Buy used Bachelor of Computer Applications (BCA) books online in India
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Arihant quantitative aptitude CAT
1. ‘Quantum Cat’- the bestselling study guide for Management entrances 2. The entire syllabus has been divided into 21 Chapters 3. Every chapter is accompanied with CAT Test for quick revision of concepts 4. More than 400 Fundamental Concepts are provided for better understanding 5. More than 1000 Examples are provided with Use-Cases, Twists, Tricks Choices and Lateral Solutions 6. More than 5000 hand crafted problem are given for the practice 7. 2000 New MCQs have been provided for thorough practice Quantitative Aptitude is a core component for getting a winning CAT Score. Out of every section, Quantitative Ability is one of the most unpredictable and time consuming section. Quantitative Aptitude stems an important part of an individuals’ analytical and logical ability for solving complex problems, making it a filtering tool for qualifying CAT and other Management Entrances. The current edition of “Quantum Cat” has been designed by keeping in mind the needs of those who wish to enhance Quantitative Aptitude for CAT and other Management Examinations. The entire syllabus of Quantitative Aptitude section is divided into 21 Chapters and every topic has 2-3 levels of questions that help students to get prepared for the most difficult problems even beyond the CAT Level. At the end of every chapter there is ‘CAT Test’ that contains problems related to the topic that helps in the quick revision of the concepts. This edition has more than 400 Fundamental Concepts to remember, more than 1000 examples are used to give the conceptual clarity with the methods and tricks are used to solve the questions. With the solution oriented approach this book provides more than 5000 hand crafted problems with their respective solution. It also includes more than 2000 MCQs for thorough practice. This book provides the alternative and smarter solutions to get correct answers in lesser time to crack CAT. This book is highly useful for not only for management entrances but for other competitive examinations. With so many features this book
Introduction to the Design and Analysis of Algorithms
In the domain of city planning, smart cities made perceivable differences in easing city life, adding to its quality while keeping its people connected, engaged and informed. This book aims to introduce the idea of ‘Smart cities’ comprehensively by covering the conceptual basis and the principles in practice systematically and sector-wise. Written lucidly, covering both possible new attempts and retrofitting options in turning smart, the book is an all in one handy volume for beginners to city enthusiasts to advanced learners. Features: 1. Contains a concise story of cities and major innovations in city development. 2. Chapters on Mobility, Energy, Governance, Water Supply, Waste Management, Economy, Buildings and Environment as core sectors of smart city transformation. 3. Dedicated chapter on ICT. 4. Chapters on International and Indian case studies cover potential interventions. 5. Review Questions and Project Ideas added to test level of comprehension. Table of Contents: Chapter 1) Story of Cities Chapter 2) Urbanization and Sustainable Cities Chapter 3) Smart Cities: State of the Art Chapter 4) Smart Urban Mobility Chapter 5) Smart Energy Chapter 6) Smart Governance Chapter 7) Smart Water Management Chapter 8) Smart Waste Management Chapter 9) Smart Economy Chapter 10) Smart Buildings Chapter 11) Smart Environment Chapter 12) ICT for Smart Cities Chapter 13) Smart Cities: International Cases Chapter 14) Smart Cities: Indian Cases
Communication Systems
About The Book: This best-selling, easy to read, communication systems book has been extensively revised to include an exhaustive treatment of digital communications. Throughout, it emphasizes the statistical underpinnings of communication theory in a complete and detailed manner.
Programming in Ansi C
The book ‘Programming in ANSI C’ has been developed specifically to meet the needs of a first-time learner who iskeen to be a programmer. Distinguished as one of the bestsellers in the market, the book is taking forward another stepin pursuit of perfection with this new edition. It follows a hierarchical approach by explaining the concepts fromelementary to advanced level. The exhaustive coverage of critical concepts, such as Arrays, Strings, Functions,Pointers, Self-referential Structures, Dynamic Memory Allocation, etc. makes this title a complete reference guide forthe beginners as well as life-long learners. Rich pedagogy, challenging programming problems, and concretelycurated appendices enhance the utility of the book and make it a lasting resource for students and instructors.
Introduction to Algorithms (Brand New)
A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics.Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout.New for the fourth edition* New chapters on matchings in bipartite graphs, online algorithms, and machine learning* New material on topics including solving recurrence equations, hash tables, potential functions, and suffix arrays* 140 new exercises and 22 new problems* Reader feedback-informed improvements to old problems* Clearer, more personal, and gender-neutral writing style* Color added to improve visual presentation* Notes, bibliography, and index updated to reflect developments in the field* Website with new supplementary materialWarning: Avoid counterfeit copies of Introduction to Algorithms by buying only from reputable retailers. Counterfeit and pirated copies are incomplete and contain errors.
The Data Science Design Manual
This book serves an introduction to data science, focusing on the skills and principles needed to build systems for collecting, analyzing, and interpreting data. As a discipline, data science sits at the intersection of statistics, computer science, and machine learning, but it is building a distinct heft and character of its own.In particular, the book stresses the following basic principles as fundamental to becoming a good data scientist: "Valuing Doing the Simple Things Right," laying the groundwork of what really matters in analyzing data; "Developing Mathematical Intuition," so that readers can understand on an intuitive level why these concepts were developed, how they are useful and when they work best, and; "Thinking Like a Computer Scientist, but Acting Like a Statistician," following approaches which come most naturally to computer scientists while maintaining the core values of statistical reasoning. The book does not emphasize any particular language or suite of data analysis tools, but instead provides a high-level discussion of important design principles.This book covers enough material for an "Introduction to Data Science" course at the undergraduate or early graduate student levels. A full set of lecture slides for teaching this course are available at an associated website, along with data resources for projects and assignments, and online video lectures.Other Pedagogical features of this book include: "War Stories" offering perspectives on how data science techniques apply in the real world; "False Starts" revealing the subtle reasons why certain approaches fail; "Take-Home Lessons" emphasizing the big-picture concepts to learn from each chapter; "Homework Problems" providing a wide range of exercises for self-study; "Kaggle Challenges" from the online platform Kaggle; examples taken from the data science television show "The Quant Shop," and; concluding notes in each tutorial chapter pointing readers to primary sources and additional references.
Data Structures
This modern object-oriented approach to data structures helps readers gain an integrated understanding of data structures and their applications. Carefully developing topics with sufficient detail, this book enables users to learn about concepts on their own; clarity of presentation and depth of coverage makes this a perfect learning tool for professionals.It includes a solid introduction to algorithms, an integral part of understanding the subject, and uses Java syntax and structure in the design of data structures. Its breadth of coverage insures that core topics such as linked lists, sets, maps, and iterators are carefully and comprehensively discussed.For computer programmers, computer analysts, and information technology professionals.
