"Fuck JavaScript, its such a shitty language" seems to be quite a common rant today. It seems as if JS is actually getting more hate than PHP, which is certainly odd, considering the stereotype.

So, as someone who has spent a lot of time in JS and a lot of time elsewhere, here are my views. Please, discuss your opinions with me as well. I am genuinely interested in an intelligent conversation about this topic.

So here's my background: learned HTML/CSS/JS in that order when I was 12 because I liked computers. I was pretty shitty at JS until U was at least 15, but you get the point, Ive had it sploshing about in my brain for a while.

Now, JS certainly has its quirks, no doubt, but theres nothing about the language itself that I would say makes it shitty. Its a very easy leanguage to use, but isn't overdeveloped like VB.net (Or, as I like to call it, TheresAFunctionForThat)

Most of the hate is centered around JS being used for a very broad range of systems. I doubt JS would be in the rant feed so often if it were to stay in its native ecosystem of web browsers. JS can be used in server backend, web frontent, desktop and mobile applications, and even in some system services (Although this isn't very popular as of yet). People seem to be terrified that one very easy to learn language can go so far. And, oh god, its interpreted... How can a system app run off an interpreted language? That's absurd.

My opinion on JSEverything is that it's progress. Thats what we're all about, right? The technologies already in place are unthreatened by JS, it isn't a gamechanger. The only thing JS integration is doing is making tedius and simple tasks easier. Big companies with large systems aren't going to jump ship and migrate to JS. A startup, however, could save a fucking ton of development time by using a JS framework, however. I want to live in a world where startups can become the next Google, because technology will stagnate when youre trying to protect your fortune, (Look at Apple for fucks sake) but innovation is born of small people with big ideas.

I have a feeling the hate for JS is coming from fear of abandoning what you're already doing. You don't have to do that. JS is only another option (And a very good one, which is why it's becoming so popular).

As for my personal opinion from my experiences... I've left this part til the end on purpose. I love programming and learning and creating, so I've never hated a lamguage, really. It all depends on what I want to do. In the times i've played arpund with JS, I've loved it. Very very easy. The idea of having it on both ends of web development makes a lot of sense too, no conversion, just direct communication. I would imagine this really helps with speed, as well. I wouldn't use it in a complicated system, though. Small things, medium size projects: perfect. Running a bank? No.

So what do you think about this JSUniverse?

I'm currently rewriting perfectly clean and functioning Scala code in Java (because "Enterprise", yay). The amount of unnecessary boilerplate I have to add is insane. I'm not even talking big complicated code but two liners or the lack of simple things like a range from 5 to 10.

Why do I have to write
List<Position> occupiedPositions = placedEntities.stream()
.flatMap((pe) -> pe.occupiedPositions().stream())
.collect(Collectors.toList());
instead of simply
val occupiedPositions = placedEntities.flatMap(_.occupiedPositions)

Why on earth does `occupiedPositions.distinct` suddenly become a monstrosity like `occupiedPositions.stream().distinct().collect(Collectors.toList())` where the majority of code is pure boilerplate? And this is supposed to be the new and better Java8 api which people use as evidence that Java is now suddenly "functional" (yeah no, just no).

Why do APIs that annotate parameters with @Nullable throw NullPointerExceptions when I pass a null? Why does the compiler not help prevent such stupidity? Why do we use static typing PLUS those annotations and it still crashes at runtime like every damn dynamic, interpreted language out there? That's not unfortunate, it's a complete waste of time.

Why is a simple idea like a range from x to 10 (in scala literally `x to 10`) not by default included in Java? There's Guava's version of Range which does not have a helper for integer ranges (even though they are the most used ones). Then there's apache.commons version which _has_ a helper for integers, but is strangely not iterable (wtf I don't even...).

Speaking of Iterable: How difficult could it be to convert an abstract Iterable<T> into a concrete List<T>? In scala it's surprisingly `someIterable.toList`. I found nothing like that so I took to stackoverflow where I found a thread in which people suggested everything from writing your own ListUtils helper class, using Guava (which is a huge dependency!) to using the new Java8 features inline (which is still about three lines long). I didn't know this was such a hard problem in computer science, TIL.

How anyone can be productive in this abomination of a language is beyond me now, even though I've used it for many years while learning to code (back then I didn't know there were much better ways to do things). The only good part is that I have to endure this nonsense for only about 3 days longer then I'm free again!

First rant: but I'm so triggered and everyone needs a break from all the EU and PC rants.

