KX Community

Find answers, ask questions, and connect with our KX Community around the world.
KX Community Guidelines

Home Forums PyKX PyKX 3.0 is Released!

  • PyKX 3.0 is Released!

    Posted by megan_mcp on November 12, 2024 at 6:26 pm

    We are thrilled to announce a huge milestone in the development of PyKX – version 3.0. The PyKX team has been working hard to deliver a new and improved user experience that’s easier and faster to get started with PyKX than ever before.

    🎉Major Features/Changes

    • Major overhaul in the documentation on code.kx.com/pykx
    • Addition of functionality to allow for development of end-to-end streaming workflows consisting of data-ingestion, persistence and query. This functionality is outlined in-depth here.
    • Update to the PyKX Query API to support a significantly more Python first approach to querying kdb+ in-memory and on-disk databases.
    >>> table = kx.Table(data={
    ...     'sym': kx.random.random(100, ['AAPL', 'GOOG', 'MSFT']),
    ...     'date': kx.random.random(100, kx.q('2022.01.01') + [0,1,2]),
    ...     'price': kx.random.random(100, 1000.0),
    ...     'size': kx.random.random(100, 100) 
    ... })
    >>> table.select(columns=kx.Column('price').max(), where=kx.Column('size') > 5)
    >>> table.update(column=kx.Column('price').wavg(kx.Column('size')).rename('vwap'), by=kx.Column('sym'))
    >>> table.delete(column=kx.Column('sym'))
    >>> table.update(column=(kx.Column('price') * kx.Column('size')).rename('total'))

    Beta features available in the 2.* versions of PyKX have now been migrated to full support.

    • The full list of these features are as follows:
      • Database Creation and Management
      • Compression and Encryption Module
      • Remote Function Execution
      • Streamlit Integration
      • Multi-threaded use of PyKX

    ❓What else?

    • Extension to our integration with Jupyter Notebooks by adding a q-first mode of operation which allows users working between the two languages to more easily automate workflows depending on both
    • Addition of a new utility function kx.util.detect_bad_columns to validate if the columns of a table object conform to the naming conventions supported by kdb+ and highlighting if the table contains duplicate column names raising a warning indicating potential issues and returning True if the table contains invalid columns.
    • When generating IPC connections with reconnection_attempts users can now configure the initial delay between first and second attempts and the function which updates the delay on successive attempts using the reconnection_delay and reconnection_function keywords. See here for a worked example.
    • Two new options added on first initialisation of PyKX to allow users to:
      • Use the path to their already downloaded kc.lic/k4.lic licenses without going through the “Do you want to install a license” workflow
      • Allow users to persist for future use that they wish to use the IPC only unlicensed mode of PyKX, this will persist a file ~/.pykx-config which sets configuration denoting unlicensed mode is to be used.
    • Addition of function kx.util.install_q to allow users who do not have access to a q executable at the time of installing PyKX. See here for instructions regarding its use.
    • Addition of function kx.util.start_q_subprocess to allow a q process to be started on a specified port with supplied initialisation arguments

    🔧Fixes & Improvements
    As with any release PyKX 3.0 provides a significant number of bug fixes and improvements, the following are a subset:

    • Addition of support for help when interacting with q keywords and operators via PyKX
    • Previously loading pykx.q during q startup using QINIT or QHOME/q.q resulted in a segfault or a corruption.
    • The function kx.util.debug_environment now returns the applied configuration values at startup instead of customised values
    • Operations on kx.GroupbyTable objects which have been indexed previously would raise an error indicating invalid key access
    • Attempts to load a database using the kx.DB module previously would raise an nyi error if the path to the database contained a space

    📖Additional Resources

    Blog for PyKX 3.0: https://kx.com/blog/introducing-pykx-3-0/
    First look at PyKX 3.0 video: https://www.youtube.com/watch?v=8pqpQdCpJMg&t=772s&pp=ygUIcHlreCAzLjA%3D

    megan_mcp replied 1 week, 1 day ago 1 Member · 0 Replies
  • 0 Replies

Sorry, there were no replies found.

Log in to reply.