Arrowdantic 0.1.0 released
Hi,

I am announcing the release of [arrowdantic](https://pypi.org/project/arrowdantic/):

Arrowdantic is a small Python library backed by a
[mature Rust implementation](https://github.com/jorgecarleitao/arrow2) of Apache Arrow that can interoperate with
* [Parquet](https://parquet.apache.org/)
* [Apache Arrow](https://arrow.apache.org/) and 
* [ODBC](https://en.wikipedia.org/wiki/Open_Database_Connectivity) (databases).

It has a similar performance and higher safety (e.g. no segfaults) than pyarrow.

It supports reading from and writing to ODBC compliant databases at
likely similar performance as [`turbodbc`](https://turbodbc.readthedocs.io/en/latest/) and it does not require conda to install.

This package is particularly suitable for environments such as AWS Lambda - it takes 13M of disk space, compared to 82M taken by pyarrow.

## Features

* declare and access Arrow-backed arrays (integers, floats, boolean, string, binary)
* read from and write to Apache Arrow IPC file
* read from and write to Apache Parquet
* read from and write to ODBC-compliant databases (e.g. postgres, mongoDB)

It is not intended for OLAP type of queries (Pandas, Polars and many others serve this purpose better).

There is still work to support more types (e.g. datetimes, python dictionaries), etc, but the gist is there - a small utility to lower the barrier to interoperate the Arrow format with Parquet, Arrow and ODBC.

Looking forward for feedback!