This is a tool to run notebooks with input values. When you write the notebook,
these are defined in the first code cell, with regular assignments like this:

.. code-block:: python

    stock = 'YHOO'
    days_back = 600

Nbparameterise handles finding and extracting these parameters, and replacing
them with input values. You can then run the notebook with the new values.
This can be used for:

- Batch processing: run the same code on a list of different inputs. See
  ``examples/batch.py``.
- Simple user interfaces: build an input form based on the parameters, and run
  the notebook when the user submits the form. See ``examples/webapp.py`` for
  an implementation of this with an HTML form.

Extra information about the parameters, such as names to display in a user
interface, can be stored in notebook metadata.

Nbparameterise is written in Python 3, but it can handle notebooks that use
Python 2.

Usage:

.. code-block:: python

    import nbformat
    from nbparameterise import extract_parameters, replace_definitions

    with open("Stock display.ipynb") as f:
        nb = nbformat.read(f, as_version=4)

    # Get a list of Parameter objects
    orig_parameters = extract_parameters(nb)

    # Update one or more parameters
    params = parameter_values(orig_parameters, stock='GOOG')

    # Make a notebook object with these definitions;
    # you can then save or execute this.
    new_nb = replace_definitions(nb, params)

This is a tool to run notebooks with input values. When you write the notebook,
these are defined in the first code cell, with regular assignments like this:

.. code-block:: python

    stock = 'YHOO'
    days_back = 600

Nbparameterise handles finding and extracting these parameters, and replacing
them with input values. You can then run the notebook with the new values.
This can be used for:

- Batch processing: run the same code on a list of different inputs. See
  ``examples/batch.py``.
- Simple user interfaces: build an input form based on the parameters, and run
  the notebook when the user submits the form. See ``examples/webapp.py`` for
  an implementation of this with an HTML form.

Extra information about the parameters, such as names to display in a user
interface, can be stored in notebook metadata.

Nbparameterise is written in Python 3, but it can handle notebooks that use
Python 2.

Usage:

.. code-block:: python

    import nbformat
    from nbparameterise import (
        extract_parameters, replace_definitions, parameter_values
    )

    with open("Stock display.ipynb") as f:
        nb = nbformat.read(f, as_version=4)

    # Get a list of Parameter objects
    orig_parameters = extract_parameters(nb)

    # Update one or more parameters
    params = parameter_values(orig_parameters, stock='GOOG')

    # Make a notebook object with these definitions;
    # you can then save or execute this.
    new_nb = replace_definitions(nb, params)

Add missing import for example
Add missing import for example
