Monkey Game Development: Beginner's Guide. Create monetized 2d games deployable to almost any platform with this book and

Michael Hartlef

Monkey is a programming language and toolset that allows its user to develop modern 2D games easily for mobile and other platforms like iOS, Android, HTML5, FLASH, OSX, Windows and XNA. With Monkey you can create best selling games in a matter of weeks, instead of months.Monkey Game Development Beginner's Guide provides easy-to-follow step by step instructions on how to create eight different 2D games and how to deploy them to various platforms and markets. Learning about the structure of Monkey and how everything works together you will quickly create eight classical games and publish them to the modern app markets. Throughout the book you will learn important game development techniques like collision detection, handling player input with mouse, keyboard or touch events and creating challenging computer AI. The author explains how to emit particle effects, play sound and music files, use sprite sheets, load or save high-score tables and handle different device resolutions. Finally you will learn how to monetize your games so you can generate revenue.

Building Your Own JavaScript Framework. Architect extensible and reusable framework systems

Vlad Filippov, Mike Taylor

JavaScript frameworks play an essential role in web application development; however, no single framework works perfectly for all projects. This book will help you understand existing projects, design new software architecture, and maintain projects as they grow. You’ll go through software architecture principles with JavaScript, along with a guided example of structuring your project and maintenance guidance.This book covers framework planning aspects, enabling you to identify key stakeholders, understand JavaScript API design, and leverage complex abstraction. The second part of the book takes a practical programming approach to building your own framework by showing you how to structure modules and interfaces. As you advance, you’ll discover how to develop data-binding components, work with JavaScript APIs, and much more. While writing a framework is half the job, continuing to develop it requires effort from everyone involved. The concluding chapters help to achieve this by teaching you the crucial aspects of software maintenance and highlighting the constants of framework development.By the end of this book, you’ll have gained a clear understanding of the JavaScript framework landscape, along with the ability to build frameworks for your use cases.

The Complete VMware vSphere Guide. Design a virtualized data center with VMware vSphere 6.7

Mike Brown, Hersey Cartwright, Martin Gavanda, Andrea Mauro, ...

vSphere 6.7 is the latest release of VMware's industry-leading virtual cloud platform. By understanding how to manage, secure, and scale apps with vSphere 6.7, you can easily run even the most demanding of workloads. This Learning Path begins with an overview of the features of the vSphere 6.7 suite. You'll learn how to plan and design a virtual infrastructure. You'll also gain insights into best practices to efficiently configure, manage, and secure apps. Next, you'll pick up on how to enhance your infrastructure with high-performance storage access, such as remote direct memory access (RDMA) and Persistent memory. The book will even guide you in securing your network with security features, such as encrypted vMotion and VM-level encryption. Finally, by learning how to apply Proactive High Availability and Predictive Distributed Resource Scheduler (DRS), you'll be able to achieve enhanced computing, storage, network, and management capabilities for your virtual data center.By the end of this Learning Path, you'll be able to build your own VMware vSphere lab that can run high workloads.This Learning Path includes content from the following Packt products:VMware vSphere 6.7 Data Center Design Cookbook - Third Edition by Mike Brown and Hersey CartwrightMastering VMware vSphere 6.7 - Second Edition by Martin Gavanda, Andrea Mauro, Karel Novak, and Paolo Valsecchi

Oracle Hyperion Interactive Reporting 11 Expert Guide. Learn Advanced Dashboards, JavaScript, Computations, and Special Topics from the Experts

Edward J. Cody, Emily M. Vose, Emily Vose, Edward Cody

Oracle Hyperion Interactive Reporting is one of many products in the Oracle Business Intelligence Enterprise Edition Plus software suite, an industry-leading business intelligence platform. The primary focus of the Interactive Reporting product is to provide strong relational querying and data analysis capabilities, where the software provides significant flexibility for creating custom dashboards, interfaces, and data analysis routines through the use of JavaScript programming and built-in software functionality. While Interactive Reporting is extremely flexible, performing advanced operations in the software is complicated and requires basic programming knowledge and an advanced understanding of the software. This book continues from where The Business Analyst’s Guide to Oracle Hyperion Interactive Reporting 11 completed and provides the reader with the information to successfully execute the advanced features of the product along with examples and specific techniques applicable to everyday use.The Oracle Hyperion Interactive Reporting 11 Expert Guide provides software users and developers with many examples of the techniques used by software experts. The book begins with an introduction to leveraging advanced features of the project and an introduction to JavaScript. Dashboards are a major focus of the book with four chapters focused on building a simple to complex dashboard including functions, global objects, and syncing selections across dashboards. The book places an emphasis on learning methods for data analysis by using advanced programming and built-in functions, and a unique approach to using code to generate batch reports and exports is provided. The Dashboard Studio Optimize Utility and the Dashboard Studio Merge utility are explained in detail, and the approach to building and using a central code repository for use in dashboards and computations across multiple documents in an enterprise is demonstrated. This book will help the reader become an expert user of the software, providing the skills necessary to understand, communicate, and perform advanced level tasks. The authors’ experience in developing and supporting Interactive Reporting users is very apparent throughout each chapter of the book. While the book displays content and examples from version 11 of the software, the book is also applicable to previous versions of the software dating back to version 8, so readers not currently using Interactive Reporting 11 will find the book applicable to daily use with the product.

