Test & Code

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

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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)
        ★ Support this podcast on Patreon ★
        ...more
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