Session 3: Functional Programming in Python (3 Hours)

Working with Iterators & Generators

• iter(), next(), and custom iterators
• Using yield for memory-efficient generators
  Map, Filter, and List Comprehensions
• Applying map() and filter() to transform data
• Writing Pythonic list comprehensions

• Hands-on Lab:
• Creating an OS directory walker using generators.
• Filtering and mapping operations on existing datasets

Session 4: Case Studies & Practical Applications (4 Hours)

Regular Expressions (RegEx) & Text Processing

• Searching, replacing, and formatting strings
• Extracting useful information from logs
  Logging & JSON Handling
• Configuring logging for debugging
• Writing structured JSON files
  Database Connectivity & CRUD Operations
• Connecting Python to SQLite3 databases
• Writing and executing SQL queries using Python

• Hands-on Lab:
• Extracting patterns from logs & CSV files using RegEx.
• Writing complex Python structures to JSON format.
• Performing CRUD operations in Python using SQLite3.