Google's Python Class

Google's Python Class is a free, self-paced introduction to Python created by Stanford lecturer Nick Parlante for Google's internal engEDU training, and it remains one of the most-recommended free Python resources on Reddit's r/learnpython for people who already know basic programming. It bundles written guides, seven recorded lecture videos, and a downloadable set of hands-on coding exercises (with provided solutions) that progress from strings and lists to file processing, regular expressions, and HTTP via urllib. The written materials have been updated and now state they 'cover Python 3,' but the lecture videos were recorded in 2010 and still demonstrate Python 2 syntax (for example print statements), so video and text occasionally diverge. It is genuinely worth taking if you have prior coding experience and want a fast, practical on-ramp to Python; it is a poor fit as a first-ever programming course because the pace is brisk and assumes you already understand variables and if-statements. There is no certificate and no registration, which makes it low-commitment but unsuitable for anyone who needs a credential.

An excellent, free, well-structured Python on-ramp for people who already program in another language, but the assumed prior experience, the fast pace, the dated Python 2 lecture videos, and the lack of any certificate make it a conditional recommendation rather than a universal one.

Best for: Developers or students who already understand basic programming concepts (variables, if-statements, loops) in another language and want a fast, exercise-driven introduction to Python fundamentals; self-starters who prefer reading plus short videos over a long structured MOOC; and anyone wanting a free, no-signup refresher on Python strings, lists, dicts, files, and regex.

Skip if: Absolute beginners who have never written code (the materials explicitly assume you know what a variable and an if-statement are, and reviewers repeatedly note the pace is too quick for true novices); learners who need a verifiable certificate for a resume or employer; people wanting modern Python depth such as virtual environments, type hints, packaging, data science libraries (pandas/NumPy), or web frameworks, none of which are covered.