It's time to defend JavaScript. That's right, the best frikin language in the universe.

Features:
incredible async code (await/async)
universal support on almost everything connected to the internet
runs on almost all platforms including natively
dynamically interpreted but also internally compiled (like Perl)
gave birth to JSON (you're welcome ppl who remember that the X in AJAX stood for XML)

All these people ranting about JS don't understand that JS isn't frikin magic. It does what it needs to do well.

If you're using it for compute-heavy machine learning, or to maintain a 100k LOC project without Typescript, then why'd you shoot yourself in the foot?

As a proud JS developer I gotta scroll through all these posts gushing over the other languages. Why does nobody rant about using Python for bitcoin mining or Erlang to create a media player?

Cuz if you use the wrong tool for the right job, it's of course gonna blow up in your face.

For example, there was a post claiming JS developers were "scared" of multithreading and only stick in their comfort zone. Like WTF when NodeJS came out everything was multithreaded. It took some brave developers to step out of the comfort zone to embrace the event loop.

For a web app, things like PHP and Node should only be doing light transforms between the database information and HTML anyways. You get one thread to handle the server because you're keeping other threads open to interface with databases and the filesystem. The Nexus.js dev ranting on all us JS devs and doesn't realize that nobody's actual web server is CPU bound because of writing HTML bodies, thats why we only use 1 thread. We use other worker threads to do the heavy lifting (yes there is a C++ bridge look it up)

Anyways TL;DR plz respect JS developers we're people too. ES7 is magic and please don't shit on ES3 or we'll start shitting on the Python 2-3 conversion (need to maintain an outdated binary just cuz people leave out ()'s in their print statements)

Or at least agree that VB.NET is an abomination and insult to the beauty that is TI-84 BASIC

Seeing there are many people (including me) that cant acces the hackathot, I thitk, it would be nice if we as community could hold an unoficial remote hackathon.

My ideas:

-5 days to code
-github / skype
-chess engines which have to compete eachothers to find the winner
-5 teams
-should be compatible with windows, linex, mac (either an interpreted language or different recompiled versions)

Tell me what you think in the comments

I've optimised so many things in my time I can't remember most of them.

Most recently, something had to be the equivalent off `"literal" LIKE column` with a million rows to compare. It would take around a second average each literal to lookup for a service that needs to be high load and low latency. This isn't an easy case to optimise, many people would consider it impossible.

It took my a couple of hours to reverse engineer the data and implement a few hundred line implementation that would look it up in 1ms average with the worst possible case being very rare and not too distant from this.

In another case there was a lookup of arbitrary time spans that most people would not bother to cache because the input parameters are too short lived and variable to make a difference. I replaced the 50000+ line application acting as a middle man between the application and database with 500 lines of code that did the look up faster and was able to implement a reasonable caching strategy. This dropped resource consumption by a minimum of factor of ten at least. Misses were cheaper and it was able to cache most cases. It also involved modifying the client library in C to stop it unnecessarily wrapping primitives in objects to the high level language which was causing it to consume excessive amounts of memory when processing huge data streams.

Another system would download a huge data set for every point of sale constantly, then parse and apply it. It had to reflect changes quickly but would download the whole dataset each time containing hundreds of thousands of rows. I whipped up a system so that a single server (barring redundancy) would download it in a loop, parse it using C which was much faster than the traditional interpreted language, then use a custom data differential format, TCP data streaming protocol, binary serialisation and LZMA compression to pipe it down to points of sale. This protocol also used versioning for catchup and differential combination for additional reduction in size. It went from being 30 seconds to a few minutes behind to using able to keep up to with in a second of changes. It was also using so much bandwidth that it would reach the limit on ADSL connections then get throttled. I looked at the traffic stats after and it dropped from dozens of terabytes a month to around a gigabyte or so a month for several hundred machines. The drop in the graphs you'd think all the machines had been turned off as that's what it looked like. It could now happily run over GPRS or 56K.

I was working on a project with a lot of data and noticed these huge tables and horrible queries. The tables were all the results of queries. Someone wrote terrible SQL then to optimise it ran it in the background with all possible variable values then store the results of joins and aggregates into new tables. On top of those tables they wrote more SQL. I wrote some new queries and query generation that wiped out thousands of lines of code immediately and operated on the original tables taking things down from 30GB and rapidly climbing to a couple GB.

Another time a piece of mathematics had to generate all possible permutations and the existing solution was factorial. I worked out how to optimise it to run n*n which believe it or not made the world of difference. Went from hardly handling anything to handling anything thrown at it. It was nice trying to get people to "freeze the system now".

