[ot][spam][crazy] small notes for relearning software dev
Undescribed Horrific Abuse, One Victim & Survivor of Many
gmkarl at gmail.com
Mon Oct 17 01:23:22 PDT 2022
A basic attribute of being a skilled coder is being language agnostic:
being freely able to write in a new language, and having roughly equal
difficulty and skill in whatever la guage you encounter.
Nowadays I mostly know python, and mostly remember C and C++ .
Languages seem to stick around only if I use them, roughly.
I’m thinking a good idea could be to practice having skill at many
languages. I came up with a list of ideas:
C++ is because I used to know it best and staying up on it involves a
lot of reading.
Go and Rust are because they seem popular and normative nowadays.
Scheme/Erlang/Haskell because they are significantly different to
learn, and are also useful for major projects.
Julia is also significantly different, and has utility for building
skills around machine learning.
It seems it could be useful to break the skills of language learning
and language changing into parts, and see if they can be considered
for different languages.
In machine learning, there’s an idea that some data is way more useful
to study than other data: such as disparate parts of unfamiliar
languages with common attributes maybe. That seems to apply here,
although I also have much less skilled memory than a large language
model, so breaking things consciously into useful generalizations
seems to have higher return.
There are lists on the internet of hundreds and hundreds of random
programming languages. These could be drawn from to practice speed of
learning a new language.
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