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Peter Seibel interviews 15 of the most interesting computer programmers alive today in Coders at Work, offering a companion volume to Apress’s highly acclaimed best-seller Founders at Work by Jessica Livingston. As the words “at work” suggest, Peter Seibel focuses on how his interviewees tackle the day-to-day work of programming, while revealing much more, like how they became great programmers, how they recognize programming talent in others, and what kinds of problems they find most interesting.

Hundreds of people have suggested names of programmers to interview on the Coders at Work web site: www.codersatwork.com. The complete list was 284 names. Having digested everyone’s feedback, we selected 15 folks who’ve been kind enough to agree to be interviewed:

Frances Allen: Pioneer in optimizing compilers, first woman to win the Turing Award (2006) and first female IBM fellow Joe Armstrong: Inventor of Erlang Joshua Bloch: Author of the Java collections framework, now at Google Bernie Cosell: One of the main software guys behind the original ARPANET IMPs and a master debugger Douglas Crockford: JSON founder, JavaScript architect at Yahoo! L. Peter Deutsch: Author of Ghostscript, implementer of Smalltalk-80 at Xerox PARC and Lisp 1.5 on PDP-1 Brendan Eich: Inventor of JavaScript, CTO of the Mozilla Corporation Brad Fitzpatrick: Writer of LiveJournal, OpenID, memcached, and Perlbal Dan Ingalls: Smalltalk implementor and designer Simon Peyton Jones: Coinventor of Haskell and lead designer of Glasgow Haskell Compiler Donald Knuth: Author of The Art of Computer Programming and creator of TeX Peter Norvig: Director of Research at Google and author of the standard text on AI Guy Steele: Coinventor of Scheme and part of the Common Lisp Gang of Five, currently working on Fortress Ken Thompson: Inventor of UNIX Jamie Zawinski: Author of XEmacs and early Netscape/Mozilla hacker What you’ll learnHow the best programmers in the world do their jobs! Who this book is for

Programmers interested in the point of view of leaders in the field. Programmers looking for approaches that work for some of these outstanding programmers.

Table of Contents Jamie Zawinski Brad Fitzpatrick Douglas Crockford Brendan Eich Joshua Bloch Joe Armstrong Simon Peyton Jones Peter Norvig Guy Steele Dan Ingalls L Peter Deutsch Ken Thompson Fran Allen Bernie Cosell Donald Knuth
Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.

But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.

Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet.

Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype.

But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.

Each chapter will cover a different technique in a spreadsheet so you can follow along:

Mathematical optimization, including non-linear programming and genetic algorithms Clustering via k-means, spherical k-means, and graph modularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, and bag-of-words models Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation Moving from spreadsheets into the R programming language

You get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

An expert offers a set of rules that will help managers achieve dramatic improvements in operations performance.

In recent years, management gurus have urged businesses to adopt such strategies as just-in-time, lean manufacturing, offshoring, and frequent deliveries to retail outlets. But today, these much-touted strategies may be risky. Global financial turmoil, rising labor costs in developing countries, and huge volatility in the price of oil and other commodities can disrupt a company's entire supply chain and threaten its ability to compete. In Operations Rules, David Simchi-Levi identifies the crucial element in a company's success: the link between the value it provides its customers and its operations strategies. And he offers a set of scientifically and empirically based rules that management can follow to achieve a quantum leap in operations performance.

Flexibility, says Simchi-Levi, is the single most important capability that allows firms to innovate in their operations and supply chain strategies. A small investment in flexibility can achieve almost all the benefits of full flexibility. And successful companies do not all pursue the same strategies. Amazon and Wal-Mart, for example, are direct competitors but each focuses on a different market channel and provides a unique customer value proposition—Amazon, large selection and reliable fulfillment; Wal-Mart, low prices—that directly aligns with its operations strategy. Simchi-Levi's rules—regarding such issues as channels, price, product characteristics, value-added service, procurement strategy, and information technolog—-transform operations and supply chain management from an undertaking based on gut feeling and anecdotes to a science.

To most companies, efficiency means profits and growth. But what if your “efficient” company—the one with the reduced headcount and the “stretch” goals—is actually slowing down and losing money? What if your employees are burning out doing the work of two or more people, leaving them no time for planning, prioritizing, or even lunch? What if you’re losing employees faster than you can hire them? What if your superefficient company is suddenly falling behind?

Tom DeMarco, a leading management consultant to both Fortune 500 and up-and-coming companies, has discovered a counterintuitive principle that explains why efficiency improvement can sometimes make a company slow. If your real organizational goal is to become fast (responsive and agile), then he proposes that what you need is not more efficiency, but more slack.

What is “slack”? Slack is the degree of freedom in a company that allows it to change. It could be something as simple as adding an assistant to a department, letting high-priced talent spend less time at the photo copier and more time making key decisions. Slack could also appear in the way a company treats employees: instead of loading them up with overwork, a company designed with slack allows its people room to breathe, increase effectiveness, and reinvent themselves.

