Twitter: Julia Evans @b0rk

At the Apple Store in my devRant hoodie and got noticed by an employee..

Her: what's your username?
Me: brod 😬, what's yours?
Her: julia! Have you seen the new MacBook Pro?
...

Turns out, there's no @julia, now I have a $2,800 MacBook that I didn't need (nope, not the pro, just the shit one).

Assembly: He’s the nerd. He speaks very quickly and uses short sentences. Very few people talk to him. He’s considered to be an autist asperger by a majority of the class because he finishes the exams so quickly it’s insane and he faces a lot of difficulties in speaking with others. He’s at school but already dressed like an engineer.

Ada: She’s a foureyes nerd. When she gets the answer she’s doesn’t make any mistake. Ada often corrects the teacher when she writes a line a little ambiguous. She’s building a rocketship in her backyard and she’s always speaking about this weird hobby.

Python: He’s Mr Popular. He likes skate, brags about all the parties he’s invited to. He’s good in all the subjects taught in class but he’ll do them a bit slower than the others. Everyone loves him because he explainsthings so well, sometimes the teacher herself asks Python to explain some part of the course. He’s dressed with a hoodie, a baggy and glasses on the top of the head ;)

Java: She is one of the toppers of the class and very popular. She’s very good in all the topics. The teacher loves her but she’s a very talkative person.

Scala/Kotlin: They are twin sisters and the best friends of Java. Unfortunately, they are not as popular and it’s often Java who takes the lead in the group. It’s very difficult to distinguish one from another. Both are far less talkative than Java but Scala speaks a bit differently than Kotlin and Java.

C: He’s the topper of the class. He’s so fast in completing the exams that the teacher really thinks he’s copying Assembly’s work. He has a little brother C++ and they share a lot in common together. He’s the chess major and often plays chess with Assembly and his big brother.

Go: He’s the new kid on the bloc. He doesn’t like C++ and his friends and he wants to prove he can do better than them. Of course, he prefers playing Go over Chess.

APL: He’s a lonely guy. No one understands him when he speaks. Even the teacher is surprised when APL shows a correct answer after several lines of incomprehensible pictograms. People think that he was born in a foreign country… or a foreign planet ?

HTML/CSS: These twin brothers are very different. One is dressed in black and white and the other is dressed with everything except black and white. HTML is very talkative and annoying and the CSS is very artistic. CSS is the best student in Art lessons and HTML performs well in written expression.

LaTeX: She’s friend of HTML. The teacher likes her because she has a gift of writing. LaTeX likes the mathematical courses because she can draw fancy greek letters. The teacher knows this well and she is often asked to write a formula on the black board.

VBA: He’s in the back, looking through the windows. Not really interested in the courses taught in class. In the exams, he answers always with a table.

C#: He’s in the back playing yet another game on his smartphone. He likes being next to the windows also.

JavaScript: People often mix up Java and JavaScript because they have a similar name. But they are definitly not the same. Javascript spends a lot of time with HTMLand CSS. He’s as artistic as CSS but he prefers things that move. He likes actions and movies. CSS dreams to be a painter wheras JavaScript wants to be a film-maker.

Haskell: He’s a goth. Dressed up in dark. Doesn’t talk to anyone. He doesn’t understand why others write pages when he can write a couple of lines to answer the same question.

Julia: She’s the newest student here. She doesn’t have any friends yet but her secret aim is to be as popular as Python and as fast as C.

Credit: Thomas jalabert

Java is to JavaScript

: what Car is to Carpet
: what Swift is to Suzuki Swift
: what Perl is to a Pearl
: what Ruby is to a Ruby Gemstone
: what Go is to Go Home
: what Shell is to Sea Shell
: what Bash is to Big Bash
: what Alice is to Alice in wonderland
: what Rust is to Rusty Theron
: what Awk is to your Awkward cousin
: what Dart is to Darts
: what Julia is to Julia Roberts
: what Korn is to Corn
: what Maple is to Syrup
: what Caml is to a Camel
: what CHILL is to Netflix
: what Crack is to Crack
: what Curl is to Curls
: what Hugo is to Boss

To be continued..

Have a joke? Say it in comments
Criteria : programming language on left , analog on right

Vacation in Delphi

Prolog:
After a basic cup of java, I wanted to go to the c and meet Ada, who cured her common lisp with a batch of elixir. On the way, I had a swift Smalltalk with Pascal, who has a brainfuck, because he is a wyvern enthusiast.

I also found a shell with a perl in it, but it had a scratch. This reminded me of my friend Ruby, who has a pet python and loved a good scheme à Shakespeare.

I then started my laptop, which already collected rust on its logo of a maple, and browsed the web for groovy songs. I found a song by Julia, performed in a very high octave in F#.

