Effective Pandas


Pandas can be tricky, and there is a lot of bad advice floating around.

This talk will cut through some of the biggest issues I've seen with Pandas code after working with the library for a while and writing three books on it.

Do you struggle writing Pandas code?
Do you spend too much time trying to understand code that you have previously written?
Would you like to write pandas code that your colleagues can easily understand and use?
Would you like to write pandas code that you can easily use in production?

This talk will give some best practices that will enable you to write better Pandas code.

We will discuss:
* Proper types
* Chaining
* Aggregation
* Debugging
and more


Matt Harrison has been using Python since 2000. He runs MetaSnake, a Python and Data Science consultancy and corporate training shop. In the past, he has worked across the domains of search, build management and testing, business intelligence, and

He has presented and taught tutorials at conferences such as Strata, SciPy, SCALE, PyCON, and OSCON as well as local user conferences.

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Consent to display content from - Youtube
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google