Yes, the course includes regular hands-on coding, though it leans more toward guided assignments than open-ended projects. You'll write functions, trace programs with visualizer tools and the IDLE debugger, and complete programming assignments on tasks such as time zones or DNA processing. That matters because you apply each concept soon after it's introduced.

You'll cover the main building blocks of Python programming, from variables, functions, and strings to Boolean logic, if statements, and loops. The course then moves into debugging, file handling, and working with collections such as lists, tuples, and dictionaries. By the end, you'll have a practical grasp of how to write, read, and reason through small programs.

By the end, you should be able to write small Python programs that use functions, conditionals, loops, and common data structures. That includes tasks like processing strings, reading from and writing to files, or storing and looking up information in a dictionary. You should also be able to trace how your code runs and fix many basic errors on your own.

It's more concept-first, with regular coding practice built in. The course spends time explaining how Python works, then reinforces each idea through guided practice, quizzes, and assignments. That's a good match if you want to understand your code, not just copy examples.