Functional Programming in Python

Overview

This comprehensive path aims to help you master the realm of functional programming within Python. You will first solidify understanding of advanced function mechanics before diving into more complex topics such as functional objects, iterators, functors and monads.

Syllabus

Course 1: Mastering Functions in Python
Course 2: Designing Higher-Order Functions in Python
Course 3: Standard Higher-Order Functions in Python
Course 4: Generators and Iterators in Python
Course 5: Functional Programming Techniques
Course 6: Advanced Functional Programming Techniques

Courses

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3 hours
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This course will help you dive deep into the world of function constructs in Python. You will revisit the basics of functions, explore advanced topics like lambda expressions and recursion, and master techniques essential for efficient and effective function usage within your programs.
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2 hours
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This course introduces you to advanced aspects of handling functions in Python. You'll learn about storing functions as variables, and dynamic function operations, such as passing and returning functions, and partial application.
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3 hours
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Discover the power and convenience of higher-order functions in Python's standard library. You will learn about various Python techniques and functions that enable more functional approaches to Python programming.
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3 hours
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This course will introduce you to the essential concepts of generators and iterators in Python. You will learn how to work with these constructs to efficiently handle large datasets and create clean and readable code.
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This course dives into the intricacies of functional objects in Python, with a focus on functors, currying, and partial application. You'll learn how to harness these powerful concepts to create more modular, reusable, and maintainable code.
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3 hours
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This advanced course will introduce you to the concept of monads in Python and teach you how to implement and compose them. You will explore the design patterns functors, monads, and their practical usage scenarios.