This 4-volume boxed set contains an alphabet book, a book of rhymes about each month, a counting book, and a cautionary tale all written and illustrated by Maurice Sendak. Includes the titles Alligators All Around, Chicken Soup with Rice, One Was Johnny, and Pierre.(Titles available separately in library and paperback editions.)

Each month is gay, each season nice, when eating chicken soup with rice./DIV

CD-ROM contains: programming examples from the book and a demo of the PythonWorks IDE.

‘An alligator jamboree, with all the letters ' A through Z.'

One Was Johnny, along with the other three classic Nutshell Library titles (Alligators All Around, Chicken Soup with Rice, and Pierre), is the first board book edition of Maurice Sendak’s original work! You loved Nutshell Library as a miniature collection, and these large board books will make it even easier for children to share with their grown-up readers. From one to ten and back again, children have been counting along with Maurice Sendak’s One Was Johnny for over fifty years. Now they can enjoy this classic rhyming story of a boy and his many visitors in this durable board book format!

Pierre’s ‘I don’t care!’ intrigues a hungry lion. ‘A story with a moral air about Pierre, who learned to care.’

Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs -- with just enough math to let you understand and analyze algorithm performance. With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate. With this book, you will: Solve a particular coding problem or improve on the performance of an existing solution Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use Get algorithmic solutions in C, C++, Java, and Ruby with implementation tips Learn the expected performance of an algorithm, and the conditions it needs to perform at its best Discover the impact that similar design decisions have on different algorithms Learn advanced data structures to improve the efficiency of algorithms With Algorithms in a Nutshell, you'll learn how to improve the performance of key algorithms essential for the success of your software applications.

If you're considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You'll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data. Author Joseph Adler illustrates each process with a wealth of examples from medicine, business, and sports. Updated for R 2.14 and 2.15, this second edition includes new and expanded chapters on R performance, the ggplot2 data visualization package, and parallel R computing with Hadoop. Get started quickly with an R tutorial and hundreds of examples Explore R syntax, objects, and other language details Find thousands of user-contributed R packages online, including Bioconductor Learn how to use R to prepare data for analysis Visualize your data with R's graphics, lattice, and ggplot2 packages Use R to calculate statistical fests, fit models, and compute probability distributions Speed up intensive computations by writing parallel R programs for Hadoop Get a complete desktop reference to R.