learn python 6 loops how to repeat code execution

Publié le: 08 janvier 2025
sur la chaîne: CodeTime
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certainly! in python, loops are structures that allow you to execute a block of code multiple times. there are two primary types of loops in python: *for loops* and **while loops**. here, we'll cover both types of loops in detail, including code examples to illustrate how to use them effectively.

1. for loops

a `for` loop is used to iterate over a sequence (such as a list, tuple, dictionary, set, or string) or other iterable objects. the loop executes a block of code for each item in the sequence.

syntax:


example:


*output:*


2. while loops

a `while` loop repeatedly executes a block of code as long as a specified condition is true. it is useful when the number of iterations is not known beforehand.

syntax:


example:


*output:*


3. loop control statements

python provides two special statements that control the flow of loops:

`break`: terminates the loop prematurely.
`continue`: skips the current iteration and moves to the next iteration.

example of break:


*output:*


example of continue:


*output:*


4. nested loops

you can use loops inside other loops. this is called a nested loop. the inner loop runs for each iteration of the outer loop.

example:


*output:*


5. looping through dictionaries

you can also loop through dictionaries in python, which allows you to access keys and values.

example:


*output:*


conclusion

loops in python are powerful constructs that allow you to automate repetitive tasks. by using `for` loops, `while` loops, and understanding control statements like `break` and `continue`, you can create efficient and effective programs.

remember to choose the loop type based on your specific needs:
use `for` loops when you know the number of iterations or are iterating over a collection.
use `while` loops when the number of iterations is not predetermined, and you rely on a condition to continue looping.

feel free to experiment with these examples and try creating your own loops to reinforce ...

#LearnPython #PythonLoops #numpy
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