Write Pythonic Code for Better Data Science (webcast)

Published: 29 November 2016
on channel: Data School

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In this webcast, special guest Michael Kennedy demonstrates 7 specific tips for writing "Pythonic" code, which is code that takes advantage of the best features of the Python language. Not only will this help you to write more efficient and readable code, it will also enable you to pick up other Python libraries more quickly!

After Michael's lesson, we answered 22 viewer questions.

== ABOUT ==

Michael Kennedy is the founder and host of the #1 podcast on Python, Talk Python To Me, as well as the creator of online video courses about Python.

Podcast: https://talkpython.fm/
Python courses: https://training.talkpython.fm/

Kevin Markham is the founder of Data School, an online school that will help you to launch your data science career, as well as the creator of videos about scikit-learn, pandas, and more.

Machine learning with scikit-learn:    • Machine learning in Python with scikit-learn
Data analysis with pandas:    • Data analysis in Python with pandas

== JOIN THE DATA SCHOOL COMMUNITY ==

Blog: https://www.dataschool.io
Newsletter: https://www.dataschool.io/subscribe/
Twitter:   / justmarkham
YouTube: https://www.youtube.com/user/datascho...
Patreon:   / dataschool

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