Learn Angularjs, Puppeteer and Python

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.

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

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.

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Fully Connected Neural Networks with Keras

End-to-end testing assures you of a few things: that all the integrated pieces of an application properly function, all those pieces work together as expected, and your tests include and simulate real-user scenarios — something unit and integration tests just don't do.

This course introduces you to two great tools for E2E testing: 

* Puppeteer opens and runs applications in a Chromium browser and performs the actions it's given.
* Jest asserts that the integrated pieces work as expected and that add-on libraries like Faker and pixelmatch take our tests to the next level.

Over 9 lessons, we will create common application features and use Puppeteer and Jest to run different types of tests against them. You'll get practice using these tools to render content, mimic user activity, automate tests, and measure the overall performance of your application.

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End to End Testing with Google's Puppeteer and Jest

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

One of the hardest things about writing non-trivial applications is managing state. In our attempt to effectively manage state, we introduce additional complexity by trying to control application flow and the amount of code volume that comes from all of this. Redux gives us the ability to address state management and communication in astonishingly simple semantics that can be explained in just a couple minutes. The beauty of Redux is that it is not only a library but a pattern that works very will within Angular 1.x applications. In this series, we are going to learn how to integrate redux (the pattern) into Eggly from scratch and then introduce **ng-redux** and add in **Redux DevTools** at the end for fun.

AngularJS is an open-source JavaScript framework, maintained by Google, that assists with running single-page applications. Its goal is to augment web-based applications with model–view–controller (MVC) capability, in an effort to make both development and testing easier.

angularjs

Build Angular 1.x Apps with Redux

AWS Amplify allows developers to create, configure, and deploy Serverless APIs and functions directly from their front-end environment.In this collection, you'll learn how to deploy various types of APIs and functions using the Amplify CLI. You'll also learn how to share code among various functions using Lambda layers and schedule functions to run at an interval to implement Serverless cron jobs.

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

Up and Running with AWS Amplify Functions

Implementing modern component-based architecture in your new or existing Angular 1.x web application is a breath of fresh air.

In this course, you are going to take a close look at Eggly, an Angular 1.x application for organizing bookmarks, and build it using modern patterns and practices, inspired by Angular 2's recommended architecture.

You will learn how to leverage ES6 in your Angular 1 applications through Babel, and fully understand the core patterns that are used in a composed modular web application. 

This course will teach you how to leverage your existing knowledge of Angular, while preparing your mind (and applications!) for the future.

If you are interested, there is a [companion guide](http://www.angular2patterns.com/) that digs deeper into the patterns found in this course and Angular 2.

Using Angular 2 Patterns in Angular 1.x Apps

How much work would it take for you to move all of your directives and their templates to several different new directories? You'd have to update the templateUrl, script tags, etc., etc. With webpack, this can be trivial. For example, you don't need to worry about loading your templates in the $templateCache ever again. Webpack will help you modularize your css and tests. All of these things and more in this series so you can start using webpack with Angular today.

AngularJS and Webpack for Modular Applications

Ionic allows you to build cross platform native applications using Angular. In this course we will convert the Eggly AngularJS application into an Ionic mobile application.

Building an Angular 1.x Ionic Application

Welcome to the *Ionic Quickstart* series where you will learn how to get started with Ionic from the ground up. We will begin with how to install the required dependencies such as Node.js, Android SDKs and even GenyMotion to installing and running Ionic. By the time you finish, you will know how to create, edit and run an Ionic application. If you are on Windows or Mac and not sure where to start with hybrid mobile development, this is a great place to start!

Ionic Quickstart for Windows and Mac

Angular Material is an Angular-native, UI component framework from Google. It is a reference implementation of Google's Material Design and provides >30 UI components and services essential for mobile and desktop AngularJS applications.

In this course, we will quickly build a real-work application Angular UI application, take a tour of Angular Material, and learn how ngMaterial can be used in your projects.

*presented by Thomas Burleson and Aaron Frost*

Introduction to AngularJS Material

In this series we will take a look at Gulp. Gulp is a task runner. It is the commander of our army of helper robots that take critical, yet totally mundane, tasks and perform them hundreds of times per day so we don't have to. When we sit down to work, we want to enter a single command, and then spend the rest of our day writing code, testing, and basically not thinking about how it is all glued together in the background.

