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The Kendo UI Mobile library is a one stop solution to build mobile applications rapidly. It comes with several built-in widgets that enable application developers to build intuitive applications for small screen devices. It also provides more control to these developers by providing various components that can be extended or configured to match their needs.Instant Kendo UI Mobile How-to takes a deep look at various components of the Kendo UI Mobile library and provides solutions to common use cases involved in building a mobile application. It enables application developers to use HTML, CSS, and JavaScript to build mobile applications that provide a native look and feel on various platforms such as iOS, Android, and BlackBerry without having to maintain a separate code base.This guide introduces the user to the Kendo UI Mobile library and provides a step-by-step approach to creating your first mobile application. It then introduces you to several components and provides solutions to some of the common use cases you may encounter in your development.The Kendo UI Mobile library is composed of two parts – the aplication framework and a set of widgets. The aplication framework focuses on configuring the application, handling various touch-based events, rendering on different devices to provide a native look and feel, and transitioning from one view to the other. The widget library contains several widgets that enable you to build applications more rapidly than ever before.
If you're ready to start exploring the more advanced workflows and processes in Blender to create intricate 3D models, then Taking Blender to the Next Level is for you.This book focuses on a few different VFX-related workflows such as geometry nodes, organic modeling, 3D camera tracking, photogrammetry, sculpting, compositing, and physics simulations. You’ll learn how to use geometry nodes to create dynamic motion graphic scenes as well as perform 3D scanning of real-world objects using photogrammetry. You’ll also find out how to model, rig, and animate your own 3D characters from scratch. Next, you’ll progress to using simulations to break objects apart and then use cloth and hair simulations to add realism to your 3D creations. Finally, you’ll go over the final render settings and export your 3D animation masterpiece as a video.By the end of this Blender book, you’ll be able to model your own 3D characters, objects, and landscapes; rig, animate, and texture your characters; 3D track live-action footage; and composite your 3D characters into live-action scenes.
Ton Roosendaal, Enrico Valenza
Cycles is Blender's new, powerful rendering engine. Using practical examples, this book will show you how to create a vast array of realistic and stunning materials and texture effects using the Cycles rendering engine.Blender 2.6 Cycles: Materials and Textures Cookbook is a practical journey into the new and exciting Cycles rendering engine for Blender. In this book you will learn how to create a vast array of materials and textures in Cycles, including glass, ice, snow, rock, metal and water. If you want to take your 3D models to the next level, but don't know how, then this cookbook is for you!In this practical cookbook, you will learn how to create stunning materials and textures to really bring your 3D models to life! Diving deep into Cycles you will learn Cycle's node-based material system, how to set-up a 3D scene for rendering, how to create a natural and man-made materials as well as the correct organization and re-use of Cycles materials to save you time and effort.To ensure that your creations look stunning you will learn how illumination works in Cycles, improve the quality of the final render and to avoid the presence of noise and fireflies. Each chapter of Blender 2.6 Cycles: Materials and Textures Cookbook builds on the complexity of the last so that by the end of this book you will know how to create an impressive library of realistic-looking materials and textures.
Although machine learning is an exciting world to explore, you may feel confused by all of its theoretical aspects. As a Java developer, you will be used to telling the computer exactly what to do, instead of being shown how data is generated; this causes many developers to struggle to adapt to machine learning.The goal of this book is to walk you through the process of efficiently training machine learning and deep learning models for Computer Vision using the most up-to-date techniques. The book is designed to familiarize you with neural networks, enabling you to train them efficiently, customize existing state-of-the-art architectures, build real-world Java applications, and get great results in a short space of time. You will build real-world Computer Vision applications, ranging from a simple Java handwritten digit recognition model to real-time Java autonomous car driving systems and face recognition models.By the end of this book, you will have mastered the best practices and modern techniques needed to build advanced Computer Vision Java applications and achieve production-grade accuracy.
