Learn Electron, Netlify and Twit

Starting from a prebuilt frontend, Jason Lengstorf guides you through the creation of a "Corgi Up-boop App" that uses Netlify Functions and Hasura. You can view [the deployed final product on Netlify](https://egghead-serverless-functions.netlify.app/).

You'll set up the Netlify CLI, and configure a local development environment before writing and deploying functions with a few different use cases.

The first example function bypasses CORS restrictions to retrieve corgi data from an example third-party API.

Next, you'll configure environmental variables to securely communicate with the Unsplash API without exposing private keys to the client.

Serverless functions don't persist data by themselves, so we will use  Hasura to create a GraphQL API for tracking the number of "boops" each corgi receives.

This course is an excellent illustration of the speed of Serverless functions, and how fast you can implement functionality in your web applications.

An all-in-one workflow that combines global deployment, continuous integration, and automatic HTTPS.

netlify

Build a Corgi Up-boop Web App with Netlify Serverless Functions and Hasura

How does e-commerce work on the Jamstack? 

Jason Lengstorf and [Thor 雷神](https://twitter.com/thorwebdev) teamed up on _Learn With Jason_ to [build a serverless Stripe Checkout implementation](https://www.learnwithjason.dev/sell-products-on-the-jamstack). This collection is a cleaned up, egghead-style tutorial for selling products on a Jamstack site using Netlify Functions and Stripe Checkout.

Sell Products Using Stripe Checkout and Netlify Functions

OpenGraph images are the images you see when you paste a link into a social platform and it "unfurls" into an image, title, and description. This happens on Twitter, Discord, Slack, and many other platforms. This collection goes over everything from designing OpenGraph images in Figma, to implementing them in CodeSandbox, to returning headless browser screenshots from Netlify Functions, and finally using Cloudinary as a write-through cache. 

You will come away from this collection with the ability to ship an API that you can use on any of your sites, and also on-demand, that can generate images for not only OpenGraph unfurls, but also for Instagram, GitHub, and more. Using headless browsers with playwright to generate our images means we get full access to all the responsive power of CSS and all the logical power of JS to handle layout, importing assets like pngs, choosing different fonts, and more.

The image below is generated via the project you'll build and deploy in this course

![An example opengraph image](https://relaxed-payne-d1bfbe.netlify.com/opengraph?title=Building%20an%20OpenGraph%20image%20generation%20API%20with%20Cloudinary%20Netlify%20Functions%20and%20React&tags=figma,netlify%20functions,playwright&author=chrisbiscardi)

React is one of the web’s most popular frameworks for building JavaScript applications. 

If you know what you’re doing, React can drastically simplify how you build, use, and maintain code.

Whether you’re a React newbie or you’re ready for advanced techniques, you can level-up with egghead. Explore our in-depth courses, lessons, and community resources to build more powerful applications and crack open your career.

react

Building an OpenGraph image generation API with Cloudinary, Netlify Functions, and React

A short list of screencasts to cover essentials of [Gatsby](https://www.gatsbyjs.org/) to get started and have enough knowledge to become dangerous. 

The content comes from multiple instructors that have each covered different essentials, this cherry picks some of the most important concepts.

Videos in this collection cover these topics:
- installing plugins
- creating pages
- navigating between pages
- adding optimized images
- theming your styles
- deploying your site

Gatsby is a blazing fast static site generator built with React. Gatsby gives you all of the modern JavaScript tools you want; set up and ready to go out of the box.

gatsby

Up and Running with Gatsby

This application serves as an introduction to building products with a JAMStack and Serverless approach. We cover everything from the beginning:

* starting with the Gatsby client
* handling authentication with Netlify Identity
* Shipping a GraphQL server on Netlify Functions
* Building in access control with a serverless capable database

It uses tools that remove as many of the barriers as possible while also allowing upgrading in the future. Netlify Functions can grow into AWS Lambda, Netlify Identity can grow into Auth0 or Cognito, and FaunaDB can grow into DynamoDB.

