├── .DS_Store ├── MinneAnalytics materials ├── MinneAnalytics Big Data notebook.ipynb ├── Minneanalytics_talk_slides.pdf └── new_york_hotels.csv ├── README.md ├── pyCon materials ├── .DS_Store ├── PyCon presentation.pdf ├── PyCon un-sad Pandas.ipynb └── new_york_hotels.csv └── requirements.txt /.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/s-heisler/pycon2017-optimizing-pandas/HEAD/.DS_Store -------------------------------------------------------------------------------- /MinneAnalytics materials/MinneAnalytics Big Data notebook.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/s-heisler/pycon2017-optimizing-pandas/HEAD/MinneAnalytics materials/MinneAnalytics Big Data notebook.ipynb -------------------------------------------------------------------------------- /MinneAnalytics materials/Minneanalytics_talk_slides.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/s-heisler/pycon2017-optimizing-pandas/HEAD/MinneAnalytics materials/Minneanalytics_talk_slides.pdf -------------------------------------------------------------------------------- /MinneAnalytics materials/new_york_hotels.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/s-heisler/pycon2017-optimizing-pandas/HEAD/MinneAnalytics materials/new_york_hotels.csv -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/s-heisler/pycon2017-optimizing-pandas/HEAD/README.md -------------------------------------------------------------------------------- /pyCon materials/.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/s-heisler/pycon2017-optimizing-pandas/HEAD/pyCon materials/.DS_Store -------------------------------------------------------------------------------- /pyCon materials/PyCon presentation.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/s-heisler/pycon2017-optimizing-pandas/HEAD/pyCon materials/PyCon presentation.pdf -------------------------------------------------------------------------------- /pyCon materials/PyCon un-sad Pandas.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/s-heisler/pycon2017-optimizing-pandas/HEAD/pyCon materials/PyCon un-sad Pandas.ipynb -------------------------------------------------------------------------------- /pyCon materials/new_york_hotels.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/s-heisler/pycon2017-optimizing-pandas/HEAD/pyCon materials/new_york_hotels.csv -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/s-heisler/pycon2017-optimizing-pandas/HEAD/requirements.txt --------------------------------------------------------------------------------