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Introduction to Computation and Programming Using Python (MIT Press) by Gutta…
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Ubicado en: Multiple Locations, Estados Unidos
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Entrega prevista entre el sáb. 26 jul. y el vie. 1 ago. a 94104
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N.º de artículo de eBay:283435716991
Última actualización el 21 jul 2025 07:54:54 H.EspVer todas las actualizacionesVer todas las actualizaciones
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- Estado
- En buen estado
- Notas del vendedor
- ISBN
- 9780262525008
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Product Identifiers
Publisher
MIT Press
ISBN-10
0262525003
ISBN-13
9780262525008
eBay Product ID (ePID)
160020357
Product Key Features
Number of Pages
296 Pages
Publication Name
Introduction to Computation and Programming Using Python
Language
English
Publication Year
2013
Subject
Programming / General, Programming Languages / Python
Features
Revised
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Height
0.6 in
Item Weight
26.8 Oz
Item Length
11 in
Item Width
8.5 in
Additional Product Features
Edition Number
2
Intended Audience
College Audience
LCCN
2013-010276
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
005.133
Edition Description
Revised edition
Synopsis
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 a massive open online course (or MOOC) offered by the pioneering MIT-Harvard collaboration edX. 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. The book does not require knowledge of mathematics beyond high school algebra, but does assume that readers are comfortable with rigorous thinking and not intimidated by mathematical concepts. 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. Introduction to Computation and Programming Using Python can serve as a stepping-stone to more advanced computer science courses, or as a basic grounding in computational problem solving for students in other disciplines.
LC Classification Number
QA76.73.P98G88 2013
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