Spotfire

* Support the code signing of built SPK packages with certificates in Windows system certificate stores. (58)

* Update the NumPy requirement to exclude 2.0 releases based on the expected C ABI break as part of that release. (53)

* Do not fail with an "unknown dtype" when exporting [timezone aware](https://docs.python.org/3/library/datetime.html#determining-if-an-object-is-aware-or-naive) datetime objects to SBDF. (30)
* Reduce the logging of table and column metadata to the data function flow's debug logs to avoid overly-large log output. (48)

* Correctly export PIL images, Matplotlib figures, and Seaborn grids. (42)

Performance Improvements

* The `spotfire.sbdf` module has been rewritten as a native C extension using [Cython](https://cython.org), which allows using the [C Library for TIBCO Spotfire Binary Data Format](https://github.com/TIBCOSoftware/spotfire-sbdf-c) (vendored into the `vendor/sbdf-c` directory) instead of the original pure-Python implementation. This change improves performance and allows the reading and writing of SBDF files that are written using RLE encoding (which was not implemented for the pure-Python implementation). (#36)
* With the introduction of Cython support in `setup.py`, the `spotfire.codesign` module has been rewritten using Cython.
* To work around the deprecation of `msilib` in Python 3.11, the `spotfire.cabfile` module has been rewritten using Cython to directly call the Windows API to create cabinet files. Non-Windows platforms will raise `OSError` exceptions on object creation instead of the current behavior of conditionally defining the class. (29)

As a result of these architectural changes, the version number of this package has been incremented to 2.0.0.

Creating SPK Packages

* [User installed](https://pip.pypa.io/en/latest/user_guide/#user-installs) packages (installed with `pip install --user`) could override the `spotfire` package that is deployed via the Spotfire server, potentially installing an older version that does not contain support for required features. Now, when you build an interpreter SPK package (using `python -m spotfire.spk python ...`), the `spotfire` package is installed into a separate directory, which is then automatically inserted into the Python `sys.path`, before any "site-packages" directory, on interpreter startup. (39)
* When you build a packages SPK package (using the command `python -m spotfire.spk packages ...`), wheels with data directories (such as `xgboost` 1.7.5 on Windows) no longer result in SPK packages missing Python files from the wheel. (40)

Exporting Data
* When exporting data, use a method that is not deprecated by Pandas 1.5.0. (28)
* Better handle exporting nullable column dtypes like `Float64`. (25)
* Add support for exporting GeoPandas `GeoDataFrames` with `MultiLineString` geometry as 'PolyLines' to Spotfire. (19)

Creating SPK Packages
* Use a better parser for requirements as provided by `setuptools`/`pkg_resources`. (4)
* Allow both analyst and server SPK information to be stored in the requirements file brand. (5)