This repository contains the instructional slides, data, and code from the September 13th, 2016 Tucson AZ Python Meetup & September 28th, 2016 Tucson Data Science Meetup Plotly demos.

Created by Asher Baltzell (@asherkhb) and Blake Joyce (@bjoyce3).

Description of contents...

• README.md
  • This documentation.
• 2016-09-13_python-presentation.pdf
  • Python Meetup instructional presentation giving overview of genetics & getting started tips for Plot.ly & Python.
• 2016-09-28_datascience-presentation.pdf
  • Data Science Meetup instructional presentation giving overview of genetics & getting started tips for Plot.ly in Python & R.
• example0.py
  • Example code from 2016-09-13_python-presentation.pdf.
• plotly-demo.ipynb
  • IPython Jupyter notebook from the 2016-09-13 Python Tucson meetup containing getting started instructions & two case examples focused on genomics data.
• plotly-help-demo.ipynb
  • IPython Jupyter notebook containing information on getting more help with Plotly & docstring query examples.
• datasci-demo.ipynb
  • IPython Jupyter notebook containing demo from 2016-09-28 Data Science Tucscon meetup.
• mutation-data.txt
  • Data for plotly-demo.ipynb Example #1: Synonymous Mutation's Plot ("Ks Plot")
• fractbias-data.csv
  • Data for plotly-demo.ipynb Example #2: Fractionation Bias Plot.
• requirements.txt
  • PIP freeze of all packages used in the demonstrations.
  • Please note that these examples all use Python 2.7.11