Functional Programming in C++

Overview

This comprehensive path aims to help you master the realm of functional programming within C++. You will first solidify understanding of advanced function mechanics before diving into more complex topics such as functional objects, monads, and the use of powerful libraries like Boost.Range.

Syllabus

Course 1: Mastering Functions in C++
Course 2: Designing Higher-Order Functions in C++
Course 3: Standard Higher-Order Functions in C++
Course 4: Boost.Range Library
Course 5: Functional Programming Techniques in C++
Course 6: Advanced Functional Programming Techniques

Courses

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4 hours
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This course will help you dive deep into the world of function constructs in C++. 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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4 hours
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This course introduces you to advanced aspects of handling functions in C++. You'll learn about function pointers, storing functions as variables, and dynamic function operations, such as passing and returning functions, `std::bind`, and its alternatives.
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4 hours
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Discover the power and convenience of higher-order functions in the Standard Template Library (STL). You will learn about various STL algorithms, including those for iteration, conditional checks, and accumulation, enabling more functional approaches to C++ programming.
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4 hours
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This course will introduce you to the Boost.Range library, a powerful toolset for range operations, iterators, and range-based algorithms. You will learn to utilize this library for writing cleaner and more efficient C++ code.
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2 hours
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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 C++ and teach you how to implement and compose them. You will explore the design patterns functors, monads, and monad transformers, along with practical usage scenarios.