What Can We Learn from 750 Billion GitHub Events and 42 TB of Code

What Can We Learn from 750 Billion GitHub Events and 42 TB of Code

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14 of 16

14 of 16

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What Can We Learn from 750 Billion GitHub Events and 42 TB of Code

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  1. 1 Introduction
  2. 2 Who is this data for
  3. 3 GitHub stars
  4. 4 Comparing freecode and tensorflow
  5. 5 Looking at issues and comments
  6. 6 How to start an issue
  7. 7 Data analysis
  8. 8 Top projects
  9. 9 Code
  10. 10 Top imports
  11. 11 Stack Overflow
  12. 12 Feature Requests
  13. 13 Code Analysis
  14. 14 Leading and trailing commas
  15. 15 Conclusion
  16. 16 Running queries

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