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Podcasty
Building Forms with Vue.js. Patterns for building and scaling complex forms with great UX
Almost every web application and site out there handles user input in one way or another, from registration forms and log-in handling to registration and landing pages. Building Forms with Vue.js follows a step-by-step approach to help you create an efficient user interface (UI) and seamless user experience (UX) by building quick and easy-to-use forms.You’ll get off to a steady start by setting up the demo project. Next, you’ll get to grips with component composition from creating reusable form components through to implementing the custom input components. To further help you develop a convenient user input experience, the book will show you how to enhance custom inputs with v-mask. As you progress, you’ll get up to speed with using Vuelidate and Vuex to effectively integrate your forms. You’ll learn how to create forms that use global state, reactive instant user input validation and input masking, along with ensuring that they are completely schema-driven and connected to your application’s API. Every chapter builds on the concepts learned in the previous chapter, while also allowing you to skip ahead to the topics you’re most interested in.By the end of this book, you will have gained the skills you need to transform even the simplest form into a crafted user and developer experience with Vue.
Enter the world of Decentralized Finance (DeFi) with Building Full Stack DeFi Applications. Understand how this blockchain-based financial technology, designed to manage crypto assets, runs independently without centralized financial institutions like banks and brokerages, eliminating the fees that banks and other financial companies charge for using their services. This book will show you how DeFi solutions are built with smart contracts running on blockchains and how they allow users to gain and earn crypto assets based on the trust of the smart contracts.This book uncovers the inner workings of DeFi by guiding you through the mathematical foundations and teaching you how to build real-world DeFi products with Solidity and JavaScript. As you progress through the chapters, you’ll learn how to implement smart contracts of liquidity pools to trade cryptocurrencies and implement staking, including farming features that allow users to earn. You’ll also find out how to create asset pools that allow users to lend and borrow cryptocurrencies and generate interest. Additionally, you’ll discover how to use Web3 libraries to build the frontend of DeFi products.By the end of this book, you’ll will be well acquainted with popular tools, libraries, and design patterns for implementing a full-stack DeFi application with Web3 and Solidity.
With its powerful tools and quick implementation capabilities, Flutter provides a new way to build scalable cross-platform apps. In this book, you'll learn how to build on your knowledge and use Flutter as the foundation for creating games.This game development book takes a hands-on approach to building a complete game from scratch. You'll see how to get started with the Flame library and build a simple animated example to test Flame. You'll then discover how to organize and load images and audio in your Flutter game. As you advance, you'll gain insights into the game loop and set it up for fast and efficient processing. The book also guides you in using Tiled to create maps, add sprites to the maps that the player can interact with, and see how to use tilemap collision to create paths for a player to walk on. Finally, you'll learn how to make enemies more intelligent with artificial intelligence (AI).By the end of the book, you'll have gained the confidence to build fun multiplatform games with Flutter.
Ted Hunter, Steven Porter, Legorie Rajan PS
GCP is a cloud computing platform with a wide range of products and services that enable you to build and deploy cloud-hosted applications. This Learning Path will guide you in using GCP and designing, deploying, and managing applications on Google Cloud.You will get started by learning how to use App Engine to access Google's scalable hosting and build software that runs on this framework. With the help of Google Compute Engine, you’ll be able to host your workload on virtual machine instances. The later chapters will help you to explore ways to implement authentication and security, Cloud APIs, and command-line and deployment management. As you hone your skills, you’ll understand how to integrate your new applications with various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. Following this, the book will teach you how to streamline your workflow with tools, including Source Repositories, Container Builder, and Stackdriver. You'll also understand how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerts for your production systems. By the end of this Learning Path, you'll be well versed with GCP’s development tools and be able to develop, deploy, and manage highly scalable and reliable applications.This Learning Path includes content from the following Packt products:• Google Cloud Platform for Developers Ted Hunter and Steven Porter• Google Cloud Platform Cookbook by Legorie Rajan PS
Building Hybrid Clouds with Azure Stack. Implementing on-premises Azure infrastructure
Azure Stack is all about creating fewer gaps between on-premise and public cloud application deployment. Azure Stack is the logical progression of Microsoft Cloud Services to create a true hybrid cloud-ready application.This book provides an introduction to Azure Stack and the cloud-first approach. Starting with an introduction to the architecture of Azure Stack, the book will help you plan and deploy your Azure Stack. Next, you will learn about the network and storage options in Azure Stack and you'll create your own private cloud solution. Finally, you will understand how to integrate public cloud using the third-party resource provider. After reading the book, you will have a good understanding of the end-to-end process of designing, offering, and supporting cloud solutions for enterprises or service providers.
