IPython Notebook, now known as Jupyter Notebook, provides a highly interactive computing environment that enables researchers, data scientists, and developers to explore and visualize data. Working with large codebases or exploring unfamiliar libraries often requires understanding the functions and their arguments. This article will guide you on how to view function arguments in IPython Notebook Server 3, with examples and explanations to make the process straightforward.

Using the Built-in Help System

IPython Notebook offers several built-in functionalities to inspect the signature and documentation of functions:

1. Using the Question Mark (`?`)

The `?` operator is one of the simplest and quickest ways to get information about a function. When appended to a function name, it displays the function's signature along with its docstring.

• Kernel Considerations: Ensure that your IPython Kernel is running for these operations to work. Restart the kernel if any issues arise.
• Function Wrappers: For functions wrapped with decorators, direct inspection may not reveal full details. In such cases, refer to actual source code via double question mark `??`.
• Settings Adjustment: In some cases, you can configure Jupyter Notebook extensions like `JupyterLab` to improve inspection and auto-completion features.