MTECH PREVIOUS QUESTION PAPERS FOR JNTU-HYD

For Previous question papers of ALL Branches Click Here

FOR Mtech-CSE Notes: Click Here

10 Must-Have HTML5 Editors For Web Developers

 

HTML5 is widely used for designing UI of website or a web app. HTML5 text editors are widely used by developers and designers for designing the UI and UX fo of their app. These editors provide quite comfortable environment and features to developers. Today we have complied the list of 8 best HTML5 text editors.

1. Squire

Squire is powerful HTML5 editor. It is one of the best lightweight and flexible editor available on the web. Squire brings number of useful features. The tool works across most of the web browsers such as, Opera 10, Firefox 3.5, Safari 4, Chrome 9 and IE8.

2. WYSIhtml5

This is an open source feature rich text editor for HTML5. The tool brings sophisticated security concept to the method of editing. WYSIhtml5 is lightweight editor that offers Auto-linking of URLs as you type. You can easily use class names and use sandbox iframes to prevent identity theft through XSS. You do not require additional knowledge of jQuery to use WYSIhtml5.

3. Popline

Popline is HTML5 rich text editor toolbar. The tool has been inspired by popclip. Popline supports traditional RTE and View mode. Popline is highly integrated with social media accounts like Facebook, Twitter, Pinterest. You can also use Google search in view mode. This is out-of-the-box HTML5 editing tool.

4. Randera

Randera offers realtime preview of your work in CSS> The tool supports HAML and SASS. This tool is also used for learning HTML5 and CSS3 in an easier way. Randera is built with CoffeeScript and Sinatra.

5. Mercury

This is a feature-rich HTML5 editor. Mercury supports all HTML5 elements, syntaxes and JavaScript APIs. The tool is fully HTML, it supports full HTML, simple, markdown, snippet and image region. You can preview the edited content, insert links, images, videos and tables. Uploading files in Mercury is as simple as drag and drop.

6. Aloha Editor

Aloha is the most advanced browser based HTML5 editor. The tool lets you experience a new way editing. It is faster than existing technologies and offers unprecedented functionalities. Aloha can be easily embedded in content management systems like Wordpress, Dupal, MeteorJS. Aloha is built using JavaScript.

7. BlueGriffon

BlueGriffon is the next generation Firefox based web editor. The tool is powered by Gecko rendering engine Firefox. It is the most modern and robust solution for editing web pages in latest web standards. BlueGriffon offers intuitive application that lets web developers make changes in simpler user interface that allows them to create attractive web sites.

8. Raptor

Raptor editor is the user-friendly and easy-to-integrate solution. The tool is designed for inline editing. It is the best solution for complex multi-block layouts. Raptor offers comprehensive built-in tools for editing unit tests and modular codebase and plugin APIs.

9. Canvas

Canvas is a simple text editor based on HTML5 canvas. The tool is written as a result of set of tutorials on text editor inner workings.

10. Qute

Qute is innovative HTML5 text editor that offers Markdown and TeX support. Qute has great feature of paragraph preview. Users can switch between editing the source and viewing rich text rendering with several typeset formulas for each paragraph. Qute has minimal interface, several themes and full-screen mode for distraction free writing. 

35 Free eBooks On C Programming

C programming is one of the most popular and widely used programming languages for creating computer programs and one major reason behind its popularity is because C gives maximum control and efficiency to the programmer. It allows the programmer to read and write code for a large number of platforms and everything from microcontrollers to the most advanced scientific systems can be written in C, and many modern operating systems are written in C.

Also the new object oriented language C++ is an extension of C, and it is nearly impossible to learn C++ without learning C first. So here we bring 35 ebooks for you to learn and enhance skills on C programming. And best of all, they are all free!

1. Functional C by Pieter Hartel, Henk Muller - Addison-Wesley, 1999

The book teaches how to program in C, assuming that the student has already learnt how to formulate algorithms in a functional style. The student will become a better C programmer, capable of writing programs that are easier to maintain.

2. Programming in C: UNIX System Calls and Subroutines using C by A. D. Marshall - Cardiff University, 1999

This book is guide to UNIX software development in C for professional programmers and students. It focuses on the UNIX system call interface, the programming interface between the UNIX Kernel and applications running in the UNIX environment.

