Must-know advanced Python skills
In addition to the fundamental Python skills covered in the preceding section, data engineers should be familiar with several advanced Python concepts and techniques. Examples are object-oriented programming (OOP), advanced data structures, and well-known libraries and frameworks for data analysis and visualization.
In the following subsections, we will review the advanced Python skills required for data engineering interviews.
SKILL 1 – understand the concepts of OOP and how to apply them in Python
The foundation of the OOP programming paradigm is the concept of objects, which can hold data and allow for the coding of data manipulation. When developing complex software systems for data engineering applications, OOP is a powerful technique. Python uses classes to create objects that csn be created and used to do certain tasks. A class is a blueprint that details the characteristics and capabilities of an item. When you instantiate an...
