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.
There is a difference between Exercise and Training. Exercise is physical activity for its own sake, a workout done for the effect it produces today, during the workout or right after you're through. Training is physical activity done with a longer-term goal in mind, the constituent workouts of which are specifically designed to produce that goal. Training is how athletes prepare to win, and how all motivated people approach physical preparation.
Practical Programming for Strength Training 3rd Edition addresses the topic of Training. It details the mechanics of the process, from the basic physiology of adaptation to the specific programs that apply these principles to novice, intermediate, and advanced lifters.
--Each chapter completely updated --New illustrations and graphics --Better explanations of the proven programs that have been helping hundreds of thousands of lifters get stronger more efficiently --Expanded Novice chapter with the details of 3 different approaches to the problem of getting stuck and special approaches for the underweight and overweight trainee --Expanded Intermediate chapter with 18 separate programs and 11 detailed examples --Expanded Advanced chapter with detailed examples of 9 different programs --Expanded Special Populations chapter with example programs for women and masters lifters training through their 50s, 60s, 70s, and 80s --Day-to-day, workout-to-workout, week-by-week detailed programs for every level of training advancement --The most comprehensive book on the theory and practice of programming for strength training in print
Printed in a new larger format for better display of the programs, PPST3 will be an important addition to your training library.
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