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A short class with Sarah and her students. The other ways are under More.
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Today, we’re going to dive into functional programming, a programming paradigm that treats computation as the evaluation of mathematical functions. To start, can someone tell me what they think functional programming means?
Is it just about writing functions all the time?
Not quite. While functions are central, functional programming also emphasizes immutability and avoiding side effects. Can anyone explain what immutability means?
I think it means that once data is created, it can’t be changed?
Exactly! Immutability ensures that data does not change, which leads to fewer bugs in the code. Remember, in functional programming, instead of changing existing data, we create new data structures. Let's keep that in mind!
Now that we have an idea of what functional programming is, let’s talk about its key characteristics. These include first-class functions, higher-order functions, and pure functions. Can anyone explain what a first-class function is?
I think it’s a function that can be treated like any other variable?
Correct! Functions as first-class citizens can be defined, passed around, and returned from other functions. Higher-order functions also utilize this principle. Should we try to think of an example where we might pass a function as an argument?
Like a callback function in JavaScript?
Exactly! Callbacks are a common application of higher-order functions. Fantastic connection!
Let’s discuss why functional programming is beneficial. One major advantage is how it allows for easier reasoning about programs. Why do you think that's the case?
Because functions don’t change state?
Exactly! With no side effects, you can always predict the output of a function given the same input. It enhances code modularity and reusability. Does anyone want to give an example of a real-world application of functional programming?
I'll say applications in AI or data analysis use functional programming?
Great point! Functional programming is quite beneficial in areas such as those due to their need for high-level abstractions.
Now, let’s talk about the languages that support functional programming. Any ideas on which ones come to mind?
Haskell is one, right?
Yes! Haskell is a pure functional language. Other examples include Scala and even Python. Python’s map, filter, and reduce functions are great illustrations of functional programming.
Can we use functional programming techniques in JavaScript too?
Absolutely! JavaScript supports higher-order functions, making it a versatile choice for functional programming.
A paradigm treating computation as the evaluation of functions, focusing on immutability and stable outputs.
The inability to change data once it is created, ensuring stability and predictability.
Functions yielding the same output for the same inputs without causing side effects.
In functions we trust, with data that won’t bust.
Imagine a library where every book (data) is never altered. Instead, when you want to change a story, you create a whole new book without touching the original.
PIMA - Pure functions are Immutable and have no side effects.
F.A.M.E - Functional Programming: Functions, Avoid Side effects, Mathematical outputs, Evaluate data.
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What is Functional Programming?
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What is Immutability?
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Define Pure Function.
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What are Higher-Order Functions?
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A programming paradigm focused on writing software through the evaluation of mathematical functions, emphasizing immutability and statelessness.
The concept that data cannot be changed once created; instead, new data structures are created.
A function that can be treated like any other variable; it can be assigned to variables, passed as arguments, or returned from other functions.
A function that takes another function as an argument or returns a function as a result.
A function that returns the same output for the same input and has no side effects.
Functional programming is a programming paradigm centered around mathematical functions that avoid changing states or mutable data.
In this section, we explore the concepts of functional programming, emphasizing its core principles such as statelessness and immutability. We highlight languages that support functional programming and how it differs from other paradigms like procedural and object-oriented programming.
Functional programming is a programming paradigm that treats computation as the evaluation of mathematical functions and avoids changing states and mutable data. Unlike procedural programming, which is based on a sequence of instructions, functional programming focuses on the execution of functions.
Languages like Haskell, Scala, and the functional features in Python and JavaScript embrace these principles, allowing developers to create robust and modular applications.
Functional programming offers a unique approach to developing software, focusing on the use of functions to drive logic, which is especially beneficial in concurrent and parallel programming scenarios where shared state can lead to complexity.