In thirty—three short chapters filled with creative learning tools and charts, you and your company can learn how to:

∑make sense of the Efficiency/Flexibility quandary

∑run directly toward risk instead of away from it

∑strengthen the creative role of middle management

∑make change and growth work together for even greater profits

A innovative approach that works for new- and old-economy companies alike, this revolutionary handbook will debunk commonly held assumptions about real-world management, and give you and your company a brand-new model for achieving and maintaining true effectiveness—and a healthier bottom line.
Create powerful data visualizations and unlock intelligent business insights with TableauKey FeaturesExplore all the latest Tableau 2019 features and redefine business analytics for your organizationCreate impressive data visualizations and interactive dashboards to get insights from your dataLearn effective data storytelling to transform how your business leverages data and makes decisionsBook Description

Tableau is the gold standard of business intelligence and visual analytics tools in every industry. It enables rapid data visualization and interpretation with charts, graphs, dashboards, and much more. Updated with the latest features of Tableau, this book takes you from the foundations of the Tableau 2019 paradigm through to advanced topics.

This third edition of the bestselling guide by Tableau Zen Master, Joshua Milligan, will help you come to grips with updated features, such as set actions and transparent views. Beginning with installation, you'll create your first visualizations with Tableau and then explore practical examples and advanced techniques. You'll create bar charts, tree maps, scatterplots, time series, and a variety of other visualizations. Next, you'll discover techniques to overcome challenges presented by data structure and quality and engage in effective data storytelling and decision making with business critical information. Finally, you'll be introduced to Tableau Prep, and learn how to use it to integrate and shape data for analysis.

By the end of this book, you will be equipped to leverage the powerful features of Tableau 2019 for decision making.

What you will learnDevelop stunning visualizations that explain complexity with clarityExplore the exciting new features of Tableau Desktop and Tableau PrepConnect to various data sources to bring all your data togetherUncover techniques to prep and structure your data for easy analysisCreate and use calculations to solve problems and enrich analyticsMaster advanced topics such as sets, LOD calcs, and much moreEnable smart decisions with clustering, distribution, and forecastingShare your data stories to build a culture of trust and actionWho this book is for

This Tableau book is for anyone who wants to understand data. If you’re new to Tableau, don’t worry. This book builds on the foundations to help you understand how Tableau really works and then builds on that knowledge with practical examples before moving on to advanced techniques. Working experience with databases will be useful but is not necessary to get the most out of this book.

Today, time is the cutting edge. In fact, as a strategic weapon, contend George Stalk, Jr., and Thomas M. Hout, time is the equivalent of money, productivity, quality, even innovation. In this path-breaking book based upon ten years of research, the authors argue that the ways leading companies manage time—in production, in new product development, and in sales and distribution—represent the most powerful new sources of competitive advantage.
With many detailed examples from companies that have put time-based strategies in place, such as Federal Express, Ford, Milliken, Honda, Deere, Toyota, Sun Microsystems, Wal-Mart, Citicorp, Harley-Davidson, and Mitsubishi, the authors describe exactly how reducing elapsed time can make the critical difference between success and failure. Give customers what they want when they want it, or the competition will. Time-based companies are offering greater varieties of products and services, at lower costs, and with quicker delivery times than their more pedestrian competitors. Moreover, the authors show that by refocusing their organizations on responsiveness, companies are discovering that long-held assumptions about the behavior of costs and customers are not true: Costs do not increase when lead times are reduced; they decline. Costs do not increase with greater investment in quality; they decrease. Costs do not go up when product variety is increased and response time is decreased; they go down. And contrary to a commonly held belief that customer demand would be only marginally improved by expanded product choice and better responsiveness, the authors show that the actual results have been an explosion in the demand for the product or service of a time-sensitive competitor, in most cases catapulting it into the most profitable segments of its markets.
With persuasive evidence, Stalk and Hout document that time consumption, like cost, is quantifiable and therefore manageable. Today's new-generation companies recognize time as the fourth dimension of competitiveness and, as a result, operate with flexible manufacturing and rapid-response systems, and place extraordinary emphasis on R&D and innovation. Factories are close to the customers they serve. Organizations are structured to produce fast responses rather than low costs and control. Companies concentrate on reducing if not eliminating delays and using their response advantage to attract the most profitable customers.
Stalk and Hout conclude that virtually all businesses can use time as a competitive weapon. In industry after industry, they illustrate the processes involved in becoming a time-based competitor and the ways managers can open and sustain a significant advantage over the competition.
Corporations spend millions of dollars on performance improvement, employee training and development, work system redesign, and other organizational improvement efforts. Much of this money is wasted because the preliminary analysis and diagnosis has not been done to link these programs to an organization's real business needs, goals, and processes.

The truth is that in order for any performance improvement effort to add value to the organization, deep analysis is required. Analysis for Improving Performance details a systematic approach for doing the rigorous preparatory analysis that is vital to shaping and developing successful performance improvement efforts.

Richard A. Swanson's methods enable program developers and managers to define clear objectives, assess existing systems and missions, analyze worker knowledge and expertise, define desired performance and evaluation standards, and develop a performance improvement plan that will meet the desired performance goals.

This new edition has been extensively revised throughout and presents expanded concepts and updated cases, as well as a new chapter on documenting and improving work processes and documenting process-referenced tasks. Written for take-charge managers, performance improvement specialists, and workers wanting to improve their organizations, Analysis for Improving Performance provides “real-world” knowledge, tools, examples, graphics, and exercises aimed at developing your expertise in diagnosing organizational performance and documenting workplace expertise—the keys to long-term organizational success. In short, it is a complete guide to ensuring that the time, money, and effort you invest in organizational development are well spent.
In his best-selling book Japanese Manufacturing Techniques, Richard J. Schonberger revolutionized American manufacturing theory and, more important, practice. In that breakthrough book, he revealed that Japanese manufacturing excellence was not culturally bound. Offering the first demystified explanation of the simple techniques that fueled Japan's industrial success, he demonstrated how the same methods could be put to work as effectively in U.S. plants.