I build my own frontend systems (admittedly rushed) that do what angular/react/vue aim for but with higher (maximum) performance including an in memory data base to back the UI that had layered event driven indexes and could handle referential integrity (overlay on the database only revealing items with valid integrity) or reordering and reposition events very rapidly using a custom AVL tree. You could layer indexes over it (data inheritance) that could be partial and dynamic.

So many times have I optimised things on automatic just cleaning up code normally. Hundreds, thousands of optimisations. It's what makes my clock tick.

there's this club at my school, called STEM, and another called "science olympiad." both are pretty cringey, bad, or boring. science olympiad was just for the college credit. during the intro to the club, they said there was a coding section. "game on!" is what they dubbed it as, where basically you're timed to make a game in scratch. i'm fucking tired of it. why is scratch considered programming? don't get me wrong, i'll write an OS in PHP before i say code.org is better than scratch, but fuck it. its a fucking interpreted language that's interpreted by another interpreted language. i don't understand why this shit is still used. scratch isn't good. please codecademy or w3schools or just write in binary directly, but not scratch. my hand hurts from dragging and dropping, my eyes hurt from the light theme, my imaginary cat committed suicide after learning about scratch's mascot. fuck it. now onto stem club, fuck it too. not for being bad (well, kinda), but for not being more recognized. it should be above science olympiad, and other clubs because you actually have to think instead of just memorize. but alas, we still were offered the choice of scratch to program the robot. sigh. arduino much? i guess not. challenging much? nope. was i elected "leader"? with three of my friends out of the eight there, i could have been, but no. effort in this would be depressing.

How I met python
[long read but worth]

There's nothing wrong with falling in love with a programming language for her looks. I mean, let's face it - Python does have a rockin' body of modules, and a damn good set of utilities and interpreters on various platforms. Her whitespace-sensitive syntax is easy on the eyes, and it's a beautiful sight to wake up to in the morning after a long night of debugging. The way she sways those releases on a consistent cycle - she knows how to treat you right, you know?

But let's face it - a lot of other languages see the attention she's getting, and they get jealous. Really jealous. They try and make her feel bad by pointing out the GIL, and they try and convince her that she's not "good enough" for parallel programming or enterprise-level applications. They say that her lack of static typing gives her programmers headaches, and that as an interpreted language, she's not fast enough for performance-critical applications.

She hears what those other, older languages like Java and C++ say, and she thinks she's not stable or mature enough. She hears what those shallow, beauty-obsessed languages like Ruby say, and she thinks she's not pretty enough. But she's trying really hard, you know? She hits the gym every day, trying to come up with new and better ways of JIT'ing and optimizing. She's experimenting with new platforms and compilation techniques all the time. She wants you to love her more, because she cares.

But then you hear about how bad she feels, and how hard she's trying, and you just look into her eyes, sighing. You take Python out for a walk - holding her hand - and tell her that she's the most beautiful language in the world, but that's not the only reason you love her.

You tell her she was raised right - Guido gave her core functionality and a deep philosophy she's never forgotten. You tell her you appreciate her consistent releases and her detailed and descriptive documentation. You tell her that she has a great set of friends who are supportive and understanding - friends like Google, Quora, and Facebook. And finally, with tears in your eyes, you tell her that with her broad community support, ease of development, and well-supported frameworks, you know she's a language you want to be with for a long, long time.

After saying all this, you look around and notice that the two of you are alone. Letting go of Python's hand, you start to get down on one knee. Her eyes get wide as you try and say the words - but she just puts her finger on your lips and whispers, "Yes".

The moon is bright. You know things are going to be okay now.

You want cringe:

Writing an interpreter in an interpreted language.

You know that web development realy took the wrong turn, when complex java project compile way faster, than simple javascript one.

Not to say that javascript is interpreted programming language.

When I was in college OOP was emerging. A lot of the professors were against teaching it as the core. Some younger professors were adamant about it, and also Java fanatics. So after the bell rang, they'd sometimes teach people that wanted to learn it. I stayed after and the professor said that object oriented programming treated things like reality.

My first thought to this was hold up, modeling reality is hard and complicated, why would you want to add that to your programming that's utter madness.

Then he started with a ball example and how some balls in reality are blue, and they can have a bounce action we can express with a method.

My first thought was that this seems a very niche example. It has very little to do with any problems I have yet solved and I felt thinking about it this way would complicate my programs rather than make them simpler.

