Exploring Science on Twitter with IPython Notebook and Python Pandas
| Project: | ipython notebook, pandas | ||||
Starting with 13.5 million tweets from 2011 containing the word science: How I’ve explored the way people use ‘science’ on Twitter. The IPython notebook (http://ipython.org/notebook.html) is a great tool for research, allowing me to keep notes about my research interleaved with the python code. In addition, the Pandas python data analysis library (http://pandas.pydata.org/) supports working with large data tables with excellent support for time series data.
Slides and ipython notebooks available here - https://github.com/brendam/pyconau2013
Brenda Moon
Brenda is currently completing a PhD in Science Communication at the ANU, where she is using data mining on social media to understand public attitudes toward science and technology. She is a sessional lecturer and tutor at the Australian National Centre for the Public Awareness of Science. In 2012 she won the ANU Award for Excellence in Tutoring or Demonstrating.
She is a keen supporter of open source, open hardware and open science. She is a founding member of MakeHackVoid, a hackerspace community in Canberra. At MHV she has organized Arduino workshops and Arduino days and recently participated in a series of workshops building and flying a quadcopter based on Ardupilot.
Brenda has 29 years experience in Information Technology.
