Practical Computing
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Practical Computing For Biologists
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Author : Steven H.D. Haddock
language : en
Publisher: Sinauer
Release Date : 2011-04-22
Practical Computing For Biologists written by Steven H.D. Haddock and has been published by Sinauer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-22 with Medical categories.
Practical Computing for Biologists shows you how to use many freely available computing tools to work more powerfully and effectively. The book was born out of the authors' own experience in developing tools for their research and helping other biologists with their computational problems. Many of the techniques are relevant to molecular bioinformatics but the scope of the book is much broader, covering topics and techniques that are applicable to a range of scientific endeavours. Twenty-two chapters organized into six parts address the following topics (and more; see Contents): • Searching with regular expressions • The Unix command line • Python programming and debugging • Creating and editing graphics • Databases • Performing analyses on remote servers • Working with electronics While the main narrative focuses on Mac OS X, most of the concepts and examples apply to any operating system. Where there are differences for Windows and Linux users, parallel instructions are provided in the margin and in an appendix. The book is designed to be used as a self-guided resource for researchers, a companion book in a course, or as a primary textbook. Practical Computing for Biologists will free you from the most frustrating and time-consuming aspects of data processing so you can focus on the pleasures of scientific inquiry.
A Practical Approach To High Performance Computing
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Author : Sergei Kurgalin
language : en
Publisher: Springer Nature
Release Date : 2019-11-10
A Practical Approach To High Performance Computing written by Sergei Kurgalin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-10 with Computers categories.
The book discusses the fundamentals of high-performance computing. The authors combine visualization, comprehensibility, and strictness in their material presentation, and thus influence the reader towards practical application and learning how to solve real computing problems. They address both key approaches to programming modern computing systems: multithreading-based parallelizing in shared memory systems, and applying message-passing technologies in distributed systems. The book is suitable for undergraduate and graduate students, and for researchers and practitioners engaged with high-performance computing systems. Each chapter begins with a theoretical part, where the relevant terminology is introduced along with the basic theoretical results and methods of parallel programming, and concludes with a list of test questions and problems of varying difficulty. The authors include many solutions and hints, and often sample code.
Illustrating Basic
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Author : Donald Alcock
language : en
Publisher: Cambridge University Press
Release Date : 1977
Illustrating Basic written by Donald Alcock and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Computers categories.
Presents a popular computer language called BASIC and explains how to write simple programs in it.
Practical Computing
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Author :
language : en
Publisher:
Release Date : 1986
Practical Computing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Computers categories.
Teaching Computing In Secondary Schools
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Author : William Lau
language : en
Publisher: Routledge
Release Date : 2017-09-22
Teaching Computing In Secondary Schools written by William Lau and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-22 with Education categories.
This book provides a step-by-step guide to teaching computing at secondary level. It offers an entire framework for planning and delivering the curriculum and shows you how to create a supportive environment for students in which all can enjoy computing. The focus throughout is on giving students the opportunity to think, program, build and create with confidence and imagination, transforming them from users to creators of technology. In each chapter, detailed research and teaching theory is combined with resources to aid the practitioner, including case studies, planning templates and schemes of work that can be easily adapted. The book is split into three key parts: planning, delivery, and leadership and management, and covers topics such as: curriculum and assessment design lesson planning cognitive science behind learning computing pedagogy and instructional principles mastery learning in computing how to develop students’ computational thinking supporting students with special educational needs and disabilities encouraging more girls to study computing actions, habits and routines of effective computing teachers behaviour management and developing a strong classroom culture how to support and lead members of your team. Teaching Computing in Secondary Schools is essential reading for trainee and practising teachers, and will prove to be an invaluable resource in helping teaching professionals ensure that students acquire a wide range of computing skills which will support them in whatever career they choose.
What Can Be Computed
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Author : John MacCormick
language : en
Publisher: Princeton University Press
Release Date : 2018-05-01
What Can Be Computed written by John MacCormick and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-01 with Computers categories.
