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#ibisproject — Public Fediverse posts

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  1. If you are a #dplyr user and need to work with large data systems that are not supported in #rstats, you may want to give #IbisProject a try.

    We wrote a guide: "Ibis for dplyr users" to help get you started:

    ibis-project.org/ibis-for-dply

    If you have suggestions to improve this guide, please reach out on GitHub (github.com/ibis-project/ibis)

  2. In the afternoon we will also show how to use #IbisProject & #DuckDB to efficiently "sessionize" an event log to extract time-to-failure training data implicitly encoded in heartbeat-style events.

    This tutorial will be very hands-on but also packed with methodological insights.

    Hoping to meet you at #JupyterCon!

  3. Congratulations to the Ibis Project, which hit 280K downloads in October 2022!

    Looking forward to the new features coming with Ibis 4.0 early next year - "Version 4.0 will also bring the read function, allowing users to read files using the default backend (currently DuckDB) without spinning up a connection."

    voltrondata.com/resources/upda

    #ibis #ibisdata #ibisproject #duckdb

  4. @damoncroberts you might want to have a look at ibis-project.org/ which offers a lazy dataframe Python API with duckdb as the default backend but also implements backends for many SQL databases (clickhouse, postgresql, sqlite, bigquery...) or dataframe libraries (pandas, dask, PySpark, polars...)

    #ibisproject #pydata