Learning NGUI for Unity. Leverage the power of NGUI for Unity to create stunning mobile and PC games and user interfaces

Charles Bernardoff, Charles Bernardoff (EURO)

Mobile Game Design Essentials. Immerse yourself in the fundamentals of mobile game design. This book is written by two highly experienced industry professionals to give real insights and valuable advice on creating games for this lucrative market

Claudio Scolastici, David M Nolte

The videogame industry is not affected by the economic crisis as the market expands each year. In addition to that, the mobile market offers the opportunity to small teams with limited budgets to create successful games that can compete with the big companies. This is a guide to help you take a share of this huge market.Mobile Game Design Essentials will teach you how to develop professional quality games for mobile platforms. You will learn how to take advantage of devices and their built-in technologies. Get to know the best software and programming languages to create videogames from scratch and detailed tutorials to get your hands dirty with the common practices of game development.Mobile Game Design Essentials introduces you to smartphones, their operating systems, and development environments. It describes in detail the roles required by an indie team of mobile developers, the most popular software to create graphics and audio for games, the most used programming languages, and the best game engines. It also provides several tutorials detailing efficient game development and prototyping.Starting with a description of the mobile platforms and the roles to cover when building up your own indie team, Mobile Game Design Essentials then provides a description of the techniques and software used to create graphics and audio for games and the coding languages and development environments used by programmers. It also aims to acquaint you with the best practices of mobile game design and development, by addressing the importance of the prototype-test-polish cycle and the analysis of the distinctive aspects of mobile game design. Finally, it concludes with a step-by-step guide to create the presentation document for your next mobile game.Mobile Game Design Essentials covers everything you need to know to get started in the mobile game industry; from collecting your team, recommendations on development software, to marketing and publication.

R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms

Nathan H. Danneman, Richard Heimann, Pradeepta Mishra, Bater Makhabel

Data mining is the first step to understanding data and making sense of heaps of data. Properly mined data forms the basis of all data analysis and computing performed on it. This learning path will take you from the very basics of data mining to advanced data mining techniques, and will end up with a specialized branch of data mining—social media mining.You will learn how to manipulate data with R using code snippets and how to mine frequent patterns, association, and correlation while working with R programs. You will discover how to write code for various predication models, stream data, and time-series data. You will also be introduced to solutions written in R based on R Hadoop projects. Now that you are comfortable with data mining with R, you will move on to implementing your knowledge with the help of end-to-end data mining projects. You will learn how to apply different mining concepts to various statistical and data applications in a wide range of fields. At this stage, you will be able to complete complex data mining cases and handle any issues you might encounter during projects.After this, you will gain hands-on experience of generating insights from social media data. You will get detailed instructions on how to obtain, process, and analyze a variety of socially-generated data while providing a theoretical background to accurately interpret your findings. You will be shown R code and examples of data that can be used as a springboard as you get the chance to undertake your own analyses of business, social, or political data.This 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:? Learning Data Mining with R by Bater Makhabel ? R Data Mining Blueprints by Pradeepta Mishra? Social Media Mining with R by Nathan Danneman and Richard Heimann

User Training for Busy Programmers. Develop effective software training classes quickly and easily

William Rice, William Rice

If you need to write a successful software training course and are unsure of how to start, then this book gets right to the point with clear, concise directions for developing an end-user software course. This step-by-step job aid walks you through the process of developing a successful, instructor-led software class. There are many good books on training theory. This book takes a more practical, condensed approach for when you don't have time to learn training theory. It is based on fifteen years of technical writing and training experience. In under 100 pages, the book guides you through the process of developing an end-user software course using a method that is tested, proven, and based upon sound instructional theory.

