Written as a practical guide, this book will show you how to manage your reporting environment using IBM Cognos 10 and make the most out of BI tools within your business - taking a hands-on approach to stimulate learning and develop your understanding. If you are an IBM Cognos or Business Intelligence developer or consultant, have a basic knowledge of Cognos 10 BI and a good level of understanding of Cognos 8 then this book is for you.

Microsoft System Center 2012 Endpoint Protection Cookbook is a highly practical cookbook for beginner-intermediate use to get you started with a variety of SCEP tasks, as well as providing a sneak peek at a full SCEP walkthrough to give you some real world context. If you are a System Administrator or Engineer using System Center 2012 EndPoint Protection, then Microsoft System Center 2012 Endpoint Protection Cookbook is for you. You should have a good background with Microsoft products in general, although no knowledge of EndPoint Protection is required.

This getting started book will use practical chapters which follow logical and progressively more complex tasks and examples, which will impart the skills of how to use Oracle Complex Event Processing to the reader. This book is aimed at both those with some knowledge of java and SQL database experience, but it is also written so that if you are completely new to this topic you will understand this new technology domain no matter your background or industry.

This Certification guide will follow a step-by-step approach to instruct the reader what they need to know to be able to become certified with Microsoft Dynamics CRM 2011. If you will implement Microsoft Dynamics CRM 2011, this book is for you. You should have a working knowledge of Microsoft Windows, Microsoft Internet Explorer, and Microsoft Office.

This book is for web developers and designers who work with HTML and JavaScript to help them manage data and interactivity with data using KnockoutJS. Knowledge about jQuery will be useful but is not necessary.

This book is written in a friendly voice with lots of tips, tricks, and screenshots to help you set up, extend, and personalize your own online shop. If you want to start your own e-commerce business, then this book will help you do that. This book is for people who are interested in creating an online shop. Basic HTML and CSS skills would be beneficial but are not required as we will provide you with all the code and know-how you need.

Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks.A recipe-based instant tutorial, showing app development with Knockout and Wijmo, and covering major widgets and themes. This book aims at equipping the reader with the necessary tools that Wijmo and Knockout JS provide for easing and speeding up development. It addresses the needs of everyone in the UI development space, both experienced and newbies. To get the most out of this book you should have a good working knowledge of HTML, CSS, and JavaScript, and will need to be comfortable using jQuery.

This book is a collection of Yii recipes with chapters generally independent of each other. It is full of practically useful solutions and concepts explained with code and relevant screenshots and diagrams. This book is for developers with good PHP5 knowledge who have tried to develop applications using Yii. An object-oriented approach and MVC knowledge will be a great advantage as Yii uses these extensively.

If you are a Java developer or administrator with a technical background and want to install and configure Liferay Portal as an enterprise intranet, this is the book for you. In short, reusable recipes help you realize business goals as working features in Liferay. This book will also give you useful hints on how to easily improve the default functionality of the system and its performance.

The book is written in beginner’s guide style with each aspect of NumPy demonstrated with real world examples and required screenshots. If you are a programmer, scientist, or engineer who has basic Python knowledge and would like to be able to do numerical computations with Python, this book is for you. No prior knowledge of NumPy is required.

Get started with Python for data analysis and numerical computing in the Jupyter notebookAbout This BookLearn the basics of Python in the Jupyter NotebookAnalyze and visualize data with pandas, NumPy, matplotlib, and seabornPerform highly-efficient numerical computations with Numba, Cython, and ipyparallel Who This Book Is For This book targets students, teachers, researchers, engineers, analysts, journalists, hobbyists, and all data enthusiasts who are interested in analyzing and visualizing real-world datasets. If you are new to programming and data analysis, this book is exactly for you. If you're already familiar with another language or analysis software, you will also appreciate this introduction to the Python data analysis platform. Finally, there are more technical topics for advanced readers. No prior experience is required; this book contains everything you need to know.What You Will LearnInstall Anaconda and code in Python in the Jupyter NotebookLoad and explore datasets interactivelyPerform complex data manipulations effectively with pandasCreate engaging data visualizations with matplotlib and seabornSimulate mathematical models with NumPyVisualize and process images interactively in the Jupyter Notebook with scikit-imageAccelerate your code with Numba, Cython, and IPython.parallelExtend the Notebook interface with HTML, JavaScript, and D3 In Detail Python is a user-friendly and powerful programming language. IPython offers a convenient interface to the language and its analysis libraries, while the Jupyter Notebook is a rich environment well-adapted to data science and visualization. Together, these open source tools are widely used by beginners and experts around the world, and in a huge variety of fields and endeavors. This book is a beginner-friendly guide to the Python data analysis platform. After an introduction to the Python language, IPython, and the Jupyter Notebook, you will learn how to analyze and visualize data on real-world examples, how to create graphical user interfaces for image processing in the Notebook, and how to perform fast numerical computations for scientific simulations with NumPy, Numba, Cython, and ipyparallel. By the end of this book, you will be able to perform in-depth analyses of all sorts of data.Style and approach This is a hands-on beginner-friendly guide to analyze and visualize data on real-world examples with Python and the Jupyter Notebook.

