Towards Data Science
Following Up on Like-for-Like for Stores: Handling PY
•1 min read•
#python#deployment#compute
Level:Intermediate
For:Data Scientists, AI Engineers, Python Developers
✦TL;DR
This article discusses an extension to the author's previous solution for implementing Like-for-Like (L4L) for stores, addressing new requirements that arose from peer and client discussions. The author aims to provide an updated approach to handling these additional needs, specifically focusing on the Python (PY) aspect of the implementation.
⚡ Key Takeaways
- The original L4L solution for stores required updates based on feedback from peers and clients.
- New requirements were identified, necessitating a revised approach to the implementation.
- The author's updated solution focuses on handling these requirements using Python.
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