Building a Serverless JAMStack Todo app with Netlify, Gatsby, GraphQL, and FaunaDB

This collection is a sequel to the [Building a Serverless JAMStack Todo app with Netlify, Gatsby, GraphQL, and FaunaDB](https://egghead.io/playlists/building-a-serverless-jamstack-todo-app-with-netlify-gatsby-graphql-and-faunadb-53bb) collection. In this collection we take the TODO application we built and convert it to run using Netlify Identity, AWS Lambda (using the serverless framework) and DynamoDB. We cover

* Fauna vs DynamoDB and when to use each
* Setting up AWS accounts
* Creating DynamoDB tables and data modeling differences between Fauna and Dynamo
* Converting our Netlify Functions deployment to a Serverless Framework deployment
* Implementing Custom authorizer functions on AWS

It uses tools that remove as many of the barriers as possible. Netlify Functions grows into Serverless Framework adn AWS Lambda, Netlify Identity is kept around, and FaunaDB can grows into DynamoDB.



FaunaDB is a global serverless database that gives you ubiquitous, low latency access to app data, without sacrificing data correctness. It eliminates layers of app code for manually handling data anomalies, security, and scale, creating a friendlier dev experience for you and better app experience for your users.

faunadb

Converting a Serverless App to run on AWS Lambda and DynamoDB with Serverless Framework

In this course we’ll learn how to create Twitter bots. We’ll first learn how to interface with the Twitter API using Twit.js, which allows us to post statuses, search tweets, and interact with followers. We’ll create several example bots that show the diversity of possibilities, using powerful tools such as RiTa.js, Google’s Cloud Vision API, and Tracery. We’ll learn how to tweet data from Google Spreadsheets, and to compose and tweet a song for an audio bot. We’ll also learn how to host our bot logic on Heroku and Docker. 

Twitter API Client for node

Supports both the REST and Streaming API.

twit

Create your own twitter bots

Electron is a framework that makes it easy to create cross-platform desktop apps with JavaScript, HTML, and CSS. Electron and open-source tools give you everything you need to create a compelling desktop app--native user interface elements like menus and dialogs, installers, auto-updates, and more. 

This course will teach you the core concepts of Electron so that you can leverage it to create your own desktop application for macOS and Windows. 

We'll go over:
- Creating user interfaces in Electron (both HTML based and native)
- Understanding Electron's multi-process architecture 
- Shipping your app to users

Electron is a framework for creating native applications with web technologies like JavaScript, HTML, and CSS.

electron

Build a desktop application with Electron

Create a serverless application and deploy it in under thirty minutes!

We'll be using Netlify, Vite, TypeScript, and React in our project. This stack synergizes extremely well for rapidly developing professional-quality applications. 

If you haven't heard of Vite, it's the French word for quick! It's also a build tool that consists of a dev-server and an extremely fast bundler. It makes for a rapid development loop.

As for the rest. Netlify makes hosting fast and easy with serverless functions and continuous deployment. React enables you to quickly create reusable components. And TypeScript helps you write cleaner code that is easier to refactor. 

So get started and learn how to use this stack in your own applications!

Deploy a Serverless API React Application with TypeScript

Next.js is a React framework that provides a solutions to problems such as:

- 🌟 bundling & transpiling your React code
- 🌟 code splitting
- 🌟 being able to switch between client side rendering & server side rendering depending on the page (e.g. landing page vs. settings page)
- 🌟 client-side routing

In this collection we're going to learn how to harness the power of Next.js + TypeScript and how to work with Netlify in order to deploy our site for others to enjoy!

Learn how to:
- 🔥 Create a new Next.js project
- 🔥 Add TypeScript support
- 🔥 Create styled components with Emotion
- 🔥 Use both static and dynamic routes
- 🔥 Generate fully typed static pages
- 🔥 Set up Netlify deployments
- 🔥 Add a Netlify Form to our site
- 🔥 and more!

