update schedule

Author: saverkamp

PythonForMODS/README.md

@@ -1,7 +1,7 @@
 #Using lxml and modsqual to parse and assess MODS XML¶
 In this tutorial, we will learn the basics of parsing XML with the third-party lxml library and assessing MODS XML metadata with modsqual, a module (in progress!) that simplifies lxml for working with MODS.
 
-We'll we working through the Jupyter notebook included in this directory, lxml_and_modsqual_tutorial.ipynb. If you've already downloaded this repository and you have Jupyter notebook or IPython notebook installed (I recommend the [Anaconda Python](https://www.continuum.io/why-anaconda) distribution) you can open the notebook by opening up a command line/terminal window, navigating to this folder, and entering the command:
+We'll be working through the Jupyter notebook included in this directory, lxml_and_modsqual_tutorial.ipynb. If you've already downloaded this repository and you have Jupyter notebook or IPython notebook installed (I recommend the [Anaconda Python](https://www.continuum.io/why-anaconda) distribution) you can open the notebook by opening up a command line/terminal window, navigating to this folder, and entering the command:
 ```
 ipython notebook
 ```

README.md

@@ -10,10 +10,10 @@ Coordinators: Shawn Averkamp, Sara Rubinow, Matt Miller, Josh Hadro
 Tools and standards abound for creating and enriching metadata, but measuring, monitoring, and managing metadata for the long haul can be a daunting task. What tools are out there to assess the shape of our metadata? How can visualizations show us the gaps or flaws in our description? What can web traffic analytics tell us about the value of our metadata? What is quality, really? We certainly don’t have all the answers, but together we can workshop the questions. Specific topics will be driven by the interest of attendees. The organizers will bring examples of their own work at NYPL in visualization, data analysis with Python, and Google analytics assessment and invite participants to bring their own tools and strategies to share in group discussion, short demos, and hands-on breakout sessions. Takeaways will include: exposure to approaches and tools in use in the field and an expanded network of commiserators to help you through your next metadata audit.
 
 Schedule:  
-1:30 - 1:45 Introductions  
-1:45 - 2:45 [Presentations](https://docs.google.com/spreadsheets/d/1ob4imuFCMi3fMkoIjlASBYWVdDd4qTVJj5xeG2eLEVM/edit#gid=634347005)  
-2:45 - 2:55 Break  
-2:55 - 4:10 [Hands-on sessions](https://docs.google.com/spreadsheets/d/1ob4imuFCMi3fMkoIjlASBYWVdDd4qTVJj5xeG2eLEVM/edit#gid=634347005)  
+1:30 - 1:40 Introductions  
+1:40 - 3:00 [Presentations](https://docs.google.com/spreadsheets/d/1ob4imuFCMi3fMkoIjlASBYWVdDd4qTVJj5xeG2eLEVM/edit#gid=634347005)  
+3:00 - 3:10 Break  
+3:10 - 4:10 [Hands-on sessions](https://docs.google.com/spreadsheets/d/1ob4imuFCMi3fMkoIjlASBYWVdDd4qTVJj5xeG2eLEVM/edit#gid=634347005)  
 4:10 - 4:30 Reporting back and discussion  
 
 ##Before you attend