A Multimedia Approach Second Edition book. This book definitely worth reading, it is an incredibly well-written.
Author : Barbara Ericson
Publisher : Prentice Hall
Page : 433 pages
File Size : 47,9 Mb
Release : 2012
Category : Electronic
ISBN : 9780136060277
Author : Mark Guzdial
Publisher : Unknown
Page : 378 pages
File Size : 54,8 Mb
Release : 2005
Category : Python (Computer program language)
ISBN : 0131855352
Author : Mark Guzdial,Barbara Ericson
Publisher : Unknown
Page : 0 pages
File Size : 41,7 Mb
Release : 2010
Category : Multimedia systems
ISBN : 0136060234
For courses in Introduction to Computing or Introduction to Programming. There is a growing interest in computing for non-CS majors, or for students who have not yet determined their majors (sometimes called the "CS0" market). Computer science professors are also confronted with increased attrition and failure rates. Guzdial introduces programming as a way of creating and manipulating media-a context familiar and intriguing to today's students. Students begin actual programming early on (sometimes over 100 lines of code in the second assignment). Guzdial's approach has met with substantial success in class testing.
Author : Mark Guzdial,Barbara Ericson
Publisher : Unknown
Page : 0 pages
File Size : 45,5 Mb
Release : 2016
Category : Multimedia systems
ISBN : 0134025547
Introduction to Computing and Programming in Python is a uniquely researched and up-to-date volume that is widely recognized for its successful introduction to the subject of Media Computation. Emphasizing creativity, classroom interaction, and in-class programming examples
Author : Mark J. Guzdial,Barbara Ericson
Publisher : Prentice Hall
Page : 448 pages
File Size : 49,9 Mb
Release : 2013-10-28
Category : Computers
ISBN : 0133591522
Introduction to Computing and Programming in Python, 3e, uses multimedia applications to motivate introductory computer science majors or non-majors. The book's hands-on approach shows how programs can be used to build multimedia computer science applications that include sound, graphics, music, pictures, and movies. The students learn a key set of computer science tools and topics, as well as programming skills; such as how to design and use algorithms, and practical software engineering methods. The book also includes optional coverage of HCI, as well as rudimentary data structures and databases using the user-friendly Python language for implementation. Authors Guzdial and Ericson also demonstrate how to communicate compatibly through networks and do concurrent programming. 0133591522 / 9780133591521 Introduction to Computing and Programming in Python & MyProgrammingLab with eText Package Package consists of 0132923513 / 9780132923514 Introduction to Computing and Programming in Python 0133590747 / 9780133590746 MyProgrammingLab with eText -- Access Code Card -- for Introduction to Computing and Programming in Python
Author : John V. Guttag
Publisher : MIT Press
Page : 466 pages
File Size : 50,5 Mb
Release : 2016-08-12
Category : Computers
ISBN : 9780262529624
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.
Author : Mark J. Guzdial,Barbara Ericson
Publisher : Pearson Higher Ed
Page : 449 pages
File Size : 48,5 Mb
Release : 2013-03-20
Category : Computers
ISBN : 9780273774556
This unique book uses multimedia applications to motivate introductory computer science majors or non-majors. The book's hands-on approach shows how programs can be used to build multimedia computer science applications that include sound, graphics, music, pictures, and movies. The students learn a key set of computer science tools and topics, as well as programming skills; such as how to design and use algorithms, and practical software engineering methods. The book also includes optional coverage of HCI, as well as rudimentary data structures and databases using the user-friendly Python language for implementation. Authors Guzdial and Ericson also demonstrate how to communicate compatibly through networks and do concurrent programming.
Author : Ljubomir Perkovic
Publisher : John Wiley & Sons
Page : 482 pages
File Size : 45,5 Mb
Release : 2015-04-20
Category : Computers
ISBN : 9781118890943
Perkovic's Introduction to Computing Using Python: An Application Development Focus, 2nd Edition 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 : John M. Zelle
Publisher : Franklin, Beedle & Associates, Inc.
Page : 533 pages
File Size : 47,5 Mb
Release : 2004
Category : Computers
ISBN : 9781887902991
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.