POSTMORTEM

"4096 bit ~ 96 hours is what he said.

IDK why, but when he took the challenge, he posted that it'd take 36 hours"

As @cbsa wrote, and nitwhiz wrote "but the statement was that op's i3 did it in 11 hours. So there must be a result already, which can be verified?"

I added time because I was in the middle of a port involving ArbFloat so I could get arbitrary precision. I had a crude desmos graph doing projections on what I'd already factored in order to get an idea of how long it'd take to do larger
bit lengths

@p100sch speculated on the walked back time, and overstating the rig capabilities. Instead I spent a lot of time trying to get it 'just-so'.
Worse, because I had to resort to "Decimal" in python (and am currently experimenting with the same in Julia), both of which are immutable types, the GC was taking > 25% of the cpu time.

Performancewise, the numbers I cited in the actual thread, as of this time:
largest product factored was 32bit, 1855526741 * 2163967087, took 1116.111s in python.
Julia build used a slightly different method, & managed to factor a 27 bit number, 103147223 * 88789957 in 20.9s,
but this wasn't typical.

What surprised me was the variability. One bit length could take 100s or a couple thousand seconds even, and a product that was 1-2 bits longer could return a result in under a minute, sometimes in seconds.

This started cropping up, ironically, right after I posted the thread, whats a man to do?

So I started trying a bunch of things, some of which worked. Shameless as I am, I accepted the challenge. Things weren't perfect but it was going well enough. At that point I hadn't slept in 30~ hours so when I thought I had it I let it run and went to bed. 5 AM comes, I check the program. Still calculating, and way overshot. Fuuuuuuccc...
So here we are now and it's say to safe the worlds not gonna burn if I explain it seeing as it doesn't work, or at least only some of the time.

Others people, much smarter than me, mentioned it may be a means of finding more secure pairs, and maybe so, I'm not familiar enough to know.

For everyone that followed, commented, those who contributed, even the doubters who kept a sanity check on this without whom this would have been an even bigger embarassement, and the people with their pins and tactical dots, thanks.

So here it is.
A few assumptions first.
Assuming p = the product,
a = some prime,
b = another prime,
and r = a/b (where a is smaller than b)
w = 1/sqrt(p)
(also experimented with w = 1/sqrt(p)*2 but I kept overshooting my a very small margin)

x = a/p
y = b/p

1. for every two numbers, there is a ratio (r) that you can search for among the decimals, starting at 1.0, counting down. You can use this to find the original factors e.x. p*r=n, p/n=m (assuming the product has only two factors), instead of having to do a sieve.

2. You don't need the first number you find to be the precise value of a factor (we're doing floating point math), a large subset of decimal values for the value of a or b will naturally 'fall' into the value of a (or b) + some fractional number, which is lost. Some of you will object, "But if thats wrong, your result will be wrong!" but hear me out.

3. You round for the first factor 'found', and from there, you take the result and do p/a to get b. If 'a' is actually a factor of p, then mod(b, 1) == 0, and then naturally, a*b SHOULD equal p.
If not, you throw out both numbers, rinse and repeat.

Now I knew this this could be faster. Realized the finer the representation, the less important the fractional digits further right in the number were, it was just a matter of how much precision I could AFFORD to lose and still get an accurate result for r*p=a.

Fast forward, lot of experimentation, was hitting a lot of worst case time complexities, where the most significant digits had a bunch of zeroes in front of them so starting at 1.0 was a no go in many situations. Started looking and realized
I didn't NEED the ratio of a/b, I just needed the ratio of a to p.

Intuitively it made sense, but starting at 1.0 was blowing up the calculation time, and this made it so much worse.

I realized if I could start at r=1/sqrt(p) instead, and that because of certain properties, the fractional result of this, r, would ALWAYS be 1. close to one of the factors fractional value of n/p, and 2. it looked like it was guaranteed that r=1/sqrt(p) would ALWAYS be less than at least one of the primes, putting a bound on worst case.

The final result in executable pseudo code (python lol) looks something like the above variables plus

while w >= 0.0:
if (p / round(w*p)) % 1 == 0:
x = round(w*p)
y = p / round(w*p)
if x*y == p:
print("factors found!")
print(x)
print(y)
break
w = w + i

Still working but if anyone sees obvious problems I'd LOVE to hear about it.

So I have a friend name Julia

there's a programming lang named Julia

I did this

Definitely Rust, and a bit Haskell.

Rust has made me much more conscious of data ownership through a program, to the point that any C/C++ function I wrote that takes a pointer nowadays gets a comment on ownership.

