Object-Oriented Programming with Python

• Choosing an IDE

  • Considerations when choosing the best programming environment for your needs.

  • Limitations of Jupyter Notebooks when building applications for production

• Procedural Python

  • A quick refresher of procedural Python programming using functions, and managing code that spans multiple files.

• Managing data with Collection objects

  • Lists

  • Dictionaries

  • Tuples

  • Sets

• Classes and Objects

  • Concepts behind object-oriented programming

  • When it's appropriate to use Object-Oriented Programming

  • Build simple applications that utilise classes, objects, methods and properties.

• Connecting to a Database

  • In this module, we'll build an OOP Python program that connects to a database, and performs CRUD operations (Create, Read, Update, Delete).

• Consuming an API

  • In this module, we'll write an OOP Python program that consumes a simple API.

• Error Handling

  • Learn how to catch errors and deal with them gracefully.

• Unit Tests

  • This module teaches the concepts behind Test Driven Development, using Python and OOP.

  • Learn how to write unit tests for your Python programs

• Deploying code and Managing Virtual Environments

  • Making sure that your Python code runs on another machine can be tricky. In this section, you'll learn how to solve this problem with a virtual environment.

  • Managing dependencies and preparing for deployment - It's one thing to build a Python program that runs on your own computer, quite another to ensure that the same code works after being deployed to a server.

  • Learn how to set up virtual environments to manage libraries that have been installed using pip.

• Code Kata

Code Katas provide an opportunity to reflect on how you write code, and to look for ways to improve. 

• You'll be given a challenge to complete.

• Starting with a clean slate, you'll attempt the same challenge again. 

• Reflect on how you were able to improve your code between attempts. 

• Present your code to your team, and discuss the improvements that you made. Compare and contrast different approaches taken by your colleagues.