Learning .NET High-performance Programming. Learn everything you need to know about performance-oriented programming for the .NET Framework

Antonio Esposito

Three.js Cookbook. Over 80 shortcuts, solutions, and recipes that allow you to create the most stunning visualizations and 3D scenes using the Three.js library

Jos Dirksen

Lift Application Development Cookbook. If you want the ultimate in security for your web applications you need to know the Lift framework. This book lets you dive straight into a whole range of features and techniques thanks to its 50+ practical recipes

Gilberto T. Garcia Jr., Gilberto Tadeu Garcia Jun

Developing secure web applications is one of the most important tasks developers have to deal with. With Lift, it is easy to create solid and formidable web applications as it is the most secure web framework available today. The View-First approach and being able to handle things as purely data transformation, makes working with Lift an exciting task.Lift Application Development Cookbook teaches you how to build web applications using this amazing framework. The book moves gradually, starting with the basics (starting a new project, submitting a form, and so on) before covering more advanced topics such as building a REST API and integrating your application with other technologies and applications.Lift Application Development Cookbook takes you on a journey of creating secure web applications. Step-by-step instructions help you understand how things work and how various elements relate to each other.You'll learn different ways to process a form, build dynamic HTML pages, and create an API using REST. You'll also learn how to work with relational and NoSQL databases and how to integrate your application with other technologies as well as with third-part applications such as Gmail and Facebook.By the end of the book, you will be able to understand how Lift works and be able to build web applications using this amazing and exciting framework.

Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster

Gabriel Preda, D. Sculley, Anthony Goldbloom

Developing Kaggle Notebooks introduces you to data analysis, with a focus on using Kaggle Notebooks to simultaneously achieve mastery in this fi eld and rise to the top of the Kaggle Notebooks tier. The book is structured as a sevenstep data analysis journey, exploring the features available in Kaggle Notebooks alongside various data analysis techniques.For each topic, we provide one or more notebooks, developing reusable analysis components through Kaggle's Utility Scripts feature, introduced progressively, initially as part of a notebook, and later extracted for use across future notebooks to enhance code reusability on Kaggle. It aims to make the notebooks' code more structured, easy to maintain, and readable.Although the focus of this book is on data analytics, some examples will guide you in preparing a complete machine learning pipeline using Kaggle Notebooks. Starting from initial data ingestion and data quality assessment, you'll move on to preliminary data analysis, advanced data exploration, feature qualifi cation to build a model baseline, and feature engineering. You'll also delve into hyperparameter tuning to iteratively refi ne your model and prepare for submission in Kaggle competitions. Additionally, the book touches on developing notebooks that leverage the power of generative AI using Kaggle Models.

Mastering matplotlib. A practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data

Duncan M. McGreggor, Duncan M McGreggor

Persistence Best Practices for Java Applications. Effective strategies for distributed cloud-native applications and data-driven modernization

Otavio Santana, Karina Varela

Having a solid software architecture breathes life into tech solutions. In the early stages of an application’s development, critical decisions need to be made, such as whether to go for microservices, a monolithic architecture, the event-driven approach, or containerization. In Java contexts, frameworks and runtimes also need to be defi ned. But one aspect is often overlooked – the persistence layer – which plays a vital role similar to that of data stores in modern cloud-native solutions. To optimize applications and data stores, a holistic understanding of best practices, technologies, and existing approaches is crucial.This book presents well-established patterns and standards that can be used in Java solutions, with valuable insights into the pros and cons of trending technologies and frameworks used in cloud-native microservices, alongside good Java coding practices. As you progress, you’ll confront the challenges of cloud adoption head-on, particularly those tied to the growing need for cost reduction through stack modernization. Within these pages, you’ll discover application modernization strategies and learn how enterprise data integration patterns and event-driven architectures enable smooth modernization processes with low-to-zero impact on the existing legacy stack.

Data Engineering with dbt. A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL

Roberto Zagni

dbt Cloud helps professional analytics engineers automate the application of powerful and proven patterns to transform data from ingestion to delivery, enabling real DataOps.This book begins by introducing you to dbt and its role in the data stack, along with how it uses simple SQL to build your data platform, helping you and your team work better together. You’ll find out how to leverage data modeling, data quality, master data management, and more to build a simple-to-understand and future-proof solution. As you advance, you’ll explore the modern data stack, understand how data-related careers are changing, and see how dbt enables this transition into the emerging role of an analytics engineer. The chapters help you build a sample project using the free version of dbt Cloud, Snowflake, and GitHub to create a professional DevOps setup with continuous integration, automated deployment, ELT run, scheduling, and monitoring, solving practical cases you encounter in your daily work.By the end of this dbt book, you’ll be able to build an end-to-end pragmatic data platform by ingesting data exported from your source systems, coding the needed transformations, including master data and the desired business rules, and building well-formed dimensional models or wide tables that’ll enable you to build reports with the BI tool of your choice.

Moodle 4 Administration. An administrator's guide to configuring, securing, customizing, and extending Moodle - Fourth Edition

Alex Büchner

This updated fourth edition of the classic Moodle Administration guide has been written from the ground up and covers all the new Moodle features in great breadth and depth. The topics have also been augmented with professional diagrams, illustrations, and checklists.The book starts by covering basic tasks such as how to set up and configure Moodle and perform day-to-day administration activities. You’ll then progress to more advanced topics that show you how to customize and extend Moodle, manage authentication and enrolments, and work with roles and capabilities. Next, you'll learn how to configure pedagogical and technical Moodle plugins and ensure your LMS complies with data protection regulations. Then, you will learn how to tighten Moodle’s security, improve its performance, and configure backup and restore procedures. Finally, you'll gain insights on how to compile custom reports, configure learning analytics, enable mobile learning, integrate Moodle via web services, and support different types of multi-tenancy.By the end of this book, you’ll be able to set up an efficient, fully fledged, and secure Moodle system.