Tag: data-engineering

Prevent excessive API calls by debouncing user input in search fields.

Bypass the GIL and utilize all CPU cores for compute-intensive tasks.

Cache expensive function results automatically with the built-in cache decorator.

Switch to PyArrow-backed DataFrames for faster operations and lower memory usage.

Speed up CI builds by caching package manager dependencies between runs.

Move CPU-intensive tasks off the main thread to keep the UI responsive.