An accessible and rigorous textbook for introducing undergraduates to computer science theory What Can Be Computed? is a uniquely accessible yet rigorous introduction to the most profound ideas at the heart of computer science. Crafted specifically for undergraduates who are studying the subject for the first time, and requiring minimal prerequisites, the book focuses on the essential fundamentals of computer science theory and features a practical approach that uses real computer programs (Python and Java) and encourages active experimentation. It is also ideal for self-study and reference. The book covers the standard topics in the theory of computation, including Turing machines and finite automata, universal computation, nondeterminism, Turing and Karp reductions, undecidability, time-complexity classes such as P and NP, and NP-completeness, including the Cook-Levin Theorem. But the book also provides a broader view of computer science and its historical development, with discussions of Turing's original 1936 computing machines, the connections between undecidability and Gödel's incompleteness theorem, and Karp's famous set of twenty-one NP-complete problems. Throughout, the book recasts traditional computer science concepts by considering how computer programs are used to solve real problems. Standard theorems are stated and proven with full mathematical rigor, but motivation and understanding are enhanced by considering concrete implementations. The book's examples and other content allow readers to view demonstrations of—and to experiment with—a wide selection of the topics it covers. The result is an ideal text for an introduction to the theory of computation. An accessible and rigorous introduction to the essential fundamentals of computer science theory, written specifically for undergraduates taking introduction to the theory of computation Features a practical, interactive approach using real computer programs (Python in the text, with forthcoming Java alternatives online) to enhance motivation and understanding Gives equal emphasis to computability and complexity Includes special topics that demonstrate the profound nature of key ideas in the theory of computation Lecture slides and Python programs are available at whatcanbecomputed.com
Practical Quantum Computing For Developers
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Author : Vladimir Silva
language : en
Publisher: Apress
Release Date : 2018-12-12
Practical Quantum Computing For Developers written by Vladimir Silva and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-12 with Computers categories.
Write algorithms and program in the new field of quantum computing. This book covers major topics such as the physical components of a quantum computer: qubits, entanglement, logic gates, circuits, and how they differ from a traditional computer. Also, Practical Quantum Computing for Developers discusses quantum computing in the cloud using IBM Q Experience including: the composer, quantum scores, experiments, circuits, simulators, real quantum devices, and more. You’ll be able to run experiments in the cloud on a real quantum device. Furthermore, this book shows you how to do quantum programming using the QISKit (Quantum Information Software Kit), Python SDK, and other APIs such as QASM (Quantum Assembly). You’ll learn to write code using these languages and execute it against simulators (local or remote) or a real quantum computer provided by IBM’s Q Experience. Finally, you’ll learn the current quantum algorithms for entanglement,random number generation, linear search, integer factorization, and others. You’ll peak inside the inner workings of the Bell states for entanglement, Grover’s algorithm for linear search, Shor’s algorithm for integer factorization, and other algorithms in the fields of optimization, and more. Along the way you’ll also cover game theory with the Magic Square, an example of quantum pseudo-telepathy where parties sharing entangled states can be observed to have some kind of communication between them. In this game Alice and Bob play against a referee. Quantum mechanics allows Alice and Bob to always win! By the end of this book, you will understand how this emerging technology provides massive parallelism and significant computational speedups over classical computers, and will be prepared to program quantum computers which are expected to replace traditional computers in the data center. What You Will Learn Use the Q Experience Composer, the first-of-its-kind web console to create visual programs/experiments and submit them to a quantum simulator or real device on the cloud Run programs remotely using the Q Experience REST API Write algorithms that provide superior performance over their classical counterparts Build a Node.js REST client for authenticating, listing remote devices, querying information about quantum processors, and listing or running experiments remotely in the cloud Create a quantum number generator: The quintessential coin flip with a quantum twist Discover quantum teleportation: This algorithm demonstrates how the exact state of a qubit (quantum information) can be transmitted from one location to another, with the help of classical communication and quantum entanglement between the sender and receiver Peek into single qubit operations with the classic game of Battleships with a quantum twist Handle the counterfeit coin problem: a classic puzzle that consists of finding a counterfeit coin in a beam balance among eight coins in only two turns Who This Book Is For Developers and programmers interested in this new field of computing.
A Practical Introduction To Computer Architecture
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Author : Daniel Page
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-04-21
A Practical Introduction To Computer Architecture written by Daniel Page and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-21 with Computers categories.