Master the art of digital forensics and analysis with PythonAbout This BookLearn to perform forensic analysis and investigations with the help of Python, and gain an advanced understanding of the various Python libraries and frameworksAnalyze Python *s to extract metadata and investigate forensic artifactsThe writers, Dr. Michael Spreitzenbarth and Dr. Johann Uhrmann, have used their experience to craft this hands-on guide to using Python for forensic analysis and investigations Who This Book Is For If you are a network security professional or forensics analyst who wants to gain a deeper understanding of performing forensic analysis with Python, then this book is for you. Some Python experience would be helpful.What You Will LearnExplore the forensic analysis of different platforms such as Windows, Android, and vSphereSemi-automatically reconstruct major parts of the system activity and time-lineLeverage Python ctypes for protocol decodingExamine artifacts from mobile, Skype, and browsersDiscover how to utilize Python to improve the focus of your analysisInvestigate in volatile memory with the help of volatility on the Android and Linux platforms In Detail Digital forensic analysis is the process of examining and extracting data digitally and examining it. Python has the combination of power, expressiveness, and ease of use that makes it an essential complementary tool to the traditional, off-the-shelf digital forensic tools. This book will teach you how to perform forensic analysis and investigations by exploring the capabilities of various Python libraries. The book starts by explaining the building blocks of the Python programming language, especially ctypes in-depth, along with how to automate typical tasks in file system analysis, common correlation tasks to discover anomalies, as well as templates for investigations. Next, we’ll show you cryptographic algorithms that can be used during forensic investigations to check for known files or to compare suspicious files with online services such as VirusTotal or Mobile-Sandbox. Moving on, you’ll learn how to sniff on the network, generate and analyze network flows, and perform log correlation with the help of Python *s and tools. You’ll get to know about the concepts of virtualization and how virtualization influences IT forensics, and you’ll discover how to perform forensic analysis of a jailbroken/rooted mobile device that is based on iOS or Android. Finally, the book teaches you how to analyze volatile memory and search for known malware samples based on YARA rules.Style and approach This easy-to-follow guide will demonstrate forensic analysis techniques by showing you how to solve real-word-scenarios step by step.

Learn to use powerful Python libraries for effective data processing and analysisAbout This BookLearn the basic processing steps in data analysis and how to use Python in this area through supported packages, especially Numpy, Pandas, and MatplotlibCreate, manipulate, and analyze your data to extract useful information to optimize your systemA hands-on guide to help you learn data analysis using Python Who This Book Is For If you are a Python developer who wants to get started with data analysis and you need a quick introductory guide to the python data analysis libraries, then this book is for you.What You Will LearnUnderstand the importance of data analysis and get familiar with its processing stepsGet acquainted with Numpy to use with arrays and array-oriented computing in data analysisCreate effective visualizations to present your data using MatplotlibProcess and analyze data using the time series capabilities of PandasInteract with different kind of database systems, such as file, disk format, Mongo, and RedisApply the supported Python package to data analysis applications through examplesExplore predictive analytics and machine learning algorithms using Scikit-learn, a Python library In Detail Data analysis is the process of applying logical and analytical reasoning to study each component of data. Python is a multi-domain, high-level, programming language. It’s often used as a *ing language because of its forgiving syntax and operability with a wide variety of different eco-systems. Python has powerful standard libraries or toolkits such as Pylearn2 and Hebel, which offers a fast, reliable, cross-platform environment for data analysis. With this book, we will get you started with Python data analysis and show you what its advantages are. The book starts by introducing the principles of data analysis and supported libraries, along with NumPy basics for statistic and data processing. Next it provides an overview of the Pandas package and uses its powerful features to solve data processing problems. Moving on, the book takes you through a brief overview of the Matplotlib API and some common plotting functions for DataFrame such as plot. Next, it will teach you to manipulate the time and data structure, and load and store data in a file or database using Python packages. The book will also teach you how to apply powerful packages in Python to process raw data into pure and helpful data using examples. Finally, the book gives you a brief overview of machine learning algorithms, that is, applying data analysis results to make decisions or build helpful products, such as recommendations and predictions using scikit-learn.Style and approach This is an easy-to-follow, step-by-step guide to get you familiar with data analysis and the libraries supported by Python. Topics are explained with real-world examples wherever required.

