Python: Building data abstractions

Included in the course

What you'll learn

• Identify entities in the subject area
• Establish the correct relationships between entities
• Choose the data structure to store the entities
• Design abstraction interfaces
• Define and follow invariants
• Make proper use of lists and dictionaries

Description

In this course, you will learn abstraction with data. You'll learn the principles of building interfaces and layered applications. As a result, you will learn how to design and represent real-world objects in code and build abstraction barriers. The knowledge you'll gain in this course will help you create extensible and maintainable code. You will design your code architecture based on the intended use. To make learning easier, it's worth learning about functions and basic collection types like lists and dictionaries beforehand.

Course program

• 1

  Introduction

  Learning about the course and its goals

  theory
• 2

  Ontology

  Introducing the concept of subject areas

  theory
• 3

  Points on the coordinate plane

  Learning to model a specific area

  theory
• 4

  Semantics of lists and dictionaries

  Learning to choose the data structure for the task

  theory
• 5

  Creating an abstraction

  Understanding why to hide data structure and parse examples

  theory
• 6

  Interfaces

  Learning new terminology

  theory
• 7

  Level design

  Learning to see the boundaries of abstraction and emphasize layers

  theory
• 8

  Invariants

  Introducing the concept of data hiding and analyzing examples

  theory
• 9

  Additional resources

  Some materials the Hexlet team have picked up. This will give you a more in-depth understanding of the topic