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Oracle JET for Developers

2017/12/15December 8, 2017

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Client side JavaScript for enterprise Oracle applications. About This Book Develop resilient and robust client-side applications Explore the power of popular JavaScript libraries such as jQuery, RequireJS, and custom Oracle JavaScript libraries Integrate JavaScript for Oracle developers Easily debug and secure your cloud interfaces Who This Book Is For If you are a web components developer looking to create client-side apps that are resilient and robust using Oracle JET, then this book is the right choice for you. What You Will Learn Use Yeoman or npm to start a new Oracle JET-based project Implement real-world use cases using Oracle JET components Get to know the best practices for Oracle JET web applications Explore Knockout, the framework behind Oracle JET Implement a multi-platform app with OJ and Cordova In Detail This book will give you a complete practical understanding of the Oracle JavaScript Extension Toolkit (JET) and how you can use it to develop efficient client-side applications with ease. It will tell you how to get your own customized Oracle JET set up. You'll start with individual libraries, such as jQuery, Cordova, and Require. You'll also get to work with the JavaScript libraries created by Oracle, especially for cloud developers. You'll use these tools to create a working backend application with these libraries. Using the latest Oracle Alta UI, you'll develop a state-of-the-art backend for your cloud applications. You'll learn how to develop and integrate the different cloud services required for your application and use other third-party libraries to get more features from your cloud applications. Toward the end of the book, you'll learn how to manage and secure your cloud applications, and test them to ensure seamless deployment. Style and approach This book will have a practical step by step approach where every step of application development will be explained in detail with code samples. Downloading the example code for this book. You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the code file.




Kotlin in Practice

2017/12/15December 13, 2017

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Learn to build amazing applications for the Android platform with the help of Kotlin language About This Video Learn how to build amazing Android native apps with Kotlin Get a better understanding of advanced features of Kotlin Discover how to use the most popular Android Libraries (Retrofit, RxJava, and Realm) in this step-by-step guide In Detail Kotlin is a programming language intended to be better than Java, and it's designed to be usable on any platform that is compatible with Java. Kotlin is great for building amazing Android applications in an easy and effective way. During this course, you will build an Android app from scratch. Through this process, we’ll explain the intermediate and advanced features of the Kotlin language. By the end of the course, you’ll be proficient in building effective Android applications using Kotlin.




Object-Oriented Data Structures Using Java, 3rd Edition

2017/12/15February 27, 2011

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Continuing the success of the popular second edition, the updated and revised Object-Oriented Data Structures Using Java, Third Edition is sure to be an essential resource for students learning data structures using the Java programming language. It presents traditional data structures and object-oriented topics with an emphasis on problem-solving, theory, and software engineering principles. Beginning early and continuing throughout the text, the authors introduce and expand upon the use of many Java features including packages, interfaces, abstract classes, inheritance, and exceptions. Numerous case studies provide readers with real-world examples and demonstrate possible solutions to interesting problems. The authors' lucid writing style guides readers through the rigor of standard data structures and presents essential concepts from logical, applications, and implementation levels. Key concepts throughout the Third Edition have been clarified to increase student comprehension and retention, and end-of-chapter exercises have been updated and modified. New and Key Features to the Third Edition: -Includes the use of generics throughout the text, providing the dual benefits of allowing for a type safe use of data structures plus exposing students to modern approaches. -This text is among the first data structures textbooks to address the topic of concurrency and synchonization, which are growing in the importance as computer systems move to using more cores and threads to obtain additional performance with each new generation. Concurrency and synchonization are introduced in the new Section 5.7, where it begins with the basics of Java threads. -Provides numerous case studies and examples of the problem solving process. Each case study includes problem description, an analysis of the problem input and required output, and a discussion of the appropriate data structures to use. -Expanded chapter exercises allow you as the instructor to reinforce topics for your students using both theoretical and practical questions. -Chapters conclude with a chapter summary that highlights the most important topics of the chapter and ties together related topics. Instructor Resources: -Answers to the exercises in the text -Glossary of terms -PowerPoint Lecture Outlines -Test bank




