A deep dive into hash tables, collision resolution strategies, and advanced applications like Bloom filters.
Understanding the core concept of hash tables and the importance of a good hash function.
Comparing and contrasting the two main strategies: separate chaining and open addressing.
Implementing a hash table using separate chaining with linked lists.
Implementing open addressing with linear probing, quadratic probing, and double hashing.
Utilizing built-in hash map (or dictionary) data structures effectively.
Understanding the probabilistic Bloom filter for efficient set membership testing.