Notebook Nanoservice FAQs

Question 1

What are the key features of Notebook Nanoservice?

Accepted Answer

Key features include hot function redefinition, automatic serialization for various data types (including Pandas DataFrames and images), API manifest generation in multiple formats (JSON, Markdown, OpenAPI), and no dependency conflicts.

Question 2

What is Notebook Nanoservice?

Accepted Answer

Notebook Nanoservice allows you to quickly expose functions within a Jupyter or Spark notebook as a REST API, ideal for prototyping and development.

Question 3

Is Notebook Nanoservice suitable for production use?

Accepted Answer

No. This library is designed for ease of development and prototyping purposes only. It is not intended for production environments.

Question 4

How do I install Notebook Nanoservice?

Accepted Answer

You can install Notebook Nanoservice using pip: `pip install notebook-nanoservice`.

Question 5

How do I expose a function in my notebook as an API?

Accepted Answer

Initialize a NanoService with your notebook's global context: `service = NanoService(globals()); service.start()`. Your functions will be accessible via REST endpoints (e.g., http://localhost:5001/api/your_function).

Notebook Nanoservice

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