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Understand and apply algorithms
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Module 8
Hash Tables
Hashing Keys to Array Indices
Explain how a hash table maps keys to array indices using a hash function.
2
Collision Resolution: Chaining
Describe how collisions occur and explain the 'chaining' strategy to handle them.
3
Hash Table Time Complexity
Analyze the average O(1) and worst-case O(n) time complexity of hash table operations.
4
Optimizing with Python Dictionaries
Use Python's dictionary (a hash table implementation) to solve problems requiring fast lookups.
5
Understanding Sets: Structure and Applications
Describe the set data structure and its use cases.
6
Solving Problems with Python Sets
Use Python's set to solve problems, such as finding unique elements in a collection.
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Linear Data Structures
Next module
Trees and Binary Search Trees