Object-Oriented Programming in ColdFusion. Break free from procedural programming and learn how to optimize your applications and enhance your skills using objects and design patterns

Matt Gifford, Matthew Gifford

Are you tired of procedural programming or is your extensive code base starting to become un-manageable? Breathe some new life into your code and improve your development skills with the basic concepts of object-oriented programming. Utilize objects, modular components, and design patterns to expand your skills and improve your ColdFusion applications. Packed with example code, and written in a friendly, easy-to-read style, this book is just what you need if you are serious about ColdFusion.This book is a fast-paced tutorial to important ColdFusion object-oriented programming topics. It will give you clear, concise, and practical guidance to take you from the basics of ColdFusion to the skills that will make you a ColdFusion developer to be reckoned with. Don't be put off by jargon or complex diagrams; read and see how you can benefit from this book and extend your development skills in the process.Using the practical examples within this guide, you will learn how to structure your applications and code, applying the fundamental basics of object-oriented programming to develop modular, reusable components that will scale easily with your application. You will learn the basic fundamental practices of object-oriented programming, from object creation and re-use, to Bean objects, service layers, Data Access objects, and sample design patterns to gain a better understanding of OOP using examples that can be altered and applied in your application. Complete with detailed code samples and snippets, and written in a friendly easy-to-follow style, you will be able to break free from writing purely procedural code and enhance your applications by building structured applications utilizing basic design patterns and object-oriented principles.

PostgreSQL 11 Administration Cookbook. Over 175 recipes for database administrators to manage enterprise databases

Simon Riggs, Gianni Ciolli, Sudheer Kumar Meesala

PostgreSQL is a powerful, open source database management system with an enviable reputation for high performance and stability. With many new features in its arsenal, PostgreSQL 11 allows you to scale up your PostgreSQL infrastructure. This book takes a step-by-step, recipe-based approach to effective PostgreSQL administration.The book will introduce you to new features such as logical replication, native table partitioning, additional query parallelism, and much more to help you to understand and control, crash recovery and plan backups. You will learn how to tackle a variety of problems and pain points for any database administrator such as creating tables, managing views, improving performance, and securing your database. As you make steady progress, the book will draw attention to important topics such as monitoring roles, backup, and recovery of your PostgreSQL 11 database to help you understand roles and produce a summary of log files, ensuring high availability, concurrency, and replication.By the end of this book, you will have the necessary knowledge to manage your PostgreSQL 11 database efficiently.

Mathematica Data Analysis. Learn and explore the fundamentals of data analysis with power of Mathematica

Sergiy Suchok

There are many algorithms for data analysis and it’s not always possible to quickly choose the best one for each case. Implementation of the algorithms takes a lot of time. With the help of Mathematica, you can quickly get a result from the use of a particular method, because this system contains almost all the known algorithms for data analysis.If you are not a programmer but you need to analyze data, this book will show you the capabilities of Mathematica when just few strings of intelligible code help to solve huge tasks from statistical issues to pattern recognition. If you're a programmer, with the help of this book, you will learn how to use the library of algorithms implemented in Mathematica in your programs, as well as how to write algorithm testing procedure.With each chapter, you'll be more immersed in the special world of Mathematica. Along with intuitive queries for data processing, we will highlight the nuances and features of this system, allowing you to build effective analysis systems.With the help of this book, you will learn how to optimize the computations by combining your libraries with the Mathematica kernel.

Game Development with Rust and WebAssembly. Learn how to run Rust on the web while building a game

Eric Smith

The Rust programming language has held the most-loved technology ranking on Stack Overflow for 6 years running, while JavaScript has been the most-used programming language for 9 years straight as it runs on every web browser. Now, thanks to WebAssembly (or Wasm), you can use the language you love on the platform that's everywhere.This book is an easy-to-follow reference to help you develop your own games, teaching you all about game development and how to create an endless runner from scratch. You'll begin by drawing simple graphics in the browser window, and then learn how to move the main character across the screen. You'll also create a game loop, a renderer, and more, all written entirely in Rust. After getting simple shapes onto the screen, you'll scale the challenge by adding sprites, sounds, and user input. As you advance, you'll discover how to implement a procedurally generated world. Finally, you'll learn how to keep your Rust code clean and organized so you can continue to implement new features and deploy your app on the web.By the end of this Rust programming book, you'll build a 2D game in Rust, deploy it to the web, and be confident enough to start building your own games.

