Salient features: Expanded coverage on software tools including user interfaces; enhanced treatment of language processors with addition of three new chapters on the topic; includes detailed discussions on assemblers, macroprocessors, compilers, and interpreters, and linkers, security in a distributed environment; complementary new chapter devoted to protection; process management and information management; numerous examples from contemporary systems like UNIX and IBM PC illustrating concepts and techniques; indispensible text for undergraduate and postgraduate students of computer science and engineering; an invaluable reference tools for system analysis and computer professionals.

    It describes the theory with examples step by step. It contains the description of writing tehse steps in programs in very easy and understanble manner.

    

    On Lisp explains the reasons behind Lisp's growing popularity as a mainstream programming language. On Lisp is a comprehensive study of advanced Lisp techniques, with bottom-up programming as the unifying theme. It gives the first complete description of macros and macro applications. The book also covers important subjects related to bottom-up programming, including functional programming, rapid prototyping, interactive development, and embedded languages. The final chapter takes a deeper look at object-oriented programming than previous Lisp books, showing the step-by-step construction of a working model of the Common Lisp Object System (CLOS). As well as an indispensable reference, On Lisp is a source of software. Its examples form a library of functions and macros that readers will be able to use in their own Lisp programs.

    In contrast, most software developers only ever get to know a handful of large programs well—usually programs they wrote themselves—and never study the great programs of history. As a result, they repeat one another's mistakes rather than building on one another's successes.This book's goal is to change that. In it, the authors of twenty-five open source applications explain how their software is structured, and why. What are each program's major components? How do they interact? And what did their builders learn during their development? In answering these questions, the contributors to this book provide unique insights into how they think.If you are a junior developer, and want to learn how your more experienced colleagues think, this book is the place to start. If you are an intermediate or senior developer, and want to see how your peers have solved hard design problems, this book can help you too.

    With this long-awaited revision, the authors continue to present the theory in a concise and straightforward manner, now with an eye out for the practical applications. They have revised this book to make it more accessible to today's students, including the addition of more material on writing proofs, more figures and pictures to convey ideas, side-boxes to highlight other interesting material, and a less formal writing style. Exercises at the end of each chapter, including some new, easier exercises, help readers confirm and enhance their understanding of the material. *NEW! Completely rewritten to be less formal, providing more accessibility to todays students. *NEW! Increased usage of figures and pictures to help convey ideas. *NEW! More detail and intuition provided for definitions and proofs. *NEW! Provides special side-boxes to present supplemental material that may be of interest to readers. *NEW! Includes more exercises, including many at a lower level. *NEW! Presents program-like notation for PDAs and Turing machines. *NEW! Increas

    The book comprises chapters on elementary data structures, dynamic programming, backtracking, algebraic problems, lower bound theory, pram algorithms, mesh algorithms, and hypercube algorithms. In addition, the book consists of several real-world examples to understand the concepts better. This book is indispensable for computer engineers preparing for competitive examinations like GATE and IES.

    But with a million blogs, books, and videos out there, just where do you start? The worldwide best selling "You Don't Know JS" book series is back for a 2nd edition: "You Don't Know JS Yet". All 6 books are brand new, rewritten to cover all sides of JS for 2020 and beyond. "Get Started" prepares you for the journey ahead, first surveying the language then detailing how the rest of the You Don't Know JS Yet book series guides you to knowing JS more deeply.

    For the first time, these books are available as a boxed, three-volume set. The handsome slipcase makes this set an ideal gift for the recent computer science graduate or professional programmer. Offering a description of classical computer science, this multi-volume work is a useful resource in programming theory and practice for students, researchers, and practitioners alike. For programmers, it offers cookbook solutions to their day-to-day problems.

    This completely revised edition shows you how to master key JavaScript concepts such as functions, closures, objects, prototypes, and promises. It covers APIs such as the DOM, events, and timers. You’ll discover best practice techniques such as testing, and cross-browser development, all taught from the perspective of skilled JavaScript practitioners.

    It also provides a straightforward but comprehensive treatment of VLSI design processes and design rules for students and all novice digital systems designers.

    In 1985, a new version of the language was developed, incorporating additional features such as multiple input files, dynamic regular expressions, and user-defined functions. This new version is available for both Unix and MS-DOS. This is the first book on AWK. It begins with a tutorial that shows how easy AWK is to use. The tutorial is followed by a comprehensive manual for the new version of AWK. Subsequent chapters illustrate the language by a range of useful applications, such as: Retrieving, transforming, reducing, and validating data Managing small, personal databases Text processing Little languages Experimenting with algorithms The examples illustrates the books three themes: showing how to use AWK well, demonstrating AWKs versatility, and explaining how common computing operations are done. In addition, the book contains two appendixes: summary of the language, and answers to selected exercises.

    It is also about Python. However, there is much more. The study of algorithms and data structures is central to understanding what computer science is all about. Learning computer science is not unlike learning any other type of difficult subject matter. The only way to be successful is through deliberate and incremental exposure to the fundamental ideas. A beginning computer scientist needs practice so that there is a thorough understanding before continuing on to the more complex parts of the curriculum. In addition, a beginner needs to be given the opportunity to be successful and gain confidence. This textbook is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the computer science curriculum. Even though the second course is considered more advanced than the first course, this book assumes you are beginners at this level. You may still be struggling with some of the basic ideas and skills from a first computer science course and yet be ready to further explore the discipline and continue to practice problem solving. We cover abstract data types and data structures, writing algorithms, and solving problems. We look at a number of data structures and solve classic problems that arise. The tools and techniques that you learn here will be applied over and over as you continue your study of computer science.

    These two have been the most distinguishing features of all the previous 6 editions of this book. Today's C programmer has to not only master the complexities and intricacies of the language but also has to contend with its usage in environments like Windows and Linux. This book covers all these three aspects of C Programming very well. This book doesn't assume any programming background. It begins with the basics and steadily builds the pace so that the reader finds it easy to handle complicated topics towards the end. Each chapter has been designed to create a deep and lasting impression on the reader's mind. "If taught through examples, any concept becomes easy to grasp". This book follows this dictum faithfully. Yashavant has crafted well thought out programming examples for every aspect of C Programming. Some of the highlighting features of the book are: Traditional C Programming: Pointers, Complete build process, Low-level File I/O, Structures, Unions, Bit-fields, Bitwise Operators, Creating Function Libraries; C Under Linux: Signals and Signal Handling; Blocking of Signals; Event Driven Programming; Process, PIDs, Zombies; Forking of Process; GNOME Programming Using GTK Library; C Under Windows: Windows Programming Model; Windows Messaging Architecture; Mouse Programming; Hardware Interaction; and Windows Hooks.

    By staying current, remaining relevant, and adapting to emerging course needs, this market-leading text has continued to define the operating systems course. This Seventh Edition not only presents the latest and most relevant systems, it also digs deeper to uncover those fundamental concepts that have remained constant throughout the evolution of today's operation systems. With this strong conceptual foundation in place, students can more easily understand the details related to specific systems. New Adaptations * Increased coverage of user perspective in Chapter 1. * Increased coverage of OS design throughout. * A new chapter on real-time and embedded systems (Chapter 19). * A new chapter on multimedia (Chapter 20). * Additional coverage of security and protection. * Additional coverage of distributed programming. * New exercises at the end of each chapter. * New programming exercises and projects at the end of each chapter. * New student-focused pedagogy and a new two-color design to enhance the learning process.