Having written my fair share of bash scripts last year, I decided to replace it with something else. This is how I decided to replace it with Python.
The scripts I’m referring to are either running during the build (or deployment) at the CI server or they’re small scripts that I use on my laptop. The primary factor in choosing bash in the first place was that the builds run inside Docker containers, which all have one thing in common: bash.
And there’s nothing wrong with that, as long as the scripts are small. But, if they start
to become larger and more complex, things become a bit more challenging. Bash is great for glueing together other commands like lego blocks. If all it takes is to run a few
commands and maybe do some text filtering with
grep or replacing with
sed, it’s all fine.
I found bash a bit unsatisfying in the following cases:
- Dealing with structured text files (xml, json, yaml). Coming up with a correct
regular expression for
sedin this case is like trying to use a hammer with as a screw driver.
- I never remember when to use
(( )). Maybe I’m forgetting some combination? A cheatsheet goes a long way, but the code is just not readable. You want the basics of a language to be intuitive.
So, following the recent internet trend, it’s time to apply the KonMari method. Bash doesn’t spark joy. Thank you bash for all the automatic deployments, but it’s time to throw you away.
But what should I replace it with? I gave this a lot of thought in the past months and I went back and forth between some options.
First of all, I excluded compiled languages. We’re still talking about small scripts that should fit in a single file. There’s no need for the overhead of having to compile it and run the binary. Just plain old write, run, edit, repeat.
The last two aren’t really as popular as the rest but I thought to give them a try because at work our stack is mostly Java. I wasn’t impressed, it felt like Java with different shoes and Java can be a bit too verbose.
A side note on popularity: you’ve probably seen the TIOBE Index that lists the popularity of programming languages. I was baffled by it because it lists C and C++ so high, or VB .net more popular than C#. I found instead GitHub’s State of the Octoverse to be a bit more believable (hurray for my confirmation bias).
these scripts would typically have to run commands and deal with files, which means
having to write a lot of
await all the time. It’s also an ecosystem that
moves a bit too fast for my taste.
This leaves us with Python and Ruby. I was a bit sad to see that Ruby seems to be constantly falling in popularity. I never used it professionally but I played with it and I found its language constructs very interesting. I also liked Python a lot, so in this case I decided to go with the crowd. According to both TIOBE and GitHub’s reports it’s quite popular. The days of the Python 2 vs Python 3 schism are behind us (although you need to be careful you’re reading a recent StackOverflow answer). Visual Studio Code has great support for it (I have to say it’s better than Ruby’s support). And it has gained a new wave of popularity, as it’s used by the AI/Machine Learning folks.
I had put together a rather complicated bash script which was generic enough to handle deployments for all of our projects at work, but it had reached its limits in terms of maintainability. I managed to rewrite it in Python in a few hours. It is slightly longer (from 152 to 179 lines) than the bash script, but it’s significantly more readable, robust and generic. But the emphasis here is that this was possible in a few hours and I’m not exactly a Python guru.