Performing a Code Review

Intermédiaire

Updated 08/2024

Review a data analysis workflow for adherence to Python standards and best-practices.

Créez votre compte gratuit

En continuant, vous acceptez nos Conditions d'utilisation, notre Politique de confidentialité et le fait que vos données sont stockées aux États-Unis.

Project Description

Similar to software engineering teams, data teams write and ship code that must execute in a production environment. Performing code reviews helps to ensure the integrity of this code, and often catches logic and style errors missed during initial development.

In this project, you'll take on the role of a Senior Data Scientist, performing a code review for a Junior Data Scientist in your team. You'll review and make changes to their logic to ingest, clean, and visualize smartphone data to make sure it follows Python best practices, such as adhering to PEP-8 and DRY principles, as well as readability and documentation.

Project Tasks

1
Hone your code-review skills by updating a Python notebook prepared by a Junior Data Scientist.

Technologies

Python

Topics

Programming Data Engineering

Conditions préalables

Software Engineering Principles in Python Writing Efficient Python Code

Jake Roach

Data Engineer

George Boorman

Curriculum Manager, DataCamp

What do other learners have to say?