I looked around the at remnants of my classmates and saw several sitting forward, their eyes lit up and I felt like I was in a cult meeting where the head is trying to make everyone enamored of their personality. Except he wasn't selling himself, he was selling an idea.

I patiently waited it out, wanting there to be something of value in the after the bell lesson. Something I could use to better my own programming ability. It never came.

This same professor would tell us all to read and buy gang of four it would change our lives. It was an expensive hard cover book with a ribbon attached for a bookmark. It was made to look important. I didn't have much money in college but I gave it a shot I bought the book. I remember wrinkling my nose often, reading at it. Feeling like I was still being sold something. But where was the proof. It was all an argument from authority and I didn't think the argument was very good.

I left college thinking the whole thing was silly and would surely go away with time. And then it grew, and grew. It started to be impossible to avoid it. So I'd just use it when I had to and that became more and more often.

I began to doubt myself. Perhaps I was wrong, surely all these people using and loving this paradigm could not be wrong. I took on a 3 year project to dive deep into OOP later in my career. I was already intimately aware of OOP having to have done so much of it. But I caught up on all the latest ideas and practiced them for a the first year. I thought if OOP is so good I should be able to be more productive in years 2 and 3.

It was the most miserable I had ever been as a programmer. Everything took forever to do. There was boilerplate code everywhere. You didn't so much solve problems as stuff abstract ideas that had nothing to do with the problem everywhere and THEN code the actual part of the code that does a task. Even though I was working with an interpreted language they had added a need to compile, for dependency injection. What's next taking the benefit of dynamic typing and forcing typing into it? Oh I see they managed to do that too. At this point why not just use C or C++. It's going to do everything you wanted if you add compiling and typing and do it way faster at run time.

I talked to the client extensively about everything. We both agreed the project was untenable. We moved everything over another 3 years. His business is doing better than ever before now by several metrics. And I can be productive again. My self doubt was over. OOP is a complicated mess that drags down the software industry, little better than snake oil and full of empty promises. Unfortunately it is all some people know.

Now there is a functional movement, a data oriented movement, and things are looking a little brighter. However, no one seems to care for procedural. Functional and procedural are not that different. Functional just tries to put more constraints on the developer. Data oriented is also a lot more sensible, and again pretty close to procedural a lot of the time. It's just odd to me this need to separate from procedural at all. Procedural was very honest. If you're a bad programmer you make bad code. If you're a good programmer you make good code. It seems a lot of this was meant to enforce bad programmers to make good code. I'll tell you what I think though. I think that has never worked. It's just hidden it away in some abstraction and made identifying it harder. Much like the code methodologies themselves do to the code.

Now I'm left with a choice, keep my own business going to work on what I love, shift gears and do what I hate for more money, or pivot careers entirely. I decided after all this to go into data science because what you all are doing to the software industry sickens me. And that's my story. It's one that makes a lot of people defensive or even passive aggressive, to those people I say, try more things. At least then you can be less defensive about your opinion.

I quite dislike the fact that Python is growing in popularity. It's a fun toy, but the syntax is so fucking annoying after a while. Forced indentation is certainly not my style. Furthermore, Python is generally not extremely performant, even as far as interpreted languages go.

I love python as a language but using it to work (Like... for money...?) seems very outlandish. It feels akin to scratch to me... very bizzare to think it is powering many complex AIs. Python is a toy.

Ive been sitting here, trying to do VERY basic shit in angular (hiding elements and api calls), and after downloading 5 additional node modules that break my "build" (its not a fucking build, this is an interpreted language), im confident to say, fuck angular.

I love javascript, but sometimes it's just an incredibly stupid language, such as when undefined variables get interpreted as string literal "undefined" when concatenating strings. I like it better how, for example, PHP handles undefined values, that nulls just turn into "". Better still: typed languages, where most stupid mistakes are caught already at compilation, instead of having to spend hours to track down where that mysterious "undefined" comes from. As I said, I love javascript - because it is easy to code, flexible and forgiving in many ways. But I hate it for the exact same reason, for being such a sloppy fluffy...thing, and a bugger to debug. If javascript would be an animal, it would be a cute and cuddly cat that you instantly find adorable, but it's actually quite fat and lazy, plus its fur is littered with ticks and other bugs.

!rant

So coming from the interpreted language world (mainly using python), I'm always amazed on how compiled languages work. Especially C.

Every time I use C, it's like everything is sooooo faster (runtime), and yes I've read about it so many times. It's just that I can't explain this great feeling about actually seeing the results of using C.