Web Programming and Internet Technologies: An E-Commerce Approach

2017/12/15February 27, 2012

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Today's Web programmers are required to understand and use the tools and skills for both client and server-side programming. Web Programming and Internet Technologies: An E-Commerce Approach provides an accessible, comprehensive introduction to creating fully functioning websites with e-commerce capabilities. Ideal for the one-term course, or as a self-learning guide for professionals, the authors weave a continuing case study of a real-world commercial enterprise throughout the text that gradually grows in sophistication. Introductory chapters ask readers to create a simple website that uses the basic features of XHTML. Readers will continue to modify and expand their early work, creating a centralized mechanism for changing the look and feel of the site via cascading style sheets, and incorporating JavaScript, PHP, MySQL, and much more. A CD-ROM is included with every new printed copy of the text and includes complete and pre-tested XHTML and CSS markup for all web pages discussed, as well as all associated JavaScript and PHP scripts, and the data for setting up the MySQL database. With its hands-on, active-learning approach, students using this new full-color text will see, and experience first-hand, the many levels and capabilities of programming for the world wide web. Key Features: -Based on a real business model, this text provides a comprehensive introduction to all aspects of creating a complete website with e-commerce capabilities. -Uses a project-based approach that asks readers to develop a website whose functionality will parallel that of the real-world case study in the text. -Includes examples and screen shots of real websites throughout for readers to reference. -Presents and utilizes maintstream and relevant open-source and widely used technologies: XHTML, CSS, JavaScript, PHP, MySQL, XML, and more. -Every chapter concludes with a collection of activities to assure the reader has a full understanding of the chapter material. These activities include: quick questions to test the readers basic knowledge of the content; short exercises to improve basic understanding; 'exercises on the parallel project' that guide the reader through creating his/her own fully functional commercial website; a section titled 'What Else You May Want or Need to Know', containing additional information relevant to the chapter; and finally, a reference section with links to websites for further details and explanations of the topics covered in the chapter. -The accompanying CD-ROM contains complete and pre-tested XHTML and CSS markup for all web pages discussed in teh text, as well as all associated JavaScript and PHP scripts, and the data for setting up the MySQL database (eBook version doe not include the CD-ROM).




Accounting Fraud, Second Edition

2017/12/15December 12, 2017

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Scandals relating to manipulation and fraud have dominated much of the history of business and the accounting profession in America since it's foundÂing. Crooks, corruption, scandals, and panics have been regular features of the business landscape, with regulations and the expansion of financial disÂclosure, auditing, and regulatory agencies following major debacles. Prior to the creation of the Securities and ExÂchange Commission (SEC) in the 1930s and the deÂvelopment of generally accepted accounting prinÂciples (GAAP), few accounting rules existed and it is difficult to identify ÒaccountingÓ scandals. Beginning with the New Deal of the 1930s, regulations of financial markets (including the SEC); the creation of generally accepted accounting principles (GAAP) and organizations to improve and keep GAAP current (now in the hands of the Financial Accounting Standards Board); and auditing (currently under the Public Company Accounting Oversight Board) improved accounting and audit practices and financial disclosures. Despite these efforts, accounting frauds continue-many in new and innovative ways. This book brings to light the importance of incenÂtive structures of key players, consideration of economic and psychological perspectives on behavior, and the need for increasingly efÂfective regulation, which become more obvious by considering decades of abuse. Executive compensaÂtion, pensions, market values, special purpose entities, and derivaÂtives continue to be problematic accounting issues as they have for decades. Inside, you'll get exposure to financial disclosure issues and other accounting risks, plus additional knowledge of accounting fraud and risk areas.




