Python Optional Level — Syllabus Outline

The moment your programs stop being one long script. Define your own commands, pass data in, send answers back, and learn why a name inside a function is invisible outside it. Six lessons, ending with a toolbox you keep using.

A list is the container you reach for first, so learn the whole toolkit properly: reading items, changing them, adding and removing them, searching, and sorting by whatever rule you choose. Ends with a full create-read-update-delete manager.

When a position is not enough and you need a name for each value. Create pairs, look them up safely, change and remove them, loop over both halves at once, and nest dictionaries inside lists to model something real.

Until now everything your programs knew was forgotten the moment they closed. Read text from disk, write it back, process a file line by line, store records you can load again, and handle the file that is not there.

Stop juggling parallel lists of names, scores and lives. Write a blueprint once, then make as many objects from it as you like — each with its own data and its own behaviour. Six lessons from the first class to a family of them.

Text is the data you meet most and tidy up least. Reach into it by position, clean up whatever the user typed, split a sentence into words and join it back, and format numbers so a column of prices actually lines up.

A red wall of text is not a punishment — it is the most useful message Python ever gives you. Learn to read a traceback, catch the failures you can see coming, raise your own when the data is wrong, and stop a program crashing on a typo.

The same job in one clear line instead of four. Comprehensions, enumerate, zip and key= are what separate code that merely works from code that reads like Python — and they appear in every codebase you will ever open.

Lists and dictionaries are not the whole story. A tuple is the one that cannot change, which is exactly why it is safe; a set throws duplicates away and answers “what is in both?” instantly. Knowing which container to reach for is half of writing good Python.

One file gets long, then unmanageable. Import what the standard library already gives you, move your own code into files you can reuse, understand why every real script ends with that __main__ line, and install someone else’s package without breaking your machine.