adding line tutorial [ci skip]

docs/Makefile

@@ -17,7 +17,8 @@ I18NSPHINXOPTS  = $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) .
 .PHONY: help clean html dirhtml singlehtml pickle json htmlhelp qthelp devhelp epub latex latexpdf text man changes linkcheck doctest gettext
 
 default: dirhtml
-TUTORIALS = tutorials/quickstart.rst tutorials/autocorr.rst tutorials/monitor.rst
+TUTORIALS = tutorials/quickstart.rst tutorials/autocorr.rst tutorials/monitor.rst \
+			tutorials/line.rst
 
 tutorials/%.rst: _static/notebooks/%.ipynb tutorials/tutorial_rst.tpl
 	jupyter nbconvert --template tutorials/tutorial_rst --to rst $< --output-dir tutorials

docs/index.rst

@@ -33,23 +33,23 @@ emcee has been used in `quite a few projects in the astrophysical literature
 Basic Usage
 -----------
 
-If you wanted to draw samples from a 10 dimensional Gaussian, you would do
+If you wanted to draw samples from a 5 dimensional Gaussian, you would do
 something like:
 
 .. code-block:: python
 
     import numpy as np
     import emcee
 
-    def lnprob(x, ivar):
+    def log_prob(x, ivar):
         return -0.5 * np.sum(ivar * x ** 2)
 
-    ndim, nwalkers = 10, 100
+    ndim, nwalkers = 5, 100
     ivar = 1. / np.random.rand(ndim)
-    p0 = [np.random.rand(ndim) for i in range(nwalkers)]
+    p0 = np.random.randn(nwalkers, ndim)
 
-    sampler = emcee.EnsembleSampler(nwalkers, ndim, lnprob, args=[ivar])
-    sampler.run_mcmc(p0, 1000)
+    sampler = emcee.EnsembleSampler(nwalkers, ndim, log_prob, args=[ivar])
+    sampler.run_mcmc(p0, 10000)
 
 A more complete example is available in the :ref:`quickstart` tutorial.