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Data structures and algorithms
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Module 1
Algorithmic Analysis and Python Foundations
1
Understanding Time Complexity and Big O Notation
Explain time complexity and Big O notation with examples.
2
Analyzing Loop Time Complexity
Analyze the time complexity of iterative algorithms with loops.
3
Space Complexity: Understanding Memory Usage
Explain space complexity and its importance in algorithm design.
4
Python Classes: Custom Data Structures
Define and use Python classes to represent custom data structures.
5
Python Data Structures: Time and Space Complexity
Analyze the time and space efficiency of Python's built-in list and dictionary operations.
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