Deploying Spark ML Pipelines in Production on AWS

2017/12/15December 12, 2017

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Translating a Spark application from running in a local environment to running on a production cluster in the cloud requires several critical steps, including publishing artifacts, installing dependencies, and defining the steps in a pipeline. This video is a hands-on guide through the process of deploying your Spark ML pipelines in production. You’ll learn how to create a pipeline that supports model reproducibility—making your machine learning models more reliable—and how to update your pipeline incrementally as the underlying data change. Learners should have basic familiarity with the following: Scala or Python; Hadoop, Spark, or Pandas; SBT or Maven; Amazon Web Services such as S3, EMR, and EC2; Bash, Docker, and REST. Understand how various cloud ecosystem components interact (i.e., Amazon S3, EMR, EC2, and so on) Learn how to architect the components of a cloud ecosystem into an end-to-end model pipeline Explore the capabilities and limitations of Spark in building an end-to-end model pipeline Learn to write, publish, deploy, and schedule an ETL process using Spark on AWS using EMR Understand how to create a pipeline that supports model reproducibility and reliability Jason Slepicka is a senior data engineer with Los Angeles based DataScience, where he builds pipelines and data science platform infrastructure. He has a decade of experience integrating data to support efforts like fighting human trafficking for DARPA, exploring the evolution of evolvability in yeast, and tracking intruders in computer networks. Jason has both a Bachelor's and Master’s in Computer Science from the University of Arizona and is working on his PhD in Computer Science at the University of Southern California Information Sciences Institute.




Monitoring and Improving the Performance of Machine Learning Models

2017/12/15December 12, 2017

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It’s critical to have “humans in the loop” when automating the deployment of machine learning (ML) models. Why? Because models often perform worse over time. This course covers the human directed safeguards that prevent poorly performing models from deploying into production and the techniques for evaluating models over time. We’ll use ModelDB to capture the appropriate metrics that help you identify poorly performing models. We'll review the many factors that affect model performance (i.e., changing users and user preferences, stale data, etc.) and the variables that lose predictive power. We'll explain how to utilize classification and prediction scoring methods such as precision recall, ROC, and jaccard similarity. We'll also show you how ModelDB allows you to track provenance and metrics for model performance and health; how to integrate ModelDB with SparkML; and how to use the ModelDB APIs to store information when training models in Spark ML. Learners should have basic familiarity with the following: Scala or Python; Hadoop, Spark, or Pandas; SBT or Maven; cloud platforms like Amazon Web Services; Bash, Docker, and REST. Learn how to use ModelDB and Spark to track and improve model performance over time Understand how to identify poorly performing models and prevent them from deploying into production Explore classification and prediction scoring methods for training and evaluating ML models Manasi Vartak is a PhD student in the Database Group at MIT, where she works on systems for analysis of large scale data. Jason Slepicka is a senior data engineer with DataScience, where he builds pipelines and data science platform infrastructure. Jason is working on his PhD in Computer Science at the University of Southern California Information Sciences Institute.




Combo Prospecting

2017/12/15January 11, 2018

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Unleash a killer combination of old and new sales strategies. How do you break through to impossible-to-reach executive buyers who are intent on blocking out the noise that confronts them every day? Old-school prospecting tactics or new-school techniques alone won’t provide the answers. But Combo Prospecting will...by showing how to combine time-tested sales processes with cutting-edge social media strategies and clever technology hacks. The book reveals today’s new breed of Chief Executive Buyers, the channels they use, the value narrative you need, and the mix of methods that works. With actionable insights in every chapter, it explains how to: Do deep-dive research into social Locate leverage points that matter Secure decision-maker meetings Earn executive engagement Build a knockout, online brand Nurture a network that helps you thrive Profit from referrals Publish insights that set you apart and steer the agenda Employ an efficient, lethal library of scripts and templates And much, much more Want to wildly exceed your quota? Combo Prospecting is a potent playbook that will pack your pipeline and turn you into a selling champ.




Raspberry Pi für Kids -- Programmieren lernen und experimentieren mit Elektronik, Scratch und Python

