Skip to content
Navigation Menu
Sign in
Appearance settings
Platform
AI CODE CREATION
GitHub Copilot
Write better code with AI
GitHub Copilot app
Direct agents from issue to merge
MCP Registry
Integrate external tools
DEVELOPER WORKFLOWS
Actions
Automate any workflow
Codespaces
Instant dev environments
Issues
Plan and track work
Code Review
Manage code changes
Code Quality
Enforce quality at merge
APPLICATION SECURITY
GitHub Advanced Security
Find and fix vulnerabilities
Code security
Secure your code as you build
Secret protection
Stop leaks before they start
EXPLORE
Why GitHub
Documentation
Blog
Changelog
Marketplace
View all features
Solutions
BY COMPANY SIZE
Enterprises
Small and medium teams
Startups
Nonprofits
BY USE CASE
App Modernization
DevSecOps
DevOps
CI/CD
View all use cases
BY INDUSTRY
Healthcare
Financial services
Manufacturing
Government
View all industries
View all solutions
Resources
EXPLORE BY TOPIC
AI
Software Development
DevOps
Security
View all topics
EXPLORE BY TYPE
Customer stories
Events & webinars
Ebooks & reports
Business insights
GitHub Skills
SUPPORT & SERVICES
Documentation
Customer support
Community forum
Trust center
Partners
View all resources
Open Source
COMMUNITY
GitHub Sponsors
Fund open source developers
PROGRAMS
Security Lab
Maintainer Community
GitHub Stars
Archive Program
REPOSITORIES
Topics
Trending
Collections
Enterprise
ENTERPRISE SOLUTIONS
Enterprise platform
AI-powered developer platform
AVAILABLE ADD-ONS
GitHub Advanced Security
Enterprise-grade security features
Copilot for Business
Enterprise-grade AI features
Premium Support
Enterprise-grade 24/7 support
Pricing
Search
/
Sign in
Sign up
Appearance settings
You signed in with another tab or window.
Reload
to refresh your session.
You signed out in another tab or window.
Reload
to refresh your session.
You switched accounts on another tab or window.
Reload
to refresh your session.
Dismiss alert
{{ message }}
X-Nicolo
ReLearnPython3
Repository navigation
Code
Issues
Pull requests
Actions
Projects
Security and quality
Insights
More
items
Files
Expand file tree
master
Breadcrumbs
ReLearnPython3
/
lambda.py
Copy path
Blame
More file actions
Blame
More file actions
Latest commit
History
History
History
29 lines (18 loc) · 1.13 KB
master
Breadcrumbs
ReLearnPython3
/
lambda.py
Copy path
Top
File metadata and controls
Code
Blame
29 lines (18 loc) · 1.13 KB
Raw
Copy raw file
Download raw file
Open symbols panel
Edit and raw actions
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
# lambda 匿名函数
# 当我们在传入函数时,有些时候,不需要显式地定义函数,直接传入匿名函数更方便。
# 在Python中,对匿名函数提供了有限支持。还是以map()函数为例,计算f(x)=x2时,除了定义一个f(x)的函数外,还可以直接传入匿名函数:
print(list(map(lambda x: x * x,[1,2,3,4,5,6,7,8,9])))
# 通过对比可以看出,匿名函数lambda x: x * x实际上就是:
# def f(x):
# return x * x
# 关键字lambda表示匿名函数,冒号前面的x表示函数参数。
# 匿名函数有个限制,就是只能有一个表达式,不用写return,返回值就是该表达式的结果。
# 用匿名函数有个好处,因为函数没有名字,不必担心函数名冲突。此外,匿名函数也是一个函数对象,也可以把匿名函数赋值给一个变量,再利用变量来调用该函数:
f = lambda x: x * x
print("lambda使用",f(5))
# 也可以把匿名函数作为返回值返回
def build(x,y):
return lambda: x*x + y*y
build(2,3)
# 小结
# Python对匿名函数的支持有限,只有一些简单的情况下可以使用匿名函数。
You can’t perform that action at this time.