Reader small image

You're reading from  Cracking the Data Engineering Interview

Product typeBook
Published inNov 2023
PublisherPackt
ISBN-139781837630776
Edition1st Edition
Right arrow
Authors (2):
Kedeisha Bryan
Kedeisha Bryan
author image
Kedeisha Bryan

Kedeisha Bryan is a data professional with experience in data analytics, science, and engineering. She has prior experience combining both Six Sigma and analytics to provide data solutions that have impacted policy changes and leadership decisions. She is fluent in tools such as SQL, Python, and Tableau. She is the founder and leader at the Data in Motion Academy, providing personalized skill development, resources, and training at scale to aspiring data professionals across the globe. Her other works include another Packt book in the works and an SQL course for LinkedIn Learning.
Read more about Kedeisha Bryan

Taamir Ransome
Taamir Ransome
author image
Taamir Ransome

Taamir Ransome is a Data Scientist and Software Engineer. He has experience in building machine learning and artificial intelligence solutions for the US Army. He is also the founder of the Vet Dev Institute, where he currently provides cloud-based data solutions for clients. He holds a master's degree in Analytics from Western Governors University.
Read more about Taamir Ransome

View More author details
Right arrow

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...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Cracking the Data Engineering Interview
Published in: Nov 2023Publisher: PacktISBN-13: 9781837630776

Authors (2)

author image
Kedeisha Bryan

Kedeisha Bryan is a data professional with experience in data analytics, science, and engineering. She has prior experience combining both Six Sigma and analytics to provide data solutions that have impacted policy changes and leadership decisions. She is fluent in tools such as SQL, Python, and Tableau. She is the founder and leader at the Data in Motion Academy, providing personalized skill development, resources, and training at scale to aspiring data professionals across the globe. Her other works include another Packt book in the works and an SQL course for LinkedIn Learning.
Read more about Kedeisha Bryan

author image
Taamir Ransome

Taamir Ransome is a Data Scientist and Software Engineer. He has experience in building machine learning and artificial intelligence solutions for the US Army. He is also the founder of the Vet Dev Institute, where he currently provides cloud-based data solutions for clients. He holds a master's degree in Analytics from Western Governors University.
Read more about Taamir Ransome