Curated Video
The Complete Solidity Course - Zero to Advanced for Blockchain and Smart Contracts - Function Overloading in Solidity
In this video, we will cover the concept of function overloading in Solidity. Function overloading allows you to define multiple functions with the same name but different parameter types, which can help you write more modular and...
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The Complete Solidity Course - Zero to Advanced for Blockchain and Smart Contracts - Destructuring and Multiple Returns from Functions in Solidity
In this video, you will learn how to use destructuring and multiple returns from functions in Solidity. Destructuring is the process of breaking down a data structure into smaller parts. In Solidity, destructuring is used to extract data...
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The Complete Solidity Course - Zero to Advanced for Blockchain and Smart Contracts - Solution - View and Pure Functions
In this video, we will discuss the solution to the exercise on the View and Pure functions from the previous video. This clip is from the chapter "Learn Functions in Solidity" of the series "The Complete Solidity Course - Zero to...
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The Complete Solidity Course - Zero to Advanced for Blockchain and Smart Contracts - Bytes Versus Strings in Solidity I
In this video, you will learn about the difference between bytes and strings in Solidity. This clip is from the chapter "Learn Solidity - Basics III" of the series "The Complete Solidity Course - Zero to Advanced for Blockchain and Smart...
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Data Science Model Deployments and Cloud Computing on GCP - Cloud Orchestration with Kubernetes
This video explains container orchestration is the process of automating application deployment, scaling, and management. In a nutshell, it is a way to manage sets of containers. Kubernetes was originally developed by Google and is often...
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Data Science Model Deployments and Cloud Computing on GCP - Containerization with Docker
This video explains containerization, which is a way of packaging the code up complete with libraries, files, and dependencies in an environment that is predictable and portable. Docker is a suite of technologies that accomplishes this....
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Data Science Model Deployments and Cloud Computing on GCP - Heroku with a Database
This video explains Heroku with a database. This clip is from the chapter "Cloud Platforms" of the series "Web Development Concepts for Everyone".This video explains cloud platforms and cloud hosting with Heroku.
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Data Science Model Deployments and Cloud Computing on GCP - Cloud Hosting with Heroku
This video explains Heroku, which is a cloud platform that enables developers to build, run, and operate applications entirely on cloud. This clip is from the chapter "Cloud Platforms" of the series "Web Development Concepts for...
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Data Science Model Deployments and Cloud Computing on GCP - How Applications Run
This video explains how applications run in runtime environments. This clip is from the chapter "Cloud Platforms" of the series "Web Development Concepts for Everyone".This video explains cloud platforms and cloud hosting with Heroku.
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Data Science Model Deployments and Cloud Computing on GCP - Build Automation Tools
This video explains how to build automation tools, which are supporting tools that can execute a number of different tasks for developers creating an application. This clip is from the chapter "Web Developer Tools" of the series "Web...
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Data Science Model Deployments and Cloud Computing on GCP - Console
This video explains a low-level command line interface included in operating systems that allows users to execute more discrete tasks than a regular computer. This clip is from the chapter "Web Developer Tools" of the series "Web...
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Data Science Model Deployments and Cloud Computing on GCP - Example of an IDE - IntelliJ Idea
This video explains IntelliJ Idea, which is an IDE specifically for the Java programming language. It was developed by JetBrains and streamlines the process of creating Java applications. This clip is from the chapter "Web Developer...
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Data Science Model Deployments and Cloud Computing on GCP - Supersets and TypeScript
This video explains supersets, which are a language that contains all the features of a given language, but then is expanded or enhanced to include other features as well. TypeScript is a superset of JavaScript developed and maintained...
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Data Science Model Deployments and Cloud Computing on GCP - Static Versus Dynamic
This video explains the differences between static and dynamic programming types. This clip is from the chapter "Programming Languages" of the series "Web Development Concepts for Everyone".In this section, you are going to learn what...
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Data Science Model Deployments and Cloud Computing on GCP - Lab - Airflow with Serverless PySpark
In this video, you will learn how to use Apache Airflow to orchestrate PySpark jobs on Dataproc. This clip is from the chapter "Dataproc Serverless PySpark" of the series "Data Science Model Deployments and Cloud Computing on GCP".In...
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Data Science Model Deployments and Cloud Computing on GCP - Lab - Custom Model Training Using SDK and Model Registries
In this lab video, you will learn how to use the Vertex AI SDK and model registries to train and deploy custom machine learning models. This clip is from the chapter "Vertex AI - Machine Learning Framework" of the series "Data Science...
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Data Science Model Deployments and Cloud Computing on GCP - Introduction
This video provides an introduction to the section. This clip is from the chapter "Cloud Functions - Serverless and Event-Driven Applications" of the series "Data Science Model Deployments and Cloud Computing on GCP".In this section, you...
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Data Science Model Deployments and Cloud Computing on GCP - Lab - Deploy Python Application to App Engine - Part 2
This video is the second part of a two-part tutorial on deploying a Python application to Google App Engine. This clip is from the chapter "Google App Engine - For Serverless Applications" of the series "Data Science Model Deployments...
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Data Science Model Deployments and Cloud Computing on GCP - Introduction to App Engine
This video provides an introduction to App Engine. This clip is from the chapter "Google App Engine - For Serverless Applications" of the series "Data Science Model Deployments and Cloud Computing on GCP".In this section, we introduce...
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Data Science Model Deployments and Cloud Computing on GCP - Lab - Run Docker Locally
This video is a hands-on lab on running Docker locally, showing you how to use Docker to build, run, and manage containers on your machine. This clip is from the chapter "Cloud Run - Serverless and Containerized Applications" of the...
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Data Science Model Deployments and Cloud Computing on GCP - Lab - Install Docker Engine
In this video, we walk you through the steps required to install Docker Engine on your local machine, providing a step-by-step tutorial that covers all the necessary commands and configurations. This clip is from the chapter "Cloud Run -...
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Data Science Model Deployments and Cloud Computing on GCP - Serverless Versus Servers and Containerization
In this video, we compare serverless versus servers and containerization, discussing the differences between the two approaches and providing insights into when to use each one. This clip is from the chapter "Modern-Day Cloud Concepts"...
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Linux Crash Course for Beginners - 2023 - System Updates and Repositories
In this video, you will learn about the commands used for system updates and repositories, that is, rpm and yum.
Curated Video
Linux Crash Course for Beginners - 2023 - System Monitoring Commands
In this video, you will learn about system monitoring commands such as top, df, dmesg, iostat 1, netstat, free, cat /proc/cpuinfo, and cat /proc/meminfo.