You can add a TOC manually with Markdown and HTML. Here's how I have been adding:

Create TOC at top of Jupyter Notebook:

## TOC:
* [First Bullet Header](#first-bullet)
* [Second Bullet Header](#second-bullet)

Add html anchors throughout body:

## First Bullet Header <a class="anchor" id="first-bullet"></a>

code blocks...

## Second Bullet Header <a class="anchor" id="second-bullet"></a>

code blocks...

It may not be the best approach, but it works. Hope this helps.

Here is one more option without too much JS hassle: https://github.com/kmahelona/ipython_notebook_goodies

How about using a Browser plugin that gives you an overview of ANY html page. I have tried the following:

• 
  HTML 5 Outliner for Chrome


• 
  Headings Map for Firefox

They both work pretty well for IPython Notebooks. I was reluctant to use the previous solutions as they seem a bit unstable and ended up using these extensions.

I recently created a small extension to Jupyter named jupyter-navbar. It searches for headers written in markdown cells, and displays links to them in the sidebar in a hierarchical fashion. The sidebar is resizable and collapsible. See screenshot below.

It is easy to install, and takes advantage of the 'custom' JS and CSS codes that get executed whenever a notebook is opened, so you don't need to manually run it.

There are now two packages that can be used to handle Jupyter extensions:

1. jupyter_contrib_nbextensions that installs extensions, including table of contents;




2. jupyter_nbextensions_configurator that provides graphical user interfaces for configuring which nbextensions are enabled (load automatically for every notebook) and provides controls to configure the nbextensions' options.

UPDATE:

Starting from recent versions of jupyter_contrib_nbextensions, at least with conda you don't need to install jupyter_nbextensions_configurator because it gets installed together with those extensions.

Here is my approach, clunky as it is and available in github:

Put in the very first notebook cell, the import cell:

from IPythonTOC import IPythonTOC

toc = IPythonTOC()

Somewhere after the import cell, put in the genTOCEntry cell but don't run it yet:

''' if you called toc.genTOCMarkdownCell before running this cell, 
the title has been set in the class '''

print toc.genTOCEntry()

Below the genTOCEntry cell`, make a TOC cell as a markdown cell:

<a id='TOC'></a>

#TOC

As the notebook is developed, put this genTOCMarkdownCell before starting a new section:

with open('TOCMarkdownCell.txt', 'w') as outfile:

 outfile.write(toc.genTOCMarkdownCell('Introduction'))

!cat TOCMarkdownCell.txt

!rm TOCMarkdownCell.txt

Move the genTOCMarkdownCell down to the point in your notebook where you want to start a new section and make the argument to genTOCMarkdownCell the string title for your new section then run it. Add a markdown cell right after it and copy the output from genTOCMarkdownCell into the markdown cell that starts your new section. Then go to the genTOCEntry cell near the top of your notebook and run it. For example, if you make the argument to genTOCMarkdownCell as shown above and run it, you get this output
to paste into the first markdown cell of your newly indexed section:

<a id='Introduction'></a>

###Introduction

Then when you go to the top of your notebook and run genTocEntry, you get the output:

[Introduction](#Introduction)

Copy this link string and paste it into the TOC markdown cell as follows:

<a id='TOC'></a>

#TOC

[Introduction](#Introduction)

After you edit the TOC cell to insert the link string and then you press shift-enter, the link to your new section will appear in your notebook Table of Contents as a web link and clicking it will position the browser to your new section.

One thing I often forget is that clicking a line in the TOC makes the browser jump to that cell but doesn't select it. Whatever cell was active when we clicked on the TOC link is still active, so a down or up arrow or shift-enter refers to still active cell, not the cell we got by clicking on the TOC link.

As Ian already pointed out, there is a table-of-contents extension by minrk for the IPython Notebook. I had some trouble to make it work and made this IPython Notebook which semi-automatically generates the files for minrk's table of contents extension in Windows. It does not use the 'curl'-commands or links, but writes the *.js and *.css files directly into your IPython Notebook-profile-directory.

There is a section in the notebook called 'What you need to do' - follow it and have a nice floating table of contents : )

Here is an html version which already shows it:
http://htmlpreview.github.io/?https://github.com/ahambi/140824-TOC/blob/master/A%20floating%20table%20of%20contents.htm

Introduction

As @Ian and @Sergey have mentioned, nbextensions is a simple solution. To elaborate their answer, here is a few more information.

What is nbextensions?

The nbextensions contains a collection of extensions
that add functionality to your Jupyter notebook.

For example, just to cite a few extensions:

• 
  

  Table of Contents

  
  
  

  

  
  


• 
  

  Collapsible headings

  
  
  

  

  
  

Install nbextensions

The installation can be done through Conda or PIP

# If conda:
conda install -c conda-forge jupyter_contrib_nbextensions
# or with pip:
pip install jupyter_contrib_nbextensions

Copy js and css files

To copy the nbextensions' javascript and css files into the jupyter server's search directory, do the following:

jupyter contrib nbextension install --user

Toggle extensions

Note that if you are not familiar with the terminal, it would be better to install nbextensions configurator (see the next section)

You can enable/disable the extensions of your choice. As the documentation mentions, the generic command is:

jupyter nbextension enable <nbextension require path>

Concretely, to enable the ToC (Table of Contents) extension, do:

jupyter nbextension enable toc2/main

Install Configuration interface (optional but useful)

As its documentation says, nbextensions_configurator provides config interfaces for nbextensions.

It looks like the following:

To install it if you use conda:

conda install -c conda-forge jupyter_nbextensions_configurator

If you don't have Conda or don't want to install through Conda, then do the following 2 steps:

pip install jupyter_nbextensions_configurator
jupyter nbextensions_configurator enable --user