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Topics

Python Basics

Introduction to Python Installing Python Python Syntax Python Comments Python Variables Python Data Types Python Type Conversion Python Operators Python Input/Output Python Indentation

Control Structures

Python If...Else Python While Loops Python For Loops Python Break and Continue Python Pass Statement Python Match-Case Statements

Python Data Structures

Python Lists Python Tuples Python Sets Python Dictionaries Python Arrays Python List Comprehension

Python Functions

Defining Python Functions Python Function Arguments Python Function Return Values Python Lambda Functions Python Recursive Functions Python Global and Local Variables

Python OOP

Python Classes and Objects Python Inheritance Python Encapsulation Python Polymorphism Python Method Overriding Python Abstract Classes

Python Modules and Packages

Creating Python Modules Importing Python Modules Python Built-in Modules Python Package Management (pip)Creating Python Packages

Python File Handling

Python File Open/Close Python File Read Python File Write Python File Management Python Directory Handling

Python Exception Handling

Python Try...Except Python User-defined Exceptions Python Raise Keyword Python Finally Clause

Python Advanced Topics

Python Iterators Python Generators Python Decorators Python Context Managers Python Regular Expressions Python Multithreading Python Multiprocessing

Python Standard Library

Python Math Module Python Random Module Python DateTime Module Python JSON Module Python OS Module Python Sys Module

Python Data Manipulation

Python String Manipulation Python List Operations Python Dictionary Operations Python Set Operations

Python Testing

Python Unit Testing Python Doctest Python Pytest Python Test-Driven Development

Python Performance

Python Code Optimization Python Profiling Python Memory Management Python Caching Techniques

Python and Databases

Python SQLite Python MySQL Connector Python PostgreSQL Python MongoDB

Python Web Scraping

Python Requests Library Python BeautifulSoup Python Scrapy Basics

Python and APIs

Python REST API Basics Python API Authentication Python API Data Handling

Python For Loops

For loops are a fundamental concept in Python programming. They provide a powerful way to iterate over sequences and execute a block of code repeatedly.

Basic Syntax

The basic syntax of a Python for loop is:


for item in sequence:
    # Code block to be executed

Purpose and Usage

For loops are used to:

Iterate over sequences like lists, tuples, or strings
Perform operations on each item in a collection
Execute a block of code a specific number of times

Examples

1. Iterating over a list


fruits = ["apple", "banana", "cherry"]
for fruit in fruits:
    print(fruit)

This loop will print each fruit in the list on a new line.

2. Using range() function


for i in range(5):
    print(i)

This loop will print numbers from 0 to 4.

Advanced Features

Python's for loops offer additional features:

enumerate(): Get both index and value in each iteration
zip(): Iterate over multiple sequences simultaneously
else clause: Execute code when the loop completes normally

Best Practices

Use meaningful variable names for loop iterators
Avoid modifying the sequence you're iterating over
Consider using List Comprehension for simple loops
Use break and continue statements to control loop flow when necessary

Related Concepts

To further enhance your understanding of Python loops, explore these related topics:

Mastering for loops is crucial for efficient Python programming. They provide a versatile tool for handling repetitive tasks and processing data collections.