Scientific Computing with Python Certification

A project-led Python course in which every concept is taught by building something. Its nineteen blocks alternate lessons and certification projects: string manipulation by building a cipher, numbers and strings through the Luhn algorithm, lambda functions via an expense tracker, list comprehension via a case converter, the bisection method by finding a square root, then the Arithmetic Formatter project; regular expressions via a password generator, algorithm design via a shortest-path algorithm, recursion via the Tower of Hanoi, data structures via merge sort, then the Time Calculator project; classes and objects via a sudoku solver, tree traversal via a binary search tree, then the Budget App project; special methods via a vector space, interfaces via an equation solver, then the Polygon Area Calculator project; encapsulation via a projectile trajectory calculator, and finally the Probability Calculator project. The stated aim is to equip you to analyse and manipulate data with Python using data structures, algorithms and object-oriented programming.

It is self-paced and free, with the certificate issued at a public URL on freecodecamp.org. freeCodeCamp now lists the course under its archived coursework — not being updated, but still available — and recommends its current Python Certification instead.