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:
http://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportion_confint.html

For something completely different, Podcast Init Episode 37 features interviews with the people behind the PEP process:
https://www.podcastinit.com/episode-37-the-pep-talk/

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!

Stay tuned for our next episode, where we’ll discuss the Python Challenge. How far you can you get before Episode 2? Hey, no cheating! And no harming any snakes!
http://www.pythonchallenge.com/

This episode features the song "Happy Ukulele" by Scott Holmes and the songs "And So Then" and "Puzzle Pieces" by Lee Rosevere.

If you’re still reading, there's a statistically significant chance you want to help us build a community and support our cause! If our prediction is correct, please visit pythonoutloud.com/donate. We want Python Out Loud to be community driven and non-profit oriented, which is why we pledge to be transparent and donate anything in excess of our operating expenses to the Python Software Foundation (PSF). For just $3, we'll even mail you a limited-edition Python Out Loud sticker!

These show note were written on the Shinano Train, on Kevin's smartphone, steaming toward the Snow Monkey Park in Nagano, Japan.

In Episode 1, we discuss the infamous programming challenge known as FizzBuzz (no space), Fizz Buzz (with a space), or fizz_buzz (in PEP8-friendly syntax). We start off with its origin story, a math game used to teach children division. We then debate whether sitting around in a circle and taking turns saying “one, two, fizz, four, buzz, ...” is as fun in the digital age.

Even less fun? Fizz Buzz's reputation as a job interview question. For more about this version, see the well-known blog post by Jeff Atwood at https://blog.codinghorror.com/why-cant-programmers-program/

We're still not sure whether Fizz Buzz, or any other math-heavy question, is suitable for determining someone's capacity as a programmer. But as a learning tool, Fizz Buzz does provide a compact way of demonstrating a wide range of programming topics, including variables, conditionals, and loops. The only downside is also needing to learn modular arithmetic: https://nrich.maths.org/4350

And if you need even more math in your Fizz Buzz solution, look no further than this blog post by Joel Grus: http://joelgrus.com/2016/05/23/fizz-buzz-in-tensorflow/

Rounding out the episode, we share some project updates, including Kevin's recent Medium article on "Automating Surveys with Python, Qualtrics API and Windows Task Scheduler": https://medium.com/@changkevin/automating-surveys-with-python-qualtrics-api-and-windows-task-scheduler-4bffc58726d7

Neither of us is affiliated with Qualtrics in any way, but we did publish a qualtrics-mailer package on PyPI a few months ago: https://pypi.python.org/pypi/qualtrics-mailer/0.1

This episode features the song "Happy Ukulele" by Scott Holmes and the songs "And So Then", "Curiousity", "Manhattan By Moonlight" and "Puzzle Pieces" by Lee Rosevere.

Thank you for your support, and stay tuned for Episode 2. We plan to continue discussing problem solving in Python, focusing on http://www.pythonchallenge.com/.

If you’re still reading, there's a statistically significant chance you want to help us build a community and support our cause! If our prediction is correct, please visit pythonoutloud.com/donate. We want Python Out Loud to be community driven and non-profit oriented, which is why we pledge to be transparent and donate anything in excess of our operating expenses to the Python Software Foundation (PSF). For just $3, we'll even mail you a limited-edition Python Out Loud sticker!