Автор: Lutz Mark Название: Learning Python, 5 ed. ISBN: 1449355730 ISBN-13(EAN): 9781449355739 Издательство: Wiley Рейтинг: Цена: 63350.00 T Наличие на складе: Поставка под заказ. Описание: Based on author Mark Lutz`s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It`s an ideal way to begin, whether you`re new to programming or a professional developer versed in other languages.
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: Rozenberg Grzegorz Название: Handbook Of Graph Grammars And Computing By Graph Transformation, Vol 1: Foundations ISBN: 9810228848 ISBN-13(EAN): 9789810228842 Издательство: World Scientific Publishing Рейтинг: Цена: 190080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This first volume includes a state-of-the-art presentation of the foundations of all the basic approaches to rule-based graph specification and transformation: algebraic approach, logic approach, node-based rewriting, (hyper)edge-based rewriting, programmed graph rewriting, and 2-structures.
Автор: Ramalho Luciano Название: Fluent Python ISBN: 1491946008 ISBN-13(EAN): 9781491946008 Издательство: Wiley Рейтинг: Цена: 50680.00 T Наличие на складе: Поставка под заказ. Описание: By taking you through Python`s key language features and libraries, this practical book shows you how to make your code shorter, faster, and more readable all at the same time - what experts consider Pythonic.
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.
Автор: Hothorn Название: A Handbook of Statistical Analyses using R, Third Edition ISBN: 1482204584 ISBN-13(EAN): 9781482204582 Издательство: Taylor&Francis Рейтинг: Цена: 69410.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive partitioning to cluster analysis.
New to the Third Edition
Three new chapters on quantile regression, missing values, and Bayesian inference
Extra material in the logistic regression chapter that describes a regression model for ordered categorical response variables
Additional exercises
More detailed explanations of R code
New section in each chapter summarizing the results of the analyses
Updated version of the HSAUR package (HSAUR3), which includes some slides that can be used in introductory statistics courses
Whether you're a data analyst, scientist, or student, this handbook shows you how to easily use R to effectively evaluate your data. With numerous real-world examples, it emphasizes the practical application and interpretation of results.
Автор: Hilpisch Yves Название: Python for Finance: Analyze Big Financial Data ISBN: 1491945281 ISBN-13(EAN): 9781491945285 Издательство: Wiley Рейтинг: Цена: 38010.00 T Наличие на складе: Поставка под заказ. Описание: This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance.
Автор: TJ O`Connor Название: Violent Python, ISBN: 1597499579 ISBN-13(EAN): 9781597499576 Издательство: Elsevier Science Рейтинг: Цена: 44910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Demonstrates how to write Python scripts to automate large-scale network attacks, extract metadata, and investigate forensic artifacts. This book shows how to write code to intercept and analyze network traffic using Python, craft and spoof wireless frames to attack wireless and Bluetooth devices.
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