Automation is critical to any project of significant size. We will start with the Eggly Bookmarks application, and develop proper build automation that will include **production ready** tools that you can start using in your applications today!

Angular Automation with Gulp

One challenge when learning AngularJS is that most examples are trivial. It is difficult to find materials on learning "real-world" patterns and practices.

The joy of Angular is that you are free to build an application in any form that you wish. MCV, MVVM, MVP, MV*whatever*... You get to decide! Freedom is wonderful. 

"But what if I choose poorly?"

Good question.

This series will demonstrate how to organize and tool your AngularJS application for real work. It's an opinion. A way that has worked on our own projects. Use it as a guide for building the solution that best suits the needs of your projects. All projects are different, but with the right set of modular tools you can build a foundation for success.

Building on the previous series, we are going to refactor Eggly to be modular and scalable. By introducing modules and sub-modules, domain models and state management with ui-router, we will start to establish best practices on how an AngularJS application should not only function, but fit together.

Be sure to check out Part 1: [AngularJS App From Scratch: Getting Started](https://egghead.io/courses/angularjs-app-from-scratch-getting-started)

AngularJS Application Architecture

**Data** is the bedrock of any application, including your AngularJS project. This series will dive deep into data models, and how to effectively use them in your applications. 

AngularJS's solution out of the box is $resource, but this service isn't always the best solution. Many times we need a custom model layer that serves the needs of our application. This series explores building a $resource alternative from scratch using TDD.

It's intended for **intermediate-advanced AngularJS developers** that want to dig a little deeper to lower level abstractions for core systems in their applications.

AngularJS Data Modeling

JSON Web Tokens (JWT) are a more modern approach to authentication. As the web moves to a greater separation between the client and server, JWT provides a terrific alternative to traditional cookie based authentication models. For more information on JWT visit http://jwt.io/

In this series, we’ll be building a simple application to get random user information from a node server with an Angular client. We’ll then implement JWT to protect the random user resource on the server and then work through the frontend to get JWT authentication working.

By the end, we’ll have an application which has a single username/password combination (for simplicity) and uses tokens to authorize the client to see the random user information. You’ll be able to login, get random users, and logout.

AngularJS Authentication with JWT

AngularJS is an incredibly powerful framework but sometimes it can be confusing and frustrating trying to figure out how all of these amazing features actually fit together. In this series, you will learn how to build a non-trivial AngularJS application from the ground up through a series of small, digestible lessons. 

As we build out our sample application, Eggly, you will quickly start to identify useful techniques that you can apply to your own projects.  The videos series is broken out into three series so that you can start at whatever level is most appropriate for you.

### Getting Started

In this first series, we are going to focus on the absolute essentials for getting an AngularJS application up and running. We will start with a static HTML page and learn how to bootstrap an AngularJS application and add in functionality using AngularJS views and controllers. When we complete this section, you will have a functioning Eggly application where you can create, update and delete bookmarks and filter them based on the selected bookmark category. 

Don't miss **[Part 2: Application Architecture](https://egghead.io/course/angularjs-application-architecture)**!



AngularJS Fundamentals

Learn how to create tuples in Python. The videos in this collection will also cover more advanced features of tuples

The Ins and Outs of Python Tuples

Now that we have ui-router states in our Angular application, we can discuss the three ways to activate a state within ui-router. We will programmatically activate a state using `$state.go` and capture user interactions with the `ui-sref` directive.

AngularJS Architecture: navigating between states with ui-router

In this lesson, we continue to dig into ui-router while doing some significant refactoring to our Eggly application. 

We will start out by removing MainCtrl entirely from the application as we start to move functionality to more appropriate places with the application. We will build out the edit and create sub-modules to include the states and controllers for editing and creating a bookmark. With our states defined, will leverage them to manage our view instead of the ng-if statements we were previously using. We tie it all together by using CategoriesModel to track the current category and provide functionality to the BookmarksListCtrl.

We cover a lot of material in this lesson as we start to apply the concepts covered previously to finalize functionality in the application. 

AngularJS Architecture: Edit and Create Bookmark States

In this lesson, we review the high level concepts that we covered over the course of this series including file structure, sub-modules, data models, ui-router and animations. 

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