Title here
Summary here
Kodkod Intro Course
The intro course builds a solid, shared professional foundation for the Full Stack / DATA track. We start by understanding the computer, the operating system and the network, move on to writing correct, professional Python, go deeper into object-oriented programming (OOP), and finish with the basics of backend development and databases.
How to learn here: the material is split into topics, in the order they are taught, and every topic into lessons. Each lesson starts from the basics (what it is and why we need it), moves on to syntax and examples that are broken down line by line, and ends with practice — the solutions open only when you choose to. Mark every lesson as “complete” — your progress is saved automatically.
Installations
The Computer and the Operating System
Networks and the Internet
Professional Python, Clean Code and Debugging
Exceptions and Logging
Git and GitHub
Data Structures and Functions
- list: Creating, Accessing, Adding, Removing, Searching and Looping
- tuple and set: a Fixed Record and a Collection Without Duplicates
- dict: Key and Value
- Slicing, Mutable versus Immutable, and is versus ==
- Functions in Depth: Default Values, Functions as Objects, *args, **kwargs and Lambda
- Scope: Local, Enclosing, Global and Built-in (LEGB)
- Pure Functions and Side Effects
- Higher-Order Functions: Functions That Receive and Return Functions
- Nested Functions, Closures and nonlocal
- Decorators: Adding Behavior to a Function Without Touching It
Modules, Files and JSON
OOP – Object-Oriented Programming
- Classes and Objects: From the Problem to a Complete Class
- Objects at Work: State, Information Hiding, Properties and a Complete Class
- Inheritance and super: Similar Classes Without Duplicated Code
- Polymorphism: a Common Interface, Different Behavior
- Single Responsibility in OOP and Composition Versus Inheritance
- Guided Practice: From a Verbal Requirement to a Class Structure
Backend and FastAPI
Databases and MySQL
- A Database and Setting Up MySQL: Tables, Keys, Docker and a Driver
- Connecting, a Table and Inserting Data: Connection, CREATE TABLE and INSERT
- Basic SQL: SELECT, WHERE by id and Simple Filtering
- Running a Query from Python: execute, Parameters, commit and fetch
- Updating and Deleting: UPDATE and DELETE by id — from SQL and from Python
- Full CRUD from Python: a Complete db.py Module and Testing All Four Actions