Leetcode with dani
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Join us and let's tackle leet code questions together: improve your problem-solving skills Preparing for coding interviews learning new algorithms and data structures connect with other coding enthusiasts
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Python Tips: Two Confusing methods.
strip() and split() Methods
strip(): This method removes any leading or trailing spaces or specific characters from a string.
text = " Hello, World! "
print(text.strip()) # Output: "Hello, World!"
split(): This method splits a string into a list of substrings based on a specified separator.
data = "apple,banana,cherry"
print(data.split(',')) # Output: ['apple', 'banana', 'cherry']
To see split() in action, check out the [Compare Version Numbers](https://leetcode.com/problems/compare-version-numbers/) problem on LeetCode, where you'll split version strings using a dot (.) as the separator.1 258
any one who wants to sell dogs talks to me https://t.me/askeber i will buy with good price
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🌟 Finding the Majority Element in an Array 🌟
Have you ever wondered how to identify the element that appears more than half the time in an array? 🤔 Let’s dive into a clever algorithm that does just that: The Boyer-Moore Voting Algorithm! 🗳
▎🔍 How It Works:
1. Initialization:
- Start with two variables:
-
candidate = None
- count = 0
2. Candidate Selection:
- Loop through each element in the array:
- If count is 0, set the current element as the new candidate.
- If the current element matches the candidate, increase count.
- If it doesn’t match, decrease count.
3. Verification (Optional):
- After the first pass, you can run through the array again to confirm that your candidate is indeed the majority element!
▎📈 Why Use This Algorithm?
- Time Complexity: \\( O(n) \\) – Efficiently processes the array in linear time!
- Space Complexity: \\( O(1) \\) – Uses only a constant amount of extra space!
▎🚀 Example:
Consider the array: [2, 2, 1, 1, 1, 2, 2].
- The algorithm will help you find that 2 is the majority element! 🎉
This method is not only efficient but also elegant.1 258
Sure! Here's a more engaging and visually appealing version for your Telegram channel:
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🌟 Finding the Majority Element in an Array 🌟
Have you ever wondered how to identify the element that appears more than half the time in an array? 🤔 Let’s dive into a clever algorithm that does just that: The Boyer-Moore Voting Algorithm! 🗳
▎🔍 How It Works:
1. Initialization:
- Start with two variables:
-
candidate = None
- count = 0
2. Candidate Selection:
- Loop through each element in the array:
- If count is 0, set the current element as the new candidate.
- If the current element matches the candidate, increase count.
- If it doesn’t match, decrease count.
3. Verification (Optional):
- After the first pass, you can run through the array again to confirm that your candidate is indeed the majority element!
▎📈 Why Use This Algorithm?
- Time Complexity: \\( O(n) \\) – Efficiently processes the array in linear time!
- Space Complexity: \\( O(1) \\) – Uses only a constant amount of extra space!
▎🚀 Example:
Consider the array: [2, 2, 1, 1, 1, 2, 2].
- The algorithm will help you find that 2 is the majority element! 🎉
This method is not only efficient but also elegant. Give it a try in your next coding challenge! 💻✨
---
Feel free to customize any part to better fit your style or audience!1 258
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Question: Find the majority element in an array, which is defined as the element that appears more than n/2 times. Use an efficient algorithm to solve this in linear time O(n) and constant space O(1).
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Count distinct elements in every window of size k
Given an array of size N and an integer K, return the count of distinct numbers in all windows of size K.
Examples:
Input: arr[] = {1, 2, 1, 3, 4, 2, 3}, K = 4
Output: 3 4 4 3
Explanation:
First window is {1, 2, 1, 3}, count of distinct numbers is 3
Second window is {2, 1, 3, 4} count of distinct numbers is 4
Third window is {1, 3, 4, 2} count of distinct numbers is 4
Fourth window is {3, 4, 2, 3} count of distinct numbers is 3
Input: arr[] = {1, 2, 4, 4}, K = 2
Output: 2 2 1
Explanation:
First window is {1, 2}, count of distinct numbers is 2
First window is {2, 4}, count of distinct numbers is 2
First window is {4, 4}, count of distinct numbers is 1
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Hey everyone! 🌟 We're on the lookout for a admin to help out with our programming channel! If you know at least one programming language and love sharing knowledge, we’d love to have you on board. We’re looking for someone who can post regularly and connect with our awesome community. If you’re interested, drop us a message! 😊
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i could not post in the previous days for some reason, and I apologize for that. I will start posting from now on
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answer:
def max_toys(cost, K):
cost.sort()
count = 0
total_cost = 0
for price in cost:
if total_cost + price <= K:
total_cost += price
count += 1
else:
break
return count
N = 10
K = 50
cost = [1, 12, 5, 111, 200, 1000, 10, 9, 12, 15]
print(max_toys(cost, K)) # Output: 61 258
Maximise the number of toys that can be purchased with amount K
Last Updated : 27 Mar, 2024
Given an array consisting of the cost of toys. Given an integer K depicting the amount of money available to purchase toys. Write a program to find the maximum number of toys one can buy with the amount K.
Note: One can buy only 1 quantity of a particular toy.
Examples:
Input: N = 10, K = 50, cost = { 1, 12, 5, 111, 200, 1000, 10, 9, 12, 15 }
Output: 6
Explanation: Toys with amount 1, 5, 9, 10, 12, and 12 can be purchased resulting in a total amount of 49. Hence, maximum number of toys is 6.
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اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