Now, in World Class Manufacturing, Schonberger returns to tell the success stories of nearly 100 American corporations -- including Hewlett-Packard, Harley-Davidson, General Motors, Honeywell, and Uniroyal -- that have adopted the famed just-in-time production and "total quality control" strategies. Based on his firsthand experience as a major consultant to American industry, he examines how they did it -- and illustrates how the same concrete, specific steps used by these top companies can be implemented in any factory today. What's more, Schonberger shows that his bold concepts and reforms apply equally to all industries, whether the product is computers, pasta, or trucks, and to all divisions -- from manufacturing and engineering to accounting and marketing.

According to Schonberger, world-class manufacturing depends on blended management -- rather than domination by a separate group of managers -- which marshalls resources for continual rapid improvement. To achieve world-class status, companies must change procedures and concepts, which in turn leads to recasting relations among suppliers, purchasers, producers, and customers. Acknowledging the difficulty inherent in such changes, Schonberger stresses that employee involvement and interaction, both on the shop floor and in the decision-making/problem-solving process, is key. Wary of those who view improvement in terms of modernizing equipment, he points out that making maximum use of people and current machinery is a company's first priority; automation, if necessary, should come much later.

World Class Manufacturing also includes Schonberger's 17-point action agenda to guide innovators toward manufacturing excellence, from getting to know the customer to cutting the number of suppliers, reducing error in production, and deciding when and how to automate.

Indispensable for all manufacturing innovators who aim to keep ahead of the competition, this inspiring, groundbreaking volume does much more than just recommend or theorize about the new manufacturing approach. Plainly, realistically, and logically, it explains how it's done.
Most researchers in organization and management studies stick to two or three traditional research methods like surveys and interviews. Sticking with the familiar is seen as a safe bet, and innovation is discouraged by academic incentives and rewards. But research participants are now suffering from 'survey fatigue', and using the same old methods runs the risk of generating the same old findings. This book describes twelve unconventional methodologies in organization and management research. These include unconventional research settings and data sources, unconventional research designs and data collection methods, unconventional analytic approaches, and designs and methods that exploit new technology developments. The aim is to encourage dialogue and experimentation with regard to the development of innovative, unconventional approaches to organization and management research. Several commentators have criticized the way in which research methods have become more formulaic, and have argued for greater diversity in research approaches. The methodological perspective that the we adopt shapes our interpretation of the information that we gather. Different methods generate different kinds of information, leading to different ways of understanding the phenomena that we are investigating. Our methods influence our styles of theorizing, ways of thinking and reasoning, and forms of writing and reporting research. This book will be of value to academic researchers in organization and management studies, Doctoral candidates, and Masters students on MBA and similar programmes.
Accelerate your enterprise search engine and bring relevancy in your search analyticsKey FeaturesA practical guide in building expertise with Indexing, Faceting, Clustering and PaginationMaster the management and administration of Enterprise Search Applications and services seamlesslyHandle multiple data inputs such as JSON, xml, pdf, doc, xls,ppt, csv and much more. Book Description

Apache Solr is the only standalone enterprise search server with a REST-like application interface. providing highly scalable, distributed search and index replication for many of the world's largest internet sites.

To begin with, you would be introduced to how you perform full text search, multiple filter search, perform dynamic clustering and so on helping you to brush up the basics of Apache Solr. You will also explore the new features and advanced options released in Apache Solr 7.x which will get you numerous performance aspects and making data investigation simpler, easier and powerful. You will learn to build complex queries, extensive filters and how are they compiled in your system to bring relevance in your search tools. You will learn to carry out Solr scoring, elements affecting the document score and how you can optimize or tune the score for the application at hand. You will learn to extract features of documents, writing complex queries in re-ranking the documents. You will also learn advanced options helping you to know what content is indexed and how the extracted content is indexed. Throughout the book, you would go through complex problems with solutions along with varied approaches to tackle your business needs.

By the end of this book, you will gain advanced proficiency to build out-of-box smart search solutions for your enterprise demands.

What you will learnDesign schema using schema API to access data in the databaseAdvance querying and fine-tuning techniques for better performanceGet to grips with indexing using Client APISet up a fault tolerant and highly available server with newer distributed capabilities, SolrCloudExplore Apache Tika to upload data with Solr CellUnderstand different data operations that can be done while indexingMaster advanced querying through Velocity Search UI, faceting and Query Re-ranking, pagination and spatial searchLearn to use JavaScript, Python, SolrJ and Ruby for interacting with SolrWho this book is for

The book would rightly appeal to developers, software engineers, data engineers and database architects who are building or seeking to build enterprise-wide effective search engines for business intelligence. Prior experience of Apache Solr or Java programming is must to take the best of this book.