Learning jqPlot. Learn how to create your very own rich and intuitive JavaScript data visualizations using jqPlot

Scott Gottreu

Oracle JD Edwards EnterpriseOne 9.0: Supply Chain Management Cookbook. Over 130 simple but incredibly effective recipes for configuring, supporting, and enhancing EnterpriseOne SCM with this book and

Kashif Rasheed

Oracle's JD Edwards Enterprise One Supply Chain Management (SCM) aids your business in enhancing your interactions with enterprise suppliers, and this practical cookbook provides essential implementation sequences to make the most of the suite. The functionality across the application described in this comprehensive guide allows you to be proactive in reacting to real-time information and developing procurement strategies and best practices.Oracle JD Edwards EnterpriseOne 9.0: Supply Chain Management Cookbook explains with step by step instructions how to fully implement the EnterpriseOne Supply Chain suite, set up Inventory Management, Procurement Management and Sales Order Management, and much more. Each chapter will provide you the details of setup-related information, and instructions which will direct you in configuring your company's business processes.This business-ready cookbook provides you with all the instructions you need to set up the SCM application, and utilize it based on your company's individual business requirements. It begins by demonstrating how to review inventory quantity information and perform physical inventory through cycle count and tag count, and later moves onto how to configure the interactive application, and how to set up the batch versions.Along the way it will also cover the item master information, classification, AAI setup, and system integration. Ultimately, Oracle JD Edwards EnterpriseOne 9.0: Supply Chain Management Cookbook will equip you with the knowledge to configure and take advantage of the entire SCM system.

Learning Salesforce Visual Workflow. Click your way to automating your various business processes using Salesforce Visual Workflow

Rakesh Gupta

Bootstrap Site Blueprints. Without Bootstrap your web designs may not be reaching their full potential. This book will change that through a series of hands-on projects covering everything from custom icon fonts to JavaScript plugins

David Cochran, Ian Whitley

Azure Serverless Computing Cookbook. Build and monitor Azure applications hosted on serverless architecture using Azure functions - Third Edition

Praveen Kumar Sreeram

This third edition of Azure Serverless Computing Cookbook guides you through the development of a basic back-end web API that performs simple operations, helping you understand how to persist data in Azure Storage services. You'll cover the integration of Azure Functions with other cloud services, such as notifications (SendGrid and Twilio), Cognitive Services (computer vision), and Logic Apps, to build simple workflow-based applications.With the help of this book, you'll be able to leverage Visual Studio tools to develop, build, test, and deploy Azure functions quickly. It also covers a variety of tools and methods for testing the functionality of Azure functions locally in the developer's workstation and in the cloud environment. Once you're familiar with the core features, you'll explore advanced concepts such as durable functions, starting with a hello world example, and learn about the scalable bulk upload use case, which uses durable function patterns, function chaining, and fan-out/fan-in.By the end of this Azure book, you'll have gained the knowledge and practical experience needed to be able to create and deploy Azure applications on serverless architectures efficiently.

Microsoft 365 and SharePoint Online Cookbook. A complete guide to Microsoft Office 365 apps including SharePoint, Power Platform, Copilot and more - Second Edition

Gaurav Mahajan, Sudeep Ghatak, Nate Chamberlain, Scott Brewster, ...

Microsoft 365 offers tools for content management, communication, process automation, and report creation. Microsoft 365 and SharePoint Online Cookbook maximizes workplace collaboration and productivity using SharePoint Online, Teams, OneDrive, Delve, M365 Search, Copilot, Power Platform, Viva, Planner, and Microsoft Forms.You will find thoroughly updated recipes for SharePoint Online, covering sites, lists, libraries, pages, web parts, and learn SharePoint Framework (SPFx) basics for building solutions. You will explore many Microsoft Teams recipes to prepare it to be your organization’s central collaboration hub. You will be able to unlock Power Platform potential with recipes for Power Apps to enable low-code/no-code app development and learn to automate tasks with Power Automate and Power Automate Desktop. The book teaches you data visualization with Power BI, and chatbot creation with Power Virtual Agents (Copilot Studio). Finally, you will also learn about the cutting-edge Copilot and Gen AI functionality in Microsoft 365 and Power Platform. By the end, you will be equipped with skills to effectively use Microsoft 365, SharePoint Online, and the Power Platform.Whether it's enhancing career prospects or improving business operations, this book is a perfect companion on your journey through the Microsoft Office 365 suite.

