Programming Elixir
A comprehensive guide to functional and concurrent programming using Elixir. It covers the transition from object-oriented to functional thinking, pattern matching, immutability, the actor model for concurrency, and building robust distributed systems with OTP.
Lessons
Lesson
This lesson introduces Elixir as a functional language focused on data transformation, emphasizing the importance of immutability and the use of the pipe operator for clean, predictable code. Students will also learn how Elixir’s actor-based concurrency model uses isolated processes and message passing to ensure thread safety and system scalability.
This lesson introduces the functional paradigm of Elixir, focusing on the core concept of data immutability and the use of pattern matching over variable mutation. Students will learn how to perform data transformations to create new values rather than modifying existing ones, ensuring predictable and thread-safe code.
This lesson explores foundational functional programming in Elixir, focusing on anonymous and named functions, module encapsulation, and the use of the pipe operator for data transformation. Students will also learn to leverage pattern matching and the `with` expression to handle complex, multi-step logic safely and effectively.
AI019: Recursive Lists and Data Structures (Lesson 4) explores the recursive nature of linked lists in Elixir, focusing on head-tail decomposition and the implementation of custom recursive functions. Students will learn to identify base cases, utilize the cons operator, and apply recursive patterns to perform efficient list operations.
This lesson explores the differences between greedy processing with the Enum module and lazy processing with the Stream module in Elixir. Students will learn to implement the Enumerable protocol and apply these concepts to perform memory-efficient data transformations and advanced string processing.
This lesson explores advanced Elixir control flow, focusing on pattern matching with case expressions, guard clauses, and the use of the with construct for error handling. Students will also learn to manage project structures using Mix and improve code quality through professional tooling like Credo and Dialyzer.
This lesson explores how to maintain persistent state in Elixir using recursive functions and Tail-Call Optimization (TCO) to keep processes alive. Students will learn to manage process lifecycles, handle message passing, and implement deterministic communication patterns in concurrent systems.
This lesson explores the fundamentals of the Open Telecom Platform (OTP) in Elixir, focusing on how behaviors, supervision trees, and I/O messaging enable the creation of fault-tolerant, distributed applications. Students will learn to implement GenServers and leverage the Error Kernel philosophy to build robust systems that effectively manage process lifecycles and inter-node communication.
This lesson explores advanced OTP architectures and the Five-Question Framework to achieve high-reliability state management in Elixir. Students will learn to design robust supervision trees and distributed systems by systematically defining environment constraints, focal points, and fault-tolerance strategies.
This lesson explores Elixir’s metaprogramming capabilities, focusing on how the language's homoiconic nature allows source code to be treated as data via the Abstract Syntax Tree (AST). Students will learn to design extensible software using protocols and macros while evaluating how static analysis tools like Dialyzer provide type safety without sacrificing dynamic flexibility.
Course Overview
📚 Content Summary
A comprehensive guide to functional and concurrent programming using Elixir. It covers the transition from object-oriented to functional thinking, pattern matching, immutability, the actor model for concurrency, and building robust distributed systems with OTP.
Master the art of building resilient, concurrent systems through the beauty of functional programming.
Author: Dave Thomas
Acknowledgments: José Valim, Corey Haines, Bruce Tate, Jessica Kerr, Anthony Eden, Chad Fowler, Kim Shrier, Candace Cunningham, and Potomac Indexing.
🎯 Learning Objectives
- Contrast the data transformation model of Elixir with conventional state-based programming.
- Configure the interactive Elixir shell (IEx) and execute Elixir code via scripts and compilation.
- Apply the match operator (
=), pin operator (^), and wildcard (_) to destructure and validate data. - Explain the theoretical and practical implications of immutability on performance and memory management.
- Identify and utilize Elixir's built-in types, including Value, System, and Collection types.
- Apply variable scoping rules and the
withexpression to manage complex data transformations. - Create and invoke anonymous functions using both standard and capture (
&) notation. - Implement named functions within modules using pattern matching and recursion to handle complex logic.
- Apply guard clauses and default parameters to control function execution flow.
- Deconstruct and Construct Lists: Use head/tail pattern matching to navigate and build recursive list structures.
Lessons
Overview: This lesson introduces Elixir as a functional language centered on the transformation of data rather than the mutation of state. Students will learn to navigate the Elixir environment (IEx), compile and run scripts, and master Pattern Matching—the fundamental mechanism Elixir uses for variable binding and control flow.
Learning Outcomes:
- Contrast the data transformation model of Elixir with conventional state-based programming.
- Configure the interactive Elixir shell (IEx) and execute Elixir code via scripts and compilation.
- Apply the match operator (
=), pin operator (^), and wildcard (_) to destructure and validate data.
Overview: This lesson explores the foundational philosophy of Elixir: immutability. Students will learn how Elixir handles data as unchangeable entities, the performance benefits of this approach, and the various built-in types—from simple value types like atoms and ranges to complex collections like maps and binaries. The lesson concludes with a deep dive into variable scoping and the powerful with expression.
Learning Outcomes:
- Explain the theoretical and practical implications of immutability on performance and memory management.
