Chapter 1: Python Refresher — The Fast Track

Learning Objectives

• Set up a reproducible Python environment with conda/pip and virtual environments
• Explain the Python data model including dunder methods and object protocols
• Use advanced data structures (defaultdict, Counter, deque, heapq) for scientific workflows
• Write efficient comprehensions and generator expressions for large datasets
• Implement proper I/O patterns for scientific data files