{
"item_title" : "Introduction to Computation and Programming Using Python, Third Edition",
"item_author" : [" John V. Guttag "],
"item_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.",
"item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/26/254/236/0262542366_b.jpg",
"price_data" : {
"retail_price" : "75.00", "online_price" : "75.00", "our_price" : "75.00", "club_price" : "75.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Introduction to Computation and Programming Using Python, Third Edition : With Application to Computational Modeling and Understanding Data
local_shippingShip to Me

On Order. Usually ships in 2-4 weeks
Overview
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.
This item is Non-Returnable
Details
- ISBN-13: 9780262542364
- ISBN-10: 0262542366
- Publisher: MIT Press
- Publish Date: January 2021
- Dimensions: 8.9 x 7 x 1.2 inches
- Shipping Weight: 2.2 pounds
- Page Count: 496
Related Categories
