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"Scala (Computer program language)"
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Introduction to programming and problem-solving using Scala
Written by an expert in the field, this text teaches programming with Scala, one of a new generation of languages that combine the best from the procedural, functional, and object-oriented paradigms of programming.
Book
Jupyter Cookbook
Jupyter has garnered a strong interest in the data science community of late, as it makes common data processing and analysis tasks much simpler. This book is for data science professionals who want to master various tasks related to Jupyter to create efficient, easy-to-share applications related to data analysis and visualization.
eBook
Scala machine learning projects : build real-world machine learning and deep learning projects with Scala
\"Machine learning has made a huge impact on academia and industry by turning data into actionable intelligence. Scala, on the other hand, has been observing a steady rise in its adoption over the last few years, especially in the field of data science and analytics. This book has been written for data scientists, data engineers, and deep learning enthusiasts who have a solid background with complex numerical computing and want to learn more hands-on machine learning application development. Through 11 end-to-end projects, you will be acquainted with popular machine learning libraries such as Spark ML, H2O, Zeppelin, DeepLearning4j, and MXNet.\"--Provided by publisher.
Book
Machine Learning with Scala Quick Start Guide
Scala as a programming language is a highly scalable integration of object-oriented and functional programming, which makes 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 train effective machine learning models using this popular language.
eBook
Mastering Play Framework for Scala
Play Framework is an open source web application framework that is written in Java and Scala. It follows the Model-View-Controller architectural pattern and enables the user to employ Scala for application development, while keeping key properties and features of Play Framework intact. Starting off by building a basic application with minimal features, you get a detailed insight into handling data transactions and designing models in Play. Next, you venture into the concepts of Actors and WebSockets, the process of manipulating data streams, and testing and debugging an application in Play. Finally, you gain an insight into extending the framework by writing custom modules or plugins in Play. Each chapter has a troubleshooting section that helps you out by discussing the causes of, and solutions to, some commonly faced issues.
eBook
Reactive application development
Mission-critical applications have to respond instantly to changes in load, recover gracefully from failure, and satisfy exacting requirements for performance, cost, and reliability. That's no small task! Reactive designs make it easier to meet these demands through modular, message-driven architecture, innovative tooling, and cloud-based infrastructure. Reactive Application Development teaches you how to build reliable enterprise applications using reactive design patterns. This hands-on guide begins by exposing you to the reactive mental model, along with a survey of core technologies like the Akka actors framework. Then, you'll build a proof-of-concept system in Scala, and learn to use patterns like CQRS and Event Sourcing. You'll master the principles of reactive design as you implement elasticity and resilience, integrate with traditional architectures, and learn powerful testing techniques.
Book
Scala for java developers
Scala for Java Developers is a step-by-step guide full of easy-to-follow code taken from real-world examples explaining the migration and integration of Scala in a Java project. With this book, you will first get comfortable with the Scala syn\"
eBook
Gatling Fundamentals for Stress Testing APIs - Scala
Grasp the fundamentals of Gatling and gain hands-on experience by crafting numerous Gatling scripts from scratch. Key Features: . Explore and write core Gatling script functionality from scratchDesign load-test scenarios in your Gatling script and learn how to execute them from the command lineGatling’s powerful DSL eliminates the need for Scala expertise, paving the way for Gatling’s success. course Description: In this guide, we will dive into the world of Gatling, the potent open-source tool for web application load-testing. Starting with Gatling installation, uncover the power of Gatling Recorder, perfect for capturing user journeys and transforming them into scripts effortlessly. We will start by executing our first Gatling script and gain insights from the application through testing. This will be followed by core topics such as checking response codes, examining response bodies, and data extraction; we will then master debugging session variables and code reuse techniques. Moving ahead, we will dive into advanced topics such as looping HTTP calls, authentication and working with CSV feeders. We will understand basic and complex custom feeders, as well as templating files. We will introduce load simulations, ramping up users, and running Gatling from the command line with runtime parameters. Throughout the course, we will tackle challenges, and learn to monitor test executions with Gatling test result reports. We will also guide you on integrating Gatling into CI pipelines, covering GitHub repositories, and Travis CI configuration. By the end, you will be a Gatling expert, capable of effectively load-testing web applications and seamlessly integrating Gatling into CI/CD workflows, ensuring optimal performance and reliability. What you will learn: Install and configure Gatling, both standalone and in an IDESet up your development environment for writing Gatling load-test scripts. Learn how to reformat Gatling code so that it can easily be reusedRun tests from the command line, using build tools like Maven and Gradle. Monitor test executions from the command line in Gatling. Run Gatling tests in a CI environment with Jenkins and Travis CI. Who this course is for: This course caters to a diverse audience, including quality assurance engineers looking to broaden their skill set, even if they have minimal or no prior experience with Gatling. It’s also suitable for programmers who are keen to delve into load-testing but lack familiarity with Gatling. Additionally, if you are currently using alternative load-testing tools such as JMeter, LoadRunner, or NeoLoad and want to embark on a journey to learn a new tool, this course is designed to meet your needs and help you become proficient in Gatling.
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