Understand reserved keywords, constant-like naming conventions, and how they affect valid identifiers.

Learn core data types and convert between them using casting functions like int(), float(), str().

Create and update variables, understand naming rules, and how Python stores values in memory.

Solve small problems combining variables, types, and basic I/O to reinforce previous concepts.

Introduce decision-making in programs and why branching logic is required in real applications.

Write conditional blocks using if, elif, and else to execute different code paths.

Learn how Python evaluates expressions that combine values, variables, and operators.

Use operators to perform calculations, test relationships, and build logical decisions in code.

Second revision session focusing on expressions and conditions through structured practice problems.

Learn what functions are, why they are used, and how to define and use them.

Understand purpose of functions, their benefits, and when to encapsulate logic into reusable blocks.

Explore commonly used built-in functions to perform frequent operations quickly.

Practice using control flows and functions together in small, real-world style exercises.

Define custom functions with def, including name, parameters, and return values.

Call functions correctly, pass arguments, and reuse them across multiple parts of a program.

Explore different function types such as returning, non-returning, parameterized, and non-parameterized.

Learn how to use functions as arguments in other functions, and how to return functions as values.

Understand positional, default, and keyword parameters to design flexible function interfaces.

Build two small projects that apply loops, conditions, and functions to realistic problem statements.