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

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.

Links:

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