Create innovative informatics solutions with TIBCO SpotfireKey FeaturesGet to grips with a variety of TIBCO Spotfire features to create professional applicationsUse different data and visualization techniques to build interactive analyses.Simplify BI processes and understand data analysis and visualizationBook Description

The need for agile business intelligence (BI) is growing daily, and TIBCO Spotfire® combines self-service features with essential enterprise governance and scaling capabilities to provide best-practice analytics solutions. Spotfire is easy and intuitive to use and is a rewarding environment for all BI users and analytics developers.

Starting with data and visualization concepts, this book takes you on a journey through increasingly advanced topics to help you work toward becoming a professional analytics solution provider. Examples of analyzing real-world data are used to illustrate how to work with Spotfire. Once you've covered the AI-driven recommendations engine, you'll move on to understanding Spotfire's rich suite of visualizations and when, why and how you should use each of them. In later chapters, you'll work with location analytics, advanced analytics using TIBCO Enterprise Runtime for R®, how to decide whether to use in-database or in-memory analytics, and how to work with streaming (live) data in Spotfire. You'll also explore key product integrations that significantly enhance Spotfire's capabilities.This book will enable you to exploit the advantages of the Spotfire serve topology and learn how to make practical use of scheduling and routing rules.

By the end of this book, you will have learned how to build and use powerful analytics dashboards and applications, perform spatial analytics, and be able to administer your Spotfire environment efficiently

What you will learnWork with Spotfire on its web, Cloud, PC, Mac and mobile clientsDeploy Spotfire's suite of visualization types effectively and intelligentlyBuild user-friendly analytics frameworks and analytics applicationsExplore Spotfire's predictive analytics capabilitiesUse Spotfire's location analytics capabilities to create interactive spatial analysesWrite IronPython scripts with the Spotfire APILearn the different ways Spotfire can be deployed and administeredWho this book is for

If you are a business intelligence or data professional, this book will give you a solid grounding in the use of TIBCO Spotfire. This book requires no prior knowledge of Spotfire or any basic data and visualization concepts.

From the Foreword:

"[This book] provides a comprehensive overview of the fundamental concepts in healthcare process management as well as some advanced topics in the cutting-edge research of the closely related areas. This book is ideal for graduate students and practitioners who want to build the foundations and develop novel contributions in healthcare process modeling and management."

--Christopher Yang, Drexel University

Process modeling and process management are traversal disciplines which have earned more and more relevance over the last two decades. Several research areas are involved within these disciplines, including database systems, database management, information systems, ERP, operations research, formal languages, and logic. Process Modeling and Management for Healthcare provides the reader with an in-depth analysis of what process modeling and process management techniques can do in healthcare, the major challenges faced, and those challenges remaining to be faced. The book features contributions from leading authors in the field.

The book is structured into two parts. Part one covers fundamentals and basic concepts in healthcare. It explores the architecture of a process management environment, the flexibility of a process model, and the compliance of a process model. It also features a real application domain of patients suffering from age-related macular degeneration.

Part two of the book includes advanced topics from the leading frontiers of scientific research on process management and healthcare. This section of the book covers software metrics to measure features of the process model as a software artifact. It includes process analysis to discover the formal properties of the process model prior to deploying it in real application domains. Abnormal situations and exceptions, as well as temporal clinical guidelines, are also presented in depth Pro.

One of the primary concerns in a small business is the problem of risk. Many who begin the start-up process terminate it in less than one year. Of those that survive, many are unable to achieve sustained growth and profits. Small-to-medium business enterprises (SME) have a 50% to 90% chance of failure within the first five years. While there are measures of personal risk behavior of entrepreneurs, the literature contains no measure of risk orientation for the enterprise. The purpose of this study was to develop and validate a researcher-designed instrument to measure the critical forces of business risk. The 37-item Entrepreneurial Risk Assessment Scale (ERAS) was developed from key theoretical concepts grounded in economics, marketing, management, finance, and entrepreneurship literature. It was developed and finalized through a process of reviewing literature, subject matter expert panels' review, and a pilot test. The a priori assumption of the ERAS constructs were (a) personal characteristics, (b) intangible operations, (c) enterprise operations, (d) market climate, and (e) business environment. This study utilized a quantitative methodology to establish construct, content, and criterion validity using Bryant's (2000) framework found in Reading and Understanding More Multivariate Statistics edited by Grimm and Yarnold (2000). A sample (N = 276) was taken from an urban/suburban area in South Texas. A principal axis factoring (PAF) analysis was used to establish construct validity; a principle component analysis (PCA) was used to establish content validity; and a logistic regression was used to establish criterion validity. Reliability was assessed within the efforts to establish content validity. What emerged from both the factor analyses were five new factors of entrepreneurial risk that were different from the a priori assumptions and thus renamed: (a) customer and resources, (b) security, (c) operations, (d) external pressures, and (e) other/alternate factors. The results of the PAF and PCA provided strong support for the content and construct validity of the ERAS instrument. In the assessment of criterion validity, the logistic regression analysis showed the endogenous factors, (a) customer and resources, and (c) operations reliably predicted risk behavior of both nascent and incumbent SMEs.
The second edition of this well-organized and comprehensive text continues to provide an in-depth coverage of the theory and applications of operations research. It emphasizes the role of operations research not only as an effective decision-making tool, but also as an essential productivity improvement tool to deal with real-world management problems. This New Edition includes new carefully designed numerical examples that help in understanding complex mathematical concepts better. The book is an easy read, explaining the basics of operations research and discussing various optimization techniques such as linear and non-linear programming, dynamic programming, goal programming, parametric programming, integer programming, transportation and assignment problems, inventory control, and network techniques. It also gives a comprehensive account of game theory, queueing theory, project management, replacement and maintenance analysis, and production scheduling. NEW TO THIS EDITION Inclusion of quantity discount models for transportation problem. Updated inventory control model and detailed discussion on application of dynamic programming in the fields of cargo loading and single-machine scheduling. Numerous new examples that explain the operations research concepts better. New questions with complete solutions to selected problems. This book, with its many student friendly features, would be eminently suitable as a text for students of engineering (mechanical, production and industrial engineering), management, mathematics, statistics, and postgraduate students of commerce and computer applications (MCA).
Take your SAP ABAP skills to the next level by mastering ABAP programming techniques with the help of real-world examplesKey FeaturesBecome adept at building interfaces and explore ABAP tools and techniquesDiscover the modern functionalities available in the latest version of ABAPLearn the process of creating stunning HTML5 applications using SAPUI5Book Description