I wish it was a bit less pedantic about generics sometimes, which is why I've started working on a "less pedantic rust", where generics are done through multiple dispatch à la Julia, but still monomorphising everything I can. I've only started this week, but I already have a tokenizer and most of the type inference system (an SLD tree) ready. Next up is the borrow checker and parsing the tokenized input to whatever the type inference and borrow checker need to work with, and of course actual code generation...

Haskell is my first FP language, and introduced me to some FP patterns which, turns out, are super useful even with less FP languages.

Wish me luck!

If you wanna learn with me I'd love some company.

If you got some great tips let me know!

I tried to compare Python and Julia by letting them calculate the first 200000000 prime numbers. The result is dumbfounding.
Python: 95.91282963752747 seconds
Julia: 3.847882271

Running a fucking conda environment on windows (an update environment from the previous one that I normally use) gets to be a fucking pain in the fucking ass for no fucking reason.

First: Generate a new conda environment, for FUCKING SHITS AND GIGGLES, DO NOT SPECIFY THE PYTHON VERSION, just to see compatibility, this was an experiment, expected to fail.

Install tensorflow on said environment: It does not fucking work, not detecting cuda, the only requirement? To have the cuda dependencies installed, modified, and inside of the system path, check done, it works on 4 other fucking environments, so why not this one.

Still doesn't work, google around and found some thread on github (the errors) that has a way to fix it, do it that way, fucking magic, shit is fixed.

Very well, tensorflow is installed and detecting cuda, no biggie. HAD TO SWITCH TO PYHTHON 3,8 BECAUSE 3.9 WAS GIVING ISSUES FOR SOME UNKNOWN FUCKING REASON

Ok no problem, done.

Install jupyter lab, for which the first in all other 4 environments it works. Guess what a fuckload of errors upon executing the import of tensorflow. They go on a loop that does not fucking end.

The error: imPoRT eRrOr thE Dll waS noT loAdeD

Ok, fucking which one? who fucking knows.

I FUCKING HATE that the main language for this fucking bullshit is python. I guess the benefits of the repl, I do, but the python repl is fucking HORSESHIT compared to the one you get on: Lisp, Ruby and fucking even NODE in which error messages are still more fucking intelligent than those of fucking bullshit ass Python.

Personally? I am betting on Julia devising a smarter environment, it is a better language already, on a second note: If you are worried about A.I taking your job, don't, it requires a team of fucktards working around common basic system administration tasks to get this bullshit running in the first place.

My dream? Julia or Scala (fuck you) for a primary language in machine learning and AI, in which entire environments, with aaaaaaaaaall of the required dlls and dependencies can be downloaded and installed upon can just fucking run. A single directory structure in which shit just fucking works (reason why I like live environments like Smalltalk, but fuck you on that too) and just run your projects from there, without setting a bunch of bullshit from environment variables, cuda dlls installation phases and what not. Something that JUST FUCKING WORKS.

I.....fucking.....HATE the level of system administration required to run fucking anything nowadays, the reason why we had to create shit like devops jobs, for the sad fuckers that have to figure out environment configurations on a box just to run software.

Fuck me man development turned to shit, this is why go mod, node npm, php composer strict folder structure pipelines were created. Bitch all you want about npm, but if I can create a node_modules setting with all of the required dlls to run a project, even if this bitch weights 2.5GB for a project structure you bet your fucking ass that I would.

"YOU JUST DON'T KNOW WHAT YOU ARE DOING" YES I FUCKING DO and I will get this bullshit fixed, I will get it running just like I did the other 4 environments that I fucking use, for different versions of cuda and python and the dependency circle jerk BULLSHIT that I have to manage. But this "follow the guide and it will work, except when it does not and you are looking into obscure github errors" bullshit just takes away from valuable project time when you have a small dedicated group of developers and no sys admin or devops mastermind to resort to.

I have successfully deployed:
Java
Golang
Clojure
Python
Node
PHP
VB/C# .NET
C++
Rails
Django

Projects, and every single fucking time (save for .net, that shit just fucking works on a dedicated windows IIS server) the shit will not work with x..nT reasons. It fucking obliterates me how fucking annoying this bullshit is. And the reason why the ENTIRE FUCKING FIELD of computer science and software engineering is so fucking flawed.

But we can't all just run to simple windows bs in which we have documentation for everything. We have to spend countless hours on fucking Linux figuring shit out (fuck you also, I have been using Linux since I was 18, I am 30 now) for which graphical drivers for machine learning, cuda and whatTheFuckNot require all sorts of sys admin gymnasts to be used.

Y'all fucked up a long time ago. Smalltalk provided an all in one, easily rollable back to previous images, easily administered interfaces for this fileFuckery bullshit, and even though the JVM and the .NET environments did their best to hold shit down, and even though we had npm packages pulling the universe inside, or gomod compiling shit into one place NOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO we had to do whatever the fuck we wanted to feel l337 and wanted.