2017/12/15December 14, 2017

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Spannende Projekte aus Wissenschaft und Technik Autosimulator, interaktive Animationen und Spiele, Sensoren, Verarbeitung von Kamerabildern, Steuerung von Leuchtdioden und Funksteckdosen Einfache Programmierbeispiele mit Scratch und Python Du findest Elektronik und Computertechnik spannend? Du hast Spaß daran, Spiele zu programmieren und Leuchtdioden zum Blinken zu bringen? Du möchtest neuartige Geräte mit Kamera und Sensoren entwickeln? Dann ist der Raspberry Pi genau das Richtige für dich! Du wirst damit Dinge machen können, zu denen der Computer deiner Eltern nicht in der Lage ist. Der Raspberry Pi ist ein kleiner Computer zum Basteln und Erfinden. Das Besondere daran ist, dass du ihn verändern und erweitern kannst: Im Prinzip baust du bei jedem Projekt deine eigene Maschine, so wie du sie für deine Zwecke brauchst. Das Buch besteht aus drei Teilen: Im ersten Teil machst du den Raspberry Pi einsatzbereit. Du erfährst, wie du damit im Internet surfen, Musik hören und Filme ansehen kannst. Im zweiten Teil steigst du in die Programmierung mit Scratch ein und entwickelst Spiele, einen Autosimulator und prüfst, wie viel Fruchtsaft in einer Limonade ist. Im dritten Teil lernst du die Programmiersprache Python. Du schreibst Programme, die Blinkmuster und Buchstaben auf einer LED-Matrix erzeugen, Haushaltsgeräte ein- und ausschalten, mit Ultraschall Hindernisse im Dunkeln erkennen, Morsezeichen senden oder mit Sensoren Temperaturen messen. Mit einer Kamera beobachtet dein Raspberry Pi den Garten und wertet das Livebild automatisch aus. Im letzten Kapitel setzt du den Raspberry Pi als Webserver ein. Aus dem Inhalt: Der Raspberry Pi als Mediacenter Einführung in Scratch und Programmierung kleiner Spiele Projekte mit dem PicoBoard Grundlagen von Python Leuchtdioden steuern Steuerung mit Schaltern Anzeigen mit Leuchtdioden Datensammlungen verarbeiten LCD-Anzeigen Projekte mit dem Ultraschallsensor Temperaturmessung und Hausautomation Grafische Benutzungsoberflächen Projekte mit der Kamera Der Raspberry Pi als Webserver




Machine Learning mit Python und ScikitLearn und TensorFlow

2017/12/15December 14, 2017

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Datenanalyse mit ausgereiften statistischen Modellen des Machine Learnings Anwendung der wichtigsten Algorithmen und Python-Bibliotheken wie NumPy, SciPy, Scikit-learn, TensorFlow, Matplotlib, Pandas und Keras Best Practices zur Optimierung Ihrer Machine-Learning-Algorithmen Machine Learning und Predictive Analytics verändern die Arbeitsweise von Unternehmen grundlegend. Die Fähigkeit, in komplexen Daten Trends und Muster zu erkennen, ist heutzutage für den langfristigen geschäftlichen Erfolg ausschlaggebend und entwickelt sich zu einer der entscheidenden Wachstumsstrategien. Die zweite Auflage dieses Buchs berücksichtigt die jüngsten Entwicklungen und Technologien, die für Machine Learning, Neuronale Netze und Deep Learning wichtig sind. Dies betrifft insbesondere die neuesten Open-Source-Bibliotheken wie Scikit-learn, Keras und TensorFlow. Python zählt zu den führenden Programmiersprachen in den Bereichen Machine Learning, Data Science und Deep Learning und ist besonders gut dazu geeignet, grundlegende Erkenntnisse aus Ihren Daten zu gewinnen sowie ausgefeilte Algorithmen und statistische Modelle auszuarbeiten, die neue Einsichten liefern und wichtige Fragen beantworten. Die Autoren erläutern umfassend den Einsatz von Machine-Learning- und Deep-Learning-Algorithmen und wenden diese anhand zahlreicher Beispiele praktisch an. Dafür behandeln sie in diesem Buch ein breites Spektrum leistungsfähiger Python-Bibliotheken wie Scikit-learn, Keras und TensorFlow. Sie lernen detailliert, wie Sie Python für maschinelle Lernverfahren einsetzen und dabei eine Vielzahl von statistischen Modellen verwenden. Aus dem Inhalt: Trainieren von Lernalgorithmen für die Klassifizierung Regressionsanalysen zum Prognostizieren von Ergebnissen Clusteranalyse zum Auffinden verborgener Muster und Strukturen in Ihren Daten Deep-Learning-Verfahren zur Bilderkennung Optimale Organisation Ihrer Daten durch effektive Verfahren zur Vorverarbeitung Datenkomprimierung durch Dimensionsreduktion Training Neuronaler Netze mit TensorFlow Kombination verschiedener Modelle für das Ensemble Learning Einbettung eines Machine-Learning-Modells in eine Webanwendung Stimmungsanalyse in Social Networks Modellierung sequenzieller Daten durch rekurrente Neuronale Netze