Programming By Stealth Podfeet Podcasts

In this installment of Programming By Stealth, Bart explains why jq is uniquely designed not to need variables (most of the time) and then explains how to use them in the few instances when there’s no other way. It’s really a fairly straightforward lesson as Bart sets up some clear examples and solves them with some simple variables. It’s one of my favorite episodes because the problem is clear and the solutions are clear. It really shows off how clean jq is as a language.

You can find Bart’s fabulous tutorial shownotes at pbs.bartificer.net.

Read an unedited, auto-generated transcript with chapter marks: CCATP_2024_05_11 (https://podfeet.com/transcripts/CCATP_2024_05_11.html)

In our previous episode of Programming By Stealth, Bart Busschots taught us how to create lookup tables with jq from JSON data using the `from_entries` command. Just when we have that conquered, this time he teaches us how to do the exact opposite – disassemble lookup tables. I think this was a really fun lesson because taking data apart, reassembling it the way you want and then putting it back together again is a great way to really understand what we're doing with jq. I got much more comfortable as I started to recognize the patterns in what Bart was doing. We also get to play with a new data set, the Have I Been Pwned data gathered by Troy Hunt.


If you're a data nerd, and really who amongst us isn't, you'll love this episode too.


You can find Bart's fabulous tutorial shownotes at pbs.bartificer.net.

In this episode of Programming By Stealth, Bart Busschots as usual works through his solution to the challenge from last time, and as usual I learn a lot more about how to use jq to solve problems. He takes a bit of a detour to explain a fun email we got from Jill of Kent in which she explained the vast number of headaches you'll run into when trying to alphabetize names no matter the language.


Then we buckle down and learn about how to make tradeoffs between speed and efficiency of resources, and how jq lookups can help us. Bart also helps us understand _when_ lookups can help us with querying JSON files.


This episode is more of a lecture, which is fine because he's introducing a new concept and explaining some philosophy. You won't hear me breaking into the conversation very much but it's only because I'm not confused! Don't worry, when we get into the final example you'll hear me get confused! Bart explains it about 3 or 4 times and when you hear why your co-host here was confused, it's kind of ironic.


You can find Bart's fabulous tutorial shownotes at pbs.bartificer.net.

Bart Busschots is back to teach us how to alter arrays and dictionaries in JSON files using jq. Bart went through his challenge solution on cleaning up the Nobel Prize database and I learned a lot from it. Maybe he’d already taught all of it to us before but I sure wouldn’t have been able to put the pieces together.

For the new content, we learned how to alter arrays. We mastered sorting and reversing, how to add and remove elements, how to deduplicate the values within, and how to flatten even nested arrays. From there we learned how to manipulate dictionaries by adding and removing keys.

It’s a very focused lesson that continues to show how powerful the jq language is. I think my favorite part though was when Bart made an existential philosophy observation when he said “Everything exists with the value of null.”

You can find Bart’s fabulous tutorial shownotes at pbs.bartificer.net.

In this week’s episode of Programming By Stealth, Bart continues to expand our knowledge on how to use jq to query and manipulate JSON files. We learn how to use mathematical operators on data in our JSON files along with fun functions like floor and absolute value. I even contributed some to the learning by showing examples of how `ceil` (for ceiling), `floor`, and `round` produce curiously different results when operating on negative decimal numbers.

We move onto learning about both plain assignment and update assignment. It seems like a small deal but the ability to set a parameter using the plain assignment `=` vs the ability to update a value using ` |=` is is actually huge and has lots of subtleties.

I think one of my favorite parts was when Bart took us back to our JavaScript lessons and reminded us of how weird it is on one concept but how jq is much more in line with modern programming languages. I felt like a seasoned programmer because I knew the history of what we’d learned. Finally we learned how you can actually divide strings. I know, weird, right? Ok, that’s enough spoilers.

You can find Bart’s fabulous tutorial shownotes at pbs.bartificer.net.

Read an unedited, auto-generated transcript with chapter marks: CCATP_2024_02_17 (https://podfeet.com/transcripts/CCATP_2024_02_17.html)

Join our Slack at podfeet.com/slack and look for the #pbs channel, and check out our pbs-student GitHub Organization (https://github.com/pbs-students). It’s by invitation only but all you have to do is ask Allison!

In this week's installment of Programming By Stealth, Bart Busschots teaches us how to use jq as a programming language. Before we get into the new stuff, Bart takes us through his solution to the challenge, and I have to say I was pretty chuffed when he said my solution to the extra credit portion was more elegant than his. To be fair, it took a buddy programming session with him for me to get the _first_ part of the challenge figured out.


When we got into the programming language part of the lesson, there were so many times that I said, "I needed this last week!" I think finding out these options are available after understanding the problems they solve was fantastic.


We learned how to run jq filters from files, which means no more looking at our filters all on one line - we can put line feeds and indents into our filters to make them more readable. We can even add comments. Bart tells us about a couple of handy plugins for VS Code to give us syntax highlighting which will be swell.


My favorite thing I learned was how to add debugging to our filters. This one is a life changer. We explore a few functions for exploring data filters that will make life easier. We wrap up with an introduction to jq variables, which the developers of jq really don't want you to use unless absolutely necessary.