This post provides software engineering best practices for data analysts. It covers key lessons, such as code readability, automation of repetitive tasks, mastering tools, managing environments, optimizing program performance, DRY principle, leveraging testing, using version control systems, seeking code reviews, and staying up-to-date.
- #machine-learning#data-science#tools#performance#business#testing#automation#data-analysis#statistics#version-control#code-review
Table of contents
Code is not for computers. It’s for peopleAutomate repetitive tasksMaster your toolsManage your environmentThink about program performanceDon’t forget the DRY principle.Leverage testingEncourage the team to use Version Control SystemsAsk for a code reviewStay up-to-dateSummaryReferenceAcknowledgementsSort: