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.

    The book teaches MATLAB as a technical programming language showing students how to write clean, efficient, and well-documented programs. It makes no pretense at being a complete description of all of MATLAB's hundreds of functions. Instead, it teaches students how to locate any desired function with MATLAB's extensive on line help facilities. Overall, students develop problem-solving skills and are equipped for future courses and careers using the power of MATLAB.

    But understanding how Linux containers fit into your workflow--and getting the integration details right--are not trivial tasks. With this practical guide, you'll learn how to use Docker to package your applications with all of their dependencies, and then test, ship, scale, and support your containers in production.Two Lead Site Reliability Engineers at New Relic share much of what they have learned from using Docker in production since shortly after its initial release. Their goal is to help you reap the benefits of this technology while avoiding the many setbacks they experienced.Learn how Docker simplifies dependency management and deployment workflow for your applicationsStart working with Docker images, containers, and command line toolsUse practical techniques to deploy and test Docker-based Linux containers in productionDebug containers by understanding their composition and internal processesDeploy production containers at scale inside your data center or cloud environmentExplore advanced Docker topics, including deployment tools, networking, orchestration, security, and configuration

    Students. It has been a national best-seller for more than 30 years. A lot of things have changed since them. We have also changed with every edition so that 30 years. This was the first book on the subject to be adopted by the National Book Trust of India (NBT). This text is especially written with these students in mind. The language is simple, explanations clear, and presentation very systematic. Concepts that usually confuse the students are explained in a step-by-step manner. Our commitment to quality is total! Table Of Contents: Intro | Structure of Organic Molecules | Organic Reaction Mechanims | Organic Reaction Mechanisms | Isomerism and Stereochemistry | Spectroscopy | Alkanes | Cycloalkanes | Petroleum, Petrochemicals and Alternative Fuels | Alkenes and Dienes | Alkynes | alkyl Halides | Organometallic Compunds | Alcohols | Polyhydric Alcohols| Polyhydric alcohols | Ethers and Epoxides | Thiols and Thiothers | Aldehyde Methylene Compounds | Lipids | Cyan Compounds | Derivatives of Carbonic Acids | Nitroalkanes, Diazoalkanes and Azides| much more...

    Not only does this Bible give you a quick refresher on the structure of open-source Linux software, it also shows you how to bypass the hefty graphical user interface on Linux systems and start interacting the fast and efficient way?with command lines and automated scripts. You'll learn how to manage files on the filesystem, start and stop programs, use databases, even do Web programming?without a GUI?with this one-stop resource.

    The book teaches a range of design and analysis techniques for problems that arise in computing applications. The text encourages an understanding of the algorithm design process and an appreciation of the role of algorithms in the broader field of computer science.

    Servers give sysadmins a incredible visibility into the network—once they know how to unlock it. Most sysadmins don’t need to understand window scaling, or the differences between IPv4 and IPv6 echo requests, or other intricacies of the TCP/IP protocols. You need only enough to deploy your own applications and get easy support from the network team.This book teaches you:•How modern networks really work•The essentials of TCP/IP•The next-generation protocol, IPv6•The right tools to diagnose network problems, and how to use them•Troubleshooting everything from the physical wire to DNS•How to see the traffic you send and receive•Connectivity testing•How to communicate with your network team to quickly resolve problemsA systems administrator doesn’t need to know the innards of TCP/IP, but knowing enough to diagnose your own network issues transforms a good sysadmin into a great one.

    She wants to make a successful career, prove herself to the world and has no time for love. Abhi is a lower-middle-class guy who is looking for a promising career too but he believes in love. He wants to live every portion of his life. He doesn't want to regret later. But then comes a point where he found out that his life is not the same when he meets Aparna. For Aparna, Abhi is a good friend but for Abhi, she is more than that. She is his everything now. And, It's time for him to tell her that before they leave each other to follow their career. He struggles, struggles a lot but opens his heart out to her. They move ahead with their life away from each other for another four years, not a small-time for anyone to wait for each other. Will they meet again, will they find someone else, will they be able to know what is love and what is a relationship, will they stand by each other or will someone else stand by them? Read the story of two individuals who will bring romance, emotion, and struggle and tell you what is love.

    A BOOK OF MICROECONOMICS.

    The book will teach you about:* Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data* Deep learning, a powerful set of techniques for learning in neural networksNeural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you the core concepts behind neural networks and deep learning.

    By the end of the book, you'll understand how to develop a large, maintainable, and performant application with AngularJS.Guided by two engineers who worked on AngularJS at Google, you'll learn the components needed to build data-driven applications, using declarative programming and the Model-view-controller pattern. You'll also learn how to conduct unit tests on each part of your application.Learn how to use controllers for moving data to and from viewsUnderstand when to use AngularJS services instead of controllersCommunicate with the server to store, fetch, and update data asynchronouslyKnow when to use AngularJS filters for converting data and values to different formatsImplement single-page applications, using ngRoute to select views and navigationDive into basic and advanced directives for creating reusable componentsWrite an end-to-end test on a live version of your entire applicationUse best practices, guidelines, and tools throughout the development cycle

    

    

    CLINICAL NURSING PROCEDURES: THE ART OF NURSING PRACTICE by JACOB ANNAMMA, 9789351525332

    This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance.Using practical examples through the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks, with topics that include:Fundamentals: Python data structures, NumPy array handling, time series analysis with pandas, visualization with matplotlib, high performance I/O operations with PyTables, date/time information handling, and selected best practicesFinancial topics: mathematical techniques with NumPy, SciPy and SymPy such as regression and optimization; stochastics for Monte Carlo simulation, Value-at-Risk, and Credit-Value-at-Risk calculations; statistics for normality tests, mean-variance portfolio optimization, principal component analysis (PCA), and Bayesian regressionSpecial topics: performance Python for financial algorithms, such as vectorization and parallelization, integrating Python with Excel, and building financial applications based on Web technologies