This third edition of John Zelle's Python Programming continues the tradition of updating the text to reflect new technologies while maintaining a time-tested approach to teaching introductory computer science. An important change to this edition is the removal of most uses of eval and the addition of a discussion of its dangers. In our increasingly connected world, it's never too early to begin considering computer security issues. This edition also uses several new graphics examples, developed throughout chapters 4-12. [IMPORTANT NOTICE TO PURCHASERS: Any Kindle edition of this book is an il... [Read More]
Classroom-tested by tens of thousands of students, this new edition of the bestselling intro to programming book is for anyone who wants to understand computer science. Learn about design, algorithms, testing, and debugging. Discover the fundamentals of programming with Python 3.6--a language that's used in millions of devices. Write programs to solve real-world problems, and come away with everything you need to produce quality code. This edition has been updated to use the new language features in Python 3.6.
Gain a contemporary overview of today's computer science with the best-selling INVITATION TO COMPUTER SCIENCE, 8E. This flexible, non-language-specific book uses an algorithm-centered approach that's ideal for your first introduction to computer science. Measurable learning objectives and a clear hierarchy help introduce algorithms, hardware, virtual machines, software development, applications, and social issues. Exercises, practice problems, and feature boxes emphasize real-life context as well as the latest material on privacy, drones, cloud computing, and net neutrality. Optional online la... [Read More]
This book is designed to be used as the primary textbook in a college-level first course in computing. It takes a fairly traditional approach, emphasizing problem solving, design, and programming as the core skills of computer science. However, these ideas are illustrated using a non-traditional language, namely Python. Although Python is the language, teaching Python is not the main point of this book. Rather, Python is used to illustrate fundamental principles of design and programming that apply in any language or computing environment. In some places, certain Python features and idioms tha... [Read More]
The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow.Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are descr... [Read More]
This is the second edition of John Zelle's Python Programming, updated for Python 3. This book is designed to be used as the primary textbook in a college-level first course in computing. It takes a fairly traditional approach, emphasizing problem solving, design, and programming as the core skills of computer science. However, these ideas are illustrated using a non-traditional language, namely Python. Although Python is used as the language, teaching Python is not the main point of this book. Rather, Python is used to illustrate fundamental principles of design and programming that apply in ... [Read More]
NOTE: This book is a standalone book and will not include an access code. Discover a contemporary overview of today's computer science with the best-selling INVITATION TO COMPUTER SCIENCE, 7E. This flexible, non-language-specific approach provides a solid foundation using an algorithm-driven approach that's ideal for the reader's first introduction to the field of Computer Science. Expanded chapter exercises and practice problems, feature boxes, and the latest material on emerging topics, such as privacy, drones, cloud computing, and net neutrality, connect readers with today's most current co... [Read More]
Minds, Brains, Computers serves as both an historical and interdisciplinary introduction to the foundations of cognitive science.
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-worl... [Read More]
Over the past sixty years, the spectacular growth of the technologies associated with the computer is visible for all to see and experience. Yet, the science underpinning this technology is less visible and little understood outside the professional computer science community. As a scientific discipline, computer science stands alongside the likes of molecular biology and cognitive science as one of the most significant new sciences of the post Second World War era. In this Very Short Introduction, Subrata Dasgupta sheds light on these lesser known areas and considers the conceptual basis of c... [Read More]
"A project-based introduction to programming in Python, with exercises. Covers general programming concepts, Python fundamentals, and problem solving. Includes three projects - how to create a simple video game, use data visualization techniques to make
Readers will learn Python by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix the mistakes. Watch the programs run. Includes 5+ hours of video where Shaw
An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fieldsQuantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences
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