Backend Development
Python Tutorial
Python introductory loop: for loop and else usage, with detailed examples included
Python introductory loop: for loop and else usage, with detailed examples included
This chapter will introduce you to the use of Python loop statements. Loop statements in Python include for and while. The main content of this article is the for loop statement in python language, and the else loop mentioned will be listed separately for explanation.
Brief comment:
Loop statements are an integral part of any programming language. Similarly, for loop is an important part of Python
The following is the structure diagram of the for loop statement:
First of all, we can loop like this
fruits = ['apple', 'banana', 'mango']
for fruit in fruits:
print(fruit.capitalize())This is the basic structure of the for loop, now let us continue to discuss a little-known for loop in python Well-known properties - else clause.
The for loop also has an else clause that most people are not familiar with. This else clause is executed when the loop completes normally, meaning that the loop does not encounter any break statements. They are very useful when you understand where to use them.
A common situation is to run a loop and search for an item, and if the item is found, we use break to get out of the loop. There are two situations that may cause the loop to end. The first one is to find the item and break , the second case is the natural end of the loop. Now we might want to know which of these is the reason for the loop to complete, one way is to set a flag and then check it when the loop ends, another is to use the else clause.
The following is the basic structure of a for/else loop:
for item in container:
if search_something(item):
# Found it!
process(item)
breakelse:
# Didn't find anything..
not_found_in_container()The following example comes from the official documentation
for n in range(2, 10):
for x in range(2, n):
if n % x == 0:
print(n, 'equals', x, '*', n/x)
breakIt finds factors between 2 and 10. Now for the fun part, we can add an extra else clause block to capture prime numbers and print them:
for n in range(2, 10):
for x in range(2, n):
if n % x == 0:
print( n, 'equals', x, '*', n/x)
break
else:
# loop fell through without finding a factor
print(n, 'is a prime number')Extracurricular extension:
Python while loop statement explanation and synchronous parsing ( Code example)
The above is the detailed content of Python introductory loop: for loop and else usage, with detailed examples included. 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
1675
14
1429
52
1333
25
1278
29
1257
24
Python vs. C : Learning Curves and Ease of Use
Apr 19, 2025 am 12:20 AM
Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.
Learning Python: Is 2 Hours of Daily Study Sufficient?
Apr 18, 2025 am 12:22 AM
Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.
Python vs. C : Exploring Performance and Efficiency
Apr 18, 2025 am 12:20 AM
Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.
Python vs. C : Understanding the Key Differences
Apr 21, 2025 am 12:18 AM
Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.
Which is part of the Python standard library: lists or arrays?
Apr 27, 2025 am 12:03 AM
Pythonlistsarepartofthestandardlibrary,whilearraysarenot.Listsarebuilt-in,versatile,andusedforstoringcollections,whereasarraysareprovidedbythearraymoduleandlesscommonlyusedduetolimitedfunctionality.
Python: Automation, Scripting, and Task Management
Apr 16, 2025 am 12:14 AM
Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.
Python for Scientific Computing: A Detailed Look
Apr 19, 2025 am 12:15 AM
Python's applications in scientific computing include data analysis, machine learning, numerical simulation and visualization. 1.Numpy provides efficient multi-dimensional arrays and mathematical functions. 2. SciPy extends Numpy functionality and provides optimization and linear algebra tools. 3. Pandas is used for data processing and analysis. 4.Matplotlib is used to generate various graphs and visual results.
Python for Web Development: Key Applications
Apr 18, 2025 am 12:20 AM
Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code
