April 29, 2024
3 minute read
Functional programmers bring a mathematical lens to the world of computer science. They specialize in a style of programming that transforms data in a series of mathematical expressions. This role can stand alone as a career or be used to bolster skills in related fields.
Technical Requirements
Functional programmers need to have a strong understanding of mathematical theories, discrete math and calculus in particular, to apply these principles to their code. Expertise in a functional programming language such as Scala, Haskell, or F# is required. They should also have foundational knowledge of computer science principles including:
- Programming fundamentals
- Data structures
- Algorithms
- Type theory
Job Description
k3se02|
Find a path to becoming a Functional Programmer. Learn more at:
OpenCourser.com/career/k3se02/functional
Reading list
We haven't picked any books for this reading list yet.
A classic text on Haskell, a purely functional programming language, providing a comprehensive overview of first-class functions, lazy evaluation, and type systems. Written by one of the pioneers of Haskell, this book is highly recommended for advanced functional programmers.
Provides a comprehensive overview of implicits in Scala. It covers the basics of implicit conversions, implicit parameters, and implicit classes, and it also discusses more advanced topics such as type classes and macros.
A comprehensive guide to first-class functions in JavaScript, covering concepts, patterns, and best practices. is ideal for intermediate JavaScript developers looking to enhance their understanding of functional programming principles.
A comprehensive introduction to Scala, covering both object-oriented and functional programming concepts, including first-class functions, higher-order functions, and immutability. Written by the creators of Scala, this book is essential for Scala beginners.
A practical guide to using Haskell for real-world applications, with a focus on first-class functions, concurrency, and type-safety. Suitable for intermediate Haskell developers who want to apply functional programming principles to practical problems.
A fast-paced introduction to Scala, covering both object-oriented and functional programming concepts, including first-class functions. is suitable for beginners and intermediate Scala developers who want to learn the basics of functional programming.
A German-language introduction to functional programming in F#, covering first-class functions, immutable data structures, and type systems. is suitable for beginners and intermediate F# developers who want to learn functional programming.
Provides a comprehensive overview of Scala. It covers the basics of the language, including implicits, and it also discusses more advanced topics such as type theory and concurrency.
A Japanese-language introduction to functional programming, covering first-class functions, higher-order functions, and lazy evaluation. is suitable for beginners who want to learn functional programming concepts.
An in-depth exploration of functional programming in Scala, with a focus on first-class functions, higher-order functions, and immutable data structures. Suitable for experienced Scala developers who want to deepen their understanding of functional concepts.
An in-depth exploration of advanced Scala topics, including advanced type systems, concurrency, and functional programming techniques. is suitable for experienced Scala developers who want to expand their knowledge and skills.
A classic text on the Scheme programming language, introducing functional programming concepts through a series of puzzles and exercises. While not explicitly focused on first-class functions, this book provides a gentle introduction to functional programming principles.
Introduces the concept of domain-driven design (DDD) and shows how to apply it to functional and reactive programming in Scala. Implicits are used extensively in DDD, and this book provides a good overview of how they can be used to improve the expressiveness and maintainability of your code.
Provides a set of guidelines for writing effective Scala code. It covers a wide range of topics, including implicits, and it provides a number of helpful tips and tricks.
Introduces the basics of data science and shows how to apply them to real-world problems using Scala. Implicits are used extensively in data science, and this book provides a good overview of how they can be used to improve the efficiency and accuracy of your models.
Introduces the basics of machine learning and shows how to apply them to real-world problems using Scala. Implicits are used extensively in machine learning, and this book provides a good overview of how they can be used to improve the efficiency and accuracy of your models.
Provides a quick and easy introduction to Scala. It covers the basics of the language, including implicits, and it also provides a number of exercises to help you practice what you learn.
Provides a gentle introduction to Scala. It covers the basics of the language, including implicits, and it also provides a number of exercises to help you practice what you learn.
Provides a collection of recipes for solving common problems in Scala. It covers a wide range of topics, including implicits, and it provides a number of helpful tips and tricks.
For more information about how these books relate to this course, visit:
OpenCourser.com/career/k3se02/functional
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