Strings: The Storytellers of Python
Welcome back, young Python adventurers! Today, we unleash the power of strings, the storytellers of the coding world. They hold words, sentences, and even entire narratives, waiting to be crafted into your programs. Buckle up, because we're about to dive into their fascinating world!
Imagine strings as magic boxes brimming with characters: letters, numbers, symbols, even spaces! Anything enclosed in quotes, like "Hello, world!" or 'My name is Addis,' becomes a powerful string. You can use single or double quotes, whichever tickles your coding fancy.
But what can these strings do? Oh, their powers are endless! Let's see some tricks:
1. Case Chameleon:
.upper(): Unleash your inner superhero and make every letter uppercase. Watch "python" transform into "PYTHON"!
.lower(): Shhh, whisper like a secret agent with lowercase letters. Turn "HELLO" into a stealthy "hello."
.noscript(): Feel like writing a fancy story? Use .noscript() to capitalize the first letter of each word and make your sentences shine. "my favorite food is..." becomes "My Favorite Food Is..."
2. Master of Disguise:
F-strings: These are powerful spells that let you weave variables into your strings. Imagine having a variable called friend_name with the value "Meklit." You can write f"Hey, {friend_name}!" and see "Hey, Meklit!" appear on the screen like magic.
3. Combining Forces:
Strings are like friendly neighbors who love playing together. You can join them with a simple + sign. Watch "My" and "computer" become "My computer" with just one +.
Welcome back, young Python adventurers! Today, we unleash the power of strings, the storytellers of the coding world. They hold words, sentences, and even entire narratives, waiting to be crafted into your programs. Buckle up, because we're about to dive into their fascinating world!
Imagine strings as magic boxes brimming with characters: letters, numbers, symbols, even spaces! Anything enclosed in quotes, like "Hello, world!" or 'My name is Addis,' becomes a powerful string. You can use single or double quotes, whichever tickles your coding fancy.
But what can these strings do? Oh, their powers are endless! Let's see some tricks:
1. Case Chameleon:
.upper(): Unleash your inner superhero and make every letter uppercase. Watch "python" transform into "PYTHON"!
.lower(): Shhh, whisper like a secret agent with lowercase letters. Turn "HELLO" into a stealthy "hello."
.noscript(): Feel like writing a fancy story? Use .noscript() to capitalize the first letter of each word and make your sentences shine. "my favorite food is..." becomes "My Favorite Food Is..."
2. Master of Disguise:
F-strings: These are powerful spells that let you weave variables into your strings. Imagine having a variable called friend_name with the value "Meklit." You can write f"Hey, {friend_name}!" and see "Hey, Meklit!" appear on the screen like magic.
3. Combining Forces:
Strings are like friendly neighbors who love playing together. You can join them with a simple + sign. Watch "My" and "computer" become "My computer" with just one +.
Examples
Print "hello world!" in uppercase: "hello world!".upper() will output "HELLO WORLD!"
Print "MY COMPUTER IS AWESOME" in lowercase: "MY COMPUTER IS AWESOME".lower() will output "my computer is awesome"
Use .noscript() to write a sentence: "my favorite language is python" becomes "My Favorite Language Is Python"
Print "hello world!" in uppercase: "hello world!".upper() will output "HELLO WORLD!"
Print "MY COMPUTER IS AWESOME" in lowercase: "MY COMPUTER IS AWESOME".lower() will output "my computer is awesome"
Use .noscript() to write a sentence: "my favorite language is python" becomes "My Favorite Language Is Python"
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Hey Python coders!
We apologize for the radio silence for the past few months. Life got a bit busy with.
But the good news is, we're BACK and itching to get coding with you again! We've got some awesome Python content planned, so stay tuned!
What coding challenges are you facing right now? Hit the comments and let us know!
We apologize for the radio silence for the past few months. Life got a bit busy with.
But the good news is, we're BACK and itching to get coding with you again! We've got some awesome Python content planned, so stay tuned!
What coding challenges are you facing right now? Hit the comments and let us know!
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#binary_search Given a sorted array of integers (ascending order) and a target value, write a function to find the target's index in the array. If the target isn't found, return -1.
Constraints:
Use an algorithm with O(log n) time complexity.
Example:
Input: nums = [-1,0,3,5,9,12], target = 9
Output: 4
Can you solve it efficiently?
Constraints:
Use an algorithm with O(log n) time complexity.
Example:
Input: nums = [-1,0,3,5,9,12], target = 9
Output: 4
Can you solve it efficiently?
👍1
def binary_search(nums, target):
"""
Performs a binary search on a sorted array to find the index of a target value.
Args:
nums: A sorted list of integers (ascending order).
target: The integer value to search for.
Returns:
The index of the target in the list if found, otherwise -1.
