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Author: Robert Steven Ledley
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Robert Steven Ledley
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Philip M. Sherman
Publisher: New York : Wiley
ISBN:
Category : Computer programming
Languages : en
Pages : 472
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Book on programming for digital computers, and computer methodology.
Author: Robert Steven Ledley
Publisher:
ISBN:
Category : Computer programming
Languages : en
Pages : 602
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Author: John Frederick Davison
Publisher:
ISBN:
Category :
Languages : en
Pages : 214
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Author: Maurice Vincent Wilkes
Publisher:
ISBN:
Category : Calculators
Languages : en
Pages : 192
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Book Description
This is often considered the first book on computer programming. It was written for the EDSAC (Electronic Delay Storage Automatic Calculator) computer that began operation in 1949 as the world's first regularly operated stored program computer. The idea of a library of subroutines was developed for the EDSAC, and is described in this book. Maurice Wilkes lead the development of the EDSAC.
Author: Marshal H. Wrubel
Publisher:
ISBN:
Category : Computer programming
Languages : en
Pages : 260
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Book Description
This book was written for scientists, engineers, and their students who are planning to use electronic computers as tools of research. Its purpose is to answer the questions: what sort of problems can electronic computers solve and how does one go about using them? Throughout the book we shall regard the electronic calculator as a means to an end, rather than as an end in itself.
Author: John Frederick Davison
Publisher:
ISBN:
Category :
Languages : en
Pages : 175
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Book Description
Author: John V. Guttag
Publisher: MIT Press
ISBN: 0262529629
Category : Computers
Languages : en
Pages : 466
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Book Description
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:
Publisher:
ISBN:
Category : Electronic data processing
Languages : en
Pages : 318
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