- Identify and utilize Elixir's built-in types, including Value, System, and Collection types.
- Apply variable scoping rules and the
withexpression to manage complex data transformations.
Overview: This lesson explores the core of Elixir programming: functional transformation. It covers the transition from anonymous functions and closures to structured modules and named functions. Students will learn to leverage pattern matching, recursion, and the pipe operator to create concise, readable, and maintainable code while interacting with the underlying Erlang VM.
Learning Outcomes:
- Create and invoke anonymous functions using both standard and capture (
&) notation. - Implement named functions within modules using pattern matching and recursion to handle complex logic.
- Apply guard clauses and default parameters to control function execution flow.
Overview: This lesson covers the fundamental mechanics of Elixir lists through recursion, specifically focusing on the "Head and Tail" pattern to process and build data. It transitions into complex data structures—Maps, Structs, and Keyword Lists—providing a decision framework for selecting the right structure and advanced techniques for manipulating nested data using the Access module and Elixir’s type system theory.
Learning Outcomes:
- Deconstruct and Construct Lists: Use head/tail pattern matching to navigate and build recursive list structures.
- Implement Higher-Order Patterns: Create custom
mapandreducefunctions to transform or aggregate list data. - Select Appropriate Data Structures: Differentiate between Maps, Structs, and Keyword Lists based on performance, ordering, and data integrity needs.
Overview: This lesson explores the dual approach to collection processing in Elixir: the greedy Enum module and the lazy, composable Stream module. It also provides a deep dive into data transformation via comprehensions and the internal mechanics of Elixir strings, distinguishing between character lists (single-quoted) and binaries (double-quoted). Students will learn to process complex data structures, handle infinite data, and perform low-level bit extraction.
Learning Outcomes:
- Differentiate between greedy and lazy evaluation when processing collections.
- Utilize list comprehensions with multiple generators and filters to transform data and extract bit-level information.
- Distinguish between single-quoted strings (character lists) and double-quoted strings (binaries) and apply the correct module (List vs. String) for manipulation.
Overview: This lesson guides developers through the transition from writing isolated Elixir functions to building, testing, and monitoring professional-grade applications. It covers advanced control structures (case, cond), the lifecycle of a Mix project (from directory structure to CLI executables), and the suite of professional tools used for debugging, property-based testing, and server monitoring.
Learning Outcomes:
- Implement complex branching logic using
case,cond, and exception handling. - Structure Elixir projects using
Mix, manage external dependencies likeHTTPoisonandPoison, and configure application environments. - Develop robust test suites utilizing
ExUnit,DocTest, and property-based testing withStreamData.
Overview: This lesson explores the transition from single-process Elixir applications to distributed systems. It covers the mechanics of message handling, process persistence through tail-recursive loops, and the robust management of process lifecycles via links and monitors. Finally, it introduces the Erlang VM's distribution model, teaching how to connect nodes, secure them with cookies, and handle I/O across a network.
Learning Outcomes:
- Implement stateful, persistent processes using tail recursion and message timeouts.
- Construct fault-tolerant process trees using linking (
spawn_link) and monitoring (spawn_monitor). - Configure and connect distributed nodes using naming conventions, security cookies, and global process registration.
Overview: This lesson introduces the Open Telecom Platform (OTP) framework within the Elixir ecosystem, specifically focusing on the GenServer behavior and Supervisor patterns. Students will learn how to build robust, stateful server processes, differentiate between synchronous and asynchronous communication, and implement fault-tolerant supervision trees that automatically manage process lifecycles.
Learning Outcomes:
- Define the core components of OTP and implement the standard
GenServercallback lifecycle. - Differentiate between and implement synchronous (call) and asynchronous (cast) message patterns.
- Configure and deploy a Supervisor to monitor worker processes and maintain system reliability across failures.
Overview: This lesson transitions from individual GenServers to designing and deploying complex, multi-component OTP applications. It covers the architectural design of the "Duper" duplicate file finder, the mechanics of OTP application specifications, and advanced deployment techniques including hot upgrades using Distillery. Additionally, it explores simplified state management alternatives like Tasks and Agents, providing a framework for choosing the right tool for specific concurrency needs.
Learning Outcomes:
- Analyze application requirements using the five-question framework to identify focal points and runtime characteristics.
- Construct a multi-server OTP application (Duper) utilizing specialized servers (Results, PathFinder, Gatherer) and Dynamic Supervisors.
- Perform code releases and hot upgrades using Distillery, including state migration via the
code_changecallback.
Overview: This lesson explores the advanced extensibility of Elixir, focusing on how to manipulate code as data through metaprogramming and macros. Students will learn to achieve polymorphism using Protocols and Behaviours, structure large-scale systems with Umbrella projects, and implement robust error handling. Finally, the lesson covers adding a layer of static analysis using Elixir’s type system and Dialyzer to ensure code correctness.
Learning Outcomes:
- Master the use of
quoteandunquoteto inject and manipulate code blocks within macros. - Implement custom Protocols and Behaviours to create polymorphic and reusable code structures.
- Construct Multi-app Umbrella projects and apply formal Type Specifications to dynamic Elixir code.