"""
left, right = 0, len(nums) - 1
while left <= right:
# Find the middle index
middle = (left + right) // 2
# Check if the target is at the middle index
if nums[middle] == target:
return middle
# If the target is less than the middle element, search the left half
elif nums[middle] > target:
right = middle - 1
# If the target is greater than the middle element, search the right half
else:
left = middle + 1
# If the loop exits without finding the target, return -1
return -1
# Example usage
nums = [-1, 0, 3, 5, 9, 12]
target = 9
result = binary_search(nums, target)
if result != -1:
print(f"Target {target} found at index {result}")
else:
print(f"Target {target} not found in the list")
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1The function binary_search takes a sorted array nums and a target value target as input.
2. It initializes two variables, left and right, which represent the left and right ends of the search interval, respectively. Initially, left is set to 0 and right is set to the length of the array minus 1.
3.The function enters a while loop that continues as long as left is less than or equal to right. This means that the search interval is still valid.
4.Inside the loop, the function calculates the middle index of the search interval using the formula middle = (left + right) // 2.
5.The function then checks if the target value is at the middle index of the array (nums[middle] == target).
6.If the target is found at the middle index, the function returns the middle index.
7.If the target is less than the value at the middle index (nums[middle] > target), it means that the target must be in the left half of the array. So the function updates the right pointer to middle - 1 to exclude the right half from the search interval.
8.If the target is greater than the value at the middle index (nums[middle] < target), it means that the target must be in the right half of the array. So the function updates the left pointer to middle + 1 to exclude the left half from the search interval.
If the loop exits without finding the target, it means that the target is not present in the array. The function returns -1 in this case.
2. It initializes two variables, left and right, which represent the left and right ends of the search interval, respectively. Initially, left is set to 0 and right is set to the length of the array minus 1.
3.The function enters a while loop that continues as long as left is less than or equal to right. This means that the search interval is still valid.
4.Inside the loop, the function calculates the middle index of the search interval using the formula middle = (left + right) // 2.
5.The function then checks if the target value is at the middle index of the array (nums[middle] == target).
6.If the target is found at the middle index, the function returns the middle index.
7.If the target is less than the value at the middle index (nums[middle] > target), it means that the target must be in the left half of the array. So the function updates the right pointer to middle - 1 to exclude the right half from the search interval.
8.If the target is greater than the value at the middle index (nums[middle] < target), it means that the target must be in the right half of the array. So the function updates the left pointer to middle + 1 to exclude the left half from the search interval.
If the loop exits without finding the target, it means that the target is not present in the array. The function returns -1 in this case.
Question 2 on #binary_search Binary Search: Treasure Hunt!
Imagine searching for buried treasure on a coastline. You have distances to the treasure from various points (sorted from smallest to biggest).
Binary search helps find the closest distance to the treasure from your ship's location. It works by repeatedly guessing the middle distance and checking if it's the treasure or closer than your acceptable range (tolerance).
It's super fast for sorted lists (like your treasure distances).
Think of eliminating half the coastline on each guess!
Example:
Ship at distance 50 meters. Tolerance 10 meters.
Distances: [10, 20, 40, 60, 80]
Binary search would check:
Middle distance (40 meters) - too far, but closer than 60 meters!
Left half (now 10, 20, 40) - Bingo! 40 meters is closest within tolerance.
Imagine searching for buried treasure on a coastline. You have distances to the treasure from various points (sorted from smallest to biggest).
Binary search helps find the closest distance to the treasure from your ship's location. It works by repeatedly guessing the middle distance and checking if it's the treasure or closer than your acceptable range (tolerance).
It's super fast for sorted lists (like your treasure distances).
Think of eliminating half the coastline on each guess!
Example:
Ship at distance 50 meters. Tolerance 10 meters.
Distances: [10, 20, 40, 60, 80]
Binary search would check:
Middle distance (40 meters) - too far, but closer than 60 meters!
Left half (now 10, 20, 40) - Bingo! 40 meters is closest within tolerance.
What is the output of the following code?
```
number = 5 number = number * 2 print(number)```
```
number = 5 number = number * 2 print(number)```
Anonymous Quiz
6%
A) 5
62%
B) 10
28%
C) An error
4%
D)2
What does the following code snippet do?
Python
my_list = [1, 2, 3, 4] print(my_list[1])
Python
my_list = [1, 2, 3, 4] print(my_list[1])
Anonymous Quiz
27%
1
66%
2
2%
3
5%
4
Forwarded from Leetcode with dani
6. What is the output of the following code?
X = 3 y = 5 z = x if x < y: print(z)
X = 3 y = 5 z = x if x < y: print(z)
Anonymous Quiz
75%
A. 3
5%
B. 5
19%
C. x
1%
D. y
Forwarded from Leetcode with dani
4. Which of the following is NOT a valid data type in Python?
Anonymous Quiz
6%
int
4%
float
75%
variable
15%
boolean
Forwarded from Dani
in programming counting (indexing) starts from zero so 1 indicates the second element in the list
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Want to test your Python skills? Look no further! All the practice questions for beginners are pinned in the first message of this channel.
Feel free to answer the questions at your own pace and refer back to them whenever you need a refresher. If you have any questions or need help with a specific concept, don't hesitate to ask in the chat!
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