Partial application creates a localized callable from an existing function by pre-filling shared arguments. It suits projects that repeatedly call the same function with fixed model and output parameters. section 7.5 section 7.5.2
Localize a project-specific function
from functools import partial run_stats_model_a = partial( run_stats_model, model="model_a", output_path="project_a/stats/", ) run_stats_model_a("dataset_a") # output: 123 The localized callable keeps the project-specific arguments, so each call supplies only the dataset. Separate partial functions can serve separate projects. section 7.5.2 section 7.5.3
from functools import partial
run_stats_model_a = partial(run_stats_model, model="model_a", output_path="project_a/stats/")
run_stats_model_a("dataset_a")
# output: 123
Inspect the focused implementation pattern for creating and calling a partial function. section 7.5.2
Use partial application when:
- Several calls repeat the same arguments while varying one input, such as datasets across a project. section 7.5
- You want a readable localized function instead of repeatedly writing the full calling signature. section 7.5.2
- You want to avoid manually rewriting a wrapper function that fixes the shared parameters. section 7.5.2
