Reinventing notebooks as reusable Python programs | marimo

TL;DR


Summary:
- The article discusses the advantages of using Python over JSON for data processing and serialization.
- It highlights Python's built-in data structures, such as lists, dictionaries, and sets, which provide more flexibility and functionality compared to the limited data structures in JSON.
- The article also mentions Python's powerful libraries and tools, such as NumPy and Pandas, which make data manipulation and analysis more efficient than using JSON alone.

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