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  1. Learn the basics of functional programming in Python, a paradigm that uses pure functions and avoids side effects. See how to use lambda, map, filter, and reduce to write concise and transparent code.

  2. Learn how to use Python features and libraries for functional programming, a style that decomposes problems into a set of functions with no side effects. Explore the benefits and challenges of functional programming, such as formal provability, modularity, composability, and ease of debugging.

    • Introduction
    • Introduction to Functional Programming
    • Functional vs. Object-Oriented Programming
    • Declarative vs. Imperative Programming
    • Writing Functions in Functional Programming.
    • Using Recursion Instead of Loops
    • Passing Functions as Arguments to Other Functions
    • Conclusion
    • GeneratedCaptionsTabForHeroSec

    In this article, we will explore the concept of functional programming, including its differences from object-oriented programming. This article is divided into the following sections: 1. Introduction to functional programming 2. Functional vs. object-oriented programming 3. Declarative vs. imperative programming 4. Writing functions in functional ...

    Functional programming is a programming paradigm in which code is structured primarily in the form of functions. The origins of this programming style arise from a branch of mathematics known as lambda calculus, which is the study of functions and their mathematical properties. In contrast to the popular object-oriented and procedural approaches, f...

    In object-oriented programming (OOP), you structure your code based on the concept of objects. In commonly used OOP languages (such as Java or C#), we create a template for an object using the keyword class, and we instantiate an object by using the keyword new. These objects contain fields that store data and methods that manipulate data. In this ...

    Before we learn of the advantages functional programming offers, we must first discuss the differences between an imperative paradigm and a declarative paradigm. Imperative programmingsolves a problem by describing the step-by-step solution. Imperative programming is concerned with “how to solve a problem.” In contrast, declarative programmingrelie...

    As we said in the introduction to this article, the central concept in functional programming is that of a function; however, there are requirements that a function must adhere to when writing one. The first of these requirements is the function must be deterministic. That is, for any given input, the function must return the same output when provi...

    To execute a section of code repeatedly, object-oriented programmers use a while loop or a for loop. Loops do not adhere to the functional programming style because they maintain an external counter which is altered from inside the loop (side effect!). In functional programming, we use recursionto execute code repeatedly. Recursive functions are ty...

    In traditional OOP, you can pass objects as arguments to a function. In functional programming, you can pass functions as arguments to other functions. This is known as treating functions as first-class citizens, a term you may often see in industry. Let’s take a look at an example: This code defines a times3() function that multiplies the result o...

    In summary, functional programming is a powerful paradigm that confers many advantages. In this paradigm, we structure solutions in the form of functions. Functional programming differs from object-oriented programming. It follows a declarative style as opposed to an imperative style leading to code that is shorter, easier to test, less prone to bu...

    Learn the concept of functional programming, its differences from object-oriented and imperative programming, and how to write functions in Python. Explore the advantages and disadvantages of functional programming and see examples of declarative and pure functions.

  3. About this course. Continue your Python 3 learning journey with Learn Advanced Python 3: Functional Programming. Learn how to use functional programming, a powerful paradigm where solutions are structured in the form of functions. Using functional programming leads to code that is shorter, easier to test, less prone to bugs, and well-suited for ...

  4. Feb 12, 2019 · Learn how to write code in a functional style using Python, a language that incorporates some functional concepts. Explore pure functions, immutability, and higher order functions with examples and explanations.

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