Impressjs, Rakhitha Nimesh Ratnayake
Everyone has had to present during their lifetime. We've all spent agonizing hours trying to make those PowerPoint presentations engaging. Well now there is a tool that will make those presentations look like child's play.Impress.js is a powerful library that eases the task of creating presentations with smooth animations without depending on a software tool. You are no longer limited to desktop tools as these presentations run on any supported browser anywhere on the Internet.Building Impressive Presentations with impress.js is a quick guide to creating professional presentations using the best aspects of CSS3. It will also guide you through several practical examples which go beyond the conventional slide-based presentations, covering each aspect of the Impress library.From simple presentations to your own personal website this handy practical guide will ensure you get the most out of Impress.JS as quickly as you can. Starting with a simple slide-based presentation we move quickly on adding in sliders, galleries and portfolios to utilize this amazing tool. 3D transitions, rotations, scaling, and transforms are also covered to give your presentations that something extra. The final step is bringing all this together to create a personal website that is viewable on all impress supported browsers.Building Impressive Presentations with impress.js gives you the chance to stand out from the competition and engage with audiences in a way you never have before.
Shyam Varan Nath, Pieter van Schalkwyk, Dan Isaacs
Digital twin technology enables organizations to create digital representations of physical entities such as assets, systems, and processes throughout their life cycle. It improves asset performance, utilization, and safe operations and reduces manufacturing, operational, and maintenance costs.The book begins by introducing you to the concept of digital twins and sets you on a path to develop a digital twin strategy to positively influence business outcomes in your organization. You'll understand how digital twins relate to physical assets, processes, and technology and learn about the prerequisite conditions for the right platform, scale, and use case of your digital twins. You'll then get hands-on with Microsoft's Azure Digital Twins platform for your digital twin development and deployment. The book equips you with the knowledge to evaluate enterprise and specialty platforms, including the cloud and industrial IoT required to set up your digital twin prototype. Once you've built your prototype, you'll be able to test and validate it relative to the intended purpose of the twin through pilot deployment, full deployment, and value tracking techniques.By the end of this book, you'll have developed the skills to build and deploy your digital twin prototype, or minimum viable twin, to demonstrate, assess, and monitor your asset at specific stages in the asset life cycle.
Michael Olafusi, Olanrewaju Oyinbooke
M365 Excel is a modern Excel version that is constantly updated with features that make creating and automating analyses, reports, and dashboards very easy compared with older Excel versions. This book will help you leverage its full capabilities, beginning with a quick overview of what dashboards are and how they are different from other types of reports. Then, you’ll familiarize yourself with the different standard dashboards currently available and what they are meant to accomplish for organizations. As you progress, you’ll get to grips with the use of new powerful tools such as Power Query and dynamic array formulae in the automation of analysis, gaining insights into the right approach to take in building effective dashboards. You’ll equip yourself with not only all the essential formulae, charts, and non-chart visuals but also learn how to set up your dashboard perfectly. Along the way, you’ll build a couple of awesome dashboards from scratch to utilize your newfound knowledge.By the end of this book, you will be able to carry out an impressive and robust level of analysis on business data that may come from multiple sources or files, using better processes, formulae, and best practices in M365 to create insightful dashboards faster.
Grafana is a powerful open source software that helps you to visualize and analyze data gathered from various sources. It allows you to share valuable information through unclouded dashboards, run analytics, and send notifications.Building IoT Visualizations Using Grafana offers how-to procedures, useful resources, and advice that will help you to implement IoT solutions with confidence. You’ll begin by installing and configuring Grafana according to your needs. Next, you’ll acquire the skills needed to implement your own IoT system using communication brokers, databases, and metric management systems, as well as integrate everything with Grafana. You’ll learn to collect data from IoT devices and store it in databases, as well as discover how to connect databases to Grafana, make queries, and build insightful dashboards. Finally, the book will help you implement analytics for visualizing data, performing automation, and delivering notifications.By the end of this Grafana book, you’ll be able to build insightful dashboards, perform analytics, and deliver notifications that apply to IoT and IT systems.
Santonu Kumar Dhar, Chris Davenport
Joomla! is a content management system that helps both novice users and expert developers to create powerful websites. Joomla! has extensions for construcing job sites; web sites for handling employment and careers. It can take hours to build even an elementary job site but imagine yourself building a job site such as Monster, CareerBuilder, a niche job listing such as TechCrunch or your own company job site within few minutes and with minimal development efforts.Building job sites with Joomla! shows you how to create your own job site with Joomla! with the Jobs! Pro extension. From the basic installation and configuration, you will see all the steps required to assemble a working job site in next to no time.This book is a step-by-step tutorial for creating a job site using Joomla!. First you will set up a server environment to install Joomla! 1.5 and Jobs!. Next you will learn how you can use Jobs! configuration settings to control the components of your job site such as adding companies, adding social bookmarking buttons, enabling the users to post their resume online and so on. You will learn to easily manage your site using the Jobs! control panel. This will be followed by using job site template to quickly create a job site and simultaneously test the site you have created. Next you will learn how to speed up the communication between employers and the jobseekers using e-mail templates.You can also entirely control user registration system from Jobs! Pro admin panel. You will also learn to add and manage job types, job categories, and applications to keep your database organized and to keep track of the application status. You will also learn to add a jobseeker or an employer and to manage resume fields. Then you will configure credit systems to charge an amount of money to users according to the specific service provided. By the end of this book you will learn to professionally optimize your Joomla! Job site for search engines and look at list of words that need to be avoided in the URLs.
