~/lightning

Lightning Talks - Saturday session.

Lightningat PyData Madrid 2016 · 2016-03-12..03-13· [python, data-visualization, machine-learning]
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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

  1. 0:00Lightning Talks format
  2. 0:56Jupyter Notebooks with CodeMirror
  3. 5:41Astrodynamics with PolySciPy
  4. 11:17Pandas preprocessing with Cyclone
  5. 16:34CityBikes real-time data
  6. 21:10Aerodynamic optimization with GA
  7. 27:32Customer dashboards with CartoDB
  8. 34:07Bokeh for data visualization
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