interactive-python-series

Python’s standard library is vast, providing ready-made tools for math, random numbers, and system interactions. Learn how to import and utilize modules like math, datetime, and os to avoid reinventing the wheel.

Object-Oriented Programming (OOP) helps organize code by modeling real-world entities. We’ll break down the concept of Classes as blueprints and Objects as the specific houses built from those blueprints.

Modern applications exchange data using JSON, and Python’s built-in library handles this format seamlessly. Learn to serialize Python objects into JSON strings and deserialize them back for easy data storage and transfer.

Python comes batteries-included with powerful helpers that save you from writing standard logic from scratch. We’ll explore zip(), enumerate(), map(), and filter() to level up your coding efficiency.