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Our collection of free episodes is a great place to start learning Elixir. You'll get an introduction to essential features of Elixir like pattern matching, Plug, and GenServer.
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If you want to get started using Elixir, but don’t know where to begin - this is a great place to start. We’ll dive into how to create and call named and anonymous functions in Elixir.
Jump into the Elixir GenServer module. In this episode we’ll get started using GenServer to create a simple shopping list module that can we can use to add, remove, and view our groceries.
Plug is an essential tool when building web applications in Elixir. In this episode we’ll dive into function plugs by building one and using it in an existing Phoenix application.
In this episode we’ll get an intro to module plugs in Elixir. We’ll take an existing function plug and convert it into a module plug - highlighting the difference between the two.
Pattern matching is one of the fundamental features of Elixir. In this episode we get a simple introduction to it and some of the ways it’s used in Elixir.
Elixir Agents are used to manage state. In this episode we’ll learn how we can use an Agent to update and retrieve some state of our own.
In this episode we’ll learn about three different control structures in Elixir: if/else, case, and cond. If you’re new to Elixir or just learning programming this is a great episode to start with.
In this episode we take a look at guards and how we can use them in Elixir. We’ll start by using guards with functions to see how they work. Then we’ll extract them into custom guards with defguard.
In this episode we’ll be exploring one of the key features of Elixir: tasks. Tasks make it easy to run Elixir code concurrently. In this episode we’ll look at some common ways Task is used.
The pipe operator is one of the great features that makes it fun to write Elixir code. In this episode we’ll see how to use it to chain operations together in a way that’s easy to read.
In this episode we’ll get an introduction to Elixir Streams. We’ll see why they’re called “lazy enumerables” and how they can be composed to perform more complex transformations.