Скачать или смотреть Randomized Collection: Insert, Delete, Get Random in O(1) Time! | AI Codecast Audio Podcast

🎧 Learn how to design a data structure that can insert, delete, and get a random element in constant O(1) time! Perfect for listening on your commute or while coding. We'll break down this classic problem from the AI Codecast, using a combination of a list and a hash map.

🤯 We dive deep into:
Why a simple list isn't enough for O(1) operations
Combining a list and a hash map for efficiency
The "swap and pop" method for fast deletion
The importance of hashmap performance
Selecting the right set for your data

⏱️ Time complexity: O(1) for all main operations
🧠 Space complexity: O(n)
💡 Real-world applications: Game development, event management, and more!

🚀 Ready to master this fundamental concept? Tune in now!

🔗 Connect with Us:
Twitter: @AICodeCast

#CodingInterview #DataStructures #Algorithms #PythonProgramming #SoftwareEngineering #TechInterview #Podcast #Audio #Coding

🔗 LeetCode Link: https://leetcode.com/problems/insert-delet...

⏰ Timeline:

00:00 - Introduction to Randomized Collections
00:17 - Defining the Problem: Efficiency is Key
01:03 - Simple Solutions and Their Limitations
02:15 - The Power Combo: List and Hash Map
03:21 - Insertion: A Smooth Process
04:13 - The Challenge of Removal and a Cliffhanger
04:31 - The Swap and Pop Technique: Removing Efficiently
05:26 - How Swap and Pop Works
06:26 - Updating the Hash Map and Maintaining Efficiency
07:24 - Getting a Random Element and Memory Usage
08:16 - Potential Traps: Hash Map Collisions and Set Types
08:58 - Deep Dive into Hash Map Collisions
10:18 - The Impact of Set Types on Performance
11:37 - Real-World Applications: Online Gaming Example
12:43 - Key Takeaways and Experimentation
13:35 - Conclusion and Encouragement