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Today, weβre going to talk about while loops! Who remembers when we might use a while loop instead of a for loop?
When we donβt know how many times we need to loop?
Exactly! While loops are great when the number of iterations is uncertain. They repeat until a specified condition becomes false. Now, can someone tell me how can we find a value in a list using a while loop?
We can check each element until we find the value or reach the end of the list?
Right! Weβll set an index to 0 and keep incrementing it until the value is found or we exceed the list length. Just remember, keep an eye on our condition to avoid going out of bounds.
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Letβs implement a function called `findpos` to locate the first occurrence of value `v` in the list `l`. Any ideas on how we can start that?
We need to loop through the list and check for equality with `v`!
Yes! Weβll initialize a boolean flag to indicate if we found the value and an index starting at 0. If we find `v`, weβll update our position and break out of the loop.
But what if the value isnβt there? What should we return?
Good question! If `v` isn't found after checking the entire list, we should return -1. This method helps us avoid scanning all items unnecessarily if we can find `v` quickly.
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Now, let's talk about efficiency using the `break` statement. Why do you think it's critical to use `break` in our `findpos` function?
To exit the loop as soon as we find the value and not go through the rest of the list?
Exactly! This helps us save time and computational resources. We want our code to run more efficiently.
So, if we find the value at index 2, we stop checking the rest?
Right again! Itβs important not to check unnecessary positions after finding what we need. Now, what about handling the case where we go through the entire list without finding the value?
We return -1 to indicate it wasn't found!
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Letβs discuss an interesting feature of Pythonβusing an else clause with loops. When do you think the else executes after a loop?
It executes if the loop ends without hitting a break statement, right?
Correct! This can help us differentiate between a normal completion of the loop and an early exit. We can assign our found position only if the loop ended naturally.
So, if we find the value, we break, and if we reach the end, then we handle that with the else?
Yes! This technique can make our code cleaner and easier to understand.
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The section introduces the use of while loops for searching the first occurrence of a value in a list, explaining how to implement this with conditions to prevent unnecessary iterations and using indices correctly. It also highlights the break statement's role in optimizing the search process.
In this section, we focus on finding the first position of a given value v
in a list l
using a while loop. While loops are particularly useful when the number of iterations isn't predetermined. The section covers the shortcomings of the index function and how we can refine our approach by implementing a while loop that tracks both the current position within the list and a boolean flag indicating if the value has been found.
for
loop combined with a break statement and the else
clause to handle normal termination case effectively, leading to clearer and more concise code.Dive deep into the subject with an immersive audiobook experience.
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Let us revisit Loops. So, we saw that we have two types of loops in Python. The first is a 'for loop' where the value ranges over a list in general or say the output of the range sequence; so for i in l will repeat the body for each item in the list l. Sometimes we do not know how many times we need to repeat in advance, so then we use the while forms. While takes a condition and it keeps repeating the body until the condition becomes false.
In programming, loops are essential for executing a piece of code multiple times. Python provides two primary types of loops: 'for' loops and 'while' loops. A 'for loop' iterates over a sequence (like a list), executing the inner code block for each item. In contrast, a 'while loop' continues as long as a specified condition is true, making it useful when the number of iterations isn't known ahead of time.
Think of a 'for loop' as a conveyor belt that processes items in a factory; it works through each item one by one. A 'while loop,' however, is like a worker who keeps gathering items until they reach a certain goal, such as filling a box without knowing how many items they will need.
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Suppose, we want to write a function findpos which finds the first position of a value v in the list l. We had seen that there is a built-in function called index which pretty much does this... Here is a while loop implementation. We use a name found as the name suggests to indicate whether the value has been found or not. Initially, we have not seen any values in l, so v is, the found = false...
To find the position of a specific value in a list, we can create a function called findpos
. Although Python has a built-in method called index
, it raises an error if the value is not present. Thus, we modify the approach: if the value is found, we store its position; if not, we return -1. We achieve this using a while loop
and a boolean variable to track if we found the value. The loop increments an index until it reaches the end of the list or finds the value.
Imagine searching for a book on a shelf. You start at the first book (position 0) and examine each one. If you find the book, you note its position; if you reach the end without finding it, you leave the shelf with a list of books you couldn't locate, which we represent as -1.
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There are two points to observe about this; the first point which is the main issue at hand is that we are going to necessarily go through every position i from 0 to the length of l minus 1 regardless of where we find it... Now the issue is why we have to wastefully go through the entire list even though after we find the very first position of v in l we can safely return and report that position.
A major concern with the initial while loop implementation is efficiency. It checks through every index even if the value is located at an earlier position. This can be particularly wasteful in long lists. Additionally, we must ensure that we are recording the first occurrence of the value correctly by updating our position variable only if it's the first time we've found the value.
This can be likened to looking for a specific street address in a city. If you find the address on the second street, you wouldn't keep driving through all the remaining blocks. Instead, you'd immediately record it and stop. Looping through all streets even after finding the address is inefficient.
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So, a more natural strategy suggests the following; we scan the list and we stop the scan as soon as we find the value... of course, the scan may not find the value, so if the scan completes without succeeding then we will report minus 1.
To enhance our search, we can use a break statement inside the loop. When we find the value, we immediately exit the loop, avoiding unnecessary checks. This leads to improved performance and a quicker finding time. If the loop ends without finding the value, we return -1 as before.
Imagine searching for an item in a store. As soon as you find the item on the shelf, you leave the aisle instead of checking each additional shelf. This saves time and effort, similar to how a break statement makes our program more efficient.
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Python is one of the few languages which actually provide a way to do this... Here, for instance, now we do not initialize. We no longer have this clever trick, we do not have this anymore. So what we say is that for i this range we check and if it is there we set the position to be the current i and then we break.
In Python, you can also use an 'else' statement with loops. The code inside the else block executes only if the loop completes without hitting a 'break'. This allows for clearer code structure since we can separate the logic for when an item was found versus when it wasn't.
Think of a treasure hunt: if you find the treasure, you immediately stop. If you finish the hunt with no treasure, you report back to your team that the treasure was not found. The 'else' helps clarify these two outcomes.
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Key Concepts
While Loops: Used for repeating a block of code until a condition is false.
Break Statement: Used to exit a loop immediately when a condition is met, optimizing performance.
Index Tracking: Important for locating the position of values within a list.
Else Clause: Enhances clarity by allowing code execution after a loop completes without breaks.
See how the concepts apply in real-world scenarios to understand their practical implications.
Example of a while loop to find a value in a list:
def findpos(l, v):
i = 0
pos = -1
while i < len(l):
if l[i] == v:
pos = i
break
i += 1
return pos
Demonstrating the use of an else clause in a loop:
for i in range(len(l)):
if l[i] == v:
print(i)
break
else:
print('-1')
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
While checks the rule, to find our value coolβbreak when it's found, that's the looping tool!
Imagine a treasure hunt where you explore each spot in turn; if you find the treasure, just shout, 'Break! I'm done!' and leave the old map behind.
Use 'Check, Break, Return' as a routine for the while loop find process: Check each position, Break if found, and Return the index.
Review key concepts with flashcards.
Review the Definitions for terms.
Term: while loop
Definition:
A control flow statement that allows code to be executed repeatedly based on a given condition.
Term: break statement
Definition:
A statement used to exit a loop prematurely when a specified condition is met.
Term: index
Definition:
A numerical representation that specifies the position of an element in a list.
Term: else clause
Definition:
A block of code that executes if the loop terminates normally, without hitting a break.
Term: found flag
Definition:
A boolean indicator that tracks whether the desired value has been located in the search process.