Python Programming

Python Programming
Author: John M. Zelle
Publsiher: Franklin, Beedle & Associates, Inc.
Total Pages: 533
Release: 2004
Genre: Computers
ISBN: 9781887902991

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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.

Introduction to Computer Science

Introduction to Computer Science
Author: ITL Education Solutions Limited
Publsiher: Pearson Education India
Total Pages: 536
Release: 2011
Genre: Computer science
ISBN: 8131760308

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Discusses most ideas behind a computer in a simple and straightforward manner. The book is also useful to computer enthusiasts who wish to gain fundamental knowledge of computers.

Explorations in Computing

Explorations in Computing
Author: John S. Conery
Publsiher: CRC Press
Total Pages: 439
Release: 2014-09-24
Genre: Computers
ISBN: 9781466572454

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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

Introduction to Computation and Programming Using Python second edition

Introduction to Computation and Programming Using Python  second edition
Author: John V. Guttag
Publsiher: MIT Press
Total Pages: 466
Release: 2016-08-12
Genre: Computers
ISBN: 9780262529624

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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.

Introduction to Computer Science

Introduction to Computer Science
Author: Jean-Paul Tremblay,Richard B. Bunt
Publsiher: Unknown
Total Pages: 806
Release: 1989
Genre: Algorithms
ISBN: 0071003487

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Computer Science

Computer Science
Author: Subrata Dasgupta
Publsiher: Oxford University Press
Total Pages: 169
Release: 2016
Genre: Computer science
ISBN: 9780198733461

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While the development of information technology has been obvious to all, the underpinning computer science has been less apparent. Subrata Dasgupta provides a thought-provoking introduction to the field and its core principles, considering computer science as a science of symbol processing.

Practical Programming

Practical Programming
Author: Paul Gries,Jennifer Campbell,Jason Montojo
Publsiher: Pragmatic Bookshelf
Total Pages: 576
Release: 2017-12-06
Genre: Computers
ISBN: 9781680504125

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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 Computer Science

Introduction to Computer Science
Author: Gilbert Brands
Publsiher: CreateSpace
Total Pages: 178
Release: 2013-10-11
Genre: Computers
ISBN: 1492827843

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This textbook covers the content of a general introductory lecture in computer science held at a German University. The basic stuff for most special courses - circuit technology, programming, operating system, networking, security, and more - is presented along with some further background information not necessarily covered by other lectures, but helping to understand relationships and reasons why certain techniques are done in just that way. The learning process is supported by numerous exercises. 2nd edition with minor changes and clarifications. A forum is now available on http://www.gilbertbrands.de/smf/ . Though the primary language of this site is German, feel free to post your comments in English.Dieses Lehrbuch deckt den Inhalt einer allgemeinen Einführungsveranstaltung in die Informatik ab. Die grundlegenden Dinge für die meisten spezielle Kurse - Schaltungstechnik, Programmierung, Betriebssysteme, Netzwerke, Sicherheit und vieles mehr - werden zusammen mit einigen weiteren Hintergrundinformationen, die nicht unbedingt von anderen Vorlesungen abgedeckt werden, sondern dazu beitragen sollen, Beziehungen und Hintergründe, warum bestimmte Techniken in einer bestimmten Weise ausgeführt sind, verständlich dargestellt. Der Lernprozess wird durch zahlreiche Übungen unterstützt.Zweite Auflage mit kleinen Änderungen. Ein Forum ist unter http://www.gilbertbrands.de/smf/ für Fragen, Kommentare und Anregungen verfügbar.