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Scientific Computation: Python Hacking for Math Junkies by Shapiro, Bruce E

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Características del artículo

Estado
En buen estado: Libro que se ha leído pero que está en buen estado. Daños mínimos en la tapa, ...
Book Title
Scientific Computation: Python Hacking for Math Junkies
ISBN
9780692366936

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Product Identifiers

Publisher
Sherwood Forest Books
ISBN-10
0692366938
ISBN-13
9780692366936
eBay Product ID (ePID)
208648817

Product Key Features

Number of Pages
554 Pages
Language
English
Publication Name
Scientific Computation : Python Hacking for Math Junkies
Publication Year
2015
Subject
Programming Languages / Python
Type
Textbook
Author
Bruce Shapiro
Subject Area
Computers
Format
Trade Paperback

Dimensions

Item Height
1.2 in
Item Weight
41.5 Oz
Item Length
10 in
Item Width
7 in

Additional Product Features

Intended Audience
Trade
Synopsis
There is a newer edition (ISBN 978-1725894662) of this book that actually covers Python 3.6. This is a book about hacking, but not just any kind of hacking. It is about mathematical hacking , or scientific computing . If you like math and want to use computers to do math or solve mathematical problems, then this book is the for you. This is version 3, which includes over 80 additional pages, with extensive additionson Python classes, iPython with jupyter notebooks, magic functions, random numbers, and probability and statistics. The emphasis throughout the text is on programming in the iPython notebook. Version 3.0.3 (2017) is revised and corrected. Part I gives an introduction to programming, the Python shell, and usingiPython notebooks. Part II gives a thorough tour of the Python language. Topics include data types, simple statements, assignments, conditionals, loops, list comprehension,sorting, Numpy, pyplot, using dictionaries, functions, classes, functional programs, lambda functions, and recursion. Part III gives applications, including probability and statistics, andtopics from machine learning such as clustering, linear regression,logistic regression and principal component analysis. Other topics includeimage analysis, the singular value decomposition, solving initial value problems, discrete systems, fractals, estimating pi, geographicmaps, and satellite orbit analysis. Over 300 problems are included that can be used for student programming projects. No programming background required. Some basic understanding of math throughcalculus expected for the applications., There is a newer edition (ISBN 978-1725894662) of this book that actually covers Python 3.6. This is a book about hacking, but not just any kind of hacking. It is about mathematical hacking , or scientific computing . If you like math and want to use computers to do math or solve mathematical problems, then this book is the for you. This is version 3, which includes over 80 additional pages, with extensive additions on Python classes, iPython with jupyter notebooks, magic functions, random numbers, and probability and statistics. The emphasis throughout the text is on programming in the iPython notebook. Version 3.0.3 (2017) is revised and corrected. Part I gives an introduction to programming, the Python shell, and using iPython notebooks. Part II gives a thorough tour of the Python language. Topics include data types, simple statements, assignments, conditionals, loops, list comprehension, sorting, Numpy, pyplot, using dictionaries, functions, classes, functional programs, lambda functions, and recursion. Part III gives applications, including probability and statistics, and topics from machine learning such as clustering, linear regression, logistic regression and principal component analysis. Other topics include image analysis, the singular value decomposition, solving initial value problems, discrete systems, fractals, estimating pi, geographic maps, and satellite orbit analysis. Over 300 problems are included that can be used for student programming projects. No programming background required. Some basic understanding of math through calculus expected for the applications.

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