Man, I think I just love C (even though I'm still confused in using pointers).

Is your code green?

I've been thinking a lot about this for the past year. There was recently an article on this on slashdot.

I like optimising things to a reasonable degree and avoid bloat. What are some signs of code that isn't green?

* Use of technology that says its fast without real expert review and measurement. Lots of tech out their claims to be fast but actually isn't or is doing so by saturation resources while being inefficient.
* It uses caching. Many might find that counter intuitive. In technology it is surprisingly common to see people scale or cache rather than directly fixing the thing that's watt expensive which is compounded when the cache has weak coverage.
* It uses scaling. Originally scaling was a last resort. The reason is simple, it introduces excessive complexity. Today it's common to see people scale things rather than make them efficient. You end up needing ten instances when a bit of skill could bring you down to one which could scale as well but likely wont need to.
* It uses a non-trivial framework. Frameworks are rarely fast. Most will fall in the range of ten to a thousand times slower in terms of CPU usage. Memory bloat may also force the need for more instances. Frameworks written on already slow high level languages may be especially bad.
* Lacks optimisations for obvious bottlenecks.
* It runs slowly.
* It lacks even basic resource usage measurement.

Unfortunately smells are not enough on their own but are a start. Real measurement and expert review is always the only way to get an idea of if your code is reasonably green.

I find it not uncommon to see things require tens to hundreds to thousands of resources than needed if not more.

In terms of cycles that can be the difference between needing a single core and a thousand cores.

This is common in the industry but it's not because people didn't write everything in assembly. It's usually leaning toward the extreme opposite.

Optimisations are often easy and don't require writing code in binary. In fact the resulting code is often simpler. Excess complexity and inefficient code tend to go hand in hand. Sometimes a code cleaning service is all you need to enhance your green.

I once rewrote a data parsing library that had to parse a hundred MB and was a performance hotspot into C from an interpreted language. I measured it and the results were good. It had been optimised as much as possible in the interpreted version but way still 50 times faster minimum in C.

I recently stumbled upon someone's attempt to do the same and I was able to optimise the interpreted version in five minutes to be twice as fast as the C++ version.

I see opportunity to optimise everywhere in software. A billion KG CO2 could be saved easy if a few green code shops popped up. It's also often a net win. Faster software, lower costs, lower management burden... I'm thinking of starting a consultancy.

The problem is after witnessing the likes of Greta Thunberg then if that's what the next generation has in store then as far as I'm concerned the world can fucking burn and her generation along with it.

I always used Python as a CLI calculator. "But Python is an interpreted language and therefore slower than C". Me:

"I'm too freaking lazy to learn to write good JavaScript so I'm gonna build a top-language with types, and then a compiler so it transpiles TypeScript to JavaScript and runs my app on the interpreted language it was at first. I'm gonna save so much time" - 2017 people

Just a quick rant on JavaScript,
So there’s a lot of people hating javascript, and while not a long time ago i was part of them, but I changed my opinion a little.

I think JavaScript is a great way to deal with website programming as it is quick and efficient, but I would not say to program directly on it, use a js-compilable language (CoffeScript, TypeScript, Kotlin(I think), etc.), but then you might say: “Well, no need for js then, compile it in byte code”. That would break the point of how I see web design/dev. The main intent behind webpages is to have an easy and fast way to send code to other computers to render them, that’s why it is interpreted: “Easy to send” and “*All* computers can handle it” with the proper browser. You need to be able to change the way the website is rendered and/or works sometimes, for diverse reasons like copy/pasting data, make it render properly or use plugins/add-ons to change that code to suit your needs.

I think js should be kept as a “readable byte-code”, so that means: {

Keep comments when compiling the js-compilable code,

Add standardized machine-readable comments that will indicate to smart code viewers how to show a particular thing (Like have a higher-end function compiled in js shown as a minimized code with explanations of the function)

Keep it nicely formated and don’t obfuscate (coz that’s annoying)

Etc.
}

So you bypass the quirks and all that pesky js stuff, while keeping it’s good sides.

-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-
Part 2:

Web design for non-web:

Ok so things like node.js, electron, react-native and all that stuff; I won’t say they’re bad but...

Why we have this is because web designers wanted to make desktop apps and were like “Hey! Making web pages is easy! Let’s port it to desktop”, the problem is: Web technologies were made to work on a restricted canvas, aka a browser. It’s good on web for reasons mention earlier and more. But it’s not on desktop! You’re trying to push it outside of those boundaries. It’s difficult to make it break that canvas and go outside, make something that really works! For social media clients and that kind of stuff that you want to make a little more inclusive, yes! it’s a great idea (hello devrantron ;), but not if it’s an exact same copy of the website, just use the website. But for things that are supposed to really make use of YOUR computer; no!

