1 November 2013 - 12:10“Introducing Python for Data Science” talk at SkillsMatter
- High Performance Python (profiling, line_profiler, memory_profiler, Cython, Numba)
- Natural Language Processing and Machine Learning (scikit-learn for brand detection) – based on my longer talk at PyConUK a couple of months back
- Solving the Titanic Kaggle competition using an IPython Notebook (with scikit-learn and Pandas) [IPython notebook to follow] – use this github project to get started
- Solving the Future Cities Parking Data Hackathon (Bart Baddeley) – nbviewer for the Notebook and Pandas (based off our earlier write-up)
Since the group is more of a general programming community we wanted to talk at a high level on the various ways that Python can be used for data science, it was lovely to have such a large turn-out and the following pub conversation was much fun.
Ian applies Data Science as an AI/Data Scientist for companies in Mor Consulting, founded the image and text annotation API Annotate.io, co-authored SocialTies, programs Python, authored The Screencasting Handbook, lives in London and is a consumer of fine coffees.