Other libraries like PyArrow and Dask handle complex data better, but many users prefer Pandas for ease of use. Additional Context. Using JSON Format Instead of CSV Instead of saving complex data to a ...

The closest competitor is ijson, and JsonSlicer was written to be better.Namely, It's up to 35x faster depending on ijson backend (starting with 3.0, ijson supports comparable performance via yajl2_c ...

Complex JSON: Nesting, objects, and arrays. So far, you’ve only seen examples of JSON used with shallow (or simple) objects. That just means every field on the object holds the value of a primitive.

"44254295" + "3" = "442542953" 44254295 + 3 = 44254298 As a side note, I should mention jq , a cool command line tool that allows you to slice and dice JSON responses directly from curl calls ...