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Using Hashtable in Different Programming Languages
Implementing Hashtables in Different Languages
Different programming languages provide built-in implementations of Hashtables.
Language | API (Hashtable Implementation) |
---|---|
Java | java.util.HashMap |
Python | dict |
C++ | std::unordered_map |
JavaScript | Object or Map |
C# | Dictionary<TKey, TValue> |
Go | map |
Code Examples
Python3
Python3
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Limitations of Hashtables
Although Hashtables are incredibly fast and efficient, they come with some drawbacks.
Limitation | Explanation |
---|---|
High Memory Usage | Hashtables require extra memory to store keys, values, and handle collisions. |
No Ordering | Unlike arrays or linked lists, Hashtables do not maintain insertion order. |
Performance Degradation | If too many collisions occur, lookup time can degrade from O(1) to O(n). |
Resizing Cost | When resizing occurs, all elements need to be rehased, causing a temporary slowdown. |
Let's start solving the coding problems on Hashtables.
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