3. A to Z of C by K. Joseph Wesley, R. Rajesh Jeba Anbiah, 2008

This is an intermediate to advanced C programming book writen for C lovers, students, programmers, and other enthusiasts. The book is written to open many secrets of C, it alos introduces various approaches to solve different problems.

4. 88 C Programs by JT Kalnay - Smashwords, 2012

The author included example programs that exhaustively illustrate the important points of C. By working through these programs you can teach yourself C. It is assumed that you already know how to program and are familiar with standard algorithms.

5. Learn C The Hard Way by Zed A. Shaw - LCodeTHW, 2011

A clear and direct introduction to modern C programming. The purpose of this book is to get you strong enough in C that you'll be able to write your own software in it, or modify someone else's code. The text is not for beginners.

6. Programming in C by Bharat Kinariwala, Tep Dobry - University of Hawaii at Manoa, 1993

Contents: Designing Programs Top Down; Processing Character Data; Numeric Data Types and Expression Evaluation; Pointers; Arrays; Functions and Files; Two Dimensional Arrays; Sorting and Searching; String Processing; Structures and Unions; etc.

7. Object-Oriented Programming with ANSI-C by Axel-Tobias Schreiner, 1999

In this book, we are going to use ANSI-C to discover how object-oriented programming is done, what its techniques are, why they help us solve bigger problems, and how we harness generality and program to catch mistakes earlier.

8. Conceptive C by Harry McGeough - Smashwords, 2011

Conceptive C is an AI programming Language based on Objective-C and C Language. It is a superset of both languages. Conceptive C uses concepts to program natural language and Artificial Intelligence based computer language based on Objective C.

9. Object-Oriented Programming and the Objective-C Language - NeXT Software, Inc., 1996

Objective-C is implemented as set of extensions to the C language. This book both introduces the object-oriented model that Objective-C is based upon and fully documents the language. It concentrates on the Objective-C extensions to C.

10. C Programming - Wikibooks, 2006

C is the precursor for almost all of the popular high-level languages available today. This book represents a comprehensive look at the C programming language and its features. Basic computer literacy is assumed, but no special knowledge is needed.

11. A Little C Primer - Wikibooks, 2010

This online wiki book is a quick and easy introduction to the ANSI C programming language. It is written by a novice, and is intended for use by a novice. However, it does assume some familiarity with a programming language.

12. Foundations of Computer Science: C Edition by Al Aho, Jeff Ullman - W. H. Freeman, 1994

Aho and Ullman have created a C version of their groundbreaking text. This book combines the theoretical foundations of computing with essential discrete mathematics. It follows the same organizations, with all examples and exercises in C.

13. Become an Xcoder: Start Programming the Mac Using Objective-C by B. Altenberg, A. Clarke, P. Mougin - CocoaLab, 2008

A free book for starting with Cocoa using Objective-C. It teaches you the basics of programming, in particular Objective-C programming, using Xcode. Written for non-programmers, and aimed at leveling the learning curve as much as possible.

14. Objective-C 2.0 Essentials by Neil Smyth - Techotopia, 2010

The Objective-C 2.0 Essentials free online book contains 34 chapters of detailed information intended to provide everything necessary to gain proficiency as an Objective-C programmer for both Mac OS X and iPhone development.

15. Using GCC: The GNU Compiler Collection Reference Manual for GCC by Richard M. Stallman - Free Software Foundation, 2003

The definitive reference manual for the most widely used compiler in the world, written by its current developers. The GNU Compiler Collection is a full-featured ANSI C compiler with support for C, C++, Objective C, Java and Fortran.

16. No Bugs!: Delivering Error-Free Code in C and C++ by David Thielen - Addison-Wesley, 1992

The book offers a revolutionary approach to software development by showing how to write error-free code from the start. Presented are techniques to stop many kinds of bugs from being included in a program. It also discusses how to test programs.

17. Debugging C and C++ code in a Unix environment by J. H. M. Dassen, I. G. Sprinkhuizen-Kuyper – OOPWeb.com

This document describes several techniques and tools for debugging code in C-like languages in a Unix environment. We will also discuss some good coding practices that will diminish the occurrence of certain types of bugs.

