Better instuctions for running docs notebooks.

docs/README.md

@@ -2,18 +2,21 @@
 
 All of the notebooks are also available as HTML and Markdown files (generated using nbconvert) so you can view them without running Jupyter.
 
-In order to run the [Jupyter Notebooks](https://jupyter.org/index.html) you need Jupyter (obviously) and you should install `Joypy`.  Here's an example using `virtualenv` from the `joypy/` directory:
+In order to run the [Jupyter Notebooks](https://jupyter.org/index.html) you need Jupyter (obviously) and you should install `Joypy`.  Here's an example using `virtualenv` from the project directory:
 
-    virtualenv --system-site-packages <DIRNAME>
+    virtualenv --system-site-packages venv
-    . ./<DIRNAME>/bin/activate
+    source ./venv/bin/activate
+    pip install notebook
     python ./setup.py install
 
 Once that's done you should be able to start Jupyter Notebook server with, e.g.:
 
-    python -n notebook
+    python -m notebook --ip=0.0.0.0
 
 This starts it using the `virtualenv` version of Python so `joy` will be available.  Navigate to the `joypy/docs` directory and the notebooks should be able to import the `notebook_preamble.py` file.
 
+I find I have to include `--ip=0.0.0.0` to workaround a bug where it tries to bind to an IPv6 address, YMMV.
+
 ## Table of Contents
 
 - 1. Basic Use of Joy in a Notebook

docs/fun_with_scan.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -15,7 +15,9 @@
    "source": [
     "# On \"Two Exercises Found in a Book on Algorithmics\"\n",
     "\n",
-    "Bird & Meertens"
+    "Bird & Meertens\n",
+    "\n",
+    "[PDF paper available here](https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.694.2614)"
    ]
   },
   {
@@ -30,7 +32,7 @@
     "\n",
     "> The problem is to find some definition of `scan` as a reduction.  In other words, we have to find some function `f` and an operator `⨂` so that\n",
     "\n",
-    "    ⨂\\x = f(a)⨂f(b)⨂...⨂f(z)"
+    "    ⨁\\x = f(a)⨂f(b)⨂...⨂f(z)"
    ]
   },
   {
@@ -153,7 +155,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {
     "scrolled": false
    },
@@ -179,7 +181,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {
     "scrolled": false
    },
@@ -205,7 +207,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {
     "scrolled": false
    },
@@ -245,7 +247,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -254,7 +256,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -271,7 +273,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -288,7 +290,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -433,7 +435,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython2",
-   "version": "2.7.15"
+   "version": "2.7.12"
   }
  },
  "nbformat": 4,