Learn Grep, Node and Python

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

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

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. 

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

Auth0 Tips and Tricks 

This playlist covers all of the ways to use the node.js DocumentClient to interact with one or more DynamoDB tables.


note: We do not cover scan() as it is not recommended for most usage and if you need it you'll know how to read the documentation to use it by the end of this collection.

DynamoDB: The Node.js DocumentClient

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

Node.js is a well established server runtime that many companies are using worldwide. Express.js is a server framework for Node.js used by over 5 million projects. ReasonML is a type-safe functional language that compiles to Javascript.

This playlist collects the basic pieces of information a programmer needs to get started building servers in ReasonML on Node.js and Express.js. Follow along to learn how to get the speed of Node, combined with the added type-safety of Reason.

Making an HTTP server in ReasonML on top of Node.js

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’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 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

CMD+F in your text editor can only get you so far! In this course, we will learn to use grep and find, two powerful command-line utilities, to search through and explore our codebase. Learn to search specific files and folders, using regular expressions to look for -- or ignore! -- particular phrases. We'll cover how to search recursively, get more context on your results, and some simple tricks to make your searches faster and more targeted.


Once you're familiar with grep and find, you'll be able to quickly answer questions such as: Do I use this function anywhere other than my tests? Where does this file get imported? Whether you're working on a new feature, reading a codebase for the first time, or refactoring existing code, grep and find can help you work faster and more effectively.

A Unix command used to search files for the occurrence of a string of characters that matches a specified pattern.

grep

Use Grep for Fast Search from the Command Line

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

openapi

Build Node.js APIs with OpenAPI Spec (Swagger)

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.

Up and Running with AWS Amplify Functions

hapi is a battle-tested, full-featured, framework for building web applications and services with Node.js. With integrated support for essentials like authentication, caching and validation, and a powerful plugin system, hapi is ideal for projects and teams of any size.

This course will introduce hapi, some of it’s plugins, and guide you through many of hapi’s core features.

A rich framework for building applications and services hapi enables developers to focus on writing reusable application logic instead of spending time building infrastructure.

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