18. C Programming in Linux by David Haskins - BookBoon, 2009

Using a series of web development examples, this book will give you an interesting glimpse into a powerful lower-level world. C is tight and spare and economical, and people who know C will ensure critical systems keep running.

19. The GNU C Programming Tutorial by Mark Burgess, Ron Hale-Evans - Free Software Foundation, 2002

This book is a tutorial for the computer programming language C. You should have some basic computer literacy: to be able to run a program, edit a text file, etc. The tutorial introduces basic ideas in a logical order and progresses steadily.

20. The GNU C Library Reference Manual by Sandra Loosemore, at al. - Free Software Foundation, Inc., 2007

The GNU C library, described in this document, defines all of the library functions that are specified by the ISO C standard, as well as additional features specific to POSIX. This manual tells you how to use the facilities of the GNU library.

21. Learning GNU C by Ciaran O'Riordan, 2002

The book teaches GNU users how to write software in C. It is written as a tutorial for beginners but should be thorough enough to be used as a reference by experience programmers. The basics are laid down in full in the first few chapters.

22. Learning Cocoa with Objective-C by James Duncan Davidson - O'Reilly Media, Inc., 2002

This new edition covers the latest updates to the Cocoa frameworks, including examples that use the Address Book and Universal Access APIs. This is the 'must-have' book for people who want to develop applications for Mac OS X.

23. The Objective-C 2.0 Programming Language - Apple Inc., 2009

Objective-C is a small but powerful set of extensions to the standard ANSI C language. This document fully describes the Objective-C language. It concentrates on the Objective-C extensions to C, not on the C language itself.

24. Beej's Guide to Network Programming - Using Internet Sockets by Brian Hall, 2008

A brief how-to guide on network programming using Internet sockets, written for anybody who is just starting out with socket programming. The section on Windows programming is also included. The guide is updated for IPv6.

25. ANSI C for Programmers on UNIX Systems by Tim Love, 1999

This document introduces C by providing and explaining examples of common programming tasks. It enables the reader to learn from available source code by clarifying common causes of incomprehension. Exercises form an integral part of the course.

26. C Programming Tutorial (K&R version 4) by Mark Burgess, 1999

This book is a tutorial. Its aim is to teach C to a beginner, but with enough of the details so as not be outgrown as the years go by. It presumes that you have some previous aquaintance with programming, but you do not need much experience.

27. The C Library Reference Guide by Eric Huss, 1997

This guide provides a useful look at the standard C programming language. It will not teach one how to program in C, nor will it attempt to provide the history of C. It is merely a handy reference to the standard C library.

28. C Language Tutorial by Gordon Dodrill - Applix Pty Ltd, 1999

C language tutorial for experienced programmers. It begins with the highest level of C programming, including the concepts of pointers, structures, and dynamic allocation. This printed version includes copies of all the code, for easier reference.

29. C Elements of Style by Steve Oualline - M & T Books, 1992

A handy guide which covers the principals of good programming style, teaching C and C++ programmers how to write code that can be easily read, understood, and maintained by others. Useful both for students and professional programmers.

30. Writing Bug-Free C Code for Windows by Jerry Jongerius - Prentice Hall, 1995

The book presents a programming style that automatically detects bugs in C code. It describes a technique that results in bug-free code from the beginning, advocating a style of coding based upon data abstraction and run-time object verification.

31. The New C Standard by Derek M. Jones - Addison-Wesley Professional, 2008

The book about the latest version of the C Standard, it is a systematic analysis of the language standard. Every sentence in the C Standard appears in this book, followed by a commentary section, common implementations, coding guidelines, etc.

32. An Introduction to GCC by Brian J. Gough, Richard M. Stallman - Network Theory Ltd, 2004

This manual provides a complete introduction to the GNU C and C++ compilers, common problems and encountered error messages, with numerous easy examples. The text covers compiling using headers and libraries, preprocessor, linking, and more.

33. Image Processing in C: Analyzing and Enhancing Digital Images by Dwayne Philipps - R & D Books, 1997

An image processing tutorial which explains basic concepts, shows results with photographs, and implements programs in C. The book covers filters, edge detectors, and histogram equalizers, print procedures, and I/O routines, which are ready to use.

