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:

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Creators and Guests

Brian Okken
Host
Brian Okken
Software Engineer, also on Python Bytes and Python People podcasts
126: Data Science and Software Engineering Practices ( and Fizz Buzz ) - Joel Grus
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