What Can You Learn from Thousands of Source Files in Github

Explore a comprehensive analysis of Open Source code on Github using Google BigQuery in this 30-minute Devoxx conference talk. Dive into the massive dataset released by Github and Google to uncover insights about programming habits, common dependencies, frequently handled exceptions, and potential coding pitfalls. Follow along as Guillaume Laforge, Developer Advocate at Google Cloud Platform and Apache Groovy PMC chair, demonstrates concrete examples focused on the Groovy language. Learn how to leverage BigQuery for examining file naming conventions, script usage, build tool preferences, and dependency patterns. Gain valuable skills to conduct similar analyses on your preferred programming languages and frameworks, enabling you to better understand and improve your own coding practices.

Introduction
Google BigQuery
How many Groovy files are there
Most frequent Groovy file names
Groovy scripts
Saved queries
Histogram
Transformations
Other interesting functions
Maven vs Gradle
Dependencies