Some Algol 60 code

Learning New Programming Languages

I would¬≠n‚Äôt brand your¬≠self as a pro¬≠gram¬≠mer who knows x lan¬≠guage or y frame¬≠work. This mind¬≠set lim¬≠its your op¬≠por¬≠tu¬≠ni¬≠ties. Rather, it‚Äôs bet¬≠ter to be able to learn new things on the Ô¨āy‚ÄĒas ‚Äútechnology is al¬≠ways chang¬≠ing‚ÄĚ. Even in my short life¬≠time, I can come up with tech that has bit the dust. Anyone still us¬≠ing Adobe Flash Player?

At the same time, it‚Äôs hard to change. If you‚Äôve been cod¬≠ing in the same lan¬≠guage for years, the new thing prob¬≠a¬≠bly feels tran¬≠sient. The re¬≠turn on in¬≠vest¬≠ment is hard to cal¬≠cu¬≠late‚ÄĒwhat will you get out of it? After all, at some level, most pro¬≠gram¬≠ming lan¬≠guages kinda do the same thing.

Well, a sim¬≠ple an¬≠swer is that it makes you more em¬≠ploy¬≠able. Over time, com¬≠pa¬≠nies are tran¬≠si¬≠tion¬≠ing to newer tech¬≠nolo¬≠gies. These tech¬≠nolo¬≠gies may not be bet¬≠ter per say‚ÄĒbut their pop¬≠u¬≠lar¬≠ity makes it eas¬≠ier to Ô¨Ānd tu¬≠to¬≠ri¬≠als, pack¬≠ages, etc.

Also, once you learn a pro¬≠gram¬≠ming lan¬≠guage or two, it‚Äôs easy to pick up more. Granted, it‚Äôs smoother to jump be¬≠tween lan¬≠guages from the same par¬≠a¬≠digm‚ÄĒor in¬≠Ô¨āu¬≠enced from the same pre¬≠de¬≠ces¬≠sor. To a point, this is why I en¬≠cour¬≠age peo¬≠ple to mas¬≠ter the fun¬≠da¬≠men¬≠tals. They travel be¬≠tween lan¬≠guages.


Of course, there are bet­ter rea­sons to learn new lan­guages than to stuff your re­sume with buzz­words. You can be­come a bet­ter, more well-rounded de­vel­oper.

Some lan­guages are bet­ter at some things than oth­ers. Thus, by know­ing more lan­guages, you’re able more ef­fec­tively judge which one is bet­ter for a given task. Like, I would­n’t use Erlang to do heavy pro­cess­ing with strings, or Python to per­form CPU in­ten­sive cal­cu­la­tions.

In a way, pack¬≠ages are more im¬≠por¬≠tant than the lan¬≠guage. Nowadays, com¬≠put¬≠ers are so com¬≠pli¬≠cated that no one per¬≠son can un¬≠der¬≠stand the sys¬≠tem front to back. And there‚Äôs no point to be¬≠ing com¬≠puter-om¬≠ni¬≠scient. We build soft¬≠ware on top of ab¬≠strac¬≠tions‚ÄĒas¬≠sem¬≠bling the prod¬≠uct piece by piece.

Thus, to¬≠day, the lan¬≠guage‚Äôs ecosys¬≠tem mat¬≠ters more than its beauty.[1] Arguably, they are be¬≠com¬≠ing a glue layer for com¬≠bin¬≠ing pack¬≠ages. Without qual¬≠ity, up-to-date pack¬≠ages, the lan¬≠guage is ba¬≠si¬≠cally dead for main¬≠stream use. Consequently, we just aren‚Äôt aware of all the code in the sys¬≠tem‚ÄĒthat‚Äôs Ô¨Āne. Hopefully, some¬≠one else is main¬≠tain¬≠ing that stuff.