34. The C Book: Featuring the ANSI C Standard by Mike Banahan, Declan Brady, Mark Doran - Addison-Wesley Pub, 1991

Use this book to produce powerful and portable code. The C Book is dedicated to programmers who have some experience of using a modern high-level procedural programming language. Learn about new standards and how they affect existing C code.

35. Object Oriented Programming in ANSI-C by Axel Schreiner, 2001

We use ANSI-C to find out how to write object oriented programs, what are they useful for solving bigger problems, and how to catch mistakes earlier. The book covers classes, objects, instances, inheritance, linkage, methods, polymorphisms, and more. 

10 Fastest Ways To Learn Java...!!

  
1. Oracle's Introduction to Basics in Java: 

Not only Java, but for any programming language you need to start from the very scratch, the basics. The official Oracle website provides a great introduction to Java which explains what is Java and how it works. There are a lot of resources too for further learning but the necessary tools are quite required to begin learning Java.

2. Book on introduction to the programming language: 

Introduction to Programming in Java is a great resource, and it is being presented by one of the top universities in the world. With this book you can learn some quality stuff which is essential to the process of learning Java.

This is one of the most beginner friendly resources for learning Java, though it will sound like a little bit technical. Packed with images, samples, preview code and documentation this book can be of great help for any Java learner.

3. Online tutorial on Java: 


Interactive tutorials have also become an essential tool to teach you Java smoothly. This interactive tutorial is not that much technical, though, but at the beginning stage this help will be quite useful. Additionally, you'll get much help if you are able to load some code and test it practically.

4. A book to give you a harder tutorial: 

This book, Learn Java the Hard Way, doesn't come for free like the others. But it's again a great resouce and also user-friendly. So if you are ready to spend $20 for this book then you'll surely love this one. First 16 chapters of the book come free online. Click here to have a look.

5. Programming by Doing: 

This website has been designed by Learn Java the Hard Way publisher only and this site inspired the book also. You will find a lot of challenges which you don't require at the beginning stage of programming. But if you succeed through these challenges then your programming skills will get toughre and better. This is the absolute best way of learning Java.

6. Java for Beginners: 

You may like video content for better learning and it's actually a great idea to have a grasp on the essentials of any programming language including Java. It's a free Udemycourse which has already 100,000 students enrolled into it. Led by software engineer John Purcell you get 20 hours of content including total 70 lectures. There is also an in-built support system for asking questions.

7. CodingBat: 

The design may have a different impression on you from what actually it is. CodingBat(previously known as JavaBat) is one of the best ways to learn Java for free within your own browser in an interactive mode. This site offers interactive education but there are certain things which you might experience with CodingBat. CodingBat is like you can do whatever you know and pick from what you think you're capable of. There are plenty of tutorials given for each section and you can learn them quickly.

8. Beginners' Tutorials: 

The New Boston has a great collection of introductory videos for a lot of programming languages including that of Java. 80 step-by-steo videos could be found here which teach Java thoroughly. It's an increadibly useful resource for anyone who wants to learn Java from the basics with utmost determination. The comments will provide deep insight into the language.

9. Object-Oriented programming with Java: 

This is a University course which will be completed within 6 weeks. It's targeted for beginners and everything can be done within your browser. It has the best tutorials on how to install Java and other necessary tools. You will learn all the basics of computer programming, algorithms and object oriented programming using this language.

The second part of this course is another 6 weeks of programming. It means you will learn Java within 12-13 days and when you are done you will be able to build your own apps and will start thinking like a Java programmer.

10. Java Programming Exercises: 

This is another website which provides programming exercises designed for Java which contains answers to all the puzzles. It's important to practice otherwise Java is not easy to master. There are thirty exercises and never give up if you are not able to do.

We hope the resources, books and websites will help you a lot to become a Java developer or just build own apps as a hobby. Happy Java time!

Free Resources Everything About Algorithms!

Programmers have to know about algorithms and computational math. These things come in handy for a variety of purposes. In fact, most computer related professionals have something to do with this field. So, with that in mind, here are 16 of the best resources that we could find on algorithms.

