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index.md

@@ -4,6 +4,7 @@ title: Home
 nav_order: 1
 description: "Working with git and GitHub in Data Science."
 permalink: /
+last_modified_date: "2025-01-20 02:13AM"
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 # `git` in Data Science
@@ -36,7 +37,7 @@ Source control, also known as "version control," is the process of tracking chan
 
 ## Source Control in Data Science
 
-Data aggregation, cleaning, pipelines and ML models all rely on software in order to operate. Responsible software management depends on well-managed code, versioning, prioritizing bugs, features, and user issues. Further, modern platforms and infrastructure tend to favor code-driven tests, builds, deployments, and management. Code can be used to define all the layers of effort across teams of engineers and data scientists.
+Data aggregation, cleaning, pipelines and ML models all rely on software in order to operate. Responsible software management depends on well-managed code, versioning, prioritizing bugs, features, and user issues. Working at scale, modern platforms and infrastructure tend to require code-driven tests, builds, deployments, and management. Code can be used to define all the layers of effort across teams of engineers and data scientists.
 
 Which is to say: Code is fundamental to our work, and it would be risky, inefficient, and impractical not to use source control.