Introduction to Computation and Programming Using Python second edition

This book PDF is perfect for those who love Computers genre, written by John V. Guttag and published by MIT Press which was released on 12 August 2016 with total hardcover pages 466. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Introduction to Computation and Programming Using Python second edition books below.

Introduction to Computation and Programming Using Python  second edition
Author : John V. Guttag
File Size : 55,6 Mb
Publisher : MIT Press
Language : English
Release Date : 12 August 2016
ISBN : 9780262529624
Pages : 466 pages
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Introduction to Computation and Programming Using Python second edition by John V. Guttag Book PDF Summary

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.

Introduction to Computation and Programming Using Python  second edition

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

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Introduction to Computation and Programming Using Python

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