In medium-sized and big projects, coding conventions are defined in order to improve readability and maintainability for all the developers of the team. Stylecop analyzes your code and detects coding rule violations during all the phases of your project lifecycle.Instant StyleCop Code Analysis How-to allows you to take advantage of the features of Stylecop by guiding you through how to configure it, how to integrate it in your project environment, and finally how to personalize it in order to fit your needs.Instant StyleCop Code Analysis How-to teaches you how to configure and integrate Stylecop in your programming environment. The book will do this by showing you how to configure Stylecop on the developers IDE to the continuous integration server.You will also learn how to customize Stylecop to fit your coding style by creating new rules as well as learning how to personalize your headers file. You will also see how to embed it in your own tools, using as an example the creation of a real time analysis add-on for Monodevelop.With Instant StyleCop Code Analysis How-to, you will have an overview of all the required steps to successfully integrate your programming team and enforce your own coding rules.
Martin Czygan, Phuong Vo.T.H, Ashish Kumar, Kirthi Raman
You will start the course with an introduction to the principles of data analysis and supported libraries, along with NumPy basics for statistics and data processing. Next, you will overview the Pandas package and use its powerful features to solve data-processing problems. Moving on, you will get a brief overview of the Matplotlib API .Next, you will learn to manipulate time and data structures, and load and store data in a file or database using Python packages. You will learn how to apply powerful packages in Python to process raw data into pure and helpful data using examples. You will also get a brief overview of machine learning algorithms, that is, applying data analysis results to make decisions or building helpful products such as recommendations and predictions using Scikit-learn. After this, you will move on to a data analytics specialization—predictive analytics. Social media and IOT have resulted in an avalanche of data. You will get started with predictive analytics using Python. You will see how to create predictive models from data. You will get balanced information on statistical and mathematical concepts, and implement them in Python using libraries such as Pandas, scikit-learn, and NumPy. You’ll learn more about the best predictive modeling algorithms such as Linear Regression, Decision Tree, and Logistic Regression. Finally, you will master best practices in predictive modeling.After this, you will get all the practical guidance you need to help you on the journey to effective data visualization. Starting with a chapter on data frameworks, which explains the transformation of data into information and eventually knowledge, this path subsequently cover the complete visualization process using the most popular Python libraries with working examplesThis Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:? Getting Started with Python Data Analysis, Phuong Vo.T.H &Martin Czygan•Learning Predictive Analytics with Python, Ashish Kumar•Mastering Python Data Visualization, Kirthi Raman
Hands-On Test Management with Jira begins by introducing you to the basic concepts of Jira and takes you through real-world software testing processes followed by various organizations. As you progress through the chapters, the book explores and compares the three most popular Jira plugins—Zephyr, Test Management, and synapseRT. With this book, you’ll gain a practical understanding of test management processes using Jira. You’ll learn how to create and manage projects, create Jira tickets to manage customer requirements, and track Jira tickets. You’ll also understand how to develop test plans, test cases, and test suites, and create defects and requirement traceability matrices, as well as generating reports in Jira. Toward the end, you’ll understand how Jira can help the SQA teams to use the DevOps pipeline for automating execution and managing test cases. You’ll get to grips with configuring Jira with Jenkins to execute automated test cases in Selenium. By the end of this book, you’ll have gained a clear understanding of how to model and implement test management processes using Jira.
With a large demand for responsive websites and availability of services, IT administrators are faced with an ever-rising need for services that are optimized for speed. NetScaler VPX is a software-based virtual appliance that provides users with the comprehensive NetScaler feature set. Implementing apps and cloud-based services is much easier with its increased service performance and integrated security features.This book will give you an insight into all the new features that NetScaler VPX™ has to offer. Starting off with the basics, you will learn how to set NetScaler up and configure it in a virtual environment including the new features available in version 11, such as unified gateway and portal theme customization. Next, the book will cover how to deploy NetScalar on Azure and Amazon, and you will also discover how to integrate it with an existing Citrix infrastructure. Next, you will venture into other topics such as load balancing Microsoft and Citrix solutions, configuring different forms of high availability Global Server Load Balancing (GSLB), and network optimization. You will also learn how to troubleshoot and analyze data using NetScaler's extensive array of features.Finally, you will discover how to protect web services using an application firewall and will get to grips with other features such as HTTP, DOS, and AAA.