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Classic Computer Science Problems in Python

Classic Computer Science Problems in Python
Author: David Kopec
Publisher: Simon and Schuster
Total Pages: 331
Release: 2019-03-05
Genre: Computers
ISBN: 1638355231

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"Whether you're a novice or a seasoned professional, there's an Aha! moment in this book for everyone." - James Watson, Adaptive ”Highly recommended to everyone interested in deepening their understanding of Python and practical computer science.” —Daniel Kenney-Jung, MD, University of Minnesota Key Features • Master formal techniques taught in college computer science classes • Connect computer science theory to real-world applications, data, and performance • Prepare for programmer interviews • Recognize the core ideas behind most “new” challenges • Covers Python 3.7 Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Programming problems that seem new or unique are usually rooted in well-known engineering principles. Classic Computer Science Problems in Python guides you through time-tested scenarios, exercises, and algorithms that will prepare you for the “new” problems you’ll face when you start your next project. In this amazing book, you'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. As you work through examples for web development, machine learning, and more, you'll remember important things you've forgotten and discover classic solutions that will save you hours of time. What You Will Learn • Search algorithms • Common techniques for graphs • Neural networks • Genetic algorithms • Adversarial search • Uses type hints throughout This Book Is Written For For intermediate Python programmers. About The Author David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014), Classic Computer Science Problems in Swift (Manning, 2018), and Classic Computer Science Problems in Java (Manning, 2020) Table of Contents 1. Small problems 2. Search problems 3. Constraint-satisfaction problems 4. Graph problems 5. Genetic algorithms 6. K-means clustering 7. Fairly simple neural networks 8. Adversarial search 9. Miscellaneous problems


Computer Science

Computer Science
Author: Robert Sedgewick
Publisher: Addison-Wesley Professional
Total Pages: 2171
Release: 2016-06-17
Genre: Computers
ISBN: 0134076451

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Named a Notable Book in the 21st Annual Best of Computing list by the ACM! Robert Sedgewick and Kevin Wayne’s Computer Science: An Interdisciplinary Approach is the ideal modern introduction to computer science with Java programming for both students and professionals. Taking a broad, applications-based approach, Sedgewick and Wayne teach through important examples from science, mathematics, engineering, finance, and commercial computing. The book demystifies computation, explains its intellectual underpinnings, and covers the essential elements of programming and computational problem solving in today’s environments. The authors begin by introducing basic programming elements such as variables, conditionals, loops, arrays, and I/O. Next, they turn to functions, introducing key modular programming concepts, including components and reuse. They present a modern introduction to object-oriented programming, covering current programming paradigms and approaches to data abstraction. Building on this foundation, Sedgewick and Wayne widen their focus to the broader discipline of computer science. They introduce classical sorting and searching algorithms, fundamental data structures and their application, and scientific techniques for assessing an implementation’s performance. Using abstract models, readers learn to answer basic questions about computation, gaining insight for practical application. Finally, the authors show how machine architecture links the theory of computing to real computers, and to the field’s history and evolution. For each concept, the authors present all the information readers need to build confidence, together with examples that solve intriguing problems. Each chapter contains question-and-answer sections, self-study drills, and challenging problems that demand creative solutions. Companion web site (introcs.cs.princeton.edu/java) contains Extensive supplementary information, including suggested approaches to programming assignments, checklists, and FAQs Graphics and sound libraries Links to program code and test data Solutions to selected exercises Chapter summaries Detailed instructions for installing a Java programming environment Detailed problem sets and projects Companion 20-part series of video lectures is available at informit.com/title/9780134493831


Computer Science Distilled

Computer Science Distilled
Author: Wladston Ferreira Filho
Publisher: Code Energy
Total Pages: 188
Release: 2017-01-17
Genre: Computers
ISBN: 0997316012

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A walkthrough of computer science concepts you must know. Designed for readers who don't care for academic formalities, it's a fast and easy computer science guide. It teaches the foundations you need to program computers effectively. After a simple introduction to discrete math, it presents common algorithms and data structures. It also outlines the principles that make computers and programming languages work.


