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| 📅 Today’s Picks |
Pydantic v2.12: Skip Computed Fields During Serialization
Problem:
By default, Pydantic’s model_dump() serializes computed fields alongside the base fields used to derive them.
This duplicates data and increases API response sizes.
Solution:
Pydantic v2.12 adds the exclude_computed_fields parameter to model_dump().
This lets you keep computed fields for internal use while excluding them from API responses.
| ⭐ Related Post |
Faster Polars Queries with Programmatic Expressions
Problem:
When you want to use for loops to apply similar transformations, each Polars with_columns() call processes sequentially.
This prevents the optimizer from seeing the full computation plan.
Solution:
Instead, generate all Polars expressions programmatically before applying them together.
This enables Polars to:
- See the complete computation plan upfront
- Optimize across all expressions simultaneously
- Parallelize operations across CPU cores
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