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Master LRU Cache with C++ | Efficient Coding with STL Library - 146. LRU Cache
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Welcome back to our channel! Today, we're venturing into the world of C++ with an engaging tutorial on how to implement an efficient Least Recently Used (LRU) cache system. This is a fantastic exercise for those who want to deepen their understanding of C++ and its rich Standard Template Library (STL).
0:00 - Introduction
1:25 - Implementation
5:30 - Testing
In this 10-minute coding adventure, we'll unravel how to leverage STL's list and unordered_map to design our LRU Cache. We’ll be exploring the powerful splice function, understand how to keep track of keys and manage memory effectively, all while ensuring that we adhere to the complexity requirement of O(1) for get() and put() operations. It's all about efficiency and speed!
Whether you're preparing for a coding interview or just looking to enhance your C++ skills, this video is the perfect resource for you. Don't forget to hit the like button if you find the video helpful and subscribe for more coding content like this every week. Let’s dive into the world of C++ together!
0:00 - Introduction
1:25 - Implementation
5:30 - Testing
In this 10-minute coding adventure, we'll unravel how to leverage STL's list and unordered_map to design our LRU Cache. We’ll be exploring the powerful splice function, understand how to keep track of keys and manage memory effectively, all while ensuring that we adhere to the complexity requirement of O(1) for get() and put() operations. It's all about efficiency and speed!
Whether you're preparing for a coding interview or just looking to enhance your C++ skills, this video is the perfect resource for you. Don't forget to hit the like button if you find the video helpful and subscribe for more coding content like this every week. Let’s dive into the world of C++ together!
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