What is the true difference between a dictionary and a hash table?

A dictionary is a general concept that maps keys to values. There are many ways to implement such a mapping. A hashtable is a specific way to implement a dictionary. Besides hashtables, another common way to implement dictionaries is red-black trees. Each method has its own pros and cons. A red-black tree can always perform … Read more

How do you implement GetHashCode for structure with two string, when both strings are interchangeable

MSDN: A hash function must have the following properties: If two objects compare as equal, the GetHashCode method for each object must return the same value. However, if two objects do not compare as equal, the GetHashCode methods for the two object do not have to return different values. The GetHashCode method for an object … Read more

Improving performance of very large dictionary in Python

If I know the number of keys and exactly what are those keys, is there any way in python to make a dict (or a hashtable) work more efficiently? I vaguely remember that if you know the keys, you can design the hash function smartly (perfect hash?) and allocate the space beforehand. Python doesn’t expose … Read more

Binary Trees vs. Linked Lists vs. Hash Tables

The standard trade offs between these data structures apply. Binary Trees medium complexity to implement (assuming you can’t get them from a library) inserts are O(logN) lookups are O(logN) Linked lists (unsorted) low complexity to implement inserts are O(1) lookups are O(N) Hash tables high complexity to implement inserts are O(1) on average lookups are … Read more

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