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Session 5
Algorithm and Programming (Python)

Data Structures: Lists, Tuples, and Sequences

4 hours
Duration
8
Materials
6
Objectives
Session Overview

Advanced list and tuple programming including list methods, slicing, comprehensions, memory management, and sequence protocol implementation.

Learning Objectives
By the end of this session, you should be able to:
  • Master all list methods and operations with time complexity analysis
  • Implement advanced slicing techniques and negative indexing
  • Design efficient list comprehensions and generator expressions
  • Understand memory management and list performance characteristics
  • Apply tuple packing and unpacking for multiple assignment
  • Implement custom sequence types with special methods
Course Materials
Download materials for offline study and reference
Complete List and Tuple Reference (40 pages)
Available material
List Method Time Complexity Analysis
Available material
Advanced Slicing and Indexing Techniques
Available material
List Comprehension and Generator Expression Guide
Available material
Memory Management and Performance Optimization
Available material
70 List and Tuple Programming Problems
Available material
Custom Sequence Implementation Examples
Available material
Data Structure Performance Comparison
Available material