Beginning Linux Programming

Covering all the essential components of Unix/Linux, including process management, concurrent programming, timer and time service, file systems and network programming, this textbook emphasizes progra

With a clear writing style that is stripped of highly technical jargon, Programming Logic and Design, Comprehensive, Fifth Edition provides beginning programmers with a guide to developing structured

Designed as a one semester, Java textbook for beginning programmers, this book uses game programming as a central pedagogical tool to improve student engagement, learning outcomes, and retention. The

Learn to master basic programming tasks from scratch with real-life scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to quickly gain proficiency. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving onto the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualisation, this textbook also discusses the use of IPython notebooks to build rich-media, shareable documents for scientific analysis. Including a final chapter introducing challenging topics such as floating-point precision and algorithm stability, and with extensive online resources to support advanced study, this textbook represents a targe

“We live in the age of data. In the last few years, the methodology of extracting insights from data or "data science" has emerged as a discipline in its own right. The R programming language has beco

This book provides a solid overview of mobile phone programming for readers in both academia and industry. Coverage includes all commercial realizations of the Symbian, Windows Mobile and Linux platfo

First published in 1998, this textbook is a broad but rigourous survey of the theoretical basis for the design, definition and implementation of programming languages and of systems for specifying and proving programme behaviour. Both imperative and functional programming are covered, as well as the ways of integrating these aspects into more general languages. Recognising a unity of technique beneath the diversity of research in programming languages, the author presents an integrated treatment of the basic principles of the subject. He identifies the relatively small number of concepts, such as compositional semantics, binding structure, domains, transition systems and inference rules, that serve as the foundation of the field. Assuming only knowledge of elementary programming and mathematics, this text is perfect for advanced undergraduate and beginning graduate courses in programming language theory and also will appeal to researchers and professionals in designing or implementing

Understand common scheduling as well as other advanced operational problems with this valuable reference from a recognized leader in the field. Beginning with basic principles and an overview of linear and mixed-integer programming, this unified treatment introduces the fundamental ideas underpinning most modeling approaches, and will allow you to easily develop your own models. With more than 150 figures, the basic concepts and ideas behind the development of different approaches are clearly illustrated. Addresses a wide range of problems arising in diverse industrial sectors, from oil and gas to fine chemicals, and from commodity chemicals to food manufacturing. A perfect resource for engineering and computer science students, researchers working in the area, and industrial practitioners.

There are no silver bullets in algorithm design, and no single algorithmic idea is powerful and flexible enough to solve every computational problem. Nor are there silver bullets in algorithm analysis, as the most enlightening method for analyzing an algorithm often depends on the problem and the application. However, typical algorithms courses rely almost entirely on a single analysis framework, that of worst-case analysis, wherein an algorithm is assessed by its worst performance on any input of a given size. The purpose of this book is to popularize several alternatives to worst-case analysis and their most notable algorithmic applications, from clustering to linear programming to neural network training. Forty leading researchers have contributed introductions to different facets of this field, emphasizing the most important models and results, many of which can be taught in lectures to beginning graduate students in theoretical computer science and machine learning.

CBC and NSTA's Best STEM Books Pick for 2022Explore artificial intelligence—the programming that teaches computers to be brainy—in this “enjoyable, upbeat series” (Booklist).Did you know that you can teach a robot to play soccer? Or that you can ride in a car driven by a computer? Discover how AI learns and grows, as well as how it identifies objects by recognizing differences and similarities!Ignite your scientific mind with fun facts, activities, and experiments. Try this: Hum “Twinkle, Twinkle Little Star,” “Baa, Baa, Black Sheep,” and the ABCs. Do you notice any similarities? Soon you’ll be thinking just like an AI program!This STEM-driven series helps beginning scientists and engineers grasp big scientific ideas with:Intriguing info to fill and thrill your brain.Hands-on activities to jumpstart your imagination.Great photos to help you get the bigger picture.New ideas sure to change the way you see the world.From Starry Forest Books,STEAM & Me™uses science, technology, enginee

This book introduces beginning undergraduate students of computing and computational disciplines to modern parallel and distributed programming languages and environments, including map-reduce, genera

Guide beginning programmers through the fundamentals of the C# language using its most recent features with Farrell's MICROSOFT VISUAL C# 2017: AN INTRODUCTION TO OBJECT-ORIENTED PROGRAMMING, 7E. Appr

This text helps beginners develop their own Python programs. Experiments with fully completed programs are provided at the beginning of each chapter, allowing instructors to use the text in CS0 course