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Learn Python programming
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Module 2
Complexity Analysis and Core Data Structures
1
Big-O Notation and Algorithmic Efficiency
Analyze time complexity of algorithms using Big-O notation
2
Analyzing Space Complexity with Big-O Notation
Analyze space complexity of algorithms using Big-O notation
3
Understanding Time Complexity: Code Patterns and Big O
Identify common time complexities (logarithmic, linear, quadratic) from code patterns
4
Optimizing with Sets: Membership & Deduplication
Use sets for efficient membership testing and removal of duplicates
5
Tuples and Immutability
Use tuples and understand their immutability properties
6
Dictionary Methods for Data Storage and Retrieval
Apply common dictionary methods for data storage and retrieval
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Python Tools for Competitive Programming
Next module
Sorting and Searching Algorithms