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Performing a Code Review

Intermediate
Updated 08/2024
Review a data analysis workflow for adherence to Python standards and best-practices.
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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. 1
    Hone your code-review skills by updating a Python notebook prepared by a Junior Data Scientist.

Technologies

Python Python

Topics

ProgrammingData Engineering
Jake Roach HeadshotJake Roach

Data Engineer

Jake Roach is a Field Data Engineer at Astronomer and DataCamp Instructor. A former Lead Data Engineer, Jake built a a state-of-the-art data platform for a multi-billion dollar organization, powered by Astronomer, Airflow, AWS, and Databricks. His passion for all things data engineering is contagious. Jake loves to write tutorials, teach DataCamp courses, and contribute to open source. Born and raised in Buffalo, NY, when he's not working with data, you can find him out at the golf course playing a quick nine holes before dark!
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George Boorman HeadshotGeorge Boorman

Curriculum Manager, DataCamp

George is a Curriculum Manager at DataCamp. He holds a PGDip in Exercise for Health and BSc (Hons) in Sports Science and has experience in project management across public health, applied research, and not-for-profit sectors. George is passionate about sports, tech for good, and all things data science.
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