Preface
This article discusses Python’s for…else
and while…else
syntax. These are the most popular syntaxes in Python. One of the least commonly used and most misunderstood features of grammar.
for
, while
and other loops in Python have an optional else
branch (similar to the if
statement Like the try
statement), it is executed after the loop iteration has completed normally. In other words, if we don't exit the loop any other way than the normal way, the else
branch will be executed. That is, there is no break
statement, no return
statement, or no exception occurs in the loop body.
Let’s take a look at detailed usage examples.
1. Conventional if else usage
##
x = True if x: print 'x is true' else: print 'x is not true'
2. If else shortcut usage
The if else here can be used as a ternary operator.
mark = 40 is_pass = True if mark >= 50 else False print "Pass? " + str(is_pass)
3. Use it with the for keyword
when the following conditions are met At this time, the code block underelse will be executed:
for loop are executed
for The statements in the loop are not interrupted by the
break statement
# 打印 `For loop completed the execution` for i in range(10): print i else: print 'For loop completed the execution' # 不打印 `For loop completed the execution` for i in range(10): print i if i == 5: break else: print 'For loop completed the execution'
## 4. Use with the while keyword. Similar to the above, when the following conditions are met, the code block under
else will be executed: 1.
The statements in the loop are executed
2.
The statements in the loop are not interrupted by the break
statement Break
# 打印 `While loop execution completed` a = 0 loop = 0 while a <= 10: print a loop += 1 a += 1 else: print "While loop execution completed" # 不打印 `While loop execution completed` a = 50 loop = 0 while a > 10: print a if loop == 5: break a += 1 loop += 1 else: print "While loop execution completed"
5. Use and # together with try except ##try except
When used together, if no exception is thrown, the statements inelse can be executed.
file_name = "result.txt" try: f = open(file_name, 'r') except IOError: print 'cannot open', file_name else: # Executes only if file opened properly print file_name, 'has', len(f.readlines()), 'lines' f.close()Summary
This is a summary of the usage of else in loop statements in Python That’s basically it. This article still has certain reference value for everyone to learn or use Python. I hope it can be helpful to everyone. If you have any questions, you can leave a message to communicate.
For more related articles on the usage summary of else in Python loop statements, please pay attention to the PHP Chinese website!
TomergelistsinPython,youcanusethe operator,extendmethod,listcomprehension,oritertools.chain,eachwithspecificadvantages:1)The operatorissimplebutlessefficientforlargelists;2)extendismemory-efficientbutmodifiestheoriginallist;3)listcomprehensionoffersf

In Python 3, two lists can be connected through a variety of methods: 1) Use operator, which is suitable for small lists, but is inefficient for large lists; 2) Use extend method, which is suitable for large lists, with high memory efficiency, but will modify the original list; 3) Use * operator, which is suitable for merging multiple lists, without modifying the original list; 4) Use itertools.chain, which is suitable for large data sets, with high memory efficiency.

Using the join() method is the most efficient way to connect strings from lists in Python. 1) Use the join() method to be efficient and easy to read. 2) The cycle uses operators inefficiently for large lists. 3) The combination of list comprehension and join() is suitable for scenarios that require conversion. 4) The reduce() method is suitable for other types of reductions, but is inefficient for string concatenation. The complete sentence ends.

PythonexecutionistheprocessoftransformingPythoncodeintoexecutableinstructions.1)Theinterpreterreadsthecode,convertingitintobytecode,whichthePythonVirtualMachine(PVM)executes.2)TheGlobalInterpreterLock(GIL)managesthreadexecution,potentiallylimitingmul

Key features of Python include: 1. The syntax is concise and easy to understand, suitable for beginners; 2. Dynamic type system, improving development speed; 3. Rich standard library, supporting multiple tasks; 4. Strong community and ecosystem, providing extensive support; 5. Interpretation, suitable for scripting and rapid prototyping; 6. Multi-paradigm support, suitable for various programming styles.

Python is an interpreted language, but it also includes the compilation process. 1) Python code is first compiled into bytecode. 2) Bytecode is interpreted and executed by Python virtual machine. 3) This hybrid mechanism makes Python both flexible and efficient, but not as fast as a fully compiled language.

Useaforloopwheniteratingoverasequenceorforaspecificnumberoftimes;useawhileloopwhencontinuinguntilaconditionismet.Forloopsareidealforknownsequences,whilewhileloopssuitsituationswithundeterminediterations.

Pythonloopscanleadtoerrorslikeinfiniteloops,modifyinglistsduringiteration,off-by-oneerrors,zero-indexingissues,andnestedloopinefficiencies.Toavoidthese:1)Use'i


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

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.
