Tutuorial 0b: Introduction to Jupyter notebooks

This tutorial was generated from a Jupyter notebook. You can download the notebook here.

The first thing we'll do, discussed later, is import all the modules we'll need. You should in general do this at the very beginning of each notebook, and in fact each .py file you write.

In [1]:
# Imports from __future__ in case we're running Python 2
from __future__ import division, print_function
from __future__ import absolute_import, unicode_literals

# Our numerical workhorses
import numpy as np
import scipy.integrate

# Import pyplot for plotting
import matplotlib.pyplot as plt

# Seaborn, useful for graphics
import seaborn as sns

# Import Bokeh modules for interactive plotting
import bokeh.io
import bokeh.mpl
import bokeh.plotting

# Magic function to make matplotlib inline; other style specs must come AFTER
%matplotlib inline

# This enables SVG graphics inline.  There is a bug, so uncomment if it works.
# %config InlineBackend.figure_formats = {'svg',}

# This enables high resolution PNGs. SVG is preferred, but has problems
# rendering vertical and horizontal lines
%config InlineBackend.figure_formats = {'png', 'retina'}

# JB's favorite Seaborn settings for notebooks
rc = {'lines.linewidth': 2, 
      'axes.labelsize': 18, 
      'axes.titlesize': 18, 
      'axes.facecolor': 'DFDFE5'}
sns.set_context('notebook', rc=rc)
sns.set_style('darkgrid', rc=rc)

# Set up Bokeh for inline viewing
bokeh.io.output_notebook()