Writing for Computer Science

Writing for Computer Science
Author: Justin Zobel
Publisher: Taylor & Francis
Total Pages: 292
Release: 2004-06-03
Genre: Computers
ISBN: 9781852338022

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A complete update to a classic, respected resource Invaluable reference, supplying a comprehensive overview on how to undertake and present research


Ideas That Created the Future

Ideas That Created the Future
Author: Harry R. Lewis
Publisher: MIT Press
Total Pages: 518
Release: 2021-02-02
Genre: Computers
ISBN: 026236221X

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Classic papers by thinkers ranging from from Aristotle and Leibniz to Norbert Wiener and Gordon Moore that chart the evolution of computer science. Ideas That Created the Future collects forty-six classic papers in computer science that map the evolution of the field. It covers all aspects of computer science: theory and practice, architectures and algorithms, and logic and software systems, with an emphasis on the period of 1936-1980 but also including important early work. Offering papers by thinkers ranging from Aristotle and Leibniz to Alan Turing and Nobert Wiener, the book documents the discoveries and inventions that created today's digital world. Each paper is accompanied by a brief essay by Harry Lewis, the volume's editor, offering historical and intellectual context.


Kicking Butt in Computer Science

Kicking Butt in Computer Science
Author: Carol Frieze
Publisher: Dog Ear Publishing
Total Pages: 142
Release: 2015-11-30
Genre: Business & Economics
ISBN: 1457539276

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Are women really kicking butt in computer science? National statistics show little progress in the participation of women in computing; this in spite of numerous studies, reports and recommendations on the topic. Some might say the reasons for the situation remain a mystery. However, at Carnegie Mellon University we do not believe that the situation is either so mysterious or such an intractable problem. Indeed, women are kicking butt in computer science in some cultures and environments. This book tells the Carnegie Mellon story, a positive story of how one school developed a culture and environment in which both women and men could thrive and be successful in computer science.


Introductory Computer Science

Introductory Computer Science
Author: A. K. Dewdney
Publisher: W H Freeman & Company
Total Pages: 368
Release: 1996
Genre: Computers
ISBN: 9780716782865

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This introductory text provides both a foundation in a popular programming language (Turbo PASCAL) and an introduction to the principles and applications of the field. It stresses applications that demonstrate computers' many roles in our lives


A Programmer's Guide to Computer Science

A Programmer's Guide to Computer Science
Author: William M Springer II
Publisher:
Total Pages: 188
Release: 2020-01-03
Genre: Computers
ISBN: 9781951204037

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You know how to code..but is it enough? Do you feel left out when other programmers talk about asymptotic bounds? Have you failed a job interview because you don't know computer science? The author, a senior developer at a major software company with a PhD in computer science, takes you through what you would have learned while earning a four-year computer science degree. Volume one covers the most frequently referenced topics, including algorithms and data structures, graphs, problem-solving techniques, and complexity theory. When you finish this book, you'll have the tools you need to hold your own with people who have - or expect you to have - a computer science degree.


TEXTBOOK OF COMPUTER SCIENCE FOR CLASS XI

TEXTBOOK OF COMPUTER SCIENCE FOR CLASS XI
Author: SEEMA BHATNAGAR
Publisher: PHI Learning Pvt. Ltd.
Total Pages: 608
Release: 2008-08-19
Genre: Computers
ISBN: 9788120329935

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This textbook, presented in a clear and friendly writing style, provides students of Class XI with a thorough introduction to the discipline of computer science. It offers accurate and balanced coverage of all the computer science topics as prescribed in the CBSE syllabus Code 083. Assuming no previous knowledge of computer science, this book discusses key computing concepts to provide invaluable insight into how computers work. It prepares students for the world of computing by giving them a solid foundation in programming concepts, operating systems, problem solving methodology, C++ programming language, data representation, and computer hardware. KEY FEATURES • Explains theory in user friendly and easy-to-approach style • Teaches C++ from scratch; knowledge of C is not needed • Provides Programming Examples • Gives Practical Exercise • Provides Answers to Short Questions • Gives Practice Questions at the end of each chapter • Suitable for Self-Study


Improving Computer Science Education

Improving Computer Science Education
Author: Djordje M. Kadijevich
Publisher: Routledge
Total Pages: 161
Release: 2013
Genre: Computers
ISBN: 0415645379

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This title examines suitable theoretical frameworks for conceptualizing teaching and learning computer science. The book provides numerous examples of practical, 'real world' applications of major computer science information topics, such as spreadsheets, databases, and programming.