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Daniel P. Friedman, Matthias Felleisen
"drawings by Duane Bibby" foreword by Gerald J. Sussman "I learned more about LISP from this book than I have from any of the other LISP books I've read over the years. . . . While other books will tell you the mechanics of LISP, they can leave you largely uninformed on the style of problem-solving for which LISP is optimized. The Little LISPer teaches you how to think in the LISP language. . . an inexpensive, enjoyable introduction." -- Gregg Williams, Byte The notion that "thinking about computing is one of the most exciting things the human mind can do" sets both "The Little Schemer" (formerly known as "The Little LISPer" ) and its new companion volume, "The Seasoned Schemer," apart from other books on LISP. The authors' enthusiasm for their subject is compelling as they present abstract concepts in a humorous and easy-to-grasp fashion. Together, these books will open new doors of thought to anyone who wants to find out what computing is really about. "The Little Schemer" introduces computing as an extension of arithmetic and algebra -- things that everyone studies in grade school and high school. It introduces programs as recursive functions and briefly discusses the limits of what computers can do. The authors use the programming language Scheme, and interesting foods to illustrate these abstract ideas. "The Seasoned Schemer" informs the reader about additional dimensions of computing: functions as values, change of state, and exceptional cases. "The Little LISPer" has been a popular introduction to LISP for many years. It had appeared in French and Japanese. "The Little Schemer" and "The SeasonedSchemer" are worthy successors and will prove equally popular as textbooks for Scheme courses as well as companion texts for any complete introductory course in Computer Science. Download DrScheme - a graphical environment for developing Scheme programs
John Fox, Sanford Weisberg
This book aims to provide a broad introduction to the R statistical environment in the context of applied regression analysis, which is typically studied by social scientists and others in a second course in applied statistics.
Annotation Everyone in the Ruby world seems to be talking about metaprogramming--how you can use it to remove duplication in your code and write elegant, beautiful programs. Now you can get in on the action as well.This book describes metaprogramming as an essential component of Ruby. Once you understand the principles of Ruby, including the object model, scopes, and eigenclasses, you're on your way to applying metaprogramming both in your daily work and in your fun, after-hours projects.Learning metaprogramming doesn't have to be difficult or boring. By taking you on a Monday-through-Friday workweek adventure with a pair of programmers, Paolo Perrotta helps make mastering the art of metaprogramming both straightforward and entertaining.The book is packed with: Pragmatic examples of metaprogramming in action, many of which come straight from popular libraries or frameworks, such as Rails.Programming challenges that let you experiment and play with some of the most fun, "out-there" metaprogramming concepts.Metaprogramming "spells"--34 practical recipes and idioms that you can study and apply right now, to write code that is sure to impress.Whether you're a Ruby apprentice on the path to mastering the language or a Ruby wiz in search of new tips, this book is for you.