Ebooks

“One of the first questions we ask ourselves for each of our project implementations is “Which development methodology should we use?” This is a topic that gets a lot of discussion as it’s the way of organizing the work for the project and not as often misinterpreted about a style of project management or a specific technical approach. The two basic and most popular methodologies are: 1.Waterfall: which is known as the “traditional” approach, and 2.Agile: a specific type of Rapid Application Development and newer than Waterfall, but not that new, which is often implemented using Scrum. Both are usable, mature methodologies. Lately Agile and especially Scrum have become more and more popular. A lot of people in higher management see the agile way of working as the key to success. But is this actually true? Have we found the silver bullet? Can every individual work in an agile way? If yes, does this mean that the team that he is part of will also adopt and use the agile way of working and thinking successfully? All those questions triggered this research. I started by providing basic information about both methodologies (Waterfall and Agile). I try to make the differences between the two methodologies visible and by giving more emphasis to the second one i present the history behind the methodology, the advantages and disadvantages and i try to come to a conclusion on what is agile and what is not. Next, at section two i briefly present the basic Agile Methods and Practices. I continue with section 3, that i explain Scrum and all the ceremonies and roles related to this methodology.
IoT edge computing is significantly different from non-IoT edge computing, with distinct demands and considerations. IoT devices typically have limited data processing and storage capabilities, so substantial data processing needs to occur off the device, with the edge offering an environment to undertake this processing and manage large volumes of IoT devices and data. This in turn can reduce device cost, as many functions can be off-loaded to the edge. The location of the edge itself has various possibilities and will differ according to the use case. For example, the edge for IoT could reside at an operators local or regional data centre, at a base station or at a dedicated server on the customers premises. IoT market analysts expect the edge to play a significant role in supporting IoT implementations going forward, as it creates efficiencies and scale in networks that makes IoT deployments more self-sustaining. IDC (International Data Corporation) estimate that that by 2022, IT spending on edge infrastructure will reach up to 18 percent of the total spend on IoT infrastructure. Mobile operators have the demonstrable capability to manage infrastructure, data and applications for IoT services, and are well placed to continue this with edge for IoT. This book facilitates and features the Edge Computing with respect to Mobile, IoT and IIoT technologies. I tried to cover from evolution, architecture, implementation and standard role of IoT. All the things are covered along with in depth industrys real-life and practical use cases. This book is also aimed to the curriculum of the Edge Computing of prominent Universities / Institution of the World.
This text is an introduction to the complex and emerging world of the Parallel Computing. It helps you understand the principles and acquire the practical skills of MPI programming using the C/FORTAN programming language. Our aim is for you to gain sufficient knowledge and experience to perform simple useful programming tasks using the best up-to-date techniques and so we hope for it to be the easiest book from which you can learn the basics of MPI programming. This text is an introduction to the emerging world of the Parallel Computing. It helps you understand the principles, algorithm & implementation of Parallel Computing. Our aim is for you to gain sufficient knowledge and experience with Parallel Computing using the best up-to-date techniques. We have tried for it to be the easiest book from which you can learn the Parallel Computing. We chose the topics for this book to cover what is needed to get started with Parallel 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 programmer. Only well-designed code has a chance of becoming part of a correct, reliable, and maintainable parallel system. Through this book, we hope that you will see the absolute necessity of understanding Parallel Computing.
Concepts are presented using intuitive descriptions. Important theoretical results are covered, but formal proofs are largely omitted. In place of proofs, figures and examples are used to suggest why we should expect the result in question to be true.


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.

This text is an introduction to the world of the python. This book encapsulates rich practical hands-on experience in developing python based applications, combined with teaching the subject for graduate/post-graduate students.


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

This book argues, against the current view, that competitiveness--that is, the competitiveness of the manufacturing sector--matters to the long-term health of the U.S. economy and particularly to its long-term capacity to raise the standard of living of its citizens. The book challenges the arguments popularized most recently by Paul Krugman that
competitiveness is a dangerous obsession that distracts us from the question most central to solving the problem of stagnant real income growth, namely, what causes productivity growth, especially in the service sector.
The central argument is that, if the U.S. economy is to achieve full employment with rising real wages, it is necessary to enhance the competitiveness of its tradable goods sector. The book shows that current account deficits cannot be explained by macroeconomic mismanagement but are rather the consequence of an uncompetitive manufacturing sector. It finds that the long-term health of the manufacturing sector requires not only across-the-board policies to remedy problems of low or inefficient investment, but also sectoral policies to address problems that are strategic to resolving the balance of payments problems. Lessons are drawn from the experience of some European and Asian countries.
This book will be of interest to economists, political scientists, and business researchers concerned with the place of the manufacturing sector in overall health of the U.S. economy, with issues of industrial policy and industrial restructuring, and with the conditions for rising standards of living.
Candace Howes is Associate Professor, Barbara Hogate Ferrin Chair, Connecticut College. Ajit Singh is Professor of Economics, Queens College, Cambridge.
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