Learn Netlify, Node and Python

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

Blitz.js is a fullstack React framework built on top of Next.js inspired by Ruby and Rails.

It includes everything from the database to your frontend all inside a single app. Only one development server. Only one thing to deploy.

Instead of having an API Layer, it allows you to import server code into your frontend and call it like like a normal function.

You will have one thing to deploy to a server or serverless.

In this collection, you will learn how to get started with Blitz.js. After watching this collection you will be able to:

* Create a new Blitzjs Project
* Create Pages
* Work with the database in your app

Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications. Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.

node

Getting Started with Blitz.js

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.

JavaScript® (often shortened to JS) is a lightweight, interpreted, object-oriented language with first-class functions, most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic, and supports object-oriented, imperative, and functional programming styles.

javascript

Sell Products Using Stripe Checkout and Netlify Functions

As developers, we have a responsibility to protect the data our users trust us with. No one wants to wake up to the news that their site was hacked and all of the user accounts stolen.

Security is important, yet it is often overlooked and forgotten.

Part of the reason for this is that security seems hard to get right. This results in developers crossing their fingers and hoping for the best.

In this course, you'll learn how to protect your application by learning how to attack it.

Start your journey into web security today!

Check out these [**community notes for this course on Github**](https://github.com/wjohnson85/eggheadio-web-security-essentails).

Express is a minimal and flexible Node.js web application framework that provides a robust set of features for web and mobile applications.

express

Web Security Essentials: MITM, CSRF, and XSS

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

Express is a well-known and supported framework for Node web applications. It provides a lot of excellent functionality to process requests, interact with other APIs, handle authentication and return appropriate requests for any client.

This collection will look at providing an API for a specific application but will explore concepts that will be helpful in building a wide variety of applications.

Building an API with Express

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

Learn how to build a simple REST API to store notes using the latest built-in node features including native ES modules, the fs/promises API, async/await, the nullish coalescing operator, and destructuring. No compilers, no build steps, pure code.

This collection of lessons is great for beginners to Express as long as they are familiar with JavaScript and the HTTP protocol. Those more familiar with node and express will appreciate a fast-paced, modern take on using these popular tools and will likely benefit most from the lessons on input validation, models (which emphasizes a lot of new syntax), using fs/promises to serialize a `Map`, and accessing asynchronous data with `async/await`.

Pre-requisites:

- [Install curl](https://curl.haxx.se/)
- [Install node 14](http://nodejs.org/)
- Be familiar with the terminal

View the source for this project in the [project's github repo](https://github.com/xjamundx/egghead-express).

**Notes**:

- I'm not very pedantic about REST and basically just mean an API over HTTP
- [Express 5](https://expressjs.com/en/guide/migrating-5.html) is still in alpha (and has been for over two years), but most of these lessons apply to Express 4 as long you use something like [express-async-errors](https://www.npmjs.com/package/express-async-errors) to add support for `async` routes and middleware

Build a REST API with Express 5 and node 14

This playlist will be a smorgasbord of Auth0 authentication and authorization topics. Everything from adding Auth0 to various apps, customizing your Auth0 settings, adding specific rules / audiences / features, and debugging errors. 

Auth0 Tips and Tricks 

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

Neural networks, with Keras, bring powerful machine learning to Python applications. They can answer questions like “How much traffic will hit my website tonight?” or answer classification questions like “Will this customer buy our product?” or “Will the stock price go up or down tomorrow?”

In this course, we’ll build a fully connected neural network with Keras. This is the most basic type of neural network you can create, but it’s powerful in application and can jumpstart your exploration of other frameworks. 

We’ll start the course by creating the primary network. Then we’ll:

- build and configure the network, then evaluate and test the accuracy of each
- save the model and learn how to load it and use it to make predictions in the future
- expose the model as part of a tiny web application that can be used to make predictions

You don’t need to know a lot of Python for this course, but some basic Python knowledge will be helpful. Enjoy!

Python is a widely used dynamically typed programming language. It allows for many different programming paradigms including object-oriented, imperative, functional programming, and procedural styles.

python

Fully Connected Neural Networks with Keras

While this course is for IBM Domino Developers who are looking to utilize Node.js alongside their applications, or Javascript developers looking to integrate with a Domino server. There are quite a few tips and tricks you can learn for integrating Node.js as a proxy server for any REST API you might want to communicate with your JavaScript Application.

We cover how you can continue to use cookies provided by IBM Domino for user authentication and authorization while accessing a Node.js / Express based application, including modifying the standard login form to expose authentication errors.  

We show how to store user level information inside a JWT giving the option to store functional levels of access safely.  This stateless token can then be decoded server side to list what user roles a user has and therefore can restrict functionality without having to refer back to Domino each time.

The course will demonstrate Create, Read, Update and Delete methods using the Domino Data Services all via the NodeJS application but still maintaining Domino security.

And finally, we show how you can reuse Domino generated HTML inside a handlebars template by scraping and manipulating the HTML.

