fix titles and some fixmes

Author: jenna-jordan

_episodes/01-create-new-environment.md

@@ -1,5 +1,5 @@
 ---
-title: "Create a new environment"
+title: "Create a New Environment"
 teaching: 10
 exercises: 0
 questions:
@@ -21,6 +21,7 @@ This workshop utilizes some Python packages (such as Plotly) that cannot be inst
 * jupyterlab
 
 ### A note about anaconda
+#### [XKCD #1987](https://xkcd.com/1987/): Python Environment
 
 ![XKCD 1987: Python Environment](../fig/xkcd_python_environment.png)
 

_episodes/05-refactoring-for-flexibility.md

@@ -1,5 +1,5 @@
 ---
-title: "Refactoring code for flexiblity (prepping for widgets)"
+title: "Refactoring Code for Flexibility (Prepping for Widgets)"
 teaching: 15
 exercises: 0
 questions:

_extras/guide.md

@@ -1,6 +1,18 @@
 ---
 title: "Instructor Notes"
 ---
-FIXME
+
+### If you have limited time
+
+If this lesson should last for strictly 1 hour, it is highly recommended that you have learners complete Episode 1 (Create a New Environment)
+before the lesson begins, as a part of Setup.
+
+### This lesson assumes familiarity with python and pandas
+
+It is important to note that this lesson was designed to follow the [Plotting and Programming in Python](http://swcarpentry.github.io/python-novice-gapminder/index.html) lesson.
+
+### See all of the code
+
+If you want to see all of the finished code as it should be after the lesson is completed (.ipynb and .py files), they are available [in the code folder](https://github.com/jenna-jordan/data-visualization-workshop/tree/gh-pages/code).
 
 {% include links.md %}

index.md

@@ -15,7 +15,8 @@ This workshop lesson is an introduction to making interactive data visualization
 > 2. Learners should have Anaconda installed on their machines, as specified in the [setup for Plotting and Programming in Python](http://swcarpentry.github.io/python-novice-gapminder/setup.html).
 > 3. Learners should be comfortable with using the command line.
 > 4. Learners should have a Jupyter Lab & Streamlit compatible web browser installed (Google Chrome, Firefox, or Safari).
-> 5. (Optional) Learners should have a Streamlit Sharing account - [request one here](https://streamlit.io/sharing-sign-up) - if they wish to deploy and publish their visualization web app.
+> 5. Learners should have downloaded the required files ([data_viz_workshop.zip]({{page.root}}/files/data_viz_workshop.zip)) as specified in the [Setup](setup.md)
+> 6. (Optional) Learners can request a Streamlit Sharing account - [request one here](https://streamlit.io/sharing-sign-up) - if they wish to deploy and publish their visualization web app.
 {: .prereq}
 
 [anaconda]: https://www.anaconda.com/