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Learn Functional Programming in Python - AI-Powered Course
4.6
Beginner
5h
Updated 3 months ago
Learn Functional Programming in Python
Gain insights into functional programming in Python, learn about functions as objects, recursion, closures, and generators, and discover how to confidently apply these concepts to your projects.
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Overview
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The functional programming paradigm can be a powerful tool, especially as it can be integrated seamlessly with procedural and object-oriented code in Python.
In this course, you’ll learn what functional programming is, how it’s used, and the features of Python that support it. To start, you’ll learn how functions act as objects, the role of mutability, and how to perform recursion.
In the latter half of the course, you’ll focus on closures, iterables & iterators, generators, and more. Throughout the course will be three exams which will test your understanding and really drive home what you’ve learned.
By the end, you’ll have a new programming paradigm to add under your belt and have the confidence to start using functional programming in your own projects.
The functional programming paradigm can be a powerful tool, especially as it can be integrated seamlessly with procedural and ob...Show More
WHAT YOU'LL LEARN
Learn to implement functional programming in Python.
Understand the pros and cons of functional programming in Python.
Master the ways to obtain function objects.
Grasp the concept of mutability and recursion in Python.
Acquire skill of using closures as function factories.
Learn to differentiate between iterators and iterables.
Become competent in creating, reducing, and transforming iterables.
Master list comprehensions and generator comprehensions.
Implement function composition and partial application.
Get familiar with functors, applicatives, and monads.
Learn to implement functional programming in Python.
Show more
TAKEAWAY SKILLS
Recursion
Functional Programming
Mutability
Closures
Iterators
Transforming Iterables
Reducing Iterables
Comprehensions
Generators
Partial Application
Currying
Functors
Monads
Content
95 Lessons12 Quizzes3 Assessments2 Challenges
1.
Introduction
5 Lessons
Get familiar with functional programming in Python, its characteristics, advantages, and challenges.
2.
Functions as Objects
8 Lessons
Discover the logic behind treating functions as first-class objects in Python.
3.
Mutability
6 Lessons
Break apart the concepts of mutability in Python, understanding both mutable and immutable objects.
4.
Recursion
8 Lessons
Break down complex ideas in recursion, factorials, limits, memoization, and list flattening.
5.
Closures
8 Lessons
Deepen your knowledge of closures, combining functions, and using functions versus classes.
6.
Iterators
13 Lessons
Focus on iterators, iterables, lazy evaluation, creating custom iterators, and built-in functions.
7.
Transforming Iterables
9 Lessons
Build on Python functions like enumerate, zip, filter, and map for iterable transformations.
8.
Reducing Iterables
7 Lessons
Step through Python's reducing functions to transform iterables into single outcomes efficiently.
9.
Comprehensions
5 Lessons
Get started with creating lists using comprehensions, conditions, and nested structures in Python.
10.
Generators
7 Lessons
Go hands-on with generators in Python, enhancing iterator creation and memory efficiency.
11.
Partial Application and Currying
10 Lessons
Grasp the fundamentals of closures, partial application, currying, and function composition in Python.
12.
Functors and Monads
6 Lessons
Deepen your knowledge of functors, applicative functors, and monads in functional programming.
13.
Useful Libraries
2 Lessons
Simplify complex topics in Python with Itertools, Functools, PyMonad, and Oslash libraries.
14.
Conclusion
1 Lessons
Build on your functional programming skills with key concepts and continued exploration.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
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