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LeetCode 238: Product of Array Except Self | 3 Approaches Explained | Python | Coding Interview Prep
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Hey Hack Code Family! 👋
In this video, we’re diving deep into one of the most common coding interview questions: Product of Array Except Self (LeetCode). This problem tests your understanding of array manipulation, prefix products, and optimal space usage – all without using division! 🚀
🔍 What you’ll learn:
🔥 Three different approaches to solve the problem:
🧠 Brute Force: Calculating all products except the current element (basic method).
💡 Left and Right Product Arrays: Precomputing left and right products and combining them for the result.
⚡ Optimized Approach: Reducing space complexity by using a single array and incorporating the right product during a backward pass.
✨ Key concepts of Time Complexity and Space Complexity for each solution, with step-by-step code walkthroughs and explanations.
🎯 Complexities Covered:
⏳ Time Complexity: O(N) for optimized solutions.
🗃️ Space Complexity: O(1) for the most efficient method.
Why is this important?
Mastering the Product of Array Except Self problem is crucial for coding interviews, especially in top tech companies. Understanding multiple solutions helps you tackle various coding challenges with confidence.
💡 Watch until the end for a code demo, and be sure to like, subscribe, and comment if you found this helpful! Let’s sharpen your coding skills and get ready to ace those interviews together! 💻🚀
TimeStamps:
0:00 Welcome!
0:08 Problem Statement
3:32 About Blind75!
4:01 Approach 1: Brute Force
7:58 Approach 2: Using Left and Right Products
15:54 Approach 3: Optimized Space Complexity
20:21 Outro
#codinginterviews #productofarrayexceptself #leetcode #leetcodepython #dsa #arrays #coding #pythoncoding #codingproblems #datastructures #codinginterviewprep #productarray #programmingtutorial #pythonbeginners #pythonprogramming #interviewquestions #topinterviewquestions #codingexplanation #techinterview #interviewready #codingwalkthrough #learntocode #hackcode #blind75 #codingpatterns #pythoncode #pythonlearning #computerscience #codinglife #codinginterviewtips
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In this video, we’re diving deep into one of the most common coding interview questions: Product of Array Except Self (LeetCode). This problem tests your understanding of array manipulation, prefix products, and optimal space usage – all without using division! 🚀
🔍 What you’ll learn:
🔥 Three different approaches to solve the problem:
🧠 Brute Force: Calculating all products except the current element (basic method).
💡 Left and Right Product Arrays: Precomputing left and right products and combining them for the result.
⚡ Optimized Approach: Reducing space complexity by using a single array and incorporating the right product during a backward pass.
✨ Key concepts of Time Complexity and Space Complexity for each solution, with step-by-step code walkthroughs and explanations.
🎯 Complexities Covered:
⏳ Time Complexity: O(N) for optimized solutions.
🗃️ Space Complexity: O(1) for the most efficient method.
Why is this important?
Mastering the Product of Array Except Self problem is crucial for coding interviews, especially in top tech companies. Understanding multiple solutions helps you tackle various coding challenges with confidence.
💡 Watch until the end for a code demo, and be sure to like, subscribe, and comment if you found this helpful! Let’s sharpen your coding skills and get ready to ace those interviews together! 💻🚀
TimeStamps:
0:00 Welcome!
0:08 Problem Statement
3:32 About Blind75!
4:01 Approach 1: Brute Force
7:58 Approach 2: Using Left and Right Products
15:54 Approach 3: Optimized Space Complexity
20:21 Outro
#codinginterviews #productofarrayexceptself #leetcode #leetcodepython #dsa #arrays #coding #pythoncoding #codingproblems #datastructures #codinginterviewprep #productarray #programmingtutorial #pythonbeginners #pythonprogramming #interviewquestions #topinterviewquestions #codingexplanation #techinterview #interviewready #codingwalkthrough #learntocode #hackcode #blind75 #codingpatterns #pythoncode #pythonlearning #computerscience #codinglife #codinginterviewtips
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