LeetCode 53: Maximum Subarray | Python Solution | Kadane's Algorithm
🔍 Solve the classic maximum subarray problem using #kadanealgorithm in #python. Learn how to find the contiguous subarray with the largest sum in a given array of integers. #dynamicprogramming #arrays
⏱️ **Time Complexity**: O(n)
🧮 **Space Complexity**: O(1)
## Timestamps
00:01 - Understanding problem statement
00:43 - Brute force approach
02:43 - Big O Notation explained
03:20 - Using Kadane's algorithm
05:43 - Kadane's Algorithm - dry run
08:02 - Big O Notation calculated
08:35 - Python code walk-through
09:23 - Solution analysis - runtime + memory
09:31 - Conclusion
## Key Concepts
- Kadane's Algorithm
- Dynamic Programming
- Array Traversal
- Maximum Sum Calculation
- Local vs Global Maximum
## Learning Points
- Understanding how to track running sums efficiently
- Implementing the optimal O(n) solution with constant space
- Handling negative numbers in arrays
- Recognizing when to reset cumulative sums
## Related Problems
- LeetCode 121: Best Time to Buy and Sell Stock
- LeetCode 152: Maximum Product Subarray
- LeetCode 918: Maximum Sum Circular Subarray
- LeetCode 1567: Maximum Length of Subarray With Positive Product
## Target Audience
This video is perfect for software engineers preparing for coding interviews, computer science students learning algorithm fundamentals, and anyone looking to improve their problem-solving skills with arrays and dynamic programming.
## Prerequisites
- Basic understanding of arrays in Python
- Familiarity with loops and conditional statements
- Elementary knowledge of time and space complexity analysis
## Useful Links
📝 Problem: https://leetcode.com/problems/maximum-subarray/
💻 Solution Code: https://leetcode.com/problems/maximum-subarray/solutions/6901369/kadanes-algorithm-solution-in-python-wit-fx9p
☕ Buy Me a Coffee: https://buymeacoffee.com/hgindra
## Additional Tips
- Pay attention to how we handle the case when all numbers are negative
- Notice the elegance of Kadane's algorithm in tracking both current and maximum sum
- Observe how we avoid nested loops to achieve linear time complexity
## Call to Action
If you found this solution helpful, please consider subscribing to my channel for more algorithmic problem-solving videos! Share your questions or alternative approaches in the comments below. What other LeetCode problems would you like me to cover next? #codinginterview #leetcode #algorithmstudy
Видео LeetCode 53: Maximum Subarray | Python Solution | Kadane's Algorithm канала Code Scribbler
⏱️ **Time Complexity**: O(n)
🧮 **Space Complexity**: O(1)
## Timestamps
00:01 - Understanding problem statement
00:43 - Brute force approach
02:43 - Big O Notation explained
03:20 - Using Kadane's algorithm
05:43 - Kadane's Algorithm - dry run
08:02 - Big O Notation calculated
08:35 - Python code walk-through
09:23 - Solution analysis - runtime + memory
09:31 - Conclusion
## Key Concepts
- Kadane's Algorithm
- Dynamic Programming
- Array Traversal
- Maximum Sum Calculation
- Local vs Global Maximum
## Learning Points
- Understanding how to track running sums efficiently
- Implementing the optimal O(n) solution with constant space
- Handling negative numbers in arrays
- Recognizing when to reset cumulative sums
## Related Problems
- LeetCode 121: Best Time to Buy and Sell Stock
- LeetCode 152: Maximum Product Subarray
- LeetCode 918: Maximum Sum Circular Subarray
- LeetCode 1567: Maximum Length of Subarray With Positive Product
## Target Audience
This video is perfect for software engineers preparing for coding interviews, computer science students learning algorithm fundamentals, and anyone looking to improve their problem-solving skills with arrays and dynamic programming.
## Prerequisites
- Basic understanding of arrays in Python
- Familiarity with loops and conditional statements
- Elementary knowledge of time and space complexity analysis
## Useful Links
📝 Problem: https://leetcode.com/problems/maximum-subarray/
💻 Solution Code: https://leetcode.com/problems/maximum-subarray/solutions/6901369/kadanes-algorithm-solution-in-python-wit-fx9p
☕ Buy Me a Coffee: https://buymeacoffee.com/hgindra
## Additional Tips
- Pay attention to how we handle the case when all numbers are negative
- Notice the elegance of Kadane's algorithm in tracking both current and maximum sum
- Observe how we avoid nested loops to achieve linear time complexity
## Call to Action
If you found this solution helpful, please consider subscribing to my channel for more algorithmic problem-solving videos! Share your questions or alternative approaches in the comments below. What other LeetCode problems would you like me to cover next? #codinginterview #leetcode #algorithmstudy
Видео LeetCode 53: Maximum Subarray | Python Solution | Kadane's Algorithm канала Code Scribbler
leetcode 53 maximum subarray kadane algorithm python solution dynamic programming array algorithms coding interview leetcode python maximum sum subarray algorithm tutorial time complexity space complexity interview preparation array problem solving contiguous subarray coding challenge leetcode easy competitive programming algorithmic problem solving data structures
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8 июля 2025 г. 12:00:03
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