1. Undergraduate and Introductory Graduate Courses on Algorithms: This is a compilation of links by Kirk Puhs, which will give you a lot of useful information on Algorithms.

2. A Computational Introduction to Number Theory and Algebra: This book, by Victor Shoup, contains all the basic concepts of computational number theory and algebra. It also includes the necessary mathematical background required.

3. Algorithms for programmers by Jörg Arndt: This is a pretty useful resource for those looking to learn about algorithms. Some of these will help beginners, while others will be suited for advanced students too.

4. Numerical Recipes in C and Fortran: This website contains various ebooks and allows you to read a particular number of pages for free every day. You can also get subscriptions for the books.

5. Numerical Methods lecture notes: These lecture notes by Stuart Dalziel will come in handy to anyone looking to gain knowledge in algorithms.

6. Algorithms and Complexity: Herbert S. Wilf's book on Algorithms and Complexity is another useful resource for understanding this topic.

7. East Side, West Side: These lecture notes by Herbert S. Wilf are useful in understanding "the generation of combinatorial objects and Maple programming that gets the job done."

8. Lecture Notes on Numerical Analysis: These lecture notes from Dennis Deturck and Herbert S. Wilf could be your ticket to becoming pros in algorithms.

9. Computer Algebra I and Computer Algebra II: Download these lecture notes by Joachim von zur Gathen and Jüergen Gerhard to your desktop and keep them there for whenever you need them.

10. The Stony Brook Algorithm Repository: Many have said that this book is all you need in order to understand combinatorial algorithms. Try it out!

13. An Annotated List of Selected NP - Complete Problems: This book is written by David Johnson, who also writes a column for the Journal of Algorithms.

14. A compendium of NP optimization problems: This compendium is a part of the bookComplexity and Approximation.

15. Various notes by Ragesh Jaiswal: This lecture contains the following topics: Algebraic Structures, Probability Basics, Number Theory, Randomized Algorithms, Factoring Algorithms.

16. Graph Theory: These lecture notes by Tero Harju deals with Graph theory. 

21 Free eBooks On Computer Mathematics Must Try !

1. Probabilistic Programming and Bayesian Methods for Hackers 
by Cameron Davidson-Pilon - GitHub, Inc., 2013
This book is designed as an introduction to Bayesian inference from a computational understanding-first, and mathematics-second, point of view. The book assumes no prior knowledge of Bayesian inference nor probabilistic programming.

2. Mathematics in the Age of the Turing Machine
by Thomas Hales - arXiv, 2013
Computers have rapidly become so pervasive in mathematics that future generations may look back to this day as a golden dawn. The article gives a survey of mathematical proofs that rely on computer calculations and formal proofs.

3. The Life of Pi: From Archimedes to Eniac and Beyond
by Jonathan M. Borwein - DocServer, 2010
The desire to understand Pi, the challenge, and originally the need, to calculate ever more accurate values of Pi, has challenged mathematicians for many many centuries, and Pi has provided compelling examples of computational mathematics.

4. Pictures of Julia and Mandelbrot Sets
- Wikibooks, 2010
The purpose of this book is to show how the computer can draw technically perfect pictures of Julia and Mandelbrot sets. All the necessary theory is explained and some words are said about how to put the things into a computer program.

5. Think Stats: Probability and Statistics for Programmers
by Allen B. Downey - Green Tea Press, 2011
Think Stats is an introduction to Probability and Statistics for Python programmers. This new book emphasizes simple techniques you can use to explore real data sets and answer interesting statistical questions. Basic skills in Python are assumed.

6. Isabelle/HOL: A Proof Assistant for Higher-Order Logic
by T. Nipkow, L.C. Paulson, M. Wenzel - Springer, 2010
This book is a self-contained introduction to interactive proof in higher-order logic, using the proof assistant Isabelle. It is a tutorial for potential users. The book has three parts: Elementary Techniques; Logic and Sets; Advanced Material.

7. Computer Algebra, Algorithms, Systems and Applications
by Richard Liska, at al. - Czech Technical University, 1996
From the table of contents: Introduction; Algorithms for algebraic computation; Integrated mathematical systems; Basic possibilities of integrated mathematical systems; Applications of computer algebra; Another sources of study.

