What is the time complexity of common Python operations?
An example of an AI chatbot conversation about time complexity of Python operations.
What is the time complexity of list operations in Python?
The time complexity of common list operations in Python is as follows:
- Access: O(1)
- Append: O(1)
- Insert: O(n)
- Delete: O(n)
- Search: O(n) for unsorted lists.
How about dictionaries? What is their time complexity?
Dictionaries in Python have the following time complexities:
- Access: O(1)
- Insert: O(1)
- Delete: O(1)
- Search: O(1) on average, but O(n) in the worst case due to hash collisions.
What about sets? Are they similar to dictionaries?
Yes, sets in Python are similar to dictionaries in terms of time complexity:
- Access: O(1)
- Insert: O(1)
- Delete: O(1)
- Search: O(1) on average.
Can you explain the time complexity of sorting algorithms in Python?
Sure! The built-in sort function in Python uses Timsort, which has a time complexity of O(n log n) for average and worst cases.
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