Short lessons that explain one idea at a time, with code you can edit and run right on the page. Follow a path from zero, then practice with challenges.
Follow a path: short lessons first, then a challenge to check you can use the idea on your own.
From print() and variables to conditions, loops, strings, collections, functions, files and classes, with a challenge after each topic.
Classic beginner exercises on numbers, text and lists, each followed by a challenge to solve on your own.
Searching, sorting, recursion, stacks and graph traversal, each followed by a challenge.
Arrays, statistics, matrices and DataFrames, then the same ideas in machine learning challenges.
Classes and objects, then the creational, structural and behavioral patterns used in real Python code.
From NumPy arrays to neurons, softmax and attention, then on to the neural networks path.
Neurons, training, regression, classification, attention, text generation, search and reinforcement learning: one short lesson per idea, each followed by challenges.
Store values in variables and learn Python's basic types: str, int, float and bool.
View example →Do arithmetic in Python with +, -, *, /, //, % and **, and compare values.
View example →Read what the user types with input() and convert it to a number.
View example →Make decisions with if, elif and else, and combine conditions with and, or and not.
View example →Learn Python for loops with range, enumerate, and a runnable example.
View example →Run a Python while loop and learn how its condition controls repetition.
View example →Work with text in Python: length, indexing, slicing and string methods.
View example →Build readable output with Python f-strings and format specifiers.
View example →Group values in a tuple, unpack them and return several values from a function.
View example →Keep unique values with a Python set and combine sets with union and intersection.
View example →