Reliable and Reusable Python Script Sharing with KNIME
Skills:
Modern CV Models53%
Learn how to wrap Python scripts in the KNIME component and how to write KNIME nodes and extensions in Python.
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.
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
Table of Contents:
00:00 – Introduction
01:45 – Intro to low-code/no-code tools
11:50 – Build a low-code solution to compute geo distances
28:02 – Develop a no-code tool to compute geo distances
45:10 – QnA
--
Presentation Slides: https://info.datasciencedojo.com/hubfs/Reliable%20and%20Reusable%20Python%20Script%20Sharing%20with%20KNIME.pdf
References:
[1] Data Scientist, The Sexiest Job of the 21st Century - Harvard Business Review: https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century
[2] Many Data Scientist Quitting Their Job – KDNuggets: https://www.kdnuggets.com/2022/03/many-data-scientists-quitting-jobs.html
[3] Is Data Scientist still the Sexiest Job of the 21st Century - Harvard Business Review: https://hbr.org/2022/07/is-data-scientist-still-the-sexiest-job-of-the-21st-century
[4] The AI Hierarchy of Needs - Hackernoon – Medium: https://medium.com/hackernoon/the-ai-hierarchy-of-needs-18f111fcc007
[5] Low Code Brings Business and Data Sc
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Chapters (5)
Introduction
1:45
Intro to low-code/no-code tools
11:50
Build a low-code solution to compute geo distances
28:02
Develop a no-code tool to compute geo distances
45:10
QnA
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