Mastering Yii. Click here to enter text

Charles R. Portwood ll

The successor of Yii Framework 1.1, Yii 2 is a complete rewrite of Yii Framework, one of the most popular PHP 5 frameworks around for making modern web applications. The update embraces the best practices and protocols established with newer versions of PHP, while still maintaining the simple, fast, and extendable behavior found in its predecessor.This book has been written to enhance your skills and knowledge with Yii Framework 2. Starting with configuration and how to initialize new projects, you’ll learn how to configure, manage, and use every aspect of Yii2 from Gii, DAO, Query Builder, Active Record, and migrations, to asset manager. You'll also discover how to automatically test your code using codeception.With this book by your side, you’ll have all the skills you need to quickly create rich modern web and console applications with Yii 2.

Implementing OpenShift. The cloud is a liberating environment when you learn to master OpenShift. Follow this practical tutorial to develop and deploy applications in the cloud and use OpenShift for your own Platform-as-a-Service

Adam Miller

Gone are the days of having to provision hardware, deploy, and manage an entire environment just to write code for the next big idea, project, or custom web application. A Platform-as-a-Service cloud aims to fulfill this need, allowing developers to work more efficiently as well as allowing DevOps teams to spend less time fulfilling requests for these environments. Join us as we move into the future with OpenShift.Implementing OpenShift will walk the reader through how to easily develop and deploy upon an open source OpenShift Platform-as-a-Service. We will then discuss the architecture of the platform so that users have some insight into the inner workings of the environment. We will then take a step away from the user aspect and cover DevOps topics so that we can perform the deployment of our very own open source Platform-as-a-Service using the upstream OpenShift Origin code base.Developers are no longer in need of provisioning full-scale development environments by provisioning servers, installing and configuring software, and maintaining infrastructure just to write software. This book will show you how developers can move out of this archaic mindset and into the future utilizing OpenShift Platform-as-a-Service technologies, breaking away from the marketing jargon and into the technology that allows developers to get work done. This book also delves into the realm of DevOps, allowing you to run your own environment to support your development teams more efficiently.This book will show you how the OpenShift Platform-as-a-Service can redefine the way web application developers work by providing the building blocks upon which they are able to create their next big idea. From there, the reader will progress through the OpenShift architecture and on to a brisk automated deployment using DevOps technologies.You will learn everything you need to know in order to use OpenShift to develop and deploy applications in the cloud as well as how to deploy your very own OpenShift Origin-based Platform-as-a-Service cloud.

Learning Android Application Testing. Improve your Android applications through intensive testing and debugging

Paul Blundell, Paul Blundell, Eduardo Diego Torres Milano

Practical Maya Programming with Python. Unleash the power of Python in Maya and unlock your creativity

Robert Galanakis

Principles of Data Fabric. Become a data-driven organization by implementing Data Fabric solutions efficiently

Sonia Mezzetta

Data can be found everywhere, from cloud environments and relational and non-relational databases to data lakes, data warehouses, and data lakehouses. Data management practices can be standardized across the cloud, on-premises, and edge devices with Data Fabric, a powerful architecture that creates a unified view of data. This book will enable you to design a Data Fabric solution by addressing all the key aspects that need to be considered.The book begins by introducing you to Data Fabric architecture, why you need them, and how they relate to other strategic data management frameworks. You’ll then quickly progress to grasping the principles of DataOps, an operational model for Data Fabric architecture. The next set of chapters will show you how to combine Data Fabric with DataOps and Data Mesh and how they work together by making the most out of it. After that, you’ll discover how to design Data Integration, Data Governance, and Self-Service analytics architecture. The book ends with technical architecture to implement distributed data management and regulatory compliance, followed by industry best practices and principles.By the end of this data book, you will have a clear understanding of what Data Fabric is and what the architecture looks like, along with the level of effort that goes into designing a Data Fabric solution.

