Programming Robots with Ros, Quigley Morgan, Gerkey Brian, Smart William D.
Автор: Langtangen Hans Petter Название: A Primer on Scientific Programming with Python ISBN: 3662498863 ISBN-13(EAN): 9783662498866 Издательство: Springer Рейтинг: Цена: 32600.00 T Наличие на складе: Есть Описание: The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches 'Matlab-style' and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science.From the reviews: Langtangen … does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. … Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science.Alex Small, IEEE, CiSE Vol. 14 (2), March?/April 2012 “This fourth edition is awonderful, inclusive textbook that covers pretty much everything one needs toknow to go from zero to fairly sophisticated scientific programming in Python…”Joan Horvath, Computing Reviews, March2015
Автор: Varela Carlos A Название: Programming Distributed Computing Systems ISBN: 0262018985 ISBN-13(EAN): 9780262018982 Издательство: MIT Press Рейтинг: Цена: 38500.00 T Наличие на складе: Нет в наличии. Описание: An introduction to fundamental theories of concurrent computation and associated programming languages for developing distributed and mobile computing systems.
Автор: Fernandez, Enrique Martinez, Aaron Crespo, Luis Sanchez Mahtani, Anil Название: Learning ros for robotics programming - ISBN: 1783987588 ISBN-13(EAN): 9781783987580 Издательство: Неизвестно Рейтинг: Цена: 67430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This second edition provides focused and practical knowledge to help you to build algorithms and crunch your data. You`ll learn how to apply machine learning methods to deal with common tasks, discover the analytical tools that you need to gain insights from complex data, and choose the correct algorithm for your specific needs.
Автор: Barrow, John; Miller, Linda; Malan, Katherine; Gel Название: Introducing Delphi Programming: ISBN: 0195789113 ISBN-13(EAN): 9780195789119 Издательство: Oxford Academ Рейтинг: Цена: 62290.00 T Наличие на складе: Поставка под заказ. Описание: This book teaches distance-learning students how to programme in Delphi a major computer language used to design a variety of programmes.
Автор: Blandy Jim Название: Programming Rust ISBN: 1491927283 ISBN-13(EAN): 9781491927281 Издательство: Wiley Рейтинг: Цена: 50680.00 T Наличие на складе: Поставка под заказ. Описание: Written by two experienced systems programmers, this book explains how Rust manages to bridge the gap between performance and safety, and how you can take advantage of it.
Автор: Ierusalimschy, Roberto (Author) Название: Programming in Lua, Fourth Edition ISBN: 8590379868 ISBN-13(EAN): 9788590379867 Издательство: Неизвестно Рейтинг: Цена: 41330.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Dave Thomas Название: Programming Elixir 1.3: Functional |> Concurrent |> Pragmatic |> Fun ISBN: 168050200X ISBN-13(EAN): 9781680502008 Издательство: Wiley Рейтинг: Цена: 32210.00 T Наличие на складе: Поставка под заказ. Описание: Elixir`s pragmatic syntax and built-in support for metaprogramming will make you productive and keep you interested for the long haul. Maybe the time is right for the Next Big Thing. Maybe it`s Elixir. This book is the introduction to Elixir for experienced programmers, completely updated for Elixir 1.3.
Автор: Alex J. DeCaria Название: Python Programming and Visualization for Scientists ISBN: 0972903380 ISBN-13(EAN): 9780972903387 Издательство: Неизвестно Рейтинг: Цена: 53790.00 T Наличие на складе: Невозможна поставка.
Автор: Scott, K. Название: The SQL Programming Language ISBN: 0763766747 ISBN-13(EAN): 9780763766740 Издательство: Jones & Bartlett Рейтинг: Цена: 53490.00 T Наличие на складе: Поставка под заказ. Описание: The SQL Programming Language prepares you for future SQL programming courses offered within CS and CIS. With a clear, concise, and descriptive writing style, you will see real-world examples and cases of SQL functionality in database management.
Автор: Murach Joel, Delamater Mary Название: Murach`s C++ Programming ISBN: 1943872279 ISBN-13(EAN): 9781943872275 Издательство: Gazelle Book Services Рейтинг: Цена: 80510.00 T Наличие на складе: Поставка под заказ. Описание: In the beginning, C++ was a hard language to learn because it required programmers to master low-level techniques to work with memory. Over the years, C++ has evolved to provide higher-level techniques that make it much easier to write effective code. But most C++ books havent evolved with the language. Until now. Now, this book uses modern C++ to get you off to a fast start, and then builds out your coding and OOP skills to the professional level. At that point, it also covers older techniques so youll be able to maintain the vast amount of legacy code thats out there, as well as work with embedded systems that dont support the newer techniques.
Автор: Wellin Название: Programming with Mathematica ® ISBN: 1107009464 ISBN-13(EAN): 9781107009462 Издательство: Cambridge Academ Рейтинг: Цена: 79200.00 T Наличие на складе: Поставка под заказ. Описание: Starting from first principles, this book covers all of the foundational material needed to develop a clear understanding of the Mathematica language, with a practical emphasis on solving problems. Concrete examples throughout the text demonstrate how Mathematica can be used to solve problems in science, engineering, economics/finance, computational linguistics, geoscience, bioinformatics, and a range of other fields. The book will appeal to students, researchers and programmers wishing to further their understanding of Mathematica. Designed to suit users of any ability, it assumes no formal knowledge of programming so it is ideal for self-study. Over 290 exercises are provided to challenge the reader's understanding of the material covered and these provide ample opportunity to practice using the language. Mathematica notebooks containing examples, programs and solutions to exercises are available from www.cambridge.org/wellin.
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.
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