Advanced Business Application Programming (ABAP) is an established and complex programming language in the IT industry. This book is designed to help you use the latest ABAP techniques and apply legacy constructions using practical examples.

You'll start with a quick refresher on language and database concepts, followed by agile techniques for adding custom code to a modern ABAP system. After this, you will get up to speed with the complete ABAP toolset for importing data to and from different environments. Next, you'll learn how to print forms and work with the different ABAP tools for Extensible Markup Language (XML) manipulation. While covering further chapters, you'll gain insights into building stunning UI5 interfaces, in addition to learning how to develop simple apps using the Business Object Processing Framework (BOPF). You will also pick up the technique of handling exceptions and performing testing in ABAP. In the concluding chapters, you can look forward to grasping various techniques for optimizing the performance of programs using a variety of performance analysis tools.

By the end of this book, you will have the expertise you need to confidently build maintainable programs in Systems, Applications, and Products (SAP).

What you will learnCreate stable and error-free ABAP programsLeverage new ABAP concepts including object-oriented programming(OOP) and Model-View-Controller (MVC)Learn to add custom code to your existing SAP programSpeed up your ABAP programs by spotting bottlenecksUnderstand techniques such as performance tuning and optimizationDevelop modern and beautiful user interfaces (UIs) in an ABAP environmentBuild multiple classes with any nesting levelWho this book is for

This book is for developers who want to learn and use ABAP skills to become an industry expert. Familiarity with object-oriented programming concepts is expected.

Build, design, and style beautiful and informative applications on the Salesforce Lightning platformKey FeaturesBuild and Test Lightning Components that enhance application usability and adaptabilityApply Security Best Practices to your Custom Lightning ComponentsDesign Lightning Components for Salesforce UIs such as Lightning Pages, Salesforce 1 Application, Communities, and more.Book Description

Built on the Salesforce App Cloud, the new Salesforce Lightning Experience combines three major components: Lightning Design System, Lightning App Builder, and Lightning Components, to provide an enhanced user experience. This book will enable you to quickly create modern, enterprise apps with Lightning Component Framework.

You will start by building simple Lightning Components and understanding the Lightning Components architecture. The chapters cover the basics of Lightning Component Framework semantics and syntax, the security features provided by Locker Service, and use of third-party libraries inside Lightning Components. The later chapters focus on debugging, performance tuning, testing using Lightning Testing Services, and how to publish Lightning Components on Salesforce AppExchange.

What you will learnUnderstand Lightning Components architecture Learn Locker security best practices Debug and Improve performance of your Lightning Components Use third-party libraries along with Lightning Component FrameworkLearn how to publish Lightning Components on AppExchangeUse Lightning Out to take your Lightning Components outside the Salesforce platformWho this book is for

This book is for Salesforce developers or developers from other platforms who are familiar with HTML, CSS, and JavaScript and want to build and test Salesforce Lightning components. No knowledge of Salesforce Lightning is required.

When James Mooney lived with and studied the Cherokee between 1887 and 1900, they were the largest and most important Indian tribe in the United States. His dispassionate account of their history from the time of their first contact with whites until the end of the nineteenth century is more than a sequence of battles won and lost, treaties signed and broken, towns destroyed and people massacred. There is humanity along with inhumanity in the relations between the Cherokee and other groups, Indian and non-Indian; there is fortitude and persistence balanced with disillusionment and frustration. In these respects, the history of the Cherokee epitomizes the experience of most Native Americans. The Cherokee Nation ceased to exist as a political entity seven years after the initial study was done, when Oklahoma became a state.

In the introduction to the original publication of this history in 1900, James Mooney commented that "there is change indeed in dress and outward seeming, but the heart of the Indian is still his own." This history was originally included in the 19th Annual Report of the Bureau of American Ethnology.

It was republished under the auspices of the National Anthropological Archives of the Smithsonian Museum of Natural History, at the request of the Governing Body of the Cherokee Nation, in 1975, with new introductory material and supplementary illustrations from the archives. The volume has a foreword from W.W. Keeler, chief of the Cherokee Nation, and an introduction by Richard Mack Bettis, president of the Tulsa Tsa-La-Gi-Ya Cherokee Community.