Integrate IBM Domino with Node.js

The core of serverless architectures are auto-scaling systems and a pay-per-execution pricing. Two traits that allows developers to significantly reduce operational cost and complexity, by outsourcing infrastructure management to cloud providers and focus on building business logic.  

In this course we walk through the basics on how to create a serverless API. We start off creating a simple HTTP endpoint. Then we build the first two endpoints of a REST API for a simple Todo Application backend storing the data in DynamoDB. After watching this course you will be ready to get started building you first serverless backend.

Amazon Web Services (AWS) is a powerful expansive cloud infrastructure platform for building modern web applications.

AWS provides services for data, presentation, authentication, security, video encoding, and much more. Offering over 175 fully-featured services from data centers globally, AWS powers a large percentage of the internet.

Develop a Serverless Backend using Node.js on AWS Lambda

JSON Web Token (JWT) is a low overhead option for authentication that is easy to implement and scales with your application. There is no need to store session data as everything you need is stored in an encoded string sent in the JWT, significantly reducing database overhead for your servers.

In this course, we will build a simple authentication server that will act as a token issuer, and we will use those tokens to access resources on an API.  Starting from scratch, you will learn how easy token based authentication can be and will understand how to use them on your APIs as well as on the front end of your web applications.

JSON Web Token (JWT) Authentication with Node.js and Auth0

In Introduction to Python, we will start at the beginning: Installing python 3 and using virtual environments. With a working environment, we will learn how to manipulate strings and numbers, and gain working knowledge of data structures and flow control. We will build on that by introducing modules and classes and learn how to interact with our python applications using command line switches, console input and files.

At the end of this course, you’ll have a great working knowledge of Python, fully capable of creating your own Python projects from scratch or jumping into an existing application with the capability to read, understand, and contribute to the application.

Check out these [**community notes for this course on Github**](https://github.com/eggheadio-projects/introduction-to-the-python-3-programming-language-notes).

Introduction to the Python 3 Programming Language

Artificial intelligence. Machine learning. Bots. Computers learning and communicating with us to do our bidding. But, where do you start? How do you get a machine to even begin to understand what you speak or type at it? There are several common machine learning algorithms that will help us begin to answer these questions.

In this course we’ll learn about common machine learning algorithms that don’t require implementing a neural network. We will not be going too much into the math behind them, but instead learn what each algorithm is good for, and how to train them. We'll also learn about a few metrics for evaluating models.

We’ll implement these in Python using `scikit-learn` using `scikit-learn`’s built-in data sets. The focus of this course is on implementation and a high-level understanding of these algorithms. 

We'll look at a few ways to evaluate our models, for both classification and regression models. We'll touch on mean squared error and coefficient of determination (for regression), and accuracy score, logarithmic loss, confusion matrices, and classification reports (for classification). 

Python 2.7 is used in the lesson videos but the code provided has Python 3 available. The only breaking change is the `print` statement API.

For additional information on installation, vocabulary, and common errors visit the `README.md` to the course code attached to each lesson.

Simple and efficient tools for data mining and data analysis

scikit-learn

Introductory Machine Learning Algorithms in Python with scikit-learn

In this course the developer will learn how to create a LoopBack API and build it out to an API that can be used as a backend for apps. We will start by creating a basic LoopBack API project and gradually enhance it to a production ready API. The API we create defines a few models to persist the data and has custom functionality, validation and hooks added to those models. 

After our data structure is defined we will learn how to extend the functionality of LoopBack by using mixins and components. We will also lock our API down using ACL’s and create a mechanism to automatically define the admin and user roles and create our admin user.   

The last part of the course will show how how to filter the data stored in the API. We will make the API production-ready by adding unit tests, connecting it to MongoDB and we will show how to deploy the app to now.sh.   

LoopBack is a highly-extensible, open-source Node.js framework.

loopback

Build a Node.js REST API with LoopBack

In this course we will take a simple Node.js app that connects to a MongoDB database and uses an Express web server, and learn how to setup a full software development deployment process as well as how to properly “Dockerize” the app. 

We’ll step through setting up proper version control techniques, managing configuring within the environment, setting up proper build/deploy/run processes, and all with abiding by Docker best practices. We’ll also make sure our deployment is setup for scale, and have consistent development practices in place for reliable app deployments.

Docker containers wrap a piece of software in a complete filesystem that contains everything needed to run: code, runtime, system tools, system libraries – anything that can be installed on a server. This guarantees that the software will always run the same, regardless of its environment.

docker

Build a Twelve-Factor Node.js App with Docker

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

In this course, we will build a ToDo API that stores notes using the OpenAPI Specification (Swagger). We will start with a blank API definition using the Swagger Online Editor. The Swagger definition file will be used to create a Node.js API. Along the way, we will discover how to implement additional details required for a fully functional API requests and responses. We will also learn about the powerful capabilities of Swagger to generate server side code and client libraries.

Open API Initiative (OAI) is focused on creating, evolving and promoting a vendor neutral API Description Format based on the Swagger Specification

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