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Python and Matplotlib Essentials for Scientists and Engineers, Matt A. Wood


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Цена: 6237.00р.
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Автор: Matt A. Wood
Название:  Python and Matplotlib Essentials for Scientists and Engineers
ISBN: 9781681749105
Издательство: Mare Nostrum (Eurospan)
Классификация:




ISBN-10: 1681749106
Обложка/Формат: Hardback
Страницы: 150
Вес: 0.64 кг.
Дата издания: 30.06.2015
Серия: Computing & IT
Язык: English
Размер: 279 x 216 x 10
Ключевые слова: Information technology: general issues,Web programming,Data capture & analysis,Computer modelling & simulation, COMPUTERS / Computer Simulation,COMPUTERS / Data Processing,COMPUTERS / Programming Languages / Python
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Поставляется из: Англии
Описание: This book provides an introduction to the core features of the Python programming language and Matplotlib plotting routings for scientists and engineers (or students of either discipline) who want to use Python™ to analyse data, simulate physical processes, and render publication-quality plots. No previous programming experience is needed before reading the first page.Readers will learn the core features of the Python programming language in under a day. They will be able to immediately use Python to implement codes that solve their own problems and make beautiful plots and animations. Python code is extremely fast to prototype, allowing users to achieve results quickly and accurately. The examples within the book are available for download.Python and Matplotlib Essentials for Scientists and Engineers is accessible for motivated high-school students, but will likely be most useful for undergraduate and graduate students as well as working professionals who have some background with the basic mathematical concepts. This book is intended for technical people who want to get things done.


Introduction to High Performance Computing for Scientists and Engineers

Автор: Hager
Название: Introduction to High Performance Computing for Scientists and Engineers
ISBN: 143981192X ISBN-13(EAN): 9781439811924
Издательство: Taylor&Francis
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Цена: 12095.00 р.
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Описание: Written by HPC experts, this book provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. It facilitates an intuitive understanding of performance limitations without relying on heavy computer science knowledge.

C Programming: The Essentials for Engineers and Scientists

Автор: David R. Brooks
Название: C Programming: The Essentials for Engineers and Scientists
ISBN: 1461271614 ISBN-13(EAN): 9781461271611
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This text teaches the essentials of C programming, concentrating on what readers need to know in order to produce stand-alone programs and so solve typical scientific and engineering problems.

Introduction to Python for Engineers and Scientists

Автор: Sandeep Nagar
Название: Introduction to Python for Engineers and Scientists
ISBN: 1484232038 ISBN-13(EAN): 9781484232033
Издательство: Springer
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Цена: 3912.00 р.
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Описание:

Familiarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused on writing code to learn concepts. Introduction to Python is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation.

In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you'll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts.

What You'll Learn

  • Understand the fundamentals of the Python programming language
  • Apply Python to numerical computational programming projects in engineering and science
  • Discover the Pythonic way of life
  • Apply data types, operators, and arrays
  • Carry out plotting for visualization
  • Work with functions and loops

Who This Book Is For

Engineers, scientists, researchers, and students who are new to Python. Some prior programming experience would be helpful but not required.

Visual Basic and Visual Basic .NET for Scientists and Engineers

Автор: Christopher M. Frenz
Название: Visual Basic and Visual Basic .NET for Scientists and Engineers
ISBN: 1893115550 ISBN-13(EAN): 9781893115552
Издательство: Springer
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Цена: 3912.00 р.
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Описание: Here is a concise and practical guide to help researchers and engineers who are new to Visual Basic gain a firm grasp of the topics that are most relevant to their programming needs.

C++ and Object-Oriented Numeric Computing for Scientists and Engineers

Автор: Daoqi Yang
Название: C++ and Object-Oriented Numeric Computing for Scientists and Engineers
ISBN: 1461265665 ISBN-13(EAN): 9781461265665
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This book is an easy, concise but fairly complete introduction to ISO/ANSI C++ with special emphasis on object-oriented numeric computation. A user-defined numeric linear algebra library accompanies the book and can be downloaded from the web.

Data Science with Java: Practical Methods for Scientists and Engineers

Автор: Brzustowicz Michael R.
Название: Data Science with Java: Practical Methods for Scientists and Engineers
ISBN: 1491934115 ISBN-13(EAN): 9781491934111
Издательство: Wiley
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Цена: 7602.00 р.
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Описание:

A good data scientist knows how to do something really well, but a great data scientist can do "something of everything." From raw data all the way to shining in front of C-level executives, a great data scientist has the skills to architect data systems, build applications, perform modeling and machine learning and wrap up the results in a clear (and quickly iterable) manner. From data models to ETL to databases to distributed algorithms and learning, this book has you covered.

While many resources for Java (and data science) exist, none of them combine the two, and especially not at a level where sophisticated concepts are demonstrated clearly and in simplest terms. Data Science with Java marries the two in a practical way.

  • Learn an extremely practical set of tools for creating enterprise grade data science applications
  • Get past the intimidating barrier to machine learning and statistics--and learn how useful object-oriented code can be

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