126: Data Science and Software Engineering Practices ( and Fizz Buzz ) - Joel Grus
32:18 Share

Researches and others using data science and software need to follow solid software engineering practices. This is a message that Joel Grus has been promoting for some time.

Joel joins the show this week to talk about data science, software engineering, and even Fizz Buzz.

Topics include:

• Software Engineering practices and data science

• Difficulties with Jupyter notebooks

• Code reviews on experiment code

• Unit tests on experiment code

• Finding bugs before doing experiments

• Tests for data pipelines

• Tests for deep learning models

• Showing researchers the value of tests by showing the bugs found that wouldn't have been found without them.

• "Data Science from Scratch" book

• Showing testing during teaching Data Science

• "Ten Essays on Fizz Buzz" book

• Meditations on Python, mathematics, science, engineerign and design

• Testing Fizz Buzz

• Different algorithms and solutions to an age old interview question.

• If not Fizz Buzz, what makes a decent coding interview question.

• pytest

• hypothesis

• Math requirements for data science

Special Guest: Joel Grus.

Sponsored By:

• PyCharm Professional): Try PyCharm Pro for 4 months and learn how PyCharm will save you time.) Promo Code: TESTANDCODE22

Links:

• Ten Essays on Fizz Buzz (with discount) by Joel Grus)
• I don't like notebooks. (presentation))