- First language: Basic / Java
- Had difficulties: Java
- Totally hate: Java
- Most loved: Go / Python
- For beginners: Python / Ruby
What about you?
I responded, but I wanted to take some time and write and to explain myself.
Before I go on, let me explain my beliefs. If you can get work done in a language, that is a good language, and my petty gripes should have no influence. If I was in another situation, with other requirements and other collaborators, I would gladly learn to use and enjoy whatever language is critical for that task.
First language: Basic
I was told during high school that, to get into college, I would need two years of a foreign language. As it turned out, for the college I went to, I did not need that, but I needed some computer language time, which was not in the offing for any of the high schools I attended. So, first semester, I took a course on BASIC.
BASIC. Not Visual Basic. BASIC on 8088 microprocessors on a TRS-80.
I don’t know that Dijkstra’s considerations about BASIC come from the same place as mine – in fact, I really doubt it – but while I found it largely fun, there were two glaring deficiencies, and yes, one is
GOTO. I wrote a random number generator that jumped to
1000 or something to handle the random number generation, writing it to a global variable, and jumping back. I made it so I could switch between 1-6 and 1-100, because the role-playing games I was playing had a lot more of those roles, and I quickly learned that what I now understand as functions were what I really wanted.
I also learned that computers are deterministic machines that are absolutely crap at randomization, and so, if you had it print out 100 “random” numbers, then did it again, you would get the same 100 numbers, unless you “salted” the randomization. To paraphrase Schneier, there’s random numbers to run your toys and games, and there’s random numbers to secure your data from spies and thieves, and this is decidedly the former.
I can’t remember the last time explicitly salted a random number generator, so I believe it’s been added implicitly to the commands in the higher-level languages I spend my time with, but I know I have.
Had difficulties: Python, R
There used to be a big Sun lab on the third floor of a building on campus that also isn’t there anymore. I had graduated, but was sent code that would tell me what machines were open. Not because I needed to know, but because this was working Python code. This was more-or-less 2000, so that was many many versions ago.
And there was another thing this code had.
TabCode TabCode SpaceTabCode TabCode TabCode TabCode TabCode
For all I know, I could’ve been the person who accidently added that space. I have no way of telling. It was also the first time I had seen Python errors, and so I couldn’t decipher what it was telling me. But it was not telling me who was in what room.
I have tested this in more modern Python versions (2.,3.), and I am happy to report that they are both immune from this kind of bulldada. But once, I came home to find that my family was watching Silicon Valley, heard Richard Hendricks explain he used Python and tabs, and paused the show so I could tell the above story, in depth and with feeling, ending that Richard Hendricks was the straight-up villain of the piece.
I cannot watch that show.
With R, there are two main problems. One is more fair than the other. The first is that the R library
bioconductor, which imported data from an instrument we had in the lab, outright lied about how to open files, and it took me days of trying what the documentation said, over and over again, before I gave up and was shown another way.
The other? Data tables. I’m very used to and very happy with data structures in Perl and Python, but every time I try to get things going with them in R, I get confused. I have a few places where I use R as a plotting library, but I don’t do much with R beyond that.
Totally hate: Python
See above story. Plus, I saw a YouTube video from the Google Developers channel, promising to show me how to use their Python library to change my Gmail signature. Which it did.
But it also killed gcalcli, which I use for interacting with my Google Calendar, which I consider far more important.
I have started to chant “virtual_env all the things”, and this is the alias for
week, which shows my week’s events:
alias week='/home/jacoby/local/venv/gcalcli/bin/python /home/jacoby/local/venv/gcalcli/bin/gcalcli --nocolor --calendar "Main" calw'
On the other hand, we had a task that could only be done with a Windows-based program, and we wanted to do a lot of it, so I found and used Sikuli to allow me to script a Windows application, and it used the Java-based version of Python, Jython, as the scripting language. It would work kinda like:
pile_of_poo = 💩 # Yes, images within the code. piles = findAll(pile_of_poo) for poo in piles: click(poo)
Eventually, we stopped doing that, but this was a thing I did in Python that I could not see myself doing in any other language.
Perl is my “daily driver”. We have lots of legacy code and libraries written in Perl, and I have tools that work for me daily that I originally wrote in Perl back before that Python story.
Most loved: Perl
My first language was BASIC, as mentioned. Then, as I started Computer Science, they taught me “C as a subset of C++”, and while I learned that, I learned Unix and csh and vim. Notice the lack of “they taught me” in that last part. It was kinda like self-discipline in boot camp: it isn’t taught directly, but if you don’t pick it up during the process, you’re gonna have a really bad time.
I found a job relating to the web, and CGI was just starting to get big. I have, at one point, written the smallest possible
hello world in C, and the thought of going forward with non-trivial tasks in a very text-forward environment using
stdio.c just filled me with fear.
Then I found Perl, where strings were part of the primary type, rather than an array of the character class. For me, it was the right tool for the job, and I stuck with it as things moved around.
This is a very divisive position.
I was once asked “I want to learn to program. What language should I learn first?” and I responded “I’m going to Europe. What language should I learn?”
(I am not usually that quick, but this time I was.)
If I was interested in deep systems programming, or employed at it, I would’ve gone harder into C instead of Perl. At that time, the language most tied into Artificial Intelligence was Lisp and variants. Any of these would be perfectly good languages to go with, but very reliant on the tasks you intend to do with them.
And the Church-Turing Theory says that any Turing-complete language can do what any other Turing-complete language can do, so, in a way, it kinda doesn’t matter what language you start with. But text manipulation will still be easier in Perl and Python, startup time will be faster with compiled C, etc. etc.
So, what about you? What are your answers?