Introduction to Computation and Programming Using Python, second edition: With Application to Understanding Data
$49.04
Description
Book Synopsis: 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 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.
Details
Are you looking to master the art of computational problem solving? Look no further than the second edition of Computation and Programming Using Python. This introductory text is the perfect resource for students with little or no programming experience. Learn to use Python and its libraries, including PyLab, to tackle complex computational problems and interpret data. Developed by MIT for their popular OpenCourseWare and MOOCs, this new edition is updated for Python 3 and even includes additional material to enhance your learning experience. Get started on your journey to becoming a computational problem-solving expert today!
Discover the power of computational thinking with Computation and Programming Using Python. This comprehensive text covers a wide range of topics, from traditional algorithms to cutting-edge data science techniques. Through practical examples and hands-on exercises, you’ll learn to use Python and computational techniques to model and interpret data. This edition features new chapters on statistics, machine learning, and optimization problems, ensuring you have the latest tools at your disposal. Whether you’re a student or professional, this book is an invaluable resource for mastering computational problem solving.
Unlock the secrets of computational problem solving with Computation and Programming Using Python. Designed for those with little to no programming experience, this book will teach you the fundamentals of Python and computational thinking. With its focus on information visualization, randomness simulation, and statistical techniques, this text goes beyond traditional introductory material. In this updated second edition, you'll also explore advanced topics like optimization problems and dynamic programming. Don't miss out on this opportunity to expand your computational skills and become proficient in Python programming.
Ready to take your programming skills to the next level? Computation and Programming Using Python is your ticket to computational problem-solving mastery. This book covers everything from basic algorithms to the latest data science techniques. Whether you're a student or professional, this comprehensive text will equip you with the skills necessary to use computation effectively for modeling and interpreting data. With expanded material on statistics, machine learning, and Frequentist and Bayesian statistics, this second edition is the ultimate resource for aspiring data scientists. Take the first step toward becoming an expert programmer and order your copy today!
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