Author : John V. Guttag
Publisher : MIT Press
Page : 466 pages
File Size : 54,7 Mb
Release : 2016-08-08
Category : Computers
ISBN : 9780262337397
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.
Author : Perkovic
Publisher : Unknown
Page : 128 pages
File Size : 54,8 Mb
Release : 2013-02-11
Category : Electronic
ISBN : 1118631366
Author : Mark J. Guzdial,Barbara Ericson
Publisher : Pearson Higher Ed
Page : 524 pages
File Size : 54,6 Mb
Release : 2016-07-26
Category : Computers
ISBN : 9781292109879
For courses in Computer Programming with Python. Social Computing and Programming with Python Introduction to Computing and Programming in Python is a uniquely researched and up-to-date volume that is widely recognised for its successful introduction to the subject of Media Computation. Emphasising creativity, classroom interaction, and in-class programming examples, Introduction to Computing and Programming in Python takes a bold and unique approach to computation that engages students and applies the subject matter to the relevancy of digital media. The 4th Edition teaches students to program in an effort to communicate via social computing outlets, providing a unique approach that serves the interests of a broad range of students. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
Author : Andy Oram,Greg Wilson
Publisher : "O'Reilly Media, Inc."
Page : 624 pages
File Size : 51,9 Mb
Release : 2010-10-14
Category : Computers
ISBN : 144939776X
Many claims are made about how certain tools, technologies, and practices improve software development. But which claims are verifiable, and which are merely wishful thinking? In this book, leading thinkers such as Steve McConnell, Barry Boehm, and Barbara Kitchenham offer essays that uncover the truth and unmask myths commonly held among the software development community. Their insights may surprise you. Are some programmers really ten times more productive than others? Does writing tests first help you develop better code faster? Can code metrics predict the number of bugs in a piece of software? Do design patterns actually make better software? What effect does personality have on pair programming? What matters more: how far apart people are geographically, or how far apart they are in the org chart? Contributors include: Jorge Aranda Tom Ball Victor R. Basili Andrew Begel Christian Bird Barry Boehm Marcelo Cataldo Steven Clarke Jason Cohen Robert DeLine Madeline Diep Hakan Erdogmus Michael Godfrey Mark Guzdial Jo E. Hannay Ahmed E. Hassan Israel Herraiz Kim Sebastian Herzig Cory Kapser Barbara Kitchenham Andrew Ko Lucas Layman Steve McConnell Tim Menzies Gail Murphy Nachi Nagappan Thomas J. Ostrand Dewayne Perry Marian Petre Lutz Prechelt Rahul Premraj Forrest Shull Beth Simon Diomidis Spinellis Neil Thomas Walter Tichy Burak Turhan Elaine J. Weyuker Michele A. Whitecraft Laurie Williams Wendy M. Williams Andreas Zeller Thomas Zimmermann
Author : Steven Bird,Ewan Klein,Edward Loper
Publisher : "O'Reilly Media, Inc."
Page : 506 pages
File Size : 47,6 Mb
Release : 2009-06-12
Category : Computers
ISBN : 9780596555719
This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.
Author : Mark Guzdial,Barbara Ericson
Publisher : Prentice Hall
Page : 558 pages
File Size : 48,7 Mb
Release : 2007
Category : Computers
ISBN : 0131496980
Mark Guzdial and Barb Ericson have a most effective method for teaching computing and Java programming in a context that readers find interesting: manipulating digital media. Readers get started right away by learning how to write programs that create interesting effects with sounds, pictures, web pages, and video. The authors use these multimedia applications to teach critical programming skills and principles like how to design and use algorithms, and practical software engineering methods–all in the context of learning how to program in Java. Mark and Barb also demonstrate how to communicate compatibly through networks and do concurrent programming. The book also includes optional coverage of rudimentary data structures and databases using Java and comes with a CD-ROM containing all the code files referenced in the text and required for media manipulation. Allows readers to use their own media, such as personal sound or picture files. Demonstrates how to manipulate media in useful ways, from reducing red eye and splicing sounds to generating digital video special effects. The book also includes optional coverage of rudimentary data structures and databases using Java and comes with a CD-ROM containing all the code files referenced in the text and required for media manipulation. For beginners interested in learning more about basic multimedia computing and programming.