Python Image Processing Cookbook. Over 60 recipes to help you perform complex image processing and computer vision tasks with ease

Sandipan Dey

With the advancements in wireless devices and mobile technology, there's increasing demand for people with digital image processing skills in order to extract useful information from the ever-growing volume of images. This book provides comprehensive coverage of the relevant tools and algorithms, and guides you through analysis and visualization for image processing.With the help of over 60 cutting-edge recipes, you'll address common challenges in image processing and learn how to perform complex tasks such as object detection, image segmentation, and image reconstruction using large hybrid datasets. Dedicated sections will also take you through implementing various image enhancement and image restoration techniques, such as cartooning, gradient blending, and sparse dictionary learning. As you advance, you'll get to grips with face morphing and image segmentation techniques. With an emphasis on practical solutions, this book will help you apply deep learning techniques such as transfer learning and fine-tuning to solve real-world problems.By the end of this book, you'll be proficient in utilizing the capabilities of the Python ecosystem to implement various image processing techniques effectively.

RStudio for R Statistical Computing Cookbook. Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature

Andrea Cirillo

The requirement of handling complex datasets, performing unprecedented statistical analysis, and providing real-time visualizations to businesses has concerned statisticians and analysts across the globe. RStudio is a useful and powerful tool for statistical analysis that harnesses the power of R for computational statistics, visualization, and data science, in an integrated development environment.This book is a collection of recipes that will help you learn and understand RStudio features so that you can effectively perform statistical analysis and reporting, code editing, and R development. The first few chapters will teach you how to set up your own data analysis project in RStudio, acquire data from different data sources, and manipulate and clean data for analysis and visualization purposes. You'll get hands-on with various data visualization methods using ggplot2, and you will create interactive and multidimensional visualizations with D3.js. Additional recipes will help you optimize your code; implement various statistical models to manage large datasets; perform text analysis and predictive analysis; and master time series analysis, machine learning, forecasting; and so on. In the final few chapters, you'll learn how to create reports from your analytical application with the full range of static and dynamic reporting tools that are available in RStudio so that you can effectively communicate results and even transform them into interactive web applications.

SAP BusinessObjects Dashboards 4.1 Cookbook. Over 100 simple and incredibly effective recipes to help transform your static business data into exciting dashboards filled with dynamic charts and graphics

David Lai, XJ Hacking, David Lai, Xavier Jean-Marie Hacking

Serverless Analytics with Amazon Athena. Query structured, unstructured, or semi-structured data in seconds without setting up any infrastructure

Anthony Virtuoso, Mert Turkay Hocanin, Aaron Wishnick, Rahul Pathak

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using SQL, without needing to manage any infrastructure.This book begins with an overview of the serverless analytics experience offered by Athena and teaches you how to build and tune an S3 Data Lake using Athena, including how to structure your tables using open-source file formats like Parquet. You’ll learn how to build, secure, and connect to a data lake with Athena and Lake Formation. Next, you’ll cover key tasks such as ad hoc data analysis, working with ETL pipelines, monitoring and alerting KPI breaches using CloudWatch Metrics, running customizable connectors with AWS Lambda, and more. Moving on, you’ll work through easy integrations, troubleshooting and tuning common Athena issues, and the most common reasons for query failure. You will also review tips to help diagnose and correct failing queries in your pursuit of operational excellence. Finally, you’ll explore advanced concepts such as Athena Query Federation and Athena ML to generate powerful insights without needing to touch a single server.By the end of this book, you’ll be able to build and use a data lake with Amazon Athena to add data-driven features to your app and perform the kind of ad hoc data analysis that often precedes many of today’s ML modeling exercises.