Google Visualization API Essentials. Make sense of your data: make it visual with the Google Visualization API

Traci Lynn Ruthkoski

There's a lot of data in our world, and visual representations are often the best method of making sense of it all. Yet, it should not take an army of programmers and analysts to create visualizations in order to make data useful. The Google Visualization API is accessible to novice and advanced programmers alike, making data useful to more people.Google Visualization API Essentials will show you how to create interactive data displays with very little code. The API, combined with Google Spreadsheets and Fusion Tables, is a complete system, from data management to analytical displays. Not only is it simple to learn, but the Google Visualization API can also be viewed as a first step to learning additional Google APIs.Google Visualization API Essentials uses both methodology overviews and hands-on examples with real data to introduce chart and graph creation on the Google platform. Topics are presented from various aspects, including Google Spreadsheets and Fusion Tables, and Graphic User Interfaces. An overview of the various API development environments available to developers is also covered. Basic and advanced charts, data source connectivity, style formatting, and publishing options are also explored in depth.Google Visualization API Essentials brings the arsenal of Google Visualizations into the web developer toolkit.

Google Cloud Associate Cloud Engineer Certification and Implementation Guide. Master the deployment, management, and monitoring of Google Cloud solutions

Agnieszka Koziorowska, Wojciech Marusiak

Google Cloud Platform (GCP) is a leading cloud provider, helping companies and users worldwide to solve the most challenging business issues. This book will teach cloud engineers working with GCP how to implement, configure, and secure cloud environment, and help students gain confidence in utilizing various GCP services.The book begins by introducing you to Google Cloud and the ACE exam, including various resources that can help you pass. The next set of chapters will help you explore the various compute options in Google Cloud, such as Google Kubernetes Engine and Google Compute Engine. As you advance, you'll gain a clear understanding of the essence of the cloud, including networking and storage, as well as the data analytics products that Google Cloud provides. The chapters also cover key topics such as monitoring, logging, diagnostics, and price estimation along with the most crucial of subjects, security, with a particular focus on identity and access management. Finally, you'll be given the chance to test your newfound knowledge with the help of two mock exams.By the end of this book, you’ll have learned the difference between various Google Cloud Platform services, along with specific use cases, and be able to implement these services with the GCP console and command-line utilities.

Machine Learning with Scala Quick Start Guide. Leverage popular machine learning algorithms and techniques and implement them in Scala

Md. Rezaul Karim

Scala is a highly scalable integration of object-oriented nature and functional programming concepts that make it easy to build scalable and complex big data applications. This book is a handy guide for machine learning developers and data scientists who want to develop and train effective machine learning models in Scala.The book starts with an introduction to machine learning, while covering deep learning and machine learning basics. It then explains how to use Scala-based ML libraries to solve classification and regression problems using linear regression, generalized linear regression, logistic regression, support vector machine, and Naïve Bayes algorithms.It also covers tree-based ensemble techniques for solving both classification and regression problems. Moving ahead, it covers unsupervised learning techniques, such as dimensionality reduction, clustering, and recommender systems. Finally, it provides a brief overview of deep learning using a real-life example in Scala.

Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques

Serge Gershkovich, Kent Graziano

The Snowflake Data Cloud is one of the fastest-growing platforms for data warehousing and application workloads. Snowflake's scalable, cloud-native architecture and expansive set of features and objects enables you to deliver data solutions quicker than ever before.Yet, we must ensure that these solutions are developed using recommended design patterns and accompanied by documentation that’s easily accessible to everyone in the organization.This book will help you get familiar with simple and practical data modeling frameworks that accelerate agile design and evolve with the project from concept to code. These universal principles have helped guide database design for decades, and this book pairs them with unique Snowflake-native objects and examples like never before – giving you a two-for-one crash course in theory as well as direct application.By the end of this Snowflake book, you’ll have learned how to leverage Snowflake’s innovative features, such as time travel, zero-copy cloning, and change-data-capture, to create cost-effective, efficient designs through time-tested modeling principles that are easily digestible when coupled with real-world examples.