Learn Mongodb, Reason and Rust

In this course, Chris takes a README-driven approach to build out a Rust CLI that supports content authoring for a digital garden.

Specifically, you'll work through the first command for the CLI, writing files. You start by initializing a new Cargo binary crate through creating the `write` command that allows you to create files (and their contents) to the folder that you set. 

Step by step you'll learn about:
- Handling user input
- Error handling
- Rust Move semantics
- Rust Copy semantics
- Integration testing

...and more!

Rust is a systems programming language that runs blazingly fast, prevents segfaults, and guarantees thread safety.

rust

Creating a Digital Garden CLI with Rust

[Rustlings](https://github.com/rust-lang/rustlings) is a set of exercises that serves as a great introduction to the Rust language. It covers many concepts from the [Rust book](https://doc.rust-lang.org/book/) by asking you to work through sets of exercises.

This collection walks you through Rustlings in a way that explains what's going on in each exercise. We cover everything from basic types to generics and threading.

Learning Rust by Working Through the Rustlings Exercises

Rust is a modern language that is close to the metal. It's got the performance of C, but with a more friendly syntax and community.

It's also memory safe, and ensures your applications are bug free by catching errors at compile time instead of runtime.

These features make Rust a great choice for developing code for embedded systems, web servers, and CLI apps. You can even compile Rust into WebAssembly in order to run it in-browser!

But as the saying goes, "before you learn to run, you must learn to walk".

In this course, you will write your first Rust application.

Starting from “Hello World” you’ll quickly move on to learning about Rust’s types, configuration files, and the `cargo` package manager along with classics like functions, loops, and handling user input.

More Rust-specific concepts like macros and pattern matching will also be introduced.

Check out these [**community notes for this course on Github**](https://github.com/eggheadio-projects/write-your-first-program-with-the-rust-language).

Next Steps: [Basic Types in Rust](https://egghead.io/playlists/data-types-in-rust-ab72)

Write Your First Program with the Rust Language

This collection contains videos that explore the basic types in Rust, including **Fixed size Integer**, **Pointer sized Integer**, **Boolean**, **Strings**, **Characters**, **Arrays**, **Tuples** and more.

If you're just starting out learning Rust and [wrote your first program](https://egghead.io/courses/write-your-first-program-with-the-rust-language), this collection is the right place to get more familiar with the language!

Basic Types in Rust

MongoDB has a quite powerful aggregation framework that allows you to write data processing pipelines. Documents in the MongoDB collection go through a series of stages or a pipeline that transforms them into an aggregated result. In this short video series, you will learn how to write aggregations in MongoDB.

mongodb

MongoDB Aggregation Framework

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.

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

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

Many languages work on a compilation story to WebAssembly, but Rust is already ready for primetime. Why?


- Rust is a stable language and great replacement for C and C++. 
- Due to the reference and borrowing concept, Rust doesn’t need a Garbage Collector and can be used for a production-ready WebAssembly project. 
- The Rust/Wasm team has built some sophisticated tooling for straightforward interoperability between Rust and JavaScript.

This course gives you the tools to compile to WebAssembly with Rust. Over 11 lessons, we’ll set up a project and explore various paths of communication and interoperability between Rust and JavaScript.

Using WebAssembly with Rust

This course foremost will teach you about the syntax and semantics of the programming language Reason or also referred to as ReasonML. In addition, the course touches on best practices recommended by the official documentation. Each lesson is focusing on a specific feature, concept or best practice and can be watched independently. Still, the whole course is carefully crafted, and each lesson builds up on the previous ones.

Simple, fast & type safe code that leverages the JavaScript & OCaml ecosystems.

reason

Get Started with Reason

Ongoing playlist.

Don't be afraid to watch videos at 1.25x if the pace is too slow!

ReasonML Applications for the React Developer

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

express

Mongoose allows you to easily select resources by ID from your MongoDB. This is an important aspect to creating an API.

Select by ID with Mongoose and Express

Learn how to import data into your MongoDB and then use Express to serve a simple Node.js API.

First API with Node.js, Express and MongoDB

ReasonReact allows React developers to leverage ReasonML's type system when creating components.

In this lesson, we take a quick spin around the ReasonReact project by creating a `<HelloWorld />` component. By the end of this lesson, you'll have learned how to create a React component using the `ReasonReact.statelessComponent` module while getting a first-hand look at some of the amazing tooling ReasonReact provides its users with!

* [ReasonML Homepage](https://reasonml.github.io/)
* [ReasonReact Homepage](https://reasonml.github.io/reason-react)

Render a Stateless Component within a ReasonML Application using ReasonReact

This lesson shows viewers how to get up and running in a new ReasonReact application using Bucklescript's `bsb` command-line tool. 

To access `bsb` on your local machine you can install globally by running

```bash
npm install -g bs-platform
```

* [ReasonML Homepage](https://reasonml.github.io/)
* [ReasonReact Homepage](https://reasonml.github.io/reason-react)

Use BuckleScript to get up and running in a new ReasonReact project

In this lesson we explore ReasonML's language basic datatypes like `integer`, `float`, `boolean`, `string`, `char`, `unit` and `list`. Further you will get familiar with the addition operator, several relational operators as well as structural equality.

Basic Datatypes and Operators in Reason

Let bindings allow to bind values to names similar to variable declaration in other languages. There are subtle differences tough in every language and we are going to explore the semantics of ReasonML's let bindings. Further we see how type inference works and it's implications. Last but not least we discover type alias.

Let bindings, Type Inference and Type Aliases in Reason

Reason has lexical scope. In this lesson we explore what this means for the visibility of bindings using local block scopes.

Scope in Reason

First we are going to investigate the if expression and compare it to JavaScript's if statement. If being an expression has multiple implications on how to use it. In the second part we are introducing the ReasonML's switch expression in it's simplest form using structural equality as well as the fall-through case.

if-else and Switch Expressions in Reason

Records are like JavaScript objects but are

* immutable by default
* fixed in field names and types

We walk through how to create, access, update and destructure records. In certain niche situations we don't know the structure of our data ahead. In such cases using ReasonML objects works great.

Records and Objects in Reason

Variants are known as tagged unions in Computer Science. They allow us to express multiple options that are exclusive, as a data structure. A concept that isn't available in too many programming languages and yet such a powerful concept.

We explore how to create variants and constructors in ReasonML and briefly touch on how to pattern match them to extract data.

Variants and Pattern Matching Variants using switch in Reason

The ability to express multiple options that are exclusive as a data structure is a powerful concept. To leverage it's full power it's requires some rethinking on how to model our data.

We are going use a simple UI example to rethink how to approach representing our state.

This lesson was highly inspired by Yaron Minky's advice to "make illegal states unrepresentable" in his talk [Effective ML](https://vimeo.com/14313378) as well as Richard Feldman's talk [Making impossible states impossible](https://www.youtube.com/watch?v=IcgmSRJHu_8&t=354s) with Elm.

Elminate Illegal States in Reason with Variants

ReasonML doesn't null. Still sometimes we want to refer to something and don't know ahead if a corresponding value will be available.
Reason therefor offers the Variant option shipping with the standard library.