James Mooney's main interest of study was the Cherokee people. Many say that Mooney wrote the most accurate accounts of the Cherokee culture and history. He spent years living with the Cherokee people in North Carolina, and was able to gain their acceptance and trust, which allowed him to write more firsthand accounts. This made his work more reliable and very accurate.Mooney was a member of the first generation of professional anthropologists; he left behind a wealth of ethnographical and historical data.Cary Michael Carney is a professional educator. He currently works for the Department of Defense, running their ASVAB student testing program for Kansas and most of Missouri.
 This text, now in the Third Edition, aims to provide students with a clear, well-structured and comprehensive treatment of the theory and applications of operations research. The methodology used is to first introduce the students to the fundamental concepts through numerical illustrations and then explain the underlying theory, wherever required. Inclusion of case studies in the existing chapters makes learning easier and more effective.

The book introduces the readers to various models of Operations Research (OR), such as transportation model, assignment model, inventory models, queueing theory and integer programming models. Various techniques to solve OR problems’ faced by managers are also discussed. Separate chapters are devoted to Linear Programming, Dynamic Programming and Quadratic Programming which greatly help in the decision-making process.

The text facilitates easy comprehension of topics by the students due to inclusion of:

• Examples and situations from the Indian context.

• Numerous exercise problems arranged in a graded manner.

• A large number of illustrative examples.

The text is primarily intended for the postgraduate students of management, computer applications, commerce, mathematics and statistics. Besides, the undergraduate students of mechanical engineering and industrial engineering will find this book extremely useful. In addition, this text can also be used as a reference by OR analysts and operations managers.

NEW TO THE THIRD EDITION

• Includes two new chapters:

– Chapter 14: Project Management—PERT and CPM

– Chapter 15: Miscellaneous Topics (Game Theory, Sequencing and Scheduling, Simulation, and Replacement Models)

• Incorporates more examples in the existing chapters to illustrate new models, algorithms and concepts

• Provides short questions and additional numerical problems for practice in each chapter

The core of this book, Chapters 3 through 5, presents a course on metric, normed,andHilbertspacesatthesenior/graduatelevel. Themotivationfor each of these chapters is the generalisation of a particular attribute of the n Euclidean spaceR : in Chapter 3, that attribute isdistance; in Chapter 4, length; and in Chapter 5, inner product. In addition to the standard topics that, arguably, should form part of the armoury of any graduate student in mathematics, physics, mathematical economics, theoretical statistics,. . . , this part of the book contains many results and exercises that are seldom found in texts on analysis at this level. Examples of the latter are Wong’s Theorem(3. 3. 12)showingthattheLebesguecoveringpropertyisequivalent to the uniform continuity property, and Motzkin’s result (5. 2. 2) that a nonempty closed subset of Euclidean space has the unique closest point property if and only if it is convex. The sad reality today is that, perceiving them as one of the harder parts oftheirmathematicalstudies,studentscontrivetoavoidanalysiscoursesat almost any cost, in particular that of their own educational and technical deprivation. Many universities have at times capitulated to the negative demand of students for analysis courses and have seriously watered down their expectations of students in that area. As a result, mathematics - jors are graduating, sometimes with high honours, with little exposure to anything but a rudimentary course or two on real and complex analysis, often without even an introduction to the Lebesgue integral.
Bachelor Thesis from the year 2018 in the subject Business economics - Operations Research, grade: 1,0, University of Augsburg, language: English, abstract: In order to get insights on the extent to which it can contribute to research in the field of physician scheduling, this thesis will evaluate the effectivity of the approach by Gharbi, Louly and Azaiez (2017) to solving the physician scheduling problem (PSP) at an ED in Saudi Arabia to optimality. Their model optimizes the monthly rosters at the mentioned facility considering three aspects: isolated days on, isolated days off, and night blocks (which means trying to assign all night shifts in only one block per physician).The model is to be examined considering performance in general, stability, and overstaffing. Furthermore, relations between model attributes are analyzed and the model is evaluated using an original data set as well as two scenarios with a reduced staff size. Drawing a conclusion, the model performs well considering the goals stated in the objective function as well as stability and runtime but reveals a deficit considering the appropriate staff size for the medical facility. The consistently growing and highly volatile demand for medical services stresses the relevance of physician scheduling. A state of the art in physician scheduling is provided by Erhard et al. (2018) who discovered physician and resident scheduling receiving increasing attention in recent years. Simultaneously, research lacks behind at the creation of schedules that include break assignment and/or consider a stochastic demand pattern. This concludes in a deficit in research regarding the assignment of physicians on a short-term basis as well as the coverage of unanticipated peaks in demand for medical services.
Implement DevOps for Salesforce and explore its featuresKey FeaturesLearn DevOps principles and techniques for enterprise operations in SalesforceImplement Continuous Integration and Continuous Delivery using tools such as Jenkins and Ant scriptUse the Force.com Migration Tool and Git to achieve versioning in SalesforceBook Description

Salesforce is one of the top CRM tools used these days, and with its immense functionalities and features, it eases the functioning of an enterprise in various areas of sales, marketing, and finance, among others. Deploying Salesforce applications is a tricky event, and it can get quite taxing for admins and consultants. This book addresses all the problems that you might encounter while trying to deploy your applications and shows you how to resort to DevOps to take these challenges head on.