Hands-On Machine Learning with Microsoft Excel 2019. Build complete data analysis flows, from data collection to visualization

Julio Cesar Rodriguez Martino

We have made huge progress in teaching computers to perform difficult tasks, especially those that are repetitive and time-consuming for humans. Excel users, of all levels, can feel left behind by this innovation wave. The truth is that a large amount of the work needed to develop and use a machine learning model can be done in Excel.The book starts by giving a general introduction to machine learning, making every concept clear and understandable. Then, it shows every step of a machine learning project, from data collection, reading from different data sources, developing models, and visualizing the results using Excel features and offerings. In every chapter, there are several examples and hands-on exercises that will show the reader how to combine Excel functions, add-ins, and connections to databases and to cloud services to reach the desired goal: building a full data analysis flow. Different machine learning models are shown, tailored to the type of data to be analyzed.At the end of the book, the reader is presented with some advanced use cases using Automated Machine Learning, and artificial neural network, which simplifies the analysis task and represents the future of machine learning.

Hands-On Deep Learning with R. A practical guide to designing, building, and improving neural network models using R

Michael Pawlus, Rodger Devine

Deep learning enables efficient and accurate learning from a massive amount of data. This book will help you overcome a number of challenges using various deep learning algorithms and architectures with R programming.This book starts with a brief overview of machine learning and deep learning and how to build your first neural network. You’ll understand the architecture of various deep learning algorithms and their applicable fields, learn how to build deep learning models, optimize hyperparameters, and evaluate model performance. Various deep learning applications in image processing, natural language processing (NLP), recommendation systems, and predictive analytics will also be covered. Later chapters will show you how to tackle recognition problems such as image recognition and signal detection, programmatically summarize documents, conduct topic modeling, and forecast stock market prices. Toward the end of the book, you will learn the common applications of GANs and how to build a face generation model using them. Finally, you’ll get to grips with using reinforcement learning and deep reinforcement learning to solve various real-world problems.By the end of this deep learning book, you will be able to build and deploy your own deep learning applications using appropriate frameworks and algorithms.

Learning jQuery. Create better interaction, design, and web development with simple JavaScript techniques

jQuery Foundation, Karl Swedberg, Jonathan Chaffer

To build interesting, interactive sites, developers are turning to JavaScript libraries such as jQuery to automate common tasks and simplify complicated ones. Because many web developers have more experience with HTML and CSS than with JavaScript, the library's design lends itself to a quick start for designers with little programming experience. Experienced programmers will also be aided by its conceptual consistency.Learning jQuery Third Edition is revised and updated for version 1.6 of jQuery. You will learn the basics of jQuery for adding interactions and animations to your pages. Even if previous attempts at writing JavaScript have left you baffled, this book will guide you past the pitfalls associated with AJAX, events, effects, and advanced JavaScript language features.Starting with an introduction to jQuery, you will first be shown how to write a functioning jQuery program in just three lines of code. Learn how to add impact to your actions through a set of simple visual effects and to create, copy, reassemble, and embellish content using jQuery's DOM modification methods. The book will step you through many detailed, real-world examples, and even equip you to extend the jQuery library itself with your own plug-ins.

Instant Oracle BPM for Financial Services How-to. Discover how to leverage BPM in the financial sector

B. M. Madhusudhan Rao, B.M Madhusudhan Rao

Oracle Business Process Management helps in process automation and improvement with a very high level of flexibility for all the process participants from the process planning team to the end users. It also makes it possible to have corporate employees and customers collaborating towards common goals.Instant Oracle BPM for Financial Services How-to covers many concepts that can be easily reused across industries such as core banking, healthcare, travel, self service automation, e-governance, and so on. It highlights various roles of Business Process Management such as Business Process Modeling, Process Developer, Process Owner, and Process Participant along with the way they work together in a financial services environment.Instant Oracle BPM for Financial Services How-to is your guide to implementing Oracle Business Process Management whilst working in the Financial Services industry.Starting through the discovering of implementation and Business challenges for financial services we will move on to Modeling, Implementation, Process ork-flow’s, deployment and testing.Moving on to cover advanced topics such as Process administering, changing business processes using process analysts, business reporting, participants and notifications and finally collaboration. You will learn to setup, maintain and alter your Business Process Management aimed specifically for the Financial services industry.

