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