10 апр. 2024 г. · You can execute SQL in Pandas as well or even go back and forth between DuckDB and Pandas because DuckDB will convert the dataframe type. They ...

1 нояб. 2024 г. · DuckDB is super nice and versatile. In python I still much prefer polars just because IDE support ist soooo much nicer with linting, autocomplete and ...

4 мая 2023 г. · My favorite feature of duckdb is its ability to do custom join match conditions. Blows both pandas and polars out of the water in this regard.

10 дек. 2023 г. · It seems duckdb gives a SQL like interface to pandas, but is that all it does? Any trade off between just using pandas semantics as opposed to writing a raw ...

4 июн. 2022 г. · DuckDB is phenomenal. It's almost completely replaced Pandas for me. Also, due to vectorization, it can query Pandas dataframes faster than Pandas itself.

5 июн. 2024 г. · Duckdb has a mysql extension to read and write directly. I'm not sure if it will be faster than loading into pandas, but it'll save you some steps.

11 февр. 2024 г. · I use DuckDB heavily for pandas dataframes transformation using sql. The aggregation functions on DuckDB are fast for a decent sized dataframe.

9 авг. 2024 г. · It has a very good macro capability for sql. And duckdb has a functional interface, where you transform data similar to the style of spark or ...

6 дней назад · I already had a comparison with Pandas, but now I have it for all of them. My findings: A purpose-built technology (here OLAP-style queries with ...

10 мая 2024 г. · DuckDB is strictly more performance than pandas (by a lot) and for small-moderate sized jobs more performant than spark, before you can really ...