Скачать или смотреть Implement LRU Cache (using OrderedDict)

Learn how to implement an LRU (Least Recently Used) Cache in Python using the powerful OrderedDict from the collections module! 🐍

In this video, you'll:
✅ Understand the concept of LRU caching
✅ Implement the cache using Python's built-in data structures
✅ Learn how OrderedDict helps maintain order for LRU logic
✅ Prepare for Python coding interviews with this key question

🔧 Code Used in This Video:
from collections import OrderedDict

class LRUCache:
def __init__(self, capacity: int):
self.cache = OrderedDict()
self.capacity = capacity

def get(self, key: int) - int:
if key not in self.cache:
return -1
self.cache.move_to_end(key)
return self.cache[key]

def put(self, key: int, value: int) - None:
if key in self.cache:
self.cache.move_to_end(key)
self.cache[key] = value
if len(self.cache) self.capacity:
self.cache.popitem(last=False)
📚 Perfect for software engineers, Python learners, and anyone preparing for coding interviews!

🔔 Don't forget to like, subscribe, and hit the bell icon for more Python tutorials and coding tricks!

#Python #LRUCache #CodingInterview
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