Python Programming for Beginners

Objective: Establish foundational understanding of programming concepts and the Python development environment.
Scope:
• What programming is and how computers execute instructions
• Python's role in modern software development
• Environment setup: installation, IDE configuration, and first run
• Writing and executing the first Python program

Objective: Enable logical branching and introduce repetition and automation within programs.
Scope:
• Conditional statements: if, elif, and else
• For loops and while loops for iteration
• Range-based patterns and loop control: break and continue
• Practical decision-making and loop-based programming exercises

Objective: Develop structured and reusable code through function design and modular programming.
Scope:
• Defining and calling functions with parameters and arguments
• Return values, default parameters, and scope
• Modular thinking and code organisation principles
• Building reusable logic components across a program

Objective: Enable efficient storage and manipulation of structured collections of data.
Scope:
• Lists and tuples: creating, accessing, and modifying sequences
• Dictionaries: key-value storage and retrieval
• Iterating over collections and applying common data operations
• Practical data-driven programming challenges

Objective: Build robust programs that process external data and recover gracefully from errors.
Scope:
• Reading and writing text files in Python
• Importing and using standard library modules
• Try, except, and finally patterns for exception handling
• Writing stable, maintainable code that handles real-world failure cases

Objective: Introduce structured program design using classes, objects, and object-oriented principles.
Scope:
• Classes and object creation: attributes and methods
• Constructors, instance variables, and encapsulation
• Inheritance and method overriding
• Applying OOP concepts to structure real programs

Objective: Write defensively coded programs that handle errors and can be debugged systematically.
Scope:
• Common Python exceptions and when they occur
• Try, except, else, and finally patterns
• Raising custom exceptions and error messages
• Debugging techniques: reading tracebacks and isolating failures

Objective: Consolidate all course learning through the design and delivery of a complete Python application.
Scope:
• Applying all course concepts within a single cohesive project
• Project planning and structured implementation approach
• Code review and EngagePro submission reviewed by Ravi Kumar
• Presentation of the completed application to the cohort