Lightning Talks - Saturday session.
summary
A rapid-fire set of demos hits concrete outcomes: a Jupyter tweak that swaps CodeMirror themes and fonts (no Windows support yet); an astrodynamics script that computes Rosetta/ExoMars trajectories in pure Python with a numba speedup; a sklearn-pandas FrameMapper that plugs DataFrame columns into pipelines; a citybikes library covering 400 cities and noting Madrid is absent because city lacks open data; DEAP for genetic algorithms and a CartoDB pipeline that joins Drive CSVs into a live behavior map.
AI-written summary · about
chapters (8)
- 0:00Lightning Talks format
- 0:56Jupyter Notebooks with CodeMirror
- 5:41Astrodynamics with PolySciPy
- 11:17Pandas preprocessing with Cyclone
- 16:34CityBikes real-time data
- 21:10Aerodynamic optimization with GA
- 27:32Customer dashboards with CartoDB
- 34:07Bokeh for data visualization








