Introduction to Computation and Programming Using Python, Third Edition: With Application to Computational Modeling and Understanding Data
| AUTHOR | Guttag, John V.; Guttag, John V. |
| PUBLISHER | MIT Press (01/05/2021) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
The new edition of an introduction to the art of computational problem solving using Python. 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 numpy, matplotlib, random, pandas, and sklearn. 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 as well as substantial material on machine learning. All of the code in the book and an errata sheet are available on the book's web page on the MIT Press website.
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Product Format
Product Details
ISBN-13:
9780262542364
ISBN-10:
0262542366
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
More Product Details
Page Count:
496
Carton Quantity:
12
Product Dimensions:
7.00 x 1.20 x 8.90 inches
Weight:
2.20 pound(s)
Feature Codes:
Bibliography,
Index,
Price on Product,
Illustrated
Country of Origin:
US
Subject Information
BISAC Categories
Computers | Languages - Python
Computers | Computer Science
Dewey Decimal:
005.133
Library of Congress Control Number:
2020036760
Descriptions, Reviews, Etc.
publisher marketing
The new edition of an introduction to the art of computational problem solving using Python. 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 numpy, matplotlib, random, pandas, and sklearn. 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 as well as substantial material on machine learning. All of the code in the book and an errata sheet are available on the book's web page on the MIT Press website.
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Your Price
$74.25