Object-Oriented Programming in Python

Course Level: Advanced (6 hours)

Object-oriented programming is the dominant programming paradigm in Python and can be used to improve the structure of your data science code. Here, we will learn how to model real-world entities using classes, how to create class instances, and how to attach data and behaviour to these objects. The main ideas of object-oriented design (inheritance, polymorphism, encapsulation, abstraction) are covered, and you will learn how to extend existing classes from well-known data science packages.

Download course details

Book: Object-Oriented Programming in Python

Start Date:
Price:
Venue Details:
Time:
Duration:

Number of participants: Add course to cart Add all courses in this series to cart Ask for more details about this course

No Events Currently Scheduled

Sorry, there are no upcoming events for this course, but please get in touch if you would like to be kept informed when events are scheduled in the future.

Request on-site training details Request online training details View all training courses

Course Details

Outline

Object-oriented design: An introduction to the aims and mindset of object-oriented programming, the most dominant programming paradigm in Python.
Classes in Python: How to define classes, and how to use these to create instances.
Methods and attributes for instances and classes: How to attach data and behaviour to classes and their instances.
Inheritance, Composition, Polymorphism: A brief introduction to best practices for creating flexible object-oriented code.
Extending classes from well-known data science packages: How to take existing classes and add new features to them.

Learning outcomes

Session 1:

By the end of session 1 participants will…

understand how to model real-world (and more abstract) objects using classes
be able to define classes in Python
understand how to make class instances
understand instance methods and attributes

Session 2:

By the end of session 2 participants will…

understand how inheritance can help with code reuse
be able to define class and static methods
understand how to use composition to make classes that contain other objects
understand how OOP and inheritance makes it easier to write polymorphic code

This course does not include:

using object-relational mappings to interact with databases, see our Intro to SQL with Python course for this
advanced OOP ideas (design patterns, metaclasses)
unified modelling language or other graphical ways to represent how classes/instances interact
a comparison of the programming paradigms that are available in Python
an introduction to Pandas, Numpy or Matplotlib, see our Intro to Python course for this

Prior knowledge

The course will assume a basic understanding of popular Python libraries including NumPy, Pandas and Matplotlib, as well as common data types like Pandas DataFrames. The course will also make use of basic programming concepts like defining functions and running for loops. Completion of our Intro to Python and Programming with Python (or equivalent experience) would provide a suitable background.