It is a great pleasure to write a preface to this book. In my view, the content is unique in that it blends traditional teaching approaches with the use of mathematics and a mainstream Hardware Design Language (HDL) as formalisms to describe key concepts. The book keeps the “machine” separate from the “application” by strictly following a bottom-up approach: it starts with transistors and logic gates and only introduces assembly language programs once their execution by a processor is clearly de ned. Using a HDL, Verilog in this case, rather than static circuit diagrams is a big deviation from traditional books on computer architecture. Static circuit diagrams cannot be explored in a hands-on way like the corresponding Verilog model can. In order to understand why I consider this shift so important, one must consider how computer architecture, a subject that has been studied for more than 50 years, has evolved. In the pioneering days computers were constructed by hand. An entire computer could (just about) be described by drawing a circuit diagram. Initially, such d- grams consisted mostly of analogue components before later moving toward d- ital logic gates. The advent of digital electronics led to more complex cells, such as half-adders, ip- ops, and decoders being recognised as useful building blocks.
Practical Computer Vision With Simplecv
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Author : Kurt Demaagd
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2012
Practical Computer Vision With Simplecv written by Kurt Demaagd and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.
Learn how to build your own computer vision (CV) applications quickly and easily with SimpleCV, an open source framework written in Python. Through examples of real-world applications, this hands-on guide introduces you to basic CV techniques for collecting, processing, and analyzing streaming digital images. You'll then learn how to apply these methods with SimpleCV, using sample Python code. All you need to get started is a Windows, Mac, or Linux system, and a willingness to put CV to work in a variety of ways. Programming experience is optional. Capture images from several sources, including webcams, smartphones, and Kinect Filter image input so your application processes only necessary information Manipulate images by performing basic arithmetic on pixel values Use feature detection techniques to focus on interesting parts of an image Work with several features in a single image, using the NumPy and SciPy Python libraries Learn about optical flow to identify objects that change between two image frames Use SimpleCV's command line and code editor to run examples and test techniques
Practical Applications Of Soft Computing In Engineering
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Author : Sung-Bae Cho
language : en
Publisher: World Scientific
Release Date : 2001
Practical Applications Of Soft Computing In Engineering written by Sung-Bae Cho and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.
Ch. 1. Automatic detection of microcalcifications in mammograms using a fuzzy classifier / A. P. Drijarkara, G. Naghdy, F. Naghdy -- ch. 2. Software deployability control system: application of Choquet integral and rough sets / James F. Peters III, Sheela Ramanna -- ch. 3. Predictive fuzzy model for control of an artificial muscle / Petar B. Petrovic -- ch. 4. Fuzzy supervisory control with fuzzy-PID controller and its application to petroleum plants / Tetsuji Tani, Hiroaki Kobayashi, Takeshi Furuhashi -- ch. 5. Genetic algorithm-based predictive control for nonlinear processes / Seung C. Shin, Zeungnam Bien -- ch. 6. Indirect neuro-control for multivariable nonlinear systems with application to 2-bar load systems / Jun Oh Jang, Hee Tae Chung -- ch. 7. Evolutionary computation for information retrieval based on user preference / Hak-Gyoon Kim, Sung-Bae Cho -- ch. 8. On-line tool condition monitoring based on a neurofuzzy intelligent signal feature classification procedure / Pan Fu, A. D. Hope, G. A. King -- ch. 9. Feature extraction by self-organized fuzzy templates with applications / Eiji Uchino, Shigeru Nakashima, Takeshi Yamakawa -- ch. 10. Inference of self-excited vibration in high-speed end-milling based on fuzzy neural networks / Chuanxin Su, Junichi Hino, Toshio Yoshimura -- ch. 11. Fuzzy logic and neural networks approach -- a way to improve overall performance of integrated heating systems / Evgueniy Entchev -- ch. 12. Application of fuzzy pattern matching and genetic algorithms to rotating machinery diagnosis / Jesus M. Fernandez Salido, Shuta Murakami -- ch. 13. Design and tuning a neurofuzzy power system stabilizer using genetic algorithms / Ali Afzalian, Derek A. Linkens -- ch. 14. Techniques of soft computing for emergency management in a mineral oils deposit / Alessandro De Carli, Sonia Pisani -- ch. 15. An application of logic programs with soft computing aspects to fault diagnosis in digital circuits / Hiroshi Sakai, Atsushi Imamoto, Akimichi Okuma -- ch. 16. Determination of the motion parameters from the perspective projection of a triangle / Myint Myint Sein, Hiromitsu Hama.