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| | | | The Art of Computer Programming, Volume 2: Seminumerical Algorithms (2nd Edition)Knuth's multivolume work, widely recognized as the definitive description of classical computer science, is now available in an attractive, boxed set. The three volumes included in this set have each been revised recently to reflect developments in the field. As earlier editions clearly demonstrated, they comprise an invaluable resource in... |
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A Practical Introduction to Enterprise Network and Security Management
Computer networking and cybersecurity are challenging subjects, partly because of the constant rise and fall of related technologies and IT paradigms. As the title implies, much focus of this book is on providing the audience with practical, as well as, theoretical knowledge necessary to build a solid ground for a successful... | | Python Programming: An Introduction to Computer Science
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,... | | Encyclopedia of OptimizationThe goal of the Encyclopedia of Optimization is to introduce the reader to a complete set of topics that show the spectrum of research, the richness of ideas, and the breadth of applications that has come from this field.
In 2000, the first edition was widely acclaimed and received high praise. J.B. Rosen crowned it “an indepensible... |
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97 Things Every Programmer Should Know: Collective Wisdom from the Experts
Programmers have a lot on their minds . Programming languages, programming techniques, development environments, coding style, tools, development process, deadlines, meetings, software architecture, design patterns, team dynamics, code, requirements, bugs, code quality. And more. A lot. There is an art, craft, and science to programming that... | | Java for Data Science
Examine the techniques and Java tools supporting the growing field of data science About This Book Your entry ticket to the world of data science with the stability and power of Java Explore, analyse, and visualize your data effectively using easy-to-follow examples Make your Java applications more capable using machine learning Who This Book Is... | | |
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