Beginning with an overview of the development and delivery process of a Salesforce app, DevOps for Salesforce covers various types of sandboxing and helps you understand when to choose which type. You will then see how different it is to deploy with Salesforce as compared to deploying with another app. You will learn how to leverage a migration tool and automate deployment using the latest and most popular tools in the ecosystem. This book explores topics such as version control and DevOps techniques such as Continuous Integration, Continuous Delivery, and testing. Finally, the book will conclude by showing you how to track bugs in your application changes using monitoring tools and how to quantify your productivity and ROI.

By the end of the book, you will have acquired skills to create, test, and effectively deploy your applications by leveraging the features of DevOps.

What you will learnImplement DevOps for Salesforce and understand the benefits it offersAbstract the features of Force.com MigrationTool to migrate and retrieve metadataDevelop your own CI/CD Pipeline for Salesforce projectUse Qualitia to perform scriptless automation for Continuous TestingTrack application changes using BugzillaApply Salesforce best practices to implement DevOpsWho this book is for

If you are a Salesforce developer, consultant, or manager who wants to learn DevOps tools and set up pipelines for small as well as large Salesforce projects, this book is for you.

Filling the need for an introductory book on linear programming that discusses the important ways to mitigate parameter uncertainty, Introduction to Linear Optimization and Extensions with MATLAB® provides a concrete and intuitive yet rigorous introduction to modern linear optimization. In addition to fundamental topics, the book discusses current linear optimization technologies such as predictor-path following interior point methods for both linear and quadratic optimization as well as the inclusion of linear optimization of uncertainty i.e. stochastic programming with recourse and robust optimization.

The author introduces both stochastic programming and robust optimization as frameworks to deal with parameter uncertainty. The author’s unusual approach—developing these topics in an introductory book—highlights their importance. Since most applications require decisions to be made in the face of uncertainty, the early introduction of these topics facilitates decision making in real world environments. The author also includes applications and case studies from finance and supply chain management that involve the use of MATLAB.

Even though there are several LP texts in the marketplace, most do not cover data uncertainty using stochastic programming and robust optimization techniques. Most emphasize the use of MS Excel, while this book uses MATLAB which is the primary tool of many engineers, including financial engineers. The book focuses on state-of-the-art methods for dealing with parameter uncertainty in linear programming, rigorously developing theory and methods. But more importantly, the author’s meticulous attention to developing intuition before presenting theory makes the material come alive.

Learn steps and tasks to help a NetSuite administrator perform both his daily and monthly tasks efficiently. Advance his expertise to become NetSuite leader without having to spend time and money on corporate trainings.Key FeaturesUnderstand the business considerations and implementation of the NetSuite ERPGain a deep knowledge of enterprise security, data management, process automation, and analyticsLearn techniques to sail through system maintenance while ensuring accuracy and to practically troubleshoot issuesBook Description

NetSuite ERP is a complete, scalable cloud ERP solution targeted at fast-growing, mid-sized businesses and large enterprises. It's the smartly executed combination of financial management operations and built-in business intelligence, which enables companies to make data-driven and well-informed decisions. This book will help administrators become expert enough to be seen as the NetSuite leader at their company and to be able to advise department heads on specific processes, and strategic decisions. We start with an overview of ERP and NetSuite ERP, before going on to explain the built-in features to show the breadth of NetSuite ERP's product and its ease of use. We then discuss business aspects, focusing on the most important processes in NetSuite. Then you'll understand the implementation aspects that are generic enough to cover all the features. The focus then shifts to specific skills that you will need to administer for any system, such as roles, permissions, customization, and data imports. Moving on, you'll learn how to centralize the creation of search templates and give users the tools to pivot the data and expose it to the user in useful ways, such as on the dashboard. The book ends with checklists providing actionable steps that you as an administrator can take to do your job and support the application through new releases and troubleshooting problems.

What you will learn Provide executives with meaningful insights into the business A Framework to streamline the implementation of new and existing features Leverage built-in tools to optimize your efficiency and effectiveness Test configuration to check the implementation of role-specific permissions Understand how to optimize the amount of data to be shared with users Import data like new leads and employ current data like pricing updates Perform on-going maintenance and troubleshoot issuesWho this book is for

This book is for administrators, consultants, and Project Managers who would like to improve their skills in the areas of configuration and system management. Basic experience implementing NetSuite is assumed.

Protect your organization's security at all levels by introducing the latest strategies for securing DevOpsKey FeaturesIntegrate security at each layer of the DevOps pipelineDiscover security practices to protect your cloud services by detecting fraud and intrusionExplore solutions to infrastructure security using DevOps principlesBook Description

DevOps has provided speed and quality benefits with continuous development and deployment methods, but it does not guarantee the security of an entire organization. Hands-On Security in DevOps shows you how to adopt DevOps techniques to continuously improve your organization’s security at every level, rather than just focusing on protecting your infrastructure.

This guide combines DevOps and security to help you to protect cloud services, and teaches you how to use techniques to integrate security directly in your product. You will learn how to implement security at every layer, such as for the web application, cloud infrastructure, communication, and the delivery pipeline layers. With the help of practical examples, you’ll explore the core security aspects, such as blocking attacks, fraud detection, cloud forensics, and incident response. In the concluding chapters, you will cover topics on extending DevOps security, such as risk assessment, threat modeling, and continuous security.

