How to create higher-order functions in Python?
In Python, a function that takes another function as a parameter or returns a function as output is called a higher-order function. Let's take a look at its features -
This function can be stored in a variable.
This function can be passed as a parameter to another function.
Higher-order functions can be stored in lists, hash tables, etc.
Functions can be returned from functions.
Let’s look at some examples −
Function as Object
The Chinese translation ofExample
is:Example
In this example, these functions are treated as objects. Here, the function demo() is assigned to a variable -
# Creating a function def demo(mystr): return mystr.swapcase() # swapping the case print(demo('Thisisit!')) sample = demo print(sample('Hello'))
Output
tHISISIT! hELLO
Passing functions as parameters
The Chinese translation ofExample
is:Example
Passed as a parameter in this function. demo3() The function calls the demo() and demo2() functions as parameters.
def demo(text): return text.swapcase() def demo2(text): return text.capitalize() def demo3(func): res = func("This is it!") # Function passed as an argument print (res) # Calling demo3(demo) demo3(demo2)
Output
tHIS IS IT! This is it!
Now, let’s discuss decorators. We can use decorators as higher order functions.
Decorators in Python
The Chinese translation ofExample
is:Example
In a decorator, a function is passed as a parameter to another function and then called in the wrapping function. Let’s look at a quick example −
@mydecorator def hello_decorator(): print("This is sample text.")
The above can also be written as -
def demo_decorator(): print("This is sample text.") hello_decorator = mydecorator (demo_decorator)
Decorator example
The Chinese translation ofExample
is:Example
In this example, we will work with decorators as higher-order functions -
def demoFunc(x,y): print("Sum = ",x+y) # outer function def outerFunc(sample): def innerFunc(x,y): # inner function return sample(x,y) return innerFunc # calling demoFunc2 = outerFunc(demoFunc) demoFunc2(10, 20)
Output
Sum = 30
Example
is:Example
def demoFunc(x,y): print("Sum = ",x+y) # outer function def outerFunc(sample): def innerFunc(x,y): # inner function return sample(x,y) return innerFunc # calling demoFunc2 = outerFunc(demoFunc) demoFunc2(10, 20)
Output
Sum = 30
Apply syntax decorator
The Chinese translation ofExample
is:Example
The above example can be simplified using a decorator with @symbol. The application of decorators can be simplified by placing the @ symbol before the function we want to decorate -
# outer function def outerFunc(sample): def innerFunc(x,y): # inner function return sample(x,y) return innerFunc @outerFunc def demoFunc(x,y): print("Sum = ",x+y) demoFunc(10,20)
Output
Sum = 30
The above is the detailed content of How to create higher-order functions in Python?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.
