docs(blog-post): pydata performance part 2; polars and datafusion #17163
| Job | Run time |
|---|---|
| 5m 10s | |
| 5m 27s | |
| 3m 25s | |
| 7m 21s | |
| 7m 22s | |
| 6m 20s | |
| 2m 29s | |
| 1m 45s | |
| 9m 58s | |
| 9m 2s | |
| 4m 7s | |
| 2m 13s | |
| 3m 33s | |
| 4m 11s | |
| 2m 19s | |
| 3m 18s | |
| 4m 47s | |
| 9m 54s | |
| 7m 49s | |
| 8m 22s | |
| 7m 34s | |
| 6m 8s | |
| 13m 2s | |
| 5m 4s | |
| 6m 39s | |
| 2m 13s | |
| 2m 58s | |
| 3m 56s | |
| 2m 15s | |
| 4m 14s | |
| 4m 0s | |
| 3m 7s | |
| 6m 3s | |
| 10m 41s | |
| 7m 45s | |
| 8m 59s | |
| 6m 50s | |
| 5m 40s | |
| 4m 51s | |
| 6m 43s | |
| 3m 58s | |
| 4m 59s | |
| 5m 10s | |
| 3m 15s | |
| 6m 4s | |
| 6m 23s | |
| 4m 1s | |
| 5m 48s | |
| 3m 48s | |
| 3m 59s | |
| 5m 22s | |
| 5m 3s | |
| 3m 12s | |
| 2m 32s | |
| 9m 56s | |
| 3m 58s | |
| 4m 23s | |
| 1s | |
| 5h 9m 26s |