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Podcasts
Instant jQuery Masonry How-to. Utilize the power of Masonry in short, easy-to-follow recipes
Kyle Taylor, Kyle David Taylor
jQuery Masonry is a revolutionary new plugin that enables dynamic layouts on any website. This powerful tool shuffles and rearranges elements to fit any screen size which will ensure your website keeps up with one of the biggest trends of the year, Responsive Web Design.Instant jQuery Masonry How-to will allow you to start building fully responsive layouts for portfolios, galleries, blog pages, and more. Gain a complete understanding of the workings of Masonry, which will allow you to integrate this unique tool into your existing and future projects.The hands-on guide will take you from the basics of jQuery Masonry to utilizing its power within Wordpress and Drupal. You will learn the basics such as implementing single and multi-column layouts, before developing more complex solutions for various media types, fluid layouts, and animating transitions. With the widespread adoption of responsive web design, this book will bring your blog, portfolio, or any project you are working on up to speed.
Looking for a fast, powerful, and intuitive framework to build web applications? This Rust book will help you kickstart your web development journey and take your Rust programming skills to the next level as you uncover the power of Rocket - a fast, flexible, and fun framework powered by Rust.Rust Web Development with Rocket wastes no time in getting you up to speed with what Rust is and how to use it. You’ll discover what makes it so productive and reliable, eventually mastering all of the concepts you need to play with the Rocket framework while developing a wide set of web development skills. Throughout this book, you'll be able to walk through a hands-on project, covering everything that goes into making advanced web applications, and get to grips with the ins and outs of Rocket development, including error handling, Rust vectors, and wrappers. You'll also learn how to use synchronous and asynchronous programming to improve application performance and make processing user content easy.By the end of the book, you'll have answers to all your questions about creating a web application using the Rust language and the Rocket web framework.
Deepu K Sasidharan, Sendil Kumar Nellaiyapen, Matt Raible
JHipster is an open source development platform that allows you to easily create web apps and microservices from scratch without spending time on wiring and integrating different technologies. Updated to include JHipster 6, Java 11, Spring Boot 2.1, Vue.js, and Istio, this second edition of Full Stack Development with JHipster will help you build full stack applications and microservices seamlessly.You'll start by understanding JHipster and its associated tools, along with the essentials of full stack development, before building a monolithic web app. You'll then learn the JHipster Domain Language (JDL) with entity modeling using JDL-Studio. With this book, you'll create production-ready web apps using Spring Boot, Spring Framework, Angular, and Bootstrap, and run tests and set up continuous integration pipelines with Jenkins. As you advance, you'll learn how to convert your monoliths to microservices and how to package your application for production with various deployment options, including Heroku and Google Cloud. You'll also learn about Docker and Kubernetes, along with an introduction to the Istio service mesh. Finally, you'll build your client-side with React and Vue.js and discover JHipster's best practices.By the end of the book, you'll be able to leverage the best tools available to build modern web apps.
Master this essential skill for new managers and successfully deliver feedback to raise your team’s performance with this practical guide book and ebook.
Do you want to take your information and note organization to a new level? This book will show you how to use Microsoft’s organizational app, OneNote, to store endless amounts of information in a productive and organized way, including solutions for creating your notes and then sharing them easily with your team or department.You’ll be guided through everything you need to set up a notebook and customize it to suit you or your team. The book will show you how to navigate through OneNote and search for virtually anything, as well as save time with all the shortcuts. You’ll discover that inserting information into your notebooks goes far beyond text, images, and videos, and also includes emails, links to documents, and clippings from the web. But it doesn’t stop there. Integration with other Microsoft products is key for making your experience successful, and this book demonstrates how to use OneNote with Microsoft Outlook, OneDrive, SharePoint and Teams. Beyond instructions and essential topics, this book also provides you with the motivation you need to make OneNote a habit as well as real-life examples of notebooks you can use.By the end of this book, you’ll be able to use OneNote for everything and from every device. Even if you start a notebook on your laptop and continue it on your phone, you’ll find working with the app seamless.
Christopher Cowell, Nicholas Lotz, Chris Timberlake
Developers and release engineers understand the high stakes of building, packaging, and deploying code efficiently. Ensuring that your code is fast, secure, and functionally correct can be a time-consuming and complex task. GitLab CI/CD pipelines simplify these tasks, enabling automation and seamless deployment.Automating DevOps with GitLab CI/CD Pipelines starts with the fundamentals of Git and GitLab, guiding you through committing and reviewing code. You'll learn how to set up GitLab Runners to execute and autoscale CI/CD pipelines, configure pipelines for different stages of the software development lifecycle, and analyze pipeline results in GitLab. As you progress, you'll gain expertise in deploying code across environments, integrating GitLab with Kubernetes and Terraform, triggering pipelines, and improving pipeline performance. This book also includes troubleshooting techniques, best practices, real-world use cases, and self-assessments to reinforce key CI/CD concepts and help you prepare for GitLab-related interviews and certifications.By the end of this book, you'll have the skills to build and automate CI/CD pipelines in GitLab, streamline DevOps workflows, and deploy high-quality, secure code with confidence.
Nills Franssens, Shivakumar Gopalakrishnan, Gunther Lenz
Containers and Kubernetes containers facilitate cloud deployments and application development by enabling efficient versioning with improved security and portability.With updated chapters on role-based access control, pod identity, storing secrets, and network security in AKS, this third edition begins by introducing you to containers, Kubernetes, and Azure Kubernetes Service (AKS), and guides you through deploying an AKS cluster in different ways. You will then delve into the specifics of Kubernetes by deploying a sample guestbook application on AKS and installing complex Kubernetes apps using Helm. With the help of real-world examples, you'll also get to grips with scaling your applications and clusters.As you advance, you'll learn how to overcome common challenges in AKS and secure your applications with HTTPS. You will also learn how to secure your clusters and applications in a dedicated section on security. In the final section, you’ll learn about advanced integrations, which give you the ability to create Azure databases and run serverless functions on AKS as well as the ability to integrate AKS with a continuous integration and continuous delivery (CI/CD) pipeline using GitHub Actions.By the end of this Kubernetes book, you will be proficient in deploying containerized workloads on Microsoft Azure with minimal management overhead.
Many individuals who know how to run machine learning algorithms do not have a good sense of the statistical assumptions they make and how to match the properties of the data to the algorithm for the best results.As you start with this book, models are carefully chosen to help you grasp the underlying data, including in-feature importance and correlation, and the distribution of features and targets. The first two parts of the book introduce you to techniques for preparing data for ML algorithms, without being bashful about using some ML techniques for data cleaning, including anomaly detection and feature selection. The book then helps you apply that knowledge to a wide variety of ML tasks. You’ll gain an understanding of popular supervised and unsupervised algorithms, how to prepare data for them, and how to evaluate them. Next, you’ll build models and understand the relationships in your data, as well as perform cleaning and exploration tasks with that data. You’ll make quick progress in studying the distribution of variables, identifying anomalies, and examining bivariate relationships, as you focus more on the accuracy of predictions in this book.By the end of this book, you’ll be able to deal with complex data problems using unsupervised ML algorithms like principal component analysis and k-means clustering.