14 мая 2021 г. · DuckDB, a free and open source analytical data management system, can efficiently run SQL queries directly on Pandas DataFrames. SQL on Pandas · SQL on Pandas Performance

Pandas DataFrames stored in local variables can be queried as if they are regular tables within DuckDB. import duckdb import pandas # Create a Pandas ...

AS and INSERT INTO can be used to create a table from any query. We can then create tables or insert into existing tables by referring to referring to the ...

The result of a query can be converted to a Pandas DataFrame using the df() function. import duckdb # read the result of an arbitrary SQL query to a Pandas ...

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 ... I used duckdb and happen to like the idea of writing sql ... - Reddit What is DuckDB Used For? : r/dataengineering - Reddit Другие результаты с сайта www.reddit.com

8 июн. 2023 г. · DuckDB is way more versatile than Polars or Pandas. The reason is that the scope of DuckDB is just bigger, it's a full OLAP database and it has ...

2 сент. 2024 г. · Speed. DuckDB in many areas is significantly faster than Pandas at data loading, processing, and analysis. This is partly because it can use all ...

DuckDB offers a relational API that can be used to chain together query operations. These are lazily evaluated so that DuckDB can optimize their execution.

25 сент. 2024 г. · Dear duckDB team, I used to deal with duckdb 1.0.0. With this version, using a dataframe as a table is easy, and within a function.

11 апр. 2024 г. · Querying with DuckDB. DuckDB will automatically detect a dataframe based on variable name, so you can query it directly using duckdb.sql() .