Plus, the fu¬≠ture is un¬≠cer¬≠tain. Over the last few weeks, I‚Äôve watched a hand¬≠ful of videos demon¬≠strat¬≠ing the ca¬≠pa¬≠bil¬≠i¬≠ties of GTP-3. Sure, they‚Äôre prob¬≠a¬≠bly cherry pick¬≠ing the best ex¬≠am¬≠ples, but it‚Äôs still im¬≠pres¬≠sive. Even if the fu¬≠ture still leaves room for the cre¬≠ativ¬≠ity of hu¬≠man pro¬≠gram¬≠mers, we will likely have to shift with the times. AI pow¬≠ered tool¬≠ing is com¬≠ing. I doubt it will re¬≠place the pro¬≠fes¬≠sion any¬≠time soon‚ÄĒreal soft¬≠ware is much too com¬≠plex. Yet, we should re¬≠main aware.[2]

Some Tips

Ok, now that I’ve mo­ti­vated you to learn things, let’s go through some tips.

An ob¬≠vi¬≠ous Ô¨Ārst step would be to Ô¨Ānd of¬≠Ô¨Ā¬≠cial doc¬≠u¬≠men¬≠ta¬≠tion for the lan¬≠guage in ques¬≠tion. This doc¬≠u¬≠men¬≠ta¬≠tion will of¬≠ten be found on the lan¬≠guage‚Äôs of¬≠Ô¨Ā¬≠cial web¬≠site. While usu¬≠ally good ref¬≠er¬≠ence ma¬≠te¬≠r¬≠ial, the doc¬≠u¬≠men¬≠ta¬≠tion is not al¬≠ways use¬≠ful as learn¬≠ing ma¬≠te¬≠r¬≠ial. Don‚Äôt get stuck in the trap of read¬≠ing and try¬≠ing to mem¬≠o¬≠rize lan¬≠guage con¬≠structs. You need to take ac¬≠tion‚ÄĒI like to im¬≠ple¬≠ment small pro¬≠jects, data struc¬≠tures, or some al¬≠go¬≠rithm.

Importantly, the doc¬≠u¬≠men¬≠ta¬≠tion will hope¬≠fully list out the stan¬≠dard li¬≠brary. For me, the hard¬≠est parts of a lan¬≠guage to learn are its li¬≠braries and it‚Äôs id¬≠ioms. Some pro¬≠gram¬≠ming lan¬≠guages en¬≠cour¬≠age par¬≠tic¬≠u¬≠lar ap¬≠proaches to solv¬≠ing a prob¬≠lem‚ÄĒyou‚Äôll pick up the nu¬≠ances with prac¬≠tice. To help with this, con¬≠sider glanc¬≠ing through other peo¬≠ple‚Äôs code. You can get a feel for what to strive for by read¬≠ing well-writ¬≠ten code.

On that note, ‚ÄúGoogle‚Äôs your friend bruh.‚ÄĚ There are a mil¬≠lion blogs, tu¬≠to¬≠ri¬≠als, videos, open source pro¬≠jects on the Internet. For those more old school, books ex¬≠ist. Just pick some¬≠thing and stick with it. Implement that tu¬≠to¬≠r¬≠ial and try to change the code.

Also, make sure you‚Äôre look¬≠ing at the doc¬≠u¬≠men¬≠ta¬≠tion for the cor¬≠rect ver¬≠sion. The docs for ver¬≠sion two in¬≠stead of three are‚ÄĒwell‚ÄĒnot help¬≠ful.

  1. I‚Äôm be¬≠ing a bit bold here. Yet, I feel like it‚Äôs true that ‚Äúbetter‚ÄĚ pro¬≠gram¬≠ming lan¬≠guages of¬≠ten strug¬≠gle to get and main¬≠tain a foothold. There is a lot of lan¬≠guages, and the pop¬≠u¬≠lar ones usu¬≠ally gained sta¬≠tus due to his¬≠tor¬≠i¬≠cal quirks. ‚Ü©Ôłé

  2. I‚Äôm not a AI dooms¬≠day per¬≠son‚Äďyet. But, I do think that fu¬≠ture lan¬≠guages will gain pop¬≠u¬≠lar¬≠ity via how well they co¬≠op¬≠er¬≠ate with to¬≠mor¬≠row‚Äôs AI-based tool¬≠ing. ‚Ü©Ôłé