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| 📅 Today’s Picks |
Marimo: Keep All Notebook Cells in Sync Without Manual Reruns
Problem:
In Jupyter notebooks, changing an input value doesn’t automatically update dependent cells.
Forget to rerun one cell, and you might make decisions based on outdated results without realizing anything is wrong.
Solution:
Marimo automatically detects changes and re-executes all dependent cells.
When you change a variable like threshold from 50 to 30, every downstream cell that uses it updates immediately.
Build Scalable Pipelines with DuckDB Memory Spilling
Problem:
When datasets exceed available RAM, most tools crash mid-operation.
This forces manual data chunking or expensive hardware upgrades just to complete basic queries.
Solution:
DuckDB automatically spills intermediate results to temporary files when data exceeds configured memory limits.
Key benefits:
- Process datasets larger than RAM without code changes
- Configure memory limits to prevent system crashes
- Automatic disk spillover when memory fills
- No manual chunking or batching required
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