Create, package, and customize stunning themes using PrimeFacesAbout This BookBuild PrimeFaces themes that meet the industry standardsCustomize your themes for mobile web applications with PrimeFaces MobileA precise, example-oriented guide to help you create interesting themes using the PrimeFaces tools Who This Book Is For If you are a Web Designer who wants to create and modify PrimeFaces themes then this book is for you. Basic knowledge of JSF, CSS, and HTML is assumed.What You Will LearnUse Maven to create JSF ProjectsCreate a custom theme using JQuery UI toolsPackage your theme for distribution and use your PrimeFaces-based web applications as drop in librariesDevelop additional dynamic look and feel elements that themes do not already supplyApply look and feel elements dynamically to views without causing page refreshesReduce code repetition by applying page templates to your JSF project In Detail Developing stunning themes for web applications has never been easier! PrimeFaces delivers a powerful set of features that enables JSF developers to create and customize awesome themes on the web. It is very easy to use because it comes as a single JAR file and requires no mandatory XML configuration. With more than 30 out-of-the-box themes, jQuery integration, a mobile UI toolkit, Ajax Push technology, and much more, PrimeFaces takes JSF application development to a whole new level! This book is a hands-on example-rich guide to creating and customizing PrimeFaces themes using available tools. Beginning with creating a JSF project and integrating the PrimeFaces library, this book will introduce you to the features of theme components, how these are structured, and how PrimeFaces uses JQuery UI to apply a theme to your application. You will learn to examine and change the CSS rules and get creative by setting standard icons and adding new icons to them. You will use a combination of JavaScript and CSS to enhance your application with help of scheduler component and go on to adapt and package your custom theme so that it is compatible with the Resource Manager. Finally, you will explore PrimeFaces mobile apps, ensuring themes are compatible with your mobile applications best practices for theme design.Style and approach This book is a concise, hands-on guide to developing PrimeFaces themes, working from the ground up with examples in each topic implemented in a web application. You will be encouraged to explore areas of your own interest without the requirement to stick to the letter of the chapter.

This book is intended for automation testers and developers who want to enhance their skills from web-based automation to mobile application automation using Appium. Basic knowledge of mobile application testing, Selenium WebDriver, and programming is assumed.

This book is great for developers, quality assurance engineers, testers, and test managers new to Apache JMeter, or those who are looking to get a good grounding in how to effectively use and become proficient with JMeter. No prior testing experience is required.

This book is for web developers and designers who work with React.js and JavaScript and who are new to unit testing and automation. It's assumed that you have a basic knowledge of JavaScript and HTML.

Programmers new to the Raspberry Pi and novice programmers with little to no experience with micro board computing will find the book useful. A basic knowledge of programming languages in general will prove useful for a better understanding of the topics.

If you are a Java developer or a manager who has experience with Apache Maven and want to extend your knowledge, then this is the ideal book for you. Apache Maven Cookbook is for those who want to learn how Apache Maven can be used for build automation. It is also meant for those familiar with Apache Maven, but want to understand the finer nuances of Maven and solve specific problems.

This book is for kids who wish to develop games and applications using the Raspberry Pi. No prior experience in programming is necessary; you need only a Raspberry Pi and the required peripherals.

Learning Salesforce Visual Workflow is intended for those who want to use Flows to automate their business requirements by click not code. Salesforce maintains an incredibly user-friendly interface; no previous experience in computer coding or programming is required.