Python/v3 > Gallery of IPython Notebooks

Suggest an edit to this page

Gallery of IPython Notebooks in Python/v3

Get started with IPython notebooks with this set of examples. A collection of practical IPython notebooks for interactive graphing with Plotly, data science, technical computing, and more.

Note: this page is part of the documentation for version 3 of Plotly.py, which is not the most recent version.
See our Version 4 Migration Guide for information about how to upgrade.

Instructions on how to install Plotly's Python package can be found on the Plotly for Python getting started page.
Instructions on how to install IPython can be found at http://ipython.org/install.html.

Science and Engineering

• Principal Component Analysis
  View Tutorial
• 2D Kernel Density Distributions
  View Tutorial
• Visualizing Biological Data
  View Tutorial
• Survival Analysis
  View Tutorial
• Plotting Density of States
  View Tutorial
• Visualizing EEG and MEG Data
  View Tutorial
• Making Bézier Triangular Patches
  View Tutorial
• Bicycle Control Design
  View Tutorial
• Plotting Networks
  View Tutorial

Civic Data

• Baltimore Vital Signs
  View Tutorial
• Montreal 2013 Bikeshare Data
  View Tutorial
• Scoreboards for Republican Presidential Candidates
  View Tutorial

Finance

• Quandl and Bloomberg
  View Tutorial
• Markowitz Optimization
  View Tutorial