Section outline

• Select section Day 1: OOP Principles & Inheritance (7 Hours)

  Day 1: OOP Principles & Inheritance (7 Hours)

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  Session 1: Introduction to Python OOP (3 Hours)

  Understanding Python Native Types

  • What are classes and objects?
  • Methods and special methods (__init__, __str__)
  • Built-in class attributes (__dict__, __name__)

  • Hands-on Lab:
  • Building a trading application using the class and object design model.

   

  Session 2: Inheritance & Exception Handling (4 Hours)

  Python Inheritance & Types

  • Using the super() function
  • Code reuse and extending functionality
    Handling Exceptions & Custom Errors
  • Try-except-finally blocks
  • Raising custom exceptions
    Decorators & Python Closures
  • Function decorators (@staticmethod, @classmethod)
  • Advanced closure functions

  • Hands-on Lab:
  • Implementing class inheritance & handling exceptions.
  • Using decorators for reusable components.
• Select section Day 2: Functional Programming, Advanced Techniques & Case Studies (7 Hours)

  Day 2: Functional Programming, Advanced Techniques & Case Studies (7 Hours)

  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.