Time Series Analysis on AWS. Learn how to build forecasting models and detect anomalies in your time series data

Michaël Hoarau

Being a business analyst and data scientist, you have to use many algorithms and approaches to prepare, process, and build ML-based applications by leveraging time series data, but you face common problems, such as not knowing which algorithm to choose or how to combine and interpret them. Amazon Web Services (AWS) provides numerous services to help you build applications fueled by artificial intelligence (AI) capabilities. This book helps you get to grips with three AWS AI/ML-managed services to enable you to deliver your desired business outcomes.The book begins with Amazon Forecast, where you’ll discover how to use time series forecasting, leveraging sophisticated statistical and machine learning algorithms to deliver business outcomes accurately. You’ll then learn to use Amazon Lookout for Equipment to build multivariate time series anomaly detection models geared toward industrial equipment and understand how it provides valuable insights to reinforce teams focused on predictive maintenance and predictive quality use cases. In the last chapters, you’ll explore Amazon Lookout for Metrics, and automatically detect and diagnose outliers in your business and operational data.By the end of this AWS book, you’ll have understood how to use the three AWS AI services effectively to perform time series analysis.

Dart Cookbook. Over 110 incredibly effective, useful, and hands-on recipes to design Dart web client and server applications

Ivo Balbaert

Microsoft SQL Server 2012 Integration Services: An Expert Cookbook. Over 80 expert recipes to design, create, and deploy SSIS packages with this book and

Reza Rad, Pedro Perfeito, Pedro M Perfeito, Abolfazl Radgoudarzi

SQL Server Integration Services (SSIS) is a leading tool in the data warehouse industry - used for performing extraction, transformation, and load operations. This book is aligned with the most common methodology associated with SSIS known as Extract Transform and Load (ETL); ETL is responsible for the extraction of data from several sources, their cleansing, customization, and loading into a central repository normally called Data Warehouse or Data Mart.Microsoft SQL Server 2012 Integration Services: An Expert Cookbook covers all the aspects of SSIS 2012 with lots of real-world scenarios to help readers understand usages of SSIS in every environment. Written by two SQL Server MVPs who have in-depth knowledge of SSIS having worked with it for many years.This book starts by creating simple data transfer packages with wizards and illustrates how to create more complex data transfer packages, troubleshoot packages, make robust SSIS packages, and how to boost the performance of data consolidation with SSIS. It then covers data flow transformations and advanced transformations for data cleansing, fuzzy and term extraction in detail. The book then dives deep into making a dynamic package with the help of expressions and variables, and performance tuning and consideration.

Data Cleaning and Exploration with Machine Learning. Get to grips with machine learning techniques to achieve sparkling-clean data quickly

Michael Walker

Many individuals who know how to run machine learning algorithms do not have a good sense of the statistical assumptions they make and how to match the properties of the data to the algorithm for the best results.As you start with this book, models are carefully chosen to help you grasp the underlying data, including in-feature importance and correlation, and the distribution of features and targets. The first two parts of the book introduce you to techniques for preparing data for ML algorithms, without being bashful about using some ML techniques for data cleaning, including anomaly detection and feature selection. The book then helps you apply that knowledge to a wide variety of ML tasks. You’ll gain an understanding of popular supervised and unsupervised algorithms, how to prepare data for them, and how to evaluate them. Next, you’ll build models and understand the relationships in your data, as well as perform cleaning and exploration tasks with that data. You’ll make quick progress in studying the distribution of variables, identifying anomalies, and examining bivariate relationships, as you focus more on the accuracy of predictions in this book.By the end of this book, you’ll be able to deal with complex data problems using unsupervised ML algorithms like principal component analysis and k-means clustering.

Administering ArcGIS for Server. ArcGIS for Server may be relatively new technology, but it doesn’t have to be daunting. This book will take you step by step through the whole process, from customizing the architecture to effective troubleshooting

Hussein Nasser