Talks

Materials for talks I've given.

Demo of how to use IPython Notebook & Pandas to find out whether people like to cycle when it rains (they don’t).

Hands-on tutorial on how to get started with IPython Notebook and pandas, using 311 calls from NYC open data as an example.

Name		Name	Last commit message	Last commit date
Latest commit History 243 Commits
2013-03-odx		2013-03-odx
2013-04-mtlpy		2013-04-mtlpy
2013-06-pyconca		2013-06-pyconca
2013-09-pydatanyc		2013-09-pydatanyc
2014-01-cusec		2014-01-cusec
2014-02-pyladies		2014-02-pyladies
2014-04-lightningpies		2014-04-lightningpies
2014-04-pycon		2014-04-pycon
2014-05-bangbangcon		2014-05-bangbangcon
2014-06-hackshackers		2014-06-hackshackers
2014-06-mtlpy-scapy		2014-06-mtlpy-scapy
2014-09-pydatanc		2014-09-pydatanc
2014-09-strangeloop		2014-09-strangeloop
2014-10-bigdatamontreal-practice		2014-10-bigdatamontreal-practice
2014-11-bigdatamontreal		2014-11-bigdatamontreal
2015-03-mtlpypracticetalk		2015-03-mtlpypracticetalk
2015-04-pycon		2015-04-pycon
2015-06-rust		2015-06-rust
2016-01-cusec		2016-01-cusec
2016-04-neural-network		2016-04-neural-network
2016-05-neural-nets-bangbangcon		2016-05-neural-nets-bangbangcon
2016-05-stanford		2016-05-stanford
2016-06-neural-nets-pydata-fork		2016-06-neural-nets-pydata-fork
2016-06-neural-nets-pydata		2016-06-neural-nets-pydata
2016-06-poznan		2016-06-poznan
2017-05-stripe		2017-05-stripe
proposals		proposals
.gitignore		.gitignore
.gitmodules		.gitmodules
LICENSE		LICENSE
README.md		README.md

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