Python Basics
Fundamental concepts for beginners
- Variables and Data Types
- Operators and Expressions
- Control Flow (if/else)
- Loops (for/while)
- Basic Input/Output
Every topic we help with, grouped by level. Pick the one blocking you and get unstuck.
Start with the beginner tab if your assignment covers variables, control flow, functions, data structures, or file handling. Those five topics cover about 80% of first-year Python coursework. Work through them in order if you are starting from scratch; jump straight to the one blocking you if you already have the others.
Move on to the intermediate and advanced tabs for object-oriented programming, algorithms, error handling, and modules. Data analysis, web development, and machine learning each sit inside the advanced tab and map directly to library-heavy courses like DATA 100, Django projects, and scikit-learn assignments.
Each topic page includes working code examples, common pitfalls, and a copy button. If you need a cheatsheet or a step-by-step debugging guide, check the resources section.
Fundamental concepts for beginners
Working with Python's built-in data structures
Creating and using functions in Python
Reading and writing files in Python
Classes, objects, and OOP principles
Managing exceptions in Python
Organizing and reusing code
Common algorithms implemented in Python
Analyzing data with Python libraries
Building web applications with Python
Introduction to ML with Python
Advanced Python programming techniques
Stuck mid-assignment? Python Code Rescue fixes autograder failures and broken setups.
Stuck on one of these topics? Send the assignment and get working code back.