Python for Programming & Data Foundations

Programming Basics & Python Fundamentals

• Programming fundamentals, memory units, flowcharts
• Why Python and syntax basics
• Variables, data types, type conversion
• Operators, type hints, f-strings

Control Flow

• Conditional statements (if, elif, nested, match)
• Loops (for, while) and nested loops
• Patterns and control statements (break, continue, pass)
• Basic problem-solving

Data Structures

• Lists, tuples, sets, dictionaries
• Mutability vs immutability
• Built-in functions (zip, enumerate, range, slicing)
• Data structure methods and usage

Functions & Modules

• Functions, arguments, return and yield
• Variable scope and function calls
• Recursion
• Modules and packages
• Standard modules (math, os, sys, random)

Lists, Strings & Problem Solving

• Lists and memory representation
• Searching, sorting, 2D lists
• Strings and string methods
• Problem-solving using lists and strings

Functional Programming & OOPS

• Higher-order functions, lambdas
• Map, filter, reduce, any, all
• Decorators and walrus operator
• OOPS basics (class, object, constructors)

OOPS, Exception & File Handling

• Encapsulation, inheritance, polymorphism, abstraction
• Static, class, abstract and magic methods
• Exception handling and custom exceptions
• File handling, CSV, pickling
• Database basics and SQL (SQLite/MySQL)

Advanced Libraries & Projects

• Mini project implementation
• GUI programming with Tkinter
• NumPy fundamentals
• Pandas for data analysis
• Matplotlib for visualization

+1 more guided practice topics in class