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Operating Systems and Middleware
By using this innovative text, students will obtain an understanding of how contemporary operating systems and middleware work, and why they work that way.
Concrete Abstractions
CONCRETE ABSTRACTIONS offers students a hands-on, abstraction-based experience of thinking like a computer scientist. This text covers the basics of programming and data structures, and gives first-time computer science students the opportunity to not only write programs, but to prove theorems and analyze algorithms as well. Students learn a variety of programming styles, including functional programming, assembly-language programming, and object-oriented programming (OOP). While most of the book uses the Scheme programming language, Java is introduced at the end as a second example of an OOP system and to demonstrate concepts of concurrent programming.
Think Python
"How to think like a computer scientist"--Cover.
Python for Software Design
Python for Software Design is a concise introduction to software design using the Python programming language. The focus is on the programming process, with special emphasis on debugging. The book includes a wide range of exercises, from short examples to substantial projects, so that students have ample opportunity to practice each new concept.
Think Python
If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3. Through exercises in each chapter, youâ??ll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics. Beginners just getting their feet wet will learn how to start with Python in a browser. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand objects, methods, and object-oriented programming Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design, data structures, and GUI-based programs through case studies
Essentials of Programming Languages, third edition
A new edition of a textbook that provides students with a deep, working understanding of the essential concepts of programming languages, completely revised, with significant new material. This book provides students with a deep, working understanding of the essential concepts of programming languages. Most of these essentials relate to the semantics, or meaning, of program elements, and the text uses interpreters (short programs that directly analyze an abstract representation of the program text) to express the semantics of many essential language elements in a way that is both clear and executable. The approach is both analytical and hands-on. The book provides views of programming langua...
Directory of Awards
None
Computer Organization and Design, Revised Printing
What's New in the Third Edition, Revised Printing The same great book gets better! This revised printing features all of the original content along with these additional features:• Appendix A (Assemblers, Linkers, and the SPIM Simulator) has been moved from the CD-ROM into the printed book• Corrections and bug fixesThird Edition featuresNew pedagogical features•Understanding Program Performance -Analyzes key performance issues from the programmer's perspective •Check Yourself Questions -Helps students assess their understanding of key points of a section •Computers In the Real World -Illustrates the diversity of applications of computing technology beyond traditional desktop and se...
Think Bayes
If you know how to program with Python and also know a little about probability, you’re ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer, and you’ll begin to apply these techniques to real-world problems. Bayesian statistical methods are becoming more common and more important, but not many resources are available to help beginners. Based on undergraduate classes taught by author Allen Downey, this book’s computational approach helps you get a solid start. Use your existing programming skills to learn and understand Bayesian statistics Work with problems involving estimation, prediction, decision analysis, evidence, and hypothesis testing Get started with simple examples, using coins, M&Ms, Dungeons & Dragons dice, paintball, and hockey Learn computational methods for solving real-world problems, such as interpreting SAT scores, simulating kidney tumors, and modeling the human microbiome.
The LaTeX Companion
For nearly three decades The LaTeX Companion has been the essential resource for anyone using LaTeX to create high-quality documents. Just like the earlier editions, this completely updated third edition is designed to serve as the stable core resource for users: covering all aspects of document production, from detailed micro-typography questions and macro-typography (heading design, lists, mathematics, tables, graphics, fonts, page-layout, etc.) to bibliography and index production. All chapters have been thoroughly revised and in many cases largely extended to describe new important functionality and features. More than 5,000 add-on packages have been analyzed in detail, out of which roug...
