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Book Cover
E-book
Author Guttag, John V., 1949- author.

Title Python gengo ni yoru puroguramingu intorodakushon : dai 2-han : dēta saiensu to apurikēshon / John V. Guttag cho ; Kubo Mikio kan'yaku ; Asō Toshimasa [and eight others] yaku = Introduction to computation and programming using Python : with application to understanding data / by John V. Guttag
Python言語によるプログラミングイントロダクション : 第 2版 : データサイエンスとアプリケーション / John V. Guttag著 ; 久保幹雄監訳 ; 麻生敏正 [and eight others] 訳 = Introduction to computation and programming using Python : with application to understanding data / by John V. Guttag
Edition Shohan
初版
Published Tōkyō-to Shinjuku-ku : Kindai Kagakusha, 2017
東京都新宿区 : 近代科学社, 2017

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Description 1 online resource (xii, 400 pages)
Series Sekai hyōjun MIT kyōkasho
世界標準MIT教科書
Sekai hyōjun MIT kyōkasho
世界標準MIT教科書
Summary "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."-- Provided by Publisher
Notes Includes index
Online resource; title from PDF title page (EBSCO, viewed November 2, 2017)
Subject Python (Computer program language)
Computer programming.
computer programming.
COMPUTERS -- Programming Languages -- Python.
Computer programming
Python (Computer program language)
Puroguramingu(konpyuta)
Form Electronic book
Author Kubo, Mikio, 1963- translator, editor.
久保幹雄, 1963- translator, editor
Asō, Toshimasa, translator
麻生敏正, translator
ISBN 9784764971271
4764971275
Other Titles Introduction to computation and programming using Python. Japanese
Introduction to computation and programming using Python : with application to understanding data