MR for 2.5.2 feature additions

[cmccarthy1]

PyKX 2.5.2 release updates

• Converting PyKX generic lists using the keyword parameter raw=True would previously return incorrect results, the values received being the memory address of the individual elements of the list, this has now been resolved

    === "Behaviour prior to change"
  
            ```python
            >>> a = kx.q('(1; 3.4f; `asad; "asd")')
            >>> a.np(raw=True)
            array([3012581664,      30547, 3012579792,      30547], dtype=uint64)
            ```
  
    === "Behaviour post change"
  
            ```python
            >>> a = kx.q('(1; 3.4f; `asad; "asd")')
            >>> a.np(raw=True)
            array([1, 3.4, b'asad', b'asd'], dtype=object)
            ```
  

• Converting PyKX generic lists using the keyword parameter raw=True when explictly required previously would error indicating that the keyword argument was not supplied. This has been resolved with the parameter now appropriately passed to all items

    === "Behaviour prior to change"
  
            The errors below are truncated for readability
  
            ```python
            >>> kx.q("(1;2;3;`a;2024.01.01T12:00:00)").py(raw=True)
            TypeError: The q datetime type is deprecated, and can only be accessed ..
            >>> kx.q("(1;2;3;`a;2024.01.01T12:00:00)").np(raw=True)
            TypeError: The q datetime type is deprecated, and can only be accessed ..
            >>> kx.q("(1;2;3;`a;2024.01.01T12:00:00)").pd(raw=True)
            TypeError: The q datetime type is deprecated, and can only be accessed ..
            ```
  
    === "Behaviour post change"
  
            ```python
            >>> kx.q("(1;2;3;`a;2024.01.01T12:00:00)").py(raw=True)
            [1, 2, 3, b'a', 8766.5]
            >>> kx.q("(1;2;3;`a;2024.01.01T12:00:00)").np(raw=True)
            array([1, 2, 3, b'a', 8766.5], dtype=object)
            >>> kx.q("(1;2;3;`a;2024.01.01T12:00:00)").pd(raw=True)
            0         1
            1         2
            2         3
            3      b'a'
            4    8766.5
            ```
  

• Use of get method on kx.Table with a str input will now raise a FutureWarning indicating that the return type of this method will change with release 3.0.0. Currently this function returns a kx.Table with a single column, in version 3.0.0 this will return a list/vector containing the content of the column to better align with the Pandas API approach.

    ```python
    >>> import pykx as kx
    >>> tab = kx.Table(data={'x': [1, 2, 3], 'y': [2, 3, 4]})
    >>> tab.get('x')
    /usr/python/3.12/lib/python3.12/site-packages/pykx/pandas_api/pandas_indexing.py:42: FutureWarning:
  
            Single column retrieval using 'get' method will return a vector/list object in release 3.0+
            To access the vector/list directly use table['column_name']
      warnings.warn("Single column retrieval using 'get' method will a return vector/list object "
    pykx.Table(pykx.q('
    x
    -
    0
    1
    2
    '))
    >>> tab['x']
    pykx.LongVector(pykx.q('1 2 3'))
    ```
  

• Fix to issue where use of kx.SymbolAtom with __getitem__ method on kx.Table objects would return a table rather then vector/list. The return now mirrors the expected return which matches str type inputs

    === "Behaviour prior to change"
  
            ```python
            >>> import pykx as kx
            >>> tab = kx.Table(data={'x': [1, 2, 3], 'y': ['a', 'b', 'c']})
            >>> tab['x']
            pykx.LongVector(pykx.q('1 2 3'))
            >>> tab[kx.SymbolAtom('x')]
            pykx.Table(pykx.q('
            x
            -
            1
            2
            3
            '))
            ```
  
    === "Behaviour post change"
  
            ```python
            >>> import pykx as kx
            >>> tab = kx.Table(data={'x': [1, 2, 3], 'y': ['a', 'b', 'c']})
            >>> tab['x']
            pykx.LongVector(pykx.q('1 2 3'))
            >>> tab[kx.SymbolAtom('x')]
            pykx.LongVector(pykx.q('1 2 3'))
            ```
  

• Reworked Table.std() method to better handle edge cases relating to mixed columns and nulls. Now matching Pandas results. This addresses issues raised here.

• Fix to issue where loading PyKX on Windows from 2.5.0 could result in a users working directory being changed to site-packages/pykx.