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Python Fundamentals: From Zero to Programmer

Learn Python from scratch. 10 modules covering variables, control flow, functions, data structures, OOP, and real projects — all with hands-on exercises.

10 modules 70 lessons ~18h AI voice coach

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Course Outline

Getting Started with Python

6 lessons

Install Python, understand the interpreter, write your first program, and learn how Python code executes.

What is Python and Why Learn It?

Installing Python and Setting Up Your Environment

The Python REPL and Running Scripts

Your First Python Program

How Python Executes Code

Checkpoint: Environment and First Steps

Variables, Data Types & Operators

7 lessons

Master Python's core data types — integers, floats, strings, booleans — and how to store, name, and operate on values.

Variables and Assignment

Numbers: int, float, and complex

Strings: Creating and Basic Operations

Booleans and None

Type Conversion and the type() Function

Reading User Input with input()

Checkpoint: Variables and Types Practice

String Manipulation in Depth

6 lessons

Explore Python's powerful string operations: indexing, slicing, formatting, and the most useful built-in string methods.

String Indexing and Slicing

Essential String Methods

String Formatting: f-strings and format()

String Immutability and Memory

Multiline Strings and Raw Strings

Checkpoint: String Processing Exercises

Control Flow: Conditionals and Loops

7 lessons

Control how your program makes decisions and repeats actions using if/elif/else, for loops, while loops, and loop control statements.

if, elif, and else Statements

Ternary Expressions and match/case

for Loops and range()

while Loops

break, continue, and pass

else Clauses on Loops

Checkpoint: Control Flow Challenges

Functions: Reusable, Testable Code

7 lessons

Define and call functions, master Python's flexible argument system (positional, keyword, *args, **kwargs), understand scope, and write clean docstrings.

Defining and Calling Functions

Parameters: Positional, Keyword, and Defaults

*args and **kwargs

Scope, LEGB Rule, and global/nonlocal

Lambda Functions

Docstrings and Type Hints

Checkpoint: Functions Practice Set

Data Structures: Lists, Tuples, Sets & Dicts

8 lessons

Master Python's four built-in collection types, learn when to use each, and write idiomatic comprehensions for concise data transformation.

Lists: Ordered, Mutable Sequences

Tuples: Immutable Sequences

Dictionaries: Key-Value Mapping

Sets: Unordered Unique Collections

List, Dict, and Set Comprehensions

Nested Data Structures

The collections Module: Counter, defaultdict, deque

Checkpoint: Data Structure Challenges

Error Handling and File I/O

7 lessons

Write robust programs that handle unexpected situations gracefully using try/except, and read and write files on disk.

Understanding Exceptions and the Exception Hierarchy

try, except, else, and finally

Raising and Creating Custom Exceptions

Reading Files with open() and with

Writing and Appending to Files

Working with JSON: json.load() and json.dump()

Checkpoint: Robust File Processor

Object-Oriented Programming with Python

8 lessons

Design programs around classes and objects. Learn encapsulation, inheritance, polymorphism, and Python's special dunder methods.

Classes and Objects: The Blueprint Metaphor

Instance Methods, Class Methods, and Static Methods

Encapsulation: Public, Protected, and Private

Inheritance and Method Overriding

Polymorphism and Duck Typing

Magic (Dunder) Methods: __str__, __repr__, __len__, __eq__

Dataclasses for Cleaner Models

Checkpoint: Build a Library Book System

Modules, Packages & the Standard Library

7 lessons

Organize code across multiple files, create reusable packages, and leverage Python's rich standard library for everyday tasks.

The import System: Modules and Namespaces

Creating Your Own Modules and Packages

File System Operations: os and pathlib

Dates and Times with datetime

math and random Modules

Virtual Environments and pip

Checkpoint: Build a CLI Utility with argparse

Pythonic Code and Best Practices

7 lessons

Write code that is idiomatic, readable, and efficient. Cover generators, decorators, itertools, PEP 8, and testing fundamentals.

PEP 8: Python Style Guide

Generators and yield

Decorators: Functions that Wrap Functions

itertools and functools Essentials

Context Managers and the with Statement

Unit Testing with pytest

Capstone: Build a Contact Book CLI App