A curated pathway to master Python programming. Follow these milestones to build a solid foundation and branch out into different areas like data science and web development.
Get comfortable with Python syntax: indentation, statements, variables and dynamic typing. Learn how to write clean, readable code the Pythonic way.
Learn about numbers, strings, lists, tuples and dictionaries. Understand mutability, slicing and built‑in functions that make working with data a breeze.
Use if/elif/else, while and for loops, and list comprehensions to make decisions and repeat tasks efficiently.
Write reusable code with functions, understand arguments, return values, variable scope and anonymous functions (lambdas).
Master sequence types: create, update and manipulate lists and tuples using slicing, indexing and built‑in methods.
Use dictionaries to map keys to values and sets to store unique items. Learn common operations like iteration and comprehension.
Read from and write to files, work with context managers and handle CSV and JSON formats for data persistence.
Leverage NumPy for high‑performance numerical computing and Pandas for data manipulation and analysis.
Implement classes, inheritance and polymorphism in Python. Understand dunder methods and how everything is an object.
Build web applications using frameworks like Flask and Django. Learn routing, templates, databases and deployment basics.
Dive into data analysis, visualization, machine learning and statistics using libraries like Matplotlib, Scikit‑learn and Seaborn.
Automate mundane tasks, write scripts to interact with files, networks and APIs, and schedule jobs.