The book discusses many methods that have their bases in different fields: statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, and data mining. In the past, research in these different communities followed different paths with different emphases. In this book, the aim is to incorporate them together to give a unified treatment of the problems and the proposed solutions to them.
The Internet of Things can be characterized as joining the physical object, the computer embedded into it, and communication and code on the Internet itself. We focus on these three elements in both the prototyping and the manufacturing sections. I began by looking at some examples of the Internet of Things in action.
Throughout the book, I discuss many REAL LIFE projects, i have tried to cover introduction, implementation of IoT using Andino and RASPBERRY PI along with suitable Case Studies. In this book we look at the kinds of computer chips that can be embedded in objects (“microcontrollers” such as the Arduino) and take you through each step of the process from prototyping a Thing to manufacturing and selling it. We explore the platforms you can use to develop the hardware and software.
The objective of this book is to provide a firm grounding in laying out a strategy for adopting big data techniques. It is meant to provide an overview of what big data is and why it can add value, what types of problems are suited to a big data approach, and how to properly plan to determine the need, align the right people in the organization, and develop a strategic plan for integration.
On the other hand, this book is not meant as a “how-to” for big data application development, MapReduce programming, or implementing Hadoop. Rather, my intent is to provide an overview within each chapter that addresses some pertinent aspect of the ecosystem or the process of adopting big data:
What is presented in this book is a culmination of years of experience in projects and programs associated with best practices in employing data management tools, techniques, processes, and working with people. A number of my ex-students & industry professionals are key contributors to the development of this book, and I take this opportunity to thank them for their support.
The fundamental concepts and algorithms covered in the book are often based on those used in both commercial and open-source operating systems. My aim is to present these concepts and algorithms in a general setting that is, not tied to one particular operating system.
However, i present a large number of examples that pertain to the most popular and the most innovative operating systems, including Linux, Microsoft Windows, Apple Mac OS X, and Solaris and Android also. The organization of the text reflects my many years of teaching courses on operating systems. Consideration was also given to the feedback provided by the reviewers of the text, along with the many comments and suggestions i received from readers of our previous editions and from our current and former students. The book, which provides a detailed overview of the Operating System, has been carefully designed so that a reader who is not familiar with details of computer architecture can start from scratch with ease. Every next chapter provides a very lucid and comprehensive introduction to the functioning of OS from inside. I believe that this understanding is crucial for a better appreciation of this book.
However, for the reading of the book, no specific sequence is needed for reading, since the various topics covered are that independent in nature, and the reader can grasp them depending on how the book is designed or also depending on what he/she exactly wants to know.
We have tried for it to be the easiest book from which you can learn the Cloud Computing. We chose the topics for this book to cover what is needed to get started with Cloud Computing, not just what is easy to teach and learn. On the other hand, we wont waste your time with material of marginal practical importance. If an idea is explained here, its because youll almost certainly need it. This book is emphatically focused on the concept. Understanding the fundamental ideas, principles, and techniques is the essence of a good implementation of cloud computing. Through this book, we hope that you will see the absolute necessity of understanding Cloud Computing.
Our fundamental assumption is that you wish to write programs for the use of others; hence, providing a decent level of system quality to achieve a level of professionalism becomes necessary. Consequently, the topics here dealt with is what one shall need in order to get started with real-world programming, and not just what is easy to teach and learn. Rest assured, there shall not be any wastage of ones time with material of marginal practical importance. If an idea is explained here, chances are, its because one is likely to come in need of it. This book emphatically focuses on the syntax of C++. Understanding the fundamental ideas, principles, and techniques is the essence of a good programmer. Only a well-designed code stands any chance of becoming part of a correct, reliable, and maintainable system. Through this book, we hope that you will see the absolute necessity of understanding OOP with C++.
This book explains various concepts of data science in a structured manner with the application of these concepts on data to see how to interpret results. The book provides a good base for understanding the advanced topics of data science and how to apply them in a real-world scenario.
■ To provide a sound understanding of the fundamental concepts and historical evolution of the object model.
■ To facilitate a mastery of the notation and process of object-oriented modelling and design.
■ To teach the realistic application of object-oriented modelling and design within a variety of problem domains.
The concepts presented all stand on a solid theoretical foundation, but this is primarily a pragmatic book that addresses the practical needs and concerns of software engineering practitioners, from the architect to the software developer.
This text is an introduction to the complex world of the UNIX Operating System. Here, you will find information about several aspects of working with UNIX, from simple personal tasks to shell programming and system administration.
UNIX is a powerful and ever-evolving system, which is now available in variants designed for every hardware platform and with configurations to suit any preferences or needs. It powers much of the world’s academic and business information technology, and is increasingly popular for home networks and machines.
You may find UNIX intimidating, especially if you have not worked with text-based operating systems before. Although it might be unfamiliar territory, explore the systems available to you and practice the various commands you see in this book or find elsewhere. You will come to see that, although the user interface can initially be uncomfortable, working with Unix is much like working on any other operating system: especially if you are working on a Unix installation which offers a graphical user interface.
The book is therefore a culmination of putting together what has been both practiced as well as preached, which is the one of the most compelling differentiators for this book.
It can also be used for independent study by anyone interested in getting a broad introduction to a core useful set of the python language.
Python For Learners provides all essential programming concepts and information one shall need in order to start developing their own Python program. The book provides a comprehensive walk-through of Python programming in a clear, straightforward manner that beginners will appreciate.
Important concepts are introduced through a step-by-step discussion and reinforced by relevant examples and illustrations. This book can be used as a guide to help explore, harness, and gain appreciation of the capabilities and features of Python.
My approach in this book is to regard python as a language that readers will want to use as a primary tool in many different areas of their programming work - not just for creating programs with graphical content. Nevertheless, i recognize that visual examples are much more fun to create and work with.
This book is a close-to-complete presentation of the Python language. It is oriented toward learning, which involves accumulating many closely intertwined concepts. In our experience teaching, coaching and doing programming, there is an upper limit on the clue absorption rate. In order to keep within this limit, i have found that it helps to present a language as ever-expanding layers. Well lead you from a very tiny, easy to understand subset of statements to the entire Python language and all of the built-in data structures.
● Ajit Singh
My approach in this book is to regard DBMS as a concept that readers will want to use as a primary tool in many different areas of their programming work - not just for creating applications.
Through this book I hope that you will see the absolute necessity of understanding which data structure or algorithm to use for a certain scenario. In all projects, especially those that are concerned with performance (here we apply an even greater emphasis on real-time systems) the selection of the wrong data structure or algorithm can be the cause of a great deal of performance pain.
Our approach in this book is to regard Java as a language that readers will want to use as a primary tool in many different areas of their programming work - not just for creating programs with graphical content within Web pages. For this reason, in the early chapters we have avoided an emphasis on creating applets and GUI-based programs. While being able to create GUI-based programs is superficially attractive, the language concepts required to create them properly are, in fact, quite advanced. Nevertheless, we recognize that visual examples are much more fun to create and work with.