In large organizations, higher productivity results from collaboration on preferred tools. Regardless of the tools your data team prefers, KNIME offers a solution for fast and productive collaboration! Python scripts can now be made available to all the KNIME users in the organization in a reliable and user-friendly way.
In the first part of this webinar, we will focus on a low-code approach. You will learn how to wrap Python scripts in the KNIME component, – KNIME’s native solution for sharing and reusing bundled functionalities.
In the second part of the webinar, we will go full code and show the Pythonists how to write KNIME nodes and extensions in Python. This new capability offers data scientists an easy coding framework to wrap existing and custom Python libraries, define node configuration, and execution, as well as dialog definition via a Pythonic API.
In this session you will learn:
- How to build reliable and reusable components with Python scripts (low code)
- How to write KNIME nodes and extensions completely in Python (full code)
- To boost collaboration across the organization
- To share your work with KNIME users in a friendly and effective way