Owners of beloved dogs will universally agree that, sometimes, it seems their pet understands everything that is being said around them. In this fantasy, Chipper provides some answers to the question: What adventures might a dog have if he could actually read words and understand what is being said by those nearby? Sit down and shake a paw with this special canine as he grows from a clumsy pup to a crime-stopping member of the local police force. Along the way, he learns to read. He is dog-napped, injured and almost euthanized. He becomes a dog who counsels other dogs…and he uses a special computer to tell the story of his adventures. Join Mary Anne and Chipper, together with their good friend Monty and his dog, Maggie, as they create a training school for dogs – The Learning Lab – whose results amaze and mystify the owners of the dogs in attendance. But these undertakings can’t even compare with the superlative life-lessons Mary Anne and Chipper learn from Mom and Dad and Mr. Robb, their wise and kindly neighbor. This quirky canine is sure to find his way into your heart. He may not be able to speak, but Chipper’s waggy-tailed escapades will keep you wondering, “…and what else can this dog do?”

Lists more than 80,000 rhyming words, including single, double, and triple rhymes, and offers information on rhyme schemes, meter, and poetic forms.

Today, anyone in a scientific or technical discipline needs programming skills. Python is an ideal first programming language, and Introduction to Programming in Python is the best guide to learning it. Princeton University’s Robert Sedgewick, Kevin Wayne, and Robert Dondero have crafted an accessible, interdisciplinary introduction to programming in Python that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students to learn that programming is a natural, satisfying, and creative experience. This example-driven guide focuses on Python’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science. Coverage includes Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused Object-oriented programming and data abstraction: objects, modularity, encapsulation, and more Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables Examples from applied math, physics, chemistry, biology, and computer science—all compatible with Python 2 and 3 Drawing on their extensive classroom experience, the authors provide Q&As, exercises, and opportunities for creative practice throughout. An extensive amount of supplementary information is available at introcs.cs.princeton.edu/python. With source code, I/O libraries, solutions to selected exercises, and much more, this companion website empowers people to use their own computers to teach and learn the material.