Thanks for the questions and feedback, and please keep them coming by tweeting at @PythonOutLoud!
While Episode 2 is incubating, this special postscript to Episode 1 answers more listener questions, discusses our Twitter giveaways, and boldly endures Isaiah's Star Trek references.
PSA: The level of geek was a bit high in this episode, so we’ll share links in descending order of geekiness
First off, we have the episode of Star Trek: The Next Generation Isaiah keeps referencing: https://en.wikipedia.org/wiki/Chain_of_Command_(Star_Trek:_The_Next_Generation)
Second, we have the closest attempt you'll ever hear of Isaiah not only reference, but almost singing, a pop song: https://en.wikipedia.org/wiki/All_About_That_Bass
This third link is a good example of the fun and challenges of balancing our podcast hobby and our day jobs:
https://www.kaianalytics.com/single-post/2018/02/20/“Use-of-Blockchain-Transactional-Technology-by-Philippine-Coffee-Growers”-—-Kai-Analytics-Yaveio-and-Kalsada-Coffee-Awarded-Grant-by-APF-Canada Not only are we oceans apart, we have to find time around our work! In this next case, though, it’s actually an exciting announcement for Kai Analytics’ Blockchain Project.
Since everyone reads show notes from end to end, here's a slight tangent and a challenge: The first person to tweet at @PythonOutLoud with hashtag #beingextraisgood and the number of times Isaiah uses the word “poll(s)” in Episode 1 Postscript will win a special prize!
In case you’re wondering what we’re talking about, this tweet gives some context: https://twitter.com/PythonOutLoud/status/965974579603587073
And if you're mathematically inclined, we recommend the Python statsmodels package for checking Isaiah's math:
For something completely different, Podcast Init Episode 37 features interviews with the people behind the PEP process:
As explained in the episode, they're especially fond of hiding references to British comedy troupe Month Python in Python documentation: https://docs.python.org/3/search.html?q=spam
In other words, SPAM! SPAM! SPAM!
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