Python Cheatsheet is a collection of 25 guided labs for learning or revisiting Python through runnable examples. Rather than presenting a single static reference page, it lets you work topic by topic—from basic syntax and collections to files, debugging, object-oriented programming, packaging, and environment tools.
Each focused lab explains a concept and then has you try it in the browser-based development environment. You can follow the course in order for a broad progression or return to individual labs when you need a practical refresher.
What You Will Learn
- Write and run Python scripts while using operators, control flow, functions, and built-in functions
- Create, inspect, and transform lists, tuples, dictionaries, sets, and comprehensions
- Manipulate and format strings, and match text with Python regular expressions
- Work with paths and files, and read structured data in JSON and YAML formats
- Handle exceptions and investigate program behavior with tracebacks, assertions, and logging
- Use flexible function arguments, lambda expressions, decorators, and context managers
- Apply object-oriented concepts and define concise data containers with dataclasses
- Organize executable modules, install a basic
setup.pypackage, and try common Python environment tools
Who This Course Is For
This course suits new Python learners who want a wide, example-led tour, developers coming from another language, and existing Python users who need a hands-on reference for specific topics. The opening labs teach the fundamentals, while later labs assume increasing comfort with functions and everyday Python syntax.
Prerequisites: No prior Python experience is required. Basic familiarity with files and terminal commands is helpful, and taking the foundational labs first is recommended before decorators, object-oriented programming, or packaging.
Learning environment: All labs run in an Ubuntu 22.04 WebIDE with an editor and terminal. You will create and execute local Python files; selected labs install or use supporting packages and tools such as ruamel.yaml, Anyconfig, virtualenv, Poetry, Pipenv, conda, and uv.
Frequently Asked Questions
Is this a single printable cheatsheet?
No. It is a course of 25 guided, topic-focused labs with runnable examples. Its modular structure makes it useful for quick review, but the learning happens by editing files and running commands.
Can a complete beginner take the course?
Yes. It begins with the development environment, syntax, control flow, functions, and collections. For the later material—such as decorators, context managers, OOP, and packaging—you will benefit from completing those foundations first.
Will I build a complete application?
No. The course emphasizes small examples and focused exercises rather than a capstone application. It is best for building breadth or filling gaps in your Python knowledge.
Does the packaging material cover modern Python publishing?
Only partly. One lab creates and installs a traditional setup.py/Distutils package. The environment-tools lab introduces pyproject.toml through Poetry and uv, but the course does not provide an end-to-end package publishing workflow.
