Jupyter

    1. In [1]: %load_ext pyprql.magic
    2. In [2]: !curl -sL https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv -o penguins.csv
    3. In [3]: %prql duckdb://
    4. species island bill_length_mm bill_depth_mm flipper_length_mm body_mass_g sex
    5. 0 Adelie Torgersen 39.1 18.7 181 3750 MALE
    6. 1 Adelie Torgersen 39.5 17.4 186 3800 FEMALE
    7. 2 Adelie Torgersen 40.3 18.0 195 3250 FEMALE
    8. In [5]: %%prql
    9. ...: from `penguins.csv`
    10. ...: take 3
    11. ...:
    12. ...:
    13. Out[5]:
    14. species island bill_length_mm bill_depth_mm flipper_length_mm body_mass_g sex
    15. 0 Adelie Torgersen 40.3 18.0 195 3250 FEMALE
    16. 1 Adelie Torgersen 42.0 20.2 190 4250 None