PyKX 1.6 released

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PyKX 1.6 has been released 

These release notes are also available on the documentation site:

https://code.kx.com/pykx/1.6/changelog.html

 

Additions

  • Added merge_asof to the Pandas like API.

    • See here for details of supported keyword arguments and limitations.

  • Added set_index to the Pandas like API.

    • See here for details of supported keyword arguments and limitations.

  • Added a set of basic computation methods operating on tabular data to the Pandas like API. See here for available methods and examples.

  • pykx.util.debug_environment added to help with import errors.

  • q vector type promotion in licensed mode.

  • Added .pykx.toraw to pykx.q to enable raw conversions (e.g. kx.toq(x, raw=True))

  • Added support for Python 3.11.

    • Support for pyarrow in this python version is currently in Beta.

  • Added the ability to use kx.RawQConnection as a Python based q server using kx.RawQConnection(port=x, as_server=True).

    • More documentation around using this functionality can be found here.

Fixes and Improvements

  • Improved error on Windows if msvcr100.dll is not found

  • Updated q libraries to 2023.04.17

  • Fixed an issue that caused q functions that shared a name with python key words to be inaccessible using the context interface.

    • It is now possible to access any q function that uses a python keyword as its name by adding an underscore to the name (e.g. except can now be accessed using q.except_).

  • Fixed an issue with .pykx.get and .pykx.getattr not raising errors correctly.

  • Fixed an issue where deserializing data would sometimes not error correctly.

  • Users can now add new column(s) to an in-memory table using assignment when using the Pandas like API.

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Thanks for sharing  !