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Introduction to Computation and Programming Using Python- Revised Edition [StormRG]

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 							Introduction to Computation and Programming Using Python, Revised
  Author:Guttag, John V.
  Publisher and Published Date:The MIT Press; revised and expanded edition edition (Aug. 9 2013)
 
ISBN-10:0262525003
  ISBN-13:9780262525008
  Format: Retail PDF
  Reader
Required: Adobe Acrobat
  
  
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  Product
Description
  
  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. 
  
  
  
  
 
Scientia est potentia
  
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