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Introduction to Computation and Programming Using Python - With Application to Understanding Data (Paperback, second edition)
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Introduction to Computation and Programming Using Python - With Application to Understanding Data (Paperback, second edition)
Series: The MIT Press
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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.
General
Imprint: |
MIT Press
|
Country of origin: |
United States |
Series: |
The MIT Press |
Release date: |
August 2016 |
First published: |
2016 |
Authors: |
John V Guttag
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Dimensions: |
229 x 179 x 22mm (L x W x T) |
Format: |
Paperback - Trade
|
Pages: |
447 |
Edition: |
second edition |
ISBN-13: |
978-0-262-52962-4 |
Categories: |
Books >
Computing & IT >
Computer programming >
Programming languages >
General
|
LSN: |
0-262-52962-9 |
Barcode: |
9780262529624 |
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