I see those PWA (progressive webapps aka mobile app, but it’s an offline website”), I stand for the same positions, social media and those sort of things: yes, great idea! Games? 🤢.

I have way more to say but I have difficulties to remember them while reading, so feel free to comment your thoughts

Lol, “just a quick rant”

i wrote a website, a server in go, a small os in c, a game in js, a game and server and web scraper and other desktop apps in java, mobile apps with flutter, a website with php also, implemented aes in go, wrote a parser in java. done sysadmin stuff on my vps and pihole/openvpn/nextcloud on my rpi. learn about c vulnerabilities and used metasploit. attempted to write an interpreted language. did some led displays with arduino. currently learning tensorflow.

i have never...
- written a driver
- made a game with a game engine
- created a file encoding
- implemented an oauth2 server
- made an api
- worked with vr

what am i missing? i want to be a very well rounded dev.

Why the hell does windows not feature a generell purpose interpreted language? This is horrible! Seriously, out of the box this thing doesnt support anything!

Why is python supposedly something big data people use ? Sounds like r and stats and well I don’t see the adoption of that though python is used somewhat I note in a lot of Linux apps and utilities

Just seems strange that an interpreted language would be used that way to me or am I an idiot ?

It's a pain in the ass working with an interpreted language :(

if you want to encounter 400 lb angry virgin programmers go on r/Python and suggest they should add a static keyword to their classes.

They swarm out of the woodwork and take turns trolling you until a mod bans you for responding in suit.

Its amazing, the dumbest lack of language feature and they're like
'me no want the extra keystroke me like code that can lose peopel, me fo fucks no never, not gonna happen, you asshat, haha, now go bye now, *click*'

valid argument is python classes are lacking in decoration

this i suppose is ok overall, i mean they work. except the issue i was having the other day resulted from a variable not being DOUBLE DECLARED IN BOTH THE CLASS SCOPE AND INSIDE THE CONSTRUCTOR LIKE IT WAS A JS OBJECT BEING INTERPRETED AS A STATIC FIELD !

ADDITIONALLY IF THEY LIKE CONCISE WHY THE FUCK DO ALL THEIR CLASS METHODS REQUIRE YOU TO INCLUDE ===>SELF<== !!!!

BUT NOOOO TRY TO COMPARE SOMETHING SENSIBLE LIKE

MYINSTANCE.HI SHOULD NOT BE STATIC
MYCLASS.HI SHOULD BE STATIC AND THEY GET ALL PISSED

ONE ACTUALLY ACTED REJECTED FOR THE SAKE OF HIS LANGUAGE SAYING 'YOU WANT WHAT PYTHON HAS BUT YOU DON'T WANT PYTHON !'
...
...
...
I DIDN'T KNOW THEY MADE VIRGINS THAT BIG!

If I could, I'd attempt to create an ideal language. I'd aspire that its features would be:

-The easyiness of Python

-The library ecosystem of Javascript

-The readability and cross- platformness of Java

-Functional features of Haskell

-Modularity of Lisp

-Low level features of C/C++

-Powerful with strings and data, like Perl

-Both compiled and interpreted, with REPL

Anything missing from your favorite languages?

I once met a guy who seriously thought that JavaScript was an interpreted language, merely because it has an eval() function...

Is it right to think when you learn one language completely, then it is very easy to learn other languages?
Like today i am watching php tutorials and i see it's just syntax changes and everything is java despite of it is interpreted

Extensive knowledge of the non-compiling, heavily-interpreted language known as profanity. Helps me express my problems very clearly​ to others in my team.

I just realized that the interpreted Python version of a programming language that I am developing is faster (two times faster) than the compiled version using Nuitka.

Orchid lesson #many:
Church tuples exist only to demonstrate how general substitution is. Just like Church numerals, they aren't meant to be used for real computation and cause a lot of problems. Few type systems and fewer optimizers can deal with them, they're a pain to pass through FFI boundaries, and they're much slower in an interpreted context than a native smart array. And in a lazy language the tuple is almost always lighter than the code that generates it, so you want to generate the tuple eagerly and thunk the actual elements, if thunk you must.

I'll go write a vector based tuple and end this madness tomorrow. New version soon, probably.

With dynamic dispatch.