8. Algorithms in Real Algebraic Geometry
by S. Basu, R. Pollack, M. Roy - Springer, 2009
The monograph gives a detailed exposition of the algorithmic real algebraic geometry. It is well written and will be useful both for beginners and for advanced readers, who work in real algebraic geometry or apply its methods in other fields.

9. Implementing Mathematics with The Nuprl Proof Development System
by R. L. Constable, at al. - Prentice Hall, 1986
The authors offer a tutorial on the new mathematical ideas which underlie their research. Many of the ideas in this book will be accessible to a well-trained undergraduate with a good background in mathematics and computer science.

10. Algorithmic Algebra
by Bhubaneswar Mishra - Courant Institute of Mathematical Sciences, 1993
The main purpose of the book is to acquaint advanced undergraduate and graduate students in computer science, engineering and mathematics with the algorithmic ideas in computer algebra so that they could do research in computational algebra.

11. An Architecture for Combinator Graph Reduction
by Philip J. Koopman, Jr. - Academic Press, 1990
The results of cache-simulation experiments with an abstract machine for reducing combinator graphs are presented. The abstract machine, called TIGRE, exhibits reduction rates that compare favorably with previously reported techniques.

12. Strange Attractors: Creating Patterns in Chaos
by Julien C. Sprott - M & T Books, 2000
Chaos and fractals have revolutionized our view of the world. This book shows examples of the artistic beauty that can arise from very simple equations, and teaches the reader how to produce an endless variety of such patterns.

13. Art Gallery Theorems and Algorithms
by Joseph O'Rourke - Oxford University Press, 1987
Art gallery theorems and algorithms are so called because they relate to problems involving the visibility of geometrical shapes and their internal surfaces. This book explores generalizations and specializations in these areas.

14. Axiom: The Scientific Computation System
by Richard D. Jenks, Robert S. Sutor - axiom-developer.org, 2003
Axiom is a free general purpose computer algebra system. The book gives a technical introduction to AXIOM, interacts with the system's tutorial, accesses algorithms developed by the symbolic computation community, and presents advanced techniques.

15. The Golden E-Book of Graphs of Mathematical Functions
by E. Pérez, 2008
This ebook is a visual introduction to the field of transcomplex numbers and an implicit comparison with the real surfaces counterpart. The reader is assumed to be a little related with the topics of graphing plane curves and surfaces.

16. Mathematics for Computer Scientists
by Gareth J. Janacek, Mark L. Close - BookBoon, 2008
In this textbook you will find the basic mathematics needed by computer scientists. It should help you to understand the meaning of mathematical concepts. Subjects as elementary logic, factorization, plotting functions and matrices are explained.

17. Mathematical Illustrations: A Manual of Geometry and PostScript
by Bill Casselman - Cambridge University Press, 2005
The author gives an introduction to basic features of the PostScript language and shows how to use it for producing mathematical graphics. The book includes the discussion computer graphics and some comments on good style in mathematical illustration.

18. Mathematics for Algorithm and Systems Analysis
by Edward A. Bender, S. Gill Williamson - Dover Publications, 2005
This text assists undergraduates in mastering the mathematical language to address problems in the field's many applications. It consists of 4 units: counting and listing, functions, decision trees and recursion, and basic concepts of graph theory.

19. Vector Math for 3D Computer Graphics
by Bradley Kjell - Central Connecticut State University, 2003
A text on vector and matrix algebra from the viewpoint of computer graphics. It covers most vector and matrix topics needed for college-level computer graphics text books. Useful to computer science students interested in game programming.

20. Algorithmic Mathematics
by Leonard Soicher, Franco Vivaldi, 2004
This text is a course in mathematical algorithms, intended for second year mathematics students. It introduces the algorithms for computing with integers, polynomials and vector spaces. The course requires no computing experience.

21. A Computational Introduction to Number Theory and Algebra
by Victor Shoup - Cambridge University Press, 2005
This introductory book emphasises algorithms and applications, such as cryptography and error correcting codes. It is accessible to a broad audience. Prerequisites are a typical undergraduate course in calculus and some experience in doing proofs.