07-11, 08:00–12:00 (America/Chicago), Classroom 106
Pandas can be tricky, and there is a lot of bad advice floating around. This tutorial 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.
We will discuss:
- Proper types
- Chaining
- Aggregation
- Debugging
Are you confused or frustrated with Pandas? Or maybe your own Pandas code when you come back to it later, you find it confusing or difficult to work with.
I've taught Pandas to thousands in Corporate settings, Universities, and Virtually. I've also seen the bad code that my students write and have strong opinions on how to correct it.
This workshop assumes you know some Pandas and want to apply idiomatic constructs to existing code. There will be some lecture and then breakout time to apply the constructs on your own:
We will cover
- Types
- Chaining
- Mutation
- Aggregation
- Debugging
Basic experience with Pandas, Python, and Jupyter recommended
Installation Instructions –
Matt is a corporate trainer, author, and consultant on Python and Data Science. He has a CS degree from Stanford University. He is a best-selling author on Python and Data subjects. His books: Effective Pandas, Illustrated Guide to Learning Python 3, Intermediate Python, Learning the Pandas Library, and Effective PyCharm have all been best-selling books on Amazon. He just published Machine Learning Pocket Reference and Pandas Cookbook (Second Edition). He has taught courses at large companies (Netflix, NASA, Verizon, Adobe, HP, Exxon, and more), Universities (Stanford, University of Utah, BYU), as well as small companies. He has been using Python since 2000 and has taught thousands through live training both online and in person.