Next.js is a minimalistic framework for server-rendered React applications.

Build a site from scratch with Next.js, TypeScript, Emotion and Netlify

We’ll get a real-time stream of tweets, and learn how to filter a stream by keyword, location, and user.

Use the Twitter Stream API with Twit.js

In this lesson we’ll load javascript into the BrowserWindow and display the Electron version on the page. Loading javascript into Electron is almost exactly the same as loading it into the browser, however it is a best practice to use the `require` syntax.

Load JavaScript in an Electron BrowserWindow

A main menu is a hallmark of native desktop applications. Electron makes it easy to create native menus and menu items in JavaScript.

We’ll go over creating a menu template using `Menu.buildFromTemplate` and then setting it as the main application menu via `Menu.setApplicationMenu`. 

Create a native desktop system menu with the Electron Menu module

In this lesson we'll learn about `dialog.showMessageBox` . This is the most basic Electron dialog but it offers lots of customization options, such as `type`, `icon`, `title`, and `buttons`. Some of these options vary by platform, so we'll also look at how things differ between Windows and Mac. 

Display native desktop dialog windows with Electron

In this video, we'll learn how to save and open a file using native dialogs in Electron. First, we'll use `dialog.showSaveDialog` to display a native save dialog and use `dialog.showErrorBox` to display an error message if the save failed. Then, we'll open the file we saved using `dialog.showOpenDialog`. Finally, we'll look at how these dialogs look on Windows vs Mac.

Save/Open a file with an Electron dialog window

Dealing with multiple processes in an application is new for many JavaScript developers. We’ll go over what exactly a process is and what the primary responsibilities of the main and renderer processes are. The main process is primarily responsible for creating native UI elements and managing the application lifecycle, while the renderer process runs the HTML based UI. Accordingly, different APIs are available in each process. 

Understand Electron’s main and renderer process architecture

In Electron, we often need to coordinate actions between multiple processes. For example, if a user clicks a button in a renderer process that makes a new `browserWindow` open, we need to be able to send a message to the main process that triggers this action. We’ll look at how to do just that using the `ipcRenderer` and `ipcMain` modules.

Communicate between Electron processes using IPC

`remote` allows you to seamlessly interact with main process modules as if they were in the renderer process. It’s a super useful abstraction over IPC. We’ll learn how to use it and how to avoid some potential gotchas it has. 

[Devtron](https://electron.atom.io/devtron/) is a devtools extension that the Electron team has made. We’ll be using it to view all of the IPC that happens in our application. In this lesson we’ll learn how to include and use it in our code. 

Communicate between Electron processes using the remote module

Every Electron application needs a custom icon. Mac needs an `icns` file and Windows needs an `ico` file. We'll learn how to use a npm module, `electron-icon-maker`, that takes a 1024x1024 PNG and then outputs all the files we need. 

Create an icon for your Electron app

We’ve been running our app in a development environment using the Electron executable. Now let’s learn how to package our app into a `.app` or `.exe` file so that we can distribute it to other users. Electron doesn't provide this functionality out of the box, so we'll use a popular and easy-to-use npm package called [electron-builder](https://github.com/electron-userland/electron-builder) to handle the details. electron-builder will automatically grab our `.ico` or `.icns` file and use that as our app's icon. 

Package your Electron application into a executable file with electron-builder

Code signing ensures that your app was created and distributed by you or your company and has not been modified since it was built. It is done via a special code signing certificate issued by a trusted authority. While you can distribute your Electron app without signing it; code signing is a security best practice and is a prerequisite to implementing auto-updates in your app. We’ll walkthrough how to integrate code signing into your electron-builder build process, what happens when you don't sign your application, and how to verify it's been signed correctly. 

This lesson assumes that you have already purchased code signing certificates from Apple and one of Microsoft's trusted vendors and have exported the certificate as a `p12` or `pfx` file. 