Idiomatic 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.
Who is this presentation for?
Analysts, data scientists, data engineers, programmers who need to manipulate tabular data
Prerequisite knowledge:
Python basics: For loops, functions
What you'll learn?
Best practices for writing maintainable Pandas code

Matt is a world-renown expert 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.