By the end of this book, you will be well-versed in implementing security in all layers of your organization and be confident in monitoring and blocking attacks throughout your cloud services.

What you will learnUnderstand DevSecOps culture and organizationLearn security requirements, management, and metricsSecure your architecture design by looking at threat modeling, coding tools and practicesHandle most common security issues and explore black and white-box testing tools and practicesWork with security monitoring toolkits and online fraud detection rulesExplore GDPR and PII handling case studies to understand the DevSecOps lifecycleWho this book is for

Hands-On Security in DevOps is for system administrators, security consultants, and DevOps engineers who want to secure their entire organization. Basic understanding of Cloud computing, automation frameworks, and programming is necessary.

Today, tens of thousands of companies are struggling to become "time-based" competitors, inspired by such corporations as Motorola, General Electric, Citicorp, and a myriad of others who have cut production time in half—or more. But until now, the literature has focused on the theory and philosophy of fast cycle time, rather than the tools and techniques for implementing it. Here, for the first time, Christopher Meyer, an internationally recognized expert in cycle time reduction, presents a step-by-step blueprint for transforming traditional companies into fast cycle competitors.

Meyer argues that fast cycle time is achieved not by working faster, but by aligning the organization's purpose, strategy and structure. He demonstrates how the product development cycle must become a learning laboratory in which the four continuous elements "Design, Fabricate, Assemble, and Test" are analyzed with the intent to improve strategy in the next business cycle. Analyzing strategy and core processes enables management to detect and correct problems earlier, and leverage knowledge for improved innovation and increased value for customers.

Employing an ongoing case study, Core Products, Inc., throughout the text, Meyer shows how to redesign the organization for manufacturability and assembly, how to implement multifunctional teams that work, how to analyze and map critical cycle time interdependencies such as "co-location," and how to measure the impact of cycle time on business performance. Meyer's practical approach provides a simple methodology for organizations to deliver products to customers rapidly, accurately, and reliably.

"Chris Meyer interrelates many pieces that we have all read about in different places into a coherent guide to making it happen. Ironically, as Meyer shows, implementing fast cycle time means almost the opposite of what most American managers are inclined to do...Many years of practical experience have shown Meyer and his colleagues the wisdom of a paradox—that to speed up you often have to slow down."

—From the Foreword by Peter M. Senge
In this first comprehensive departure from the time-and-motion dictums of Frederick Taylor's Shop Management that have influenced management practices for most of this century, Kiyoshi Suzaki offers a framework for successfully conducting business at its most crucial point-the shop floor. Drawing on the principles of holistic management, where organizational boundaries are smashed and co-destiny is created, Suzaki demonstrates how modern shop floor management techniques -- focusing maximum energy on the front line -- can lead to dramatic improvements in productivity and valueadded-to-services.
The role of management today, Suzaki argues, is to eliminate its own responsibilities by thinking of the organization from the genba, or shop floor, point of view. In this challenge, Suzaki claims, organizations need to collect the wisdom of people by practicing "Glass Wall Management," where organizations become transparent, enabling employees to contribute maximum creativity as opposed to blocking their potential with what he calls "Brick Wall Management." Further, to empower individuals to selfmanage their work and satisfy their customers, Suzaki asserts that they all should learn to manage their own "mini-company," where everybody is considered president of his or her area of responsibility.
Front-line supervisors, Suzaki shows, must develop a mission and goals and share them both up and downstream. He cites examples of the "shop floor point of view" -- McDonald's Corporation's legal staff learning how to sell hamburgers and fix milkshake machines; Honda's human resource staff training on the assembly line -- that narrow the gap between top management and the shop floor. By upgrading people's skills, focusing on empowerment, and streamlining processes, Suzaki illustrates that an organization will realize concrete improvements in quality, cost, delivery, safety, morale, and ultimately, its competitive position.
The University of Arizona Artificial Intelligence Lab (AI Lab) Dark Web project is a long-term scientific research program that aims to study and understand the international terrorism (Jihadist) phenomena via a computational, data-centric approach. We aim to collect "ALL" web content generated by international terrorist groups, including web sites, forums, chat rooms, blogs, social networking sites, videos, virtual world, etc. We have developed various multilingual data mining, text mining, and web mining techniques to perform link analysis, content analysis, web metrics (technical sophistication) analysis, sentiment analysis, authorship analysis, and video analysis in our research. The approaches and methods developed in this project contribute to advancing the field of Intelligence and Security Informatics (ISI). Such advances will help related stakeholders to perform terrorism research and facilitate international security and peace.

This monograph aims to provide an overview of the Dark Web landscape, suggest a systematic, computational approach to understanding the problems, and illustrate with selected techniques, methods, and case studies developed by the University of Arizona AI Lab Dark Web team members. This work aims to provide an interdisciplinary and understandable monograph about Dark Web research along three dimensions: methodological issues in Dark Web research; database and computational techniques to support information collection and data mining; and legal, social, privacy, and data confidentiality challenges and approaches. It will bring useful knowledge to scientists, security professionals, counterterrorism experts, and policy makers. The monograph can also serve as a reference material or textbook in graduate level courses related to information security, information policy, information assurance, information systems, terrorism, and public policy.

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