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React JS Masterclass - Go From Zero To Job Ready - Course Introduction
This introductory video provides an overview of the course's content, the pros and cons of learning about React 18, its features, and what you will learn from the course, along with a brief outline about the instructor.
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React JS Masterclass - Go From Zero To Job Ready - Firebase Setup / 163
The Firebase Realtime Database is a cloud-hosted NoSQL database that lets you store and sync data between your users in real time. We will look at the setup and authentication.
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React JS Masterclass - Go From Zero To Job Ready - WriteNode Demo / 159
This demonstration video of another project called WriteNode, uses Firebase, React router DOM, to create the application. We will also understand about Skeleton.
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React JS Masterclass - Go From Zero To Job Ready - Firebase Connection / 254
When you register your app with Firebase, you will get a Firebase configuration object that you will use to connect your app with your Firebase project.
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React JS Masterclass - Go From Zero To Job Ready - Firebase Setup / 253
React Native Firebase provides access to native code by wrapping the native SDKs for Android and iOS into a JavaScript API.
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React JS Masterclass - Go From Zero To Job Ready - Frontend Deployment / 143
This is the final cloud deployment model, the virtual private cloud, which maintains the same security restrictions as a private cloud but offloads apps or workloads as a public cloud.
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Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island - Grocery Data Model
This video explains the grocery data model of the widget. This clip is from the chapter "Core Data in WidgetKit" of the series "Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island".This section explains the core data in WidgetKit.
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Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island - App Groups
This video explains how to add groups in the widget. This clip is from the chapter "Data Sync Between App and Widget" of the series "Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island".This section explains the data sync...
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Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island - Hello Widget Timeline Entry
This video explains how to create the hello widget timeline entry. This clip is from the chapter "Build Your First Widget from Scratch" of the series "Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island".This section explains...
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Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island - Adding WidgetKit Extension
This video explains how to add a WidgetKit extension. This clip is from the chapter "Getting Started" of the series "Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island".This section introduces you to WidgetKit and how to add...
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Deep Learning - Computer Vision for Beginners Using PyTorch - Final Testing
In this video, we will run our project and check whether our program runs as required. This clip is from the chapter "Optional Learning - Mini Project with Python Basics" of the series "Deep Learning - Computer Vision for Beginners Using...
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Deep Learning - Computer Vision for Beginners Using PyTorch - Mini Project - Hangman
In this video, we will get introduced to our mini project, which is called the Hangman. This clip is from the chapter "Optional Learning - Mini Project with Python Basics" of the series "Deep Learning - Computer Vision for Beginners...
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Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island - Intent Handler
This video explains the intent handler. This clip is from the chapter "Custom Configuration Widget" of the series "Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island".This section explains the custom configuration widget.
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Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island - Focus Timer Attributes
This video explains focus timer attributes using the live activity. This clip is from the chapter "iOS 16.1 Live Activity Widget" of the series "Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island".This section explains a new...
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PowerShell for Automating Administration - Project Directory and File Structure
This video demonstrates the project directory and file structure that will help you give an upper hand in customizing the automation part as per your requirement. This clip is from the chapter "Project Introduction" of the series...
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CompTIA A+ Certification Core 1 (220-1101) - Projectors
It's easy to think of projectors as nothing more than monitors that project on a wall but that's a bit short-sighted. Projectors come with their own technologies and configurations that a good tech understands. This clip is from the...
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Kafka for Developers - Data Contracts Using Schema Registry - Project Setup for Coffee Shop - Gradle
In this video, we will set up the base project for the coffeeshop order service using Gradle. This clip is from the chapter "Coffee Shop Order Service Using AVRO - A Real-Time Use Case" of the series "Kafka for Developers - Data...
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Kafka for Developers - Data Contracts Using Schema Registry - Application Overview
In this video, you will get an overview of the application that we are going to build in this section. This clip is from the chapter "Coffee Shop Order Service Using AVRO - A Real-Time Use Case" of the series "Kafka for Developers - Data...
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Kafka for Developers - Data Contracts Using Schema Registry - Base Project Setup for Greeting App - Maven
In this video, we will set up the base project for the course using the Gradle build tool. This clip is from the chapter "Greeting App - Base AVRO Project Setup - Maven" of the series "Kafka for Developers - Data Contracts Using Schema...
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Kafka for Developers - Data Contracts Using Schema Registry - Base Project Setup for Greeting App
In this video, we will set up the base project for the course using the Gradle build tool. This clip is from the chapter "Greeting App - Base AVRO Project Setup - Gradle" of the series "Kafka for Developers - Data Contracts Using Schema...
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Recommender Systems: An Applied Approach using Deep Learning - Overview
This video briefly overviews the contents and topics covered in this module, including deep learning in recommender systems, the pros and cons of deep learning, recommender interference, and more. This clip is from the chapter "Deep...
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Recommender Systems: An Applied Approach using Deep Learning - Project Overview
This video outlines the project and will demonstrate how to install the packages required for the project, data preparation, using TensorFlow, evaluation, and recommendation. This clip is from the chapter "Project Amazon Product...
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Recommender Systems: An Applied Approach using Deep Learning - Two-Tower Model
In this lesson, we will discuss the two-tower model, which uses user embedding and item embedding in the recommender system. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems:...
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Recommender Systems: An Applied Approach using Deep Learning - Module Overview
This is a brief introductory overview of what is being covered in this section, including creating projects, TensorFlow recommenders, libraries, WordCloud, and DataFrame. This clip is from the chapter "Project Amazon Product...