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  1. Functions in python are defined using the block keyword "def", followed with the function's name as the block's name. For example: def my_function(): print("Hello From My Function!")

  2. Get started learning Python with DataCamp's free Intro to Python tutorial. Learn Data Science by completing interactive coding challenges and watching videos by expert instructors. Start Now! This site is generously supported by DataCamp. DataCamp offers online interactive Python Tutorials for Data Science.

    • Create a Function. Let's create our first function. def greet(): print('Hello World!') Here are the different parts of the program: Here, we have created a simple function named greet() that prints Hello World!
    • Calling a Function. In the above example, we have declared a function named greet(). def greet(): print('Hello World!') If we run the above code, we won't get an output.
    • Example: Python Function Call. def greet(): print('Hello World!') # call the function greet() print('Outside function') Output. Hello World! Outside function.
    • Python Function Arguments. Arguments are inputs given to the function. def greet(name): print("Hello", name) # pass argument greet("John") Sample Output 1.
  3. Information can be passed into functions as arguments. Arguments are specified after the function name, inside the parentheses. You can add as many arguments as you want, just separate them with a comma. The following example has a function with one argument (fname). When the function is called, we pass along a first name, which is used inside ...

  4. In this tutorial, you’ll learn: What the functional programming paradigm entails. What it means to say that functions are first-class citizens in Python. How to define anonymous functions with the lambda keyword. How to implement functional code using map(), filter(), and reduce()

  5. Jan 2, 2020 · In this tutorial, you'll learn all about Python functions. Follow steps to learn how to write and call functions in Python. Find code examples today!

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  7. realpython.com › courses › functional-programming-pythonFunctional Programming in Python

    In this course, you’ll learn how to approach functional programming in Python. You’ll start with the absolute basics of Functional Programming (FP). After that, you’ll see hands-on examples for common FP patterns available, like using immutable data structures and the filter() , map() , and reduce() functions.

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