Yvo Putter

+3 at least for this feature request, our team would also highly appreciate this!

Azure Functions (Consumption Plan, Linux) also cannot install turbodbc through requirements.txt, probably missing the non-pythonic dependencies. I'm all new to this, but I came across conda-press and conda-smithy, maybe that...

Maybe you could try converting your pandas dataframe to a list of numpy maskedarrays (one for each column), I think this is mentioned in the [turbodbc docs](https://turbodbc.readthedocs.io/en/latest/pages/advanced_usage.html#using-numpy-arrays-as-query-parameters). A rough (incomplete)...

Also waiting for this, as turbodbc fails with pip (cannot find wheel, so tries to build, but then fails on dependence pybind11, https://github.com/blue-yonder/turbodbc/issues/59)

Also waiting for this, as turbodbc fails with pip (cannot find wheel, so tries to build, but then fails on dependence pybind11, https://github.com/blue-yonder/turbodbc/issues/59)