Learn Express, Python and Webstorm

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

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

Modern applications know how to keep users informed of realtime updates through notifications, popups, and other messages.

On the development side, the ability to not only create web apps but have them communicate in realtime is a quirky, standout skill for your resume. It’s interesting, useful, and powerful.

In this course, Mark Barton will show you how to use Socket.io to facilitate bi-directional client-server communication and notifications using Vue on the frontend. Socket.io is a JS library that connects a client-side library to a node.js server. In the course, you’ll see how to use Socket.io to broadcast simultaneously to all or targeted clients based on filters you set up — so the right people see the right message at the right time.

You’ll learn to set up and connect Socket.io with node.js and Vue, and you’ll get practice making informed, complex architectural decisions around realtime broadcast messaging.

Vue (pronounced /vjuː/, like view) is a progressive framework for building user interfaces. Unlike other monolithic frameworks, Vue is designed from the ground up to be incrementally adoptable. The core library is focused on the view layer only, and is very easy to pick up and integrate with other libraries or existing projects. On the other hand, Vue is also perfectly capable of powering sophisticated Single-Page Applications when used in combination with modern tooling and supporting libraries.

Vue and Socket.io for Real-Time Communication

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

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

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

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

Nodejs

Express is a minimal web server built on Node.js that provides essential functionality for delivering web applications to the browser and mobile devices. This series will guide you through the first steps of using Express for building your own applications.

Getting Started with Express.js

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

In this lesson we create a very simple web page to connect to our socket Server.

Once a client connects, it is assigned a unique random identifier as its socket ID and we will log this out to the Server console.

We will send out a random number on the socket every second and demonstrate multiple clients receiving this value at the same time.



Set up a simple Socket.io client to connect to the server.

In this lesson we connect a Vue application to our Socket Server.  

We use the pulse from the previous lesson to display a graph using the Vuetify framework and then demonstrate 2 clients showing the graph changing in sync.

Connect a Vue.js Component to a Socket.io server

**Note:** If you want to understand and follow along with the logging service Mark uses, watch this lesson: [NodeJS Logging using Winston and Papertrail](https://egghead.io/lessons/javascript-nodejs-logging-using-winston-and-papertrail)

In this lesson we will get an Express Server up and running with Socket.io.  We will build the Socket.io logic in a seperate file to demonstrate how the Socket.io instance can be used within other parts of the Express Application.

This lesson is short and sweet and lays the groundwork for the other lessons in this course. 

If you get an error starting the server which indicates a Papertrail connection error then you have not updated the Papertrail host and port in the logger.js.

You can safely ignore this error if you do not wish to use Papertrail - else you can sign up to a free Papertrail account and add the correct host and port.

Getting started with Express and Socket.io

Using a HTTP POST to trigger a message which is broadcast to all connected clients via Socket.io.  The message is displayed within a Vue component, which in this case is a [Vuetify snackbar](https://vuetifyjs.com/en/components/snackbars) component. 

As part of the lesson we demonstrate transmitting an object so we can dynamically change the snackbar color, as well as the message itself.

An example where this approach might be used is where you want a server monitoring system call a web hook on your server when there is an issue, this in turn pushes a message to connected clients, simultaneously and in real time.

Display a broadcast message using a Vuetify snackbar component which is sent via Socket.io

Often we need to send data to specific users or groups of users using Socket.io, but by default Socket.io only provides a unique volatile ID so this lesson will demonstrate how we can map on the Server a known User with that Socket ID.

The lesson will build a new Vue component which will allow a User to select their name and group and then send this information from the client to the server using the Socket.

This lesson will also use SessionStorage to store this information so if the browser is refreshed then the component will be auto populated and the details sent to the server.

Mapping a Socket.io id to a known User using an example Vue component.

In this lesson we create a Quiz Vue component which displays a random image.

The random image is read from the Server filesystem and sent over the socket to each of the connected clients.  The clients use the Quiz component to display the image in a modal window and then select an answer.  The answer is then sent back to the server over the socket.

Sending an Image from Express to a Vue Component using Socket.io

Building on the previous lesson this lesson will build a Vue component for composing a message to send to a specific user or group of users.

The lesson will not use HTTP for communication between Server and Client and Client to Server but instead use Socket.io to demonstrate bi-directional real time communication.

Once the payload has been received at the server the targeted User or Group will be identified and Socket.io will then emit the payload to them.  The clients will then use the previous lessons PopupMessage component to display the message. 

Build a Vue Component to send a message to specific users using Socket.io

In this lesson learn how to track when a client disconnects from the server as well as update our previous Vue component to display a message if the server disconnects.

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