The broad, yet in-depth coverage of C programming language, within the context of today's C programming style, makes this book as useful for practicing professionals as it is for beginning programmers. This study guide solves many sample problems using other programming languages so readers can compare several popular languages. It also includes clear explanations of most of the features in the current ANSI standard. The emphasis throughout is on designing clear, legible, modular and efficient programs.

“Programming Concepts in C, DS, C++, Java” book covers all major concepts in different programming languages individually.

This powerful study tool is the best tutor you can have if you want top grades and thorough understanding of the fundamentals of computing with C++, the computing language taught at 83% of all colleges. This student-friendly study guide leads you step-by-step through the entire computer science course, giving you 420 problems with fully worked solutions and easy-to-follow examples for every new topic. You get complete explanations of data abstraction, recursion, Standard C++ container classes, searching, sorting algorithms, and other complex concepts, simplified and illustrated so they're easy to grasp. You also get additional practice problems to solve on your own, working at your own speed. This superb study guide covers the entire course, from logic to libraries. If you're taking introduction to computer science, this book will be your best friend. It's perfect for independent study, too!

We are living in the world that is moving from the asset based economy to knowledge based economy. Our thinking process is changing from local scope to global scope. Programming is not an exception for paradigm shift. It is changing from modules to objects. And now it is your turn for shifting from C to C++. C++ is a super set of C language. It provides the C programmers the flavor of OOPS. With its object-oriented programming features like encapsulation, inheritance and polymorphism, C++ offers a number of benefits over C language. Object-Oriented Programming with C++ is a book also designed as per the syllabus of IV semester B.E. (Computer Science & Engineering and Information Science Engineering) course framed by the Visveswaraiah Technological University, Belgaum. This book is to teach the students the object-oriented programming concepts and C++. This book is written in a easy, riveting and readable style. The information provided in the book is helpful for B.E., B.Sc., BCA, MCA and M.Tech students of all universities The book provides around 200 programs to enrich the better understanding of C++. All C++ programming lab assignments are provided in Appendix-A. All the programs have been run and tested on Turbo C++ compiler on MS-DOS. However, some programs hardly countable with fingers are executed on Borland’s C++ compiler. These programs are exclusively mentioned with the comment -This program is run on Borland’s C++.

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.