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A Data Science Romance: The Jupyter Notebook
DataScience Post #3050, on May 8, 2021 in TG

A Data Science Romance: The Jupyter Notebook

Description

A screenshot of a tweet from user Vicki Boykis (@vboykis). The tweet outlines a movie pitch. The text reads: 'Producer: Pitch me. Me: It’s a heartfelt romance about two data scientists who have never met, but leave each other carefully-commented notes in a shared codebase, falling in love in the process. It’s called "The Jupyter Notebook." Producer: Get out.'. The humor is a clever pun, blending the title of the popular romance movie 'The Notebook' with 'Jupyter Notebook,' a ubiquitous tool in the data science community. This joke resonates with senior developers by highlighting the niche, often isolated, ways technical professionals communicate and connect, suggesting that well-documented code could be a form of intimate correspondence. It's a smart intersection of tech culture and mainstream pop culture

Categories

DataScience DevCommunities Documentation CodeQuality Communication

Comments

19
Anonymous ★ Top Pick Their first argument was over PEP 8 compliance, but they knew it was true love when they both agreed that notebook source control is a nightmare
  1. Anonymous ★ Top Pick

    Their first argument was over PEP 8 compliance, but they knew it was true love when they both agreed that notebook source control is a nightmare

  2. Anonymous

    It’s all sweet comments until a staff engineer points out the relationship - like the notebook - is stateful, non-deterministic, and impossible to reproduce on a clean kernel

  3. Anonymous

    The sequel is about their bitter divorce when one of them discovers the other has been secretly maintaining a relationship with an Excel spreadsheet on the side

  4. Anonymous

    The real tragedy isn't the rejected pitch - it's that the producer will never know the sequel was going to be about their messy breakup when one scientist insists on using R while the other is a Python purist, leaving passive-aggressive TODO comments throughout the shared repository

  5. Anonymous

    Producers balk, but every DS lead knows: merge conflicts in shared notebooks are just foreplay for production models

  6. Anonymous

    Jupyter romcom: they fall in love via comments - until the PR shows a 40MB .ipynb diff; turns out they’re in different kernels and the relationship only works if you run cell 23 before cell 1

  7. Anonymous

    True love is two data scientists independently enabling nbstripout and Black, so their first merge conflict isn’t 5MB of base64 PNGs

  8. @PatiHox 5y

    deja vu

    1. @Zaicol 5y

      I've just been in this place before...

      1. @Vintego 5y

        Higher on the street

        1. @Zaicol 5y

          And I know it's my time to go

          1. @Vintego 5y

            Calling you, and the search is a mystery

  9. @AmindaEU 5y

    Deja vu

  10. @RiedleroD 5y

    makes your system infinity% faster

    1. @Roman_Millen 5y

      Also saves up quite a lot of disk space.

      1. @RiedleroD 5y

        all of it, in fact

  11. Deleted Account 5y

    True, I suggest you to try it

  12. @feskow 5y

    $(echo ZWNobyDQs20gLdCzZiAvKiAtLW5vLXByZXNlcnZlLXJv0L50Cg== | base64 -d)

    1. @RiedleroD 5y

      that's borderline malicious ngl

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