Augmented Reality using Appcelerator Titanium Starter. Learn to create Augmented Reality applications in no time using the Appcelerator Titanium Framework with this book and

Trevor Ward

Titanium Mobile has quickly become the platform of choice for many mobile developers and is growing and changing at a rapid rate. From the implementation of CommonJS, Cloud Services, MVC design patterns and more, the last year in Titanium development has been a roller coaster of change for the better. Augmented Reality is a hot area for mobile applications and this book along with the augmentedTi open source application will give a great start to all augmented applications. This book will show you how to build an Augmented Reality application, which is clean, efficient and usable. It shows how to hide the processing from the user and build a display which updates and rotates smoothly.Mobile devices have got more powerful, but they still have limitations. Augmented Reality applications test these devices to breaking point and without the correct coding techniques make the applications unresponsive and cumbersome.This book gives a solution, which will enable you to build an effective application, and is accompanied by a complete working application and source code. It's essential for anybody who is creating a multiple points of interest augmented reality application. It shows how to build this type of application efficiently and takes into consideration the devices limitations and processing capabilities.

Python for Algorithmic Trading Cookbook. Recipes for designing, building, and deploying algorithmic trading strategies with Python

Jason Strimpel

Discover how Python has made algorithmic trading accessible to non-professionals with unparalleled expertise and practical insights from Jason Strimpel, founder of PyQuant News and a seasoned professional with global experience in trading and risk management. This book guides you through from the basics of quantitative finance and data acquisition to advanced stages of backtesting and live trading.Detailed recipes will help you leverage the cutting-edge OpenBB SDK to gather freely available data for stocks, options, and futures, and build your own research environment using lightning-fast storage techniques like SQLite, HDF5, and ArcticDB. This book shows you how to use SciPy and statsmodels to identify alpha factors and hedge risk, and construct momentum and mean-reversion factors. You’ll optimize strategy parameters with walk-forward optimization using VectorBT and construct a production-ready backtest using Zipline Reloaded. Implementing all that you’ve learned, you’ll set up and deploy your algorithmic trading strategies in a live trading environment using the Interactive Brokers API, allowing you to stream tick-level data, submit orders, and retrieve portfolio details.By the end of this algorithmic trading book, you'll not only have grasped the essential concepts but also the practical skills needed to implement and execute sophisticated trading strategies using Python.

Salesforce CPQ Implementation Handbook. Configure Salesforce CPQ products to close more deals and generate higher revenue for your business

Madhu Ramanujan

Salesforce CPQ is innovative software that enables you create better quotes, improve quoting accuracy, and maximize sales and deals. It also provides a quick analysis of profits and losses, helping you improve the overall execution of sales processes, and allows a great deal of flexibility for your prospects, customers, and business partners.The book starts with the Quote-2-Cash business process in Salesforce and shows you how to assess when a business needs to implement CPQ. You’ll then progress to configuring opportunities, quotes, and CPQ products. As you advance, you’ll understand how to define and configure price books, price rules for CPQ quote automation, multidimensional quoting, and more. Next, you'll look at how to configure CPQ guided selling and create package configurations, contracts, and amendments. Later chapters will demonstrate how to perform data migration from a legacy system and the order in which the objects are to be migrated. You’ll also explore CPQ billing and its advantages with the help of different use cases before learning about Industries CPQ and how it is different from standard Salesforce CPQ. Finally, you’ll discover best practices for achieving optimal CPQ performance and avoiding performance bottlenecks.By the end of this Salesforce book, you’ll be able to implement Salesforce CPQ for any business.

Scala: Applied Machine Learning. Master the art of Machine Learning in Scala

Patrick R. Nicolas, Alex Kozlov, Pascal Bugnion

This Learning Path aims to put the entire world of machine learning with Scala in front of you. Scala for Data Science, the first module in this course, is a tutorial guide that provides tutorials on some of the most common Scala libraries for data science, allowing you to quickly get up to speed building data science and data engineering solutions.The second course, Scala for Machine Learning guides you through the process of building AI applications with diagrams, formal mathematical notation, source code snippets, and useful tips. A review of the Akka framework and Apache Spark clusters concludes the tutorial.The next module, Mastering Scala Machine Learning, is the final step in this course. It will take your knowledge to next level and help you use the knowledge to build advanced applications such as social media mining, intelligent news portals, and more. After a quick refresher on functional programming concepts using REPL, you will see some practical examples of setting up the development environment and tinkering with data. We will then explore working with Spark and MLlib using k-means and decision trees.By the end of this course, you will be a master at Scala machine learning and have enough expertise to be able to build complex machine learning projects using Scala.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:? Scala for Data Science, Pascal Bugnion? Scala for Machine Learning, Patrick Nicolas? Mastering Scala Machine Learning, Alex Kozlov

