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Functional Programming in Python

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Overview

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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

  • Mastering Functions in Python
    • 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.
  • Designing Higher-Order Functions in Python
    • 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.
  • Standard Higher-Order Functions in Python
    • 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.
  • Generators and Iterators in Python
    • 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.
  • Functional Programming Techniques
    • 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.
  • Advanced Functional Programming Techniques
    • 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.

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