Building LLM Powered Applications. Create intelligent apps and agents with large language models
Building LLM Powered Applications delves into the fundamental concepts, cutting-edge technologies, and practical applications that LLMs offer, ultimately paving the way for the emergence of large foundation models (LFMs) that extend the boundaries of AI capabilities.The book begins with an in-depth introduction to LLMs. We then explore various mainstream architectural frameworks, including both proprietary models (GPT 3.5/4) and open-source models (Falcon LLM), and analyze their unique strengths and differences. Moving ahead, with a focus on the Python-based, lightweight framework called LangChain, we guide you through the process of creating intelligent agents capable of retrieving information from unstructured data and engaging with structured data using LLMs and powerful toolkits. Furthermore, the book ventures into the realm of LFMs, which transcend language modeling to encompass various AI tasks and modalities, such as vision and audio.Whether you are a seasoned AI expert or a newcomer to the field, this book is your roadmap to unlock the full potential of LLMs and forge a new era of intelligent machines.
C++ is meticulously designed with efficiency, performance, and flexibility as its core objectives. However, real-time low latency applications demand a distinct set of requirements, particularly in terms of performance latencies.With this book, you’ll gain insights into the performance requirements for low latency applications and the C++ features critical to achieving the required performance latencies. You’ll also solidify your understanding of the C++ principles and techniques as you build a low latency system in C++ from scratch.You’ll understand the similarities between such applications, recognize the impact of performance latencies on business, and grasp the reasons behind the extensive efforts invested in minimizing latencies. Using a step-by-step approach, you’ll embark on a low latency app development journey by building an entire electronic trading system, encompassing a matching engine, market data handlers, order gateways, and trading algorithms, all in C++. Additionally, you’ll get to grips with measuring and optimizing the performance of your trading system.By the end of this book, you’ll have a comprehensive understanding of how to design and build low latency applications in C++ from the ground up, while effectively minimizing performance latencies.
Bryan Kenneweg, Imran Kasam, Micah McMullen, Michael Guido
Low-code is a visual approach to application development. It enables developers of varying experience levels to create web and mobile apps using drag-and-drop components and model-driven logic through a graphic user interface. Mendix is among the fastest-growing platforms that enable low-code enthusiasts to put their software ideas into practice without having to write much code, and Building Low-Code Applications with Mendix will help you get up and running with the process using examples and practice projects.The book starts with an introduction to Mendix, along with the reasons for using this platform and its tools for creating your first app. As you progress, you’ll explore Mendix Studio Pro, the visual environment that will help you learn Mendix app creation. Once you have your working app ready, you’ll understand how to enhance it with custom business logic and rules. Next, you’ll find out how to defend your app against bad data, troubleshoot and debug it, and finally, connect it with real-world business platforms. You’ll build practical skills as the book is filled with examples, real-world scenarios, and explanations of the tools needed to help you build low-code apps successfully.By the end of this book, you’ll have understood the concept of low-code development, learned how to use Mendix effectively, and developed a working app.
Willi Richert, Luis Pedro Coelho
Machine learning, the field of building systems that learn from data, is exploding on the Web and elsewhere. Python is a wonderful language in which to develop machine learning applications. As a dynamic language, it allows for fast exploration and experimentation and an increasing number of machine learning libraries are developed for Python.Building Machine Learning system with Python shows you exactly how to find patterns through raw data. The book starts by brushing up on your Python ML knowledge and introducing libraries, and then moves on to more serious projects on datasets, Modelling, Recommendations, improving recommendations through examples and sailing through sound and image processing in detail. Using open-source tools and libraries, readers will learn how to apply methods to text, images, and sounds. You will also learn how to evaluate, compare, and choose machine learning techniques. Written for Python programmers, Building Machine Learning Systems with Python teaches you how to use open-source libraries to solve real problems with machine learning. The book is based on real-world examples that the user can build on.Readers will learn how to write programs that classify the quality of StackOverflow answers or whether a music file is Jazz or Metal. They will learn regression, which is demonstrated on how to recommend movies to users. Advanced topics such as topic modeling (finding a text's most important topics), basket analysis, and cloud computing are covered as well as many other interesting aspects.Building Machine Learning Systems with Python will give you the tools and understanding required to build your own systems, which are tailored to solve your problems.
Luis Pedro Coelho, Willi Richert, Matthieu Brucher
Machine learning enables systems to make predictions based on historical data. Python is one of the most popular languages used to develop machine learning applications, thanks to its extensive library support. This updated third edition of Building Machine Learning Systems with Python helps you get up to speed with the latest trends in artificial intelligence (AI).With this guide’s hands-on approach, you’ll learn to build state-of-the-art machine learning models from scratch. Complete with ready-to-implement code and real-world examples, the book starts by introducing the Python ecosystem for machine learning. You’ll then learn best practices for preparing data for analysis and later gain insights into implementing supervised and unsupervised machine learning techniques such as classification, regression and clustering. As you progress, you’ll understand how to use Python’s scikit-learn and TensorFlow libraries to build production-ready and end-to-end machine learning system models, and then fine-tune them for high performance.By the end of this book, you’ll have the skills you need to confidently train and deploy enterprise-grade machine learning models in Python.