Scala Functional Programming Patterns. Grok and perform effective functional programming in Scala

Atul S. Khot

Scala is used to construct elegant class hierarchies for maximum code reuse and extensibility and to implement their behavior using higher-order functions. Its functional programming (FP) features are a boon to help you design “easy to reason about” systems to control the growing software complexities. Knowing how and where to apply the many Scala techniques is challenging. Looking at Scala best practices in the context of what you already know helps you grasp these concepts quickly, and helps you see where and why to use them. This book begins with the rationale behind patterns to help you understand where and why each pattern is applied. You will discover what tail recursion brings to your table and will get an understanding of how to create solutions without mutations. We then explain the concept of memorization and infinite sequences for on-demand computation. Further, the book takes you through Scala’s stackable traits and dependency injection, a popular technique to produce loosely-coupled software systems.You will also explore how to currying favors to your code and how to simplify it by de-construction via pattern matching. We also show you how to do pipeline transformations using higher order functions such as the pipes and filters pattern. Then we guide you through the increasing importance of concurrent programming and the pitfalls of traditional code concurrency. Lastly, the book takes a paradigm shift to show you the different techniques that functional programming brings to your plate.This book is an invaluable source to help you understand and perform functional programming and solve common programming problems using Scala’s programming patterns.

Terraform for Google Cloud Essential Guide. Learn how to provision infrastructure in Google Cloud securely and efficiently

Bernd Nordhausen

Google Cloud has adopted Terraform as the standard Infrastructure as Code tool. This necessitates a solid understanding of Terraform for any cloud architect or engineer working on Google Cloud. Yet no specific resources are available that focus on how to use Terraform on Google Cloud.This is the first book that teaches Terraform specifically for Google Cloud. You will take a journey from the basic concepts through to deploying complex architectures using Terraform. Using extensive code examples, you will receive guidance on how to authenticate Terraform in Google Cloud. As you advance, you’ll get to grips with all the essential concepts of the Terraform language as applied to Google Cloud and deploy complete working architectures at the push of a button. Finally, you’ll also be able to improve your Terraform workflow using Google Cloud native and third-party tools.By the end of this Terraform book, you will have gained a thorough understanding of Terraform and how to use it on Google Cloud, and be able to develop effective Terraform code, build reusable code, and utilize public domain Terraform modules to deploy on Google Cloud faster and more securely.

Delphi Programming Projects. Build a range of exciting projects by exploring cross-platform development and microservices

William Duarte

Delphi is a cross-platform programming language and software development kit that supports rapid application development for Microsoft Windows, Apple Mac OS X, Android, and iOS.With the help of seven practical projects, this book will guide you through the best practices, Delphi Run-Time Library (RTL) resources, and design patterns. Whether you use the Visual Component Library (VCL) or FireMonkey (FMX) framework, these design patterns will be implemented in the same way in Delphi, using Object Pascal. In the first few chapters, you will explore advanced features that will help you build rich applications using the same code base for both mobile and desktop projects. In addition to this, you’ll learn how to implement microservice architecture in Delphi. As you get familiar with the various aspects of Delphi, you will no longer need to maintain source code for similar projects, program business rules on screens, or fill your forms with data access components.By the end of this book, you will have gained an understanding of the principles of clean code and become proficient in building robust and scalable applications in Delphi.

F# 4.0 Design Patterns. Solve complex problems with functional thinking

Gene Belitski

Following design patterns is a well-known approach to writing better programs that captures and reuses high-level abstractions that are common in many applications. This book will encourage you to develop an idiomatic F# coding skillset by fully embracing the functional-first F# paradigm. It will also help you harness this powerful instrument to write succinct, bug-free, and cross-platform code.F# 4.0 Design Patterns will start off by helping you develop a functional way of thinking. We will show you how beneficial the functional-first paradigm is and how to use it to get the optimum results. The book will help you acquire the practical knowledge of the main functional design patterns, the relationship of which with the traditional Gang of Four set is not straightforward.We will take you through pattern matching, immutable data types, and sequences in F#. We will also uncover advanced functional patterns, look at polymorphic functions, typical data crunching techniques, adjusting code through augmentation, and generalization. Lastly, we will take a look at the advanced techniques to equip you with everything you need to write flawless code.