Join us for our first PyData Toronto Meetup on Wednesday, July 12 at 7 PM, hosted by HackLab.TO
We are excited to host Stephen Childs who will be discussing data analysis in Python with pandas.
Pandas (http://pandas.pydata.org) is a tool for working with tabular data in Python. It allows you to import data from almost any source, clean, organize and analyze it and save the data to almost any format.
Pandas works well with other packages for dealing with data in Python as well as the built-in Python data structures.
In this hands-on session, we will have a quick tutorial on the basics of using pandas for data analysis and then apply those skills to some real data. Participants at all levels of skill with Python, pandas or data analysis will get something out of the session.
The session will cover:
- Importing from and exporting to a variety of data formats and sources
- Data exploration
- Subsetting data
- Using the index in pandas
- Grouping and aggregating data
- Merging data
- Working with other packages (e.g. scikit-learn)
The easiest way to install pandas on your laptop is to install the Anaconda distribution (https://www.continuum.io/downloads). Download the Python 3.6 version.
Please be on time and bring your laptop.
Speaker:
Stephen Childs has been using Python to analyze economic and education data for 4 years and has recently returned to the GTA from Calgary, where he organized the PyData Calgary meetup (the first one in Canada). He now crunches data for York University using a variety of open source tools. Stephen is a certified Software and Data Carpentry Instructor and works to encourage the adoption of Python and other open source tools among researchers and data analysts.