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I have to admit that while I'm old enough to remember VIM from days of yore, I never found the love that everyone had/has for it. Is it really as good as modern IDE's?
I have to admit that while I'm old enough to remember VIM from days of yore, I never found the love that everyone had/has for it. Is it really as good as modern IDE's?
I’m not anti-Fediverse here, but tbf it would be ridiculously easy for data harvesting companies to plug into the API and fingerprint individual users from their activity. Admittedly, I don’t see how browser based fingerprinting could be done without hosting an instance.
To be fair, that’s true of most social media, including Reddit.
Julia looks like it is pointed towards ML programming and is fast, but I don’t see the same level of potential in a few years that Rust and Swift seem to have.
Rust seems to generating a lot more buzz and I’ve been seeing posts about Swifts ML libraries that look interesting. My crystal ball seems to be saying that Rust will follow a similar arc that Python took and gain some serious ML creds through libraries built by community/industry. I think Swift will also gain some credible ML capabilities too because it has the Apple behemoth behind it.
One of the things that I’m struggling with on Python is the very poor support for AMD GPU’s, which are in Macs. I’m sure Swift will do a better job of using the hardware capabilities better.
I’m trying to work out which one will have better for ML in a couple of years time.
Have you played with the Swift ML frameworks at all?
Agree. I’m kinda looking for marketable skills though and I feel Python may be becoming saturated.
Thanks, this makes some sense. I’ve started a few tutorials for Swift, and I added the Rust plugin/module to Visual Studio Code, but neither felt intuitive to me.
Python actually isn’t my first language, just my current choice. I’ve programmed in Basic, Pascal, Fortran, PL-SQL, Prolog and C at various times in the past. My question was more about which is likely to scale over time to be the more popular ML language.
Python also sucks for MacOS gui apps, so I was contemplating building MacOS/iOs apps for myself as a side quest.
Sensational answer! Thank you.
I think ML is probably going to require a lot of people in the future and I’m looking to build a digital nomad skill set for the future that pays well. While I’ve done a postgrad subject on ML and have a STEM degree, but I’m inclined to use existing libraries as that’s just easier.
Lol, Turbo Pascal was the first OO language I learned, back before there was any such thing as an Internet… Showing my age now.
I have thought about Julia.
I was working on the assumption that it would make it harder to learn two at once. Maybe you are right though.
I spent many years trying to be as FOSS as I could. I tried many different Linux distros, hunted for open source operating systems for my phone (at the time, none did even the basic things I needed it to do) until one day I decided I was sick to death of having to spend hours researching and trying multiple arcane cli commands to get even simple things to work (like WiFi). I realised that I was wasting an enormous amount of time being all-things-open-source.
My next purchase as a macbook as it was based on a *nix and I’ve come to realise that while Apple is a walled garden and in some ways is ‘evil’, it’s less evil than Google is now, or Microsoft was back in the day.
I also like the way that the various Apple devices work really well together. But I hate the fact that it’s harder to hack things to be the way that I want. Don’t get me wrong, I still love open source software, but I have too few years left to waste them on modifying config.org files, or whatever they do now, so I’m much more selective with what I use. I tend to use FOSS applications on MacOS where the software works well enough.
Not trying to bash FOSS, just my 2 cents.
Reminds me of Mathcad and Calca