Overview
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Discover the power of Pandas beyond data science in this 32-minute conference talk from EuroPython 2017. Explore how experienced Python developers can leverage the Pandas library to overcome performance limitations and enhance their coding capabilities. Follow along with a live Jupiter Notebook demonstration showcasing typical Pandas usage, and learn about Python's constraints, specialized Python implementations, and how Pandas compares to C. Gain insights into improving performance, understanding the Pandas ecosystem, and applying functional programming concepts like Panda Sway. By the end of this talk, grasp the wide-ranging benefits of incorporating Pandas into your Python toolkit, regardless of your data science background.
Syllabus
Introduction
Disclaimer
About me
Python
BlueVine
Why Pandas
Python vs Pandas
Python limits
Specialized Python
Python vs C
What is pandas
How to improve performance
Ecosystem
Demo
Functionality
Examples
Panda Sway
Panda Sway vs useapply
Other benefits
Summary
Taught by
EuroPython Conference