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Performing a Code Review
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
- 1Hone your code-review skills by updating a Python notebook prepared by a Junior Data Scientist.
Technologies
Python
Jake Roach
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Data Engineer
Hi all! I'm Jake, a Data Engineer and DataCamp Instructor. I use Python and Airflow to extract, transform, and load data into a state-of-the-art data platform powered by Astronomer, AWS, MongoDB and Postgres. I'm born and raised in Buffalo, NY, so I'm used to seeing a Snowflake or two. When I'm not working with data, you can find me out at the golf course playing a quick nine holes before dark!
George Boorman
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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.