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LearnPython Fundamentals

Python Fundamentals
for Data Science.

Learn Python the smart way - focus on understanding code, not memorizing syntax. In the age of AI assistants, your job is to read, validate, and guide.

Course Overview

Modules

5

Duration

~3.5 hours

Interactive AnimationsLive Python PlaygroundReal-time FeedbackAI-Ready Skills

Learning Modules

Each module combines animated explanations, hands-on practice, and real-world applications. Run Python directly in your browser.

Core Syntax - The Building Blocks

Learn the fundamental vocabulary of Python through interactive visualizations. Variables, data types, and operations explained visually.

Topics covered

What is Python & Why Data Science Loves It

Variables - Labeled Boxes for Data

Data Types - int, float, str, bool

Basic Operations - Math and Combining Values

Comments & Code Readability

Control Flow - Decisions & Loops

Master the logic that drives programs. See decisions unfold through railroad switch animations and conveyor belt loops.

Topics covered

Comparison Operators - Yes/No Questions

If Statements - The Decision Maker

Logical Operators - AND, OR, NOT

For Loops - Processing Collections

While Loops - Repeat Until Done

Data Structures

Visualize how data is stored and accessed. From filing cabinets to conveyor belts, see data structures come alive.

Topics covered

Lists - Ordered Collections

Dictionaries - Key-Value Pairs

List Comprehensions

Nested Structures

Functions

See functions as machines that transform inputs to outputs. Understand code structure through animated workflows.

Topics covered

Anatomy of a Function

Parameters & Arguments

Built-in Functions

Reading LLM-Generated Functions

Working with LLMs

The skill that sets you apart. Learn to read, validate, and iterate on AI-generated code effectively.

Topics covered

How to Prompt for Data Tasks

Validating LLM Code

Common LLM Mistakes to Catch

Iterating with LLMs