Python Programming

Installing Python & an editor, and writing, running and understanding your first script.

Numbers, strings & booleans, and arithmetic, comparison & logical operators.

Taking user input, printing formatted output, and converting between data types.

Writing decision-making logic using if, elif and else, with real practice problems.

Repeating logic correctly with for & while loops, range(), break and continue.

Writing reusable functions, default & keyword arguments, and return values.

Storing, slicing and manipulating ordered collections of data.

Storing key-value data with dictionaries, and using sets for unique collections.

Slicing, searching & formatting strings using f-strings and built-in string methods.

Writing shorter, cleaner code with comprehensions and one-line lambda functions.

Opening, reading, writing and closing text files safely using with statements.

Using try, except & finally to handle runtime errors gracefully.

Organizing code into modules, and installing & using external packages with pip.

Defining classes, creating objects, and understanding attributes & methods in Python.

Reading & writing JSON and CSV files, the two most common real-world data formats.

Working with arrays and fast numerical operations using the NumPy library.

Loading, cleaning and analyzing tabular data using DataFrames — the base of most AI/ML pipelines.

Fetching web data & automating repetitive tasks using requests and BeautifulSoup.

Setting up routes & endpoints to build a basic working web backend with Flask.

A final project combining functions, file handling & a library of your choice — planned and built independently.