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You're reading from  Cracking the Data Science Interview

Product typeBook
Published inFeb 2024
PublisherPackt
ISBN-139781805120506
Edition1st Edition
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Authors (2):
Leondra R. Gonzalez
Leondra R. Gonzalez
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Leondra R. Gonzalez

Leondra R. Gonzalez is a data scientist at Microsoft and Chief Data Officer for tech startup CulTRUE, with 10 years of experience in tech, entertainment, and advertising. During her academic career, she has completed educational opportunities with Google, Amazon, NBC, and AT&T.
Read more about Leondra R. Gonzalez

Aaren Stubberfield
Aaren Stubberfield
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Aaren Stubberfield

Aaren Stubberfield is a senior data scientist for Microsoft's digital advertising business and the author of three popular courses on Datacamp. He graduated with an MS in Predictive Analytics and has over 10 years of experience in various data science and analytical roles focused on finding insights for business-related questions.
Read more about Aaren Stubberfield

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Using user-defined functions

Sometimes, you may need to create your own function to perform very specific operations. This is common in the data science world, especially as it relates to data cleaning, preprocessing, and modeling activities.

In this section, we will discuss user-defined functions, which are functions created by the programmer to perform specific tasks. They are not unlike mathematical functions, which (usually) take some inputs and (often) produce some outputs. User-defined functions are designed to take 0 or more inputs, do some specific computation(s) (we’ll just call it stuff), and produce an output.

This process is especially helpful when performing repeated tasks. In fact, the rule of thumb is to use it if you have to do a task more than once. In more advanced cases, user functions are also helpful for code reusability, organization, readability, and maintainability.

Breaking down the user-defined function syntax

When used effectively, user...

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Cracking the Data Science Interview
Published in: Feb 2024Publisher: PacktISBN-13: 9781805120506

Authors (2)

author image
Leondra R. Gonzalez

Leondra R. Gonzalez is a data scientist at Microsoft and Chief Data Officer for tech startup CulTRUE, with 10 years of experience in tech, entertainment, and advertising. During her academic career, she has completed educational opportunities with Google, Amazon, NBC, and AT&T.
Read more about Leondra R. Gonzalez

author image
Aaren Stubberfield

Aaren Stubberfield is a senior data scientist for Microsoft's digital advertising business and the author of three popular courses on Datacamp. He graduated with an MS in Predictive Analytics and has over 10 years of experience in various data science and analytical roles focused on finding insights for business-related questions.
Read more about Aaren Stubberfield