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.
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.
Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects.
Learn Python Programming is a quick, thorough, and practical introduction to Python - an extremely flexible and powerful programming language that can be applied to many disciplines.
Unlike other books, it doesn't bore you with elaborate explanations of the basics but gets you up-and-running, using the language. You will begin by learning the fundamentals of Python so that you have a rock-solid foundation to build upon.
You will explore the foundations of Python programming and learn how Python can be manipulated to achieve results. Explore different programming paradigms and find the best approach to a situation; understand how to carry out performance optimization and effective debugging; control the flow of a program; and utilize an interchange format to exchange data. You'll also walk through cryptographic services in Python and understand secure tokens.
Learn Python Programming will give you a thorough understanding of the Python language. You'll learn how to write programs, build websites, and work with data by harnessing Python's renowned data science libraries. Filled with real-world examples and projects, the book covers various types of applications, and concludes by building real-world projects based on the concepts you have learned.
Learn Python Programming is for individuals with relatively little experience in coding or Python. It's also ideal for aspiring programmers who need to write scripts or programs to accomplish tasks. The book shows you how to create a full-fledged application.
Practical Software Architecture Solutions from the Legendary Robert C. Martin (âUncle Bobâ)
By applying universal rules of software architecture, you can dramatically improve developer productivity throughout the life of any software system. Now, building upon the success of his best-selling books Clean Code and The Clean Coder, legendary software craftsman Robert C. Martin (âUncle Bobâ) reveals those rules and helps you apply them.
Martinâs Clean Architecture doesnât merely present options. Drawing on over a half-century of experience in software environments of every imaginable type, Martin tells you what choices to make and why they are critical to your success. As youâve come to expect from Uncle Bob, this book is packed with direct, no-nonsense solutions for the real challenges youâll faceâthe ones that will make or break your projects.
Clean Architecture is essential reading for every current or aspiring software architect, systems analyst, system designer, and software managerâand for every programmer who must execute someone elseâs designs.
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The book features hundreds of interesting and practical examples of well-written Go code that cover the whole language, its most important packages, and a wide range of applications. Each chapter has exercises to test your understanding and explore extensions and alternatives. Source code is freely available for download from http://gopl.io/ and may be conveniently fetched, built, and installed using the go get command.
The first edition of C Programming: A Modern Approach was popular with students and faculty alike because of its clarity and comprehensiveness as well as its trademark Q&A sections.
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