Elixir Lists and Recursion: Build a Map Function — PickAClass
⏱ 2h 54m 📚 29 lessons

Elixir Lists and Recursion: Build a Map Function

Learn to implement core functional programming patterns in Elixir by building a custom map function for lists using recursion, enhancing your understanding of data transformation.

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About this course

Do you want to deepen your understanding of Elixir's functional programming paradigm? Grasping how fundamental functions like `map` operate under the hood is crucial for writing robust and efficient Elixir code. This course guides you through the process of building your own `map` function, providing a strong foundation in Elixir's core concepts. By the end of this course, you will master list manipulation and recursive function design in Elixir, empowering you to write elegant and powerful data transformation logic from first principles. You will gain confidence in handling immutable data structures and designing clear, composable functions. What you'll learn: * Understand Elixir's immutable data structures, particularly lists. * Master the principles of recursion for processing collections. * Apply pattern matching effectively in recursive function definitions. * Build a custom `map` function to transform list elements. * Learn to write clear, functional, and idiomatic Elixir code. * Explore the foundational role of recursion in Elixir's `Enum` module functions. This course begins with an introduction to Elixir's list data type and the concept of recursion. You'll then progressively build a custom `map` function, applying pattern matching and recursive calls to handle various list states, culminating in a complete and functional implementation. This course is designed for absolute beginners with no prior experience in Elixir or functional programming. No prerequisites are required. Start your journey into the heart of Elixir's functional programming today.

Course contents

What you'll get

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  • ⚡ Short & focused
    2h 54m of practical content

Certificate of completion

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Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
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Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

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