Programming Essentials with Python: Matplotlib and Seaborn

This third part of the introduction to Python programming ExpertTrack will cover the fundamental principles of data-visualisation library design. Learn how to create object-oriented programming and explore the main components of visualising with Python. Other Python libraries will also be covered, including their use and how to compare them.

Matplotlib, a Python multi-platform plotting library, is available. You can create high-quality 2D charts with just a few lines code. This course will cover the fundamentals of Python Matplotlib, including its architecture and objects, as well as how to create static plots with the library.

Seaborn, a Python data-visualisation tool based on Matplotlib, provides a high level interface for creating statistical graphics. The Seaborn package's architecture and objects will be examined. You'll also learn how to customise Seaborn plots and create static visualisations.

Object-oriented programming (OOP), is a way to structure a program by combining related properties and behaviours into separate objects. This course will teach you the fundamental principles of OOP. This course will help you to communicate object-oriented programming to Python.

After completing this third course in the Python Programming Essentials ExpertTrack you will be able distinguish between different types of cloud architectures, communicate fluently with tech teams about Python options, and perform basic tasks using Python.