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Data Preparation in Python

Data Preparation in Python

Before analyzing data, we spend considerable effort wrangling the data into an analyzable form — creating and recoding variables, merging data sets, filtering and aggregating data, reshaping and more. In this workshop, we’ll learn about data preparation using Python3 and pandas, “providing fast, flexible, and expressive data structures designed to make working with structured (tabular, multidimensional, potentially heterogeneous) and time series data both easy and intuitive.” We’ll also cover working with data types like factors and dates and using conditional logic. This workshop assumes basic experience using Python3 at the level of our Intro to Python workshop.

Date:
Wednesday, February 27, 2019
Time:
2:00pm - 4:00pm
Location:
Brown 133
Campus:
Brown Science & Engineering
Categories:
Data Workshop Workshop
Presenter:
Pete Alonzi
Registration has closed.

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The U.Va. Library is committed to hosting library events that are inclusive and welcoming to all. If you need certain accommodations to participate fully in this event, please contact libevents@virginia.edu.

Event Organizer

Pete Alonzi
Ricky Patterson