Fuck all of you, fuck this field, fuck setting boxes for ML/AI and fuck every single OS in existence

Discovering Julia:

"Wow! It is awesome! It's like a Python but fast, function composition is so useful..."

Then you realize that arrays start at 1:

"WHAT THE F! WHY?!"

If Angela Merkel, Julia Gillard and Bernie Sanders were in charge of the internet, what would change?

It really bothers me.
#juliaGang

So I was reading Julia lang's documentation and got mildly triggered due to this, but then they are not web designing project so I guess it's okay

what the hell this friendo just sent me a 100 line Julia function with variables names like `sauce` and `thingy` and expected me to debug it. And I guess his tab key was broken cause there was no indentation at all. Did I mention I’ve never used Julia in my life? Is this just Julia culture?

What would be the best "hot"/upcoming languages for a final year college project?

The project will focus on reverse engineering.

Basic Example: Intercepting signals from products such as a toy helicopters/drones/etc, reverse engineer the signals and try gain control of the device from that.

That's just a very basic function and there will be much more to it, but I'm struggling to decide on a language to pursue hand-in-hand with this project!

I hear Rust, Go, Julia and co being tossed around a lot.

Any suggestions would be helpful!

Cheers

I really like Julias typesystem, but method dispatch makes it easy to accidentally match against methods you didn't intend.

"Find something you’re passionate about and keep tremendously interested in it." - Julia Child

!rant
Julia's mutlithreading macro is soooo awesome and clean for when you want to do computation work :3

Feeling like learning a new language.

I am between Julia and Scala.

Any thoughts or opinions ?

Opinion: Julia will not catch on, because the two language problem is not a big issue for most people in the industry, and most python data scientist will refuse to migrate.

Do you know Julia language? It's amazing!!!!!!

I just heard about "Julia Programming language" where they're kinda combining speed of C and usability of Python into one language. Just wanted to ask how big is it? Does anyone has anything to share on this topic?

relationship status: in love with Julia

Any good programming language with great generics support that is not dynamic ?

Rust generics sucks so much I puked 2 times.

Tried with swift and it looks great.

Golang doesn’t have them.
Java sucks.

Maybe I try julia if someone say it’s cool.

I want to implement some 2d vector algebra and simple physics engine.

I started by creating generic 2d vector and trying to create dot product from it.

I didn’t wanted to do it in swift but wasted 2 days trying to do it in rust vs 1 hour in swift including 49 minutes of installing swift tools.

Anyway anyone know performant language with good generics support, let me know in comments.

How many languages do you really know... I'd say 7 for myself

"Html" "CSS" JavaScript php "SQL" c# Julia c++ python

bit of c an java (count them as 0.5)

Get on my level 😉 seriously thou, what would you guys say you really know?

Any people using Julia here for something real. Like analysis or building applications? Is it worth learning or should I stick to python and cpp ?

Julia sucks!
It has similar syntax to Python and it's messing with my Python's knowledge.
Thanks to my Image processing subject's professor who preferred Julia over Python, because it's faster! and then he uses a package called Pluto (similar to Jupyter) which makes running Julia code super frustrating.

VS Code is a horror. Every other editor I just picked up and it ran. VS errors out on obscure demands again and again and again. I don't want to spend time learning this POS when I'm learning Julia. What's horrible is Julia developers, such as in Juno are abandoning their own editors to go to VS Code, which is antithetical to the whole idea of Julia - to a be easy to use and replace multiple languages. They abandoned Juno for a hard to use editor whose only feature is multiple languages.

Question: what's your opinion on Julia? It seems promising, the macro syntax is neat. But would you use it for data analysis/management or general purpose development?

What you think about Julia lang ?

Please advise.

So is Julia ready for production use? I like Julia but I keep hearing it is not really mature yet. I would like to use it but I am kinda hesitant. What is your opinion?

Anyone here experienced with Travis-CI? I am getting this error. Please help me out.

ERROR: LoadError: syntax: invalid escape sequence
Stacktrace:
[1] include at ./boot.jl:317 [inlined]
[2] include_relative(::Module, ::String) at ./loading.jl:1038
[3] include(::Module, ::String) at ./sysimg.jl:29
[4] top-level scope at none:2
[5] eval at ./boot.jl:319 [inlined]
[6] eval(::Expr) at ./client.jl:399
[7] top-level scope at ./none:3

This year I and two friends joined modelling competition for uni students called SCUDEM. We are modelling refugee settlements and the crime rate in Uganda. I try to lead the group as the previous year and we changed one team member. The model is written in Julia and it is 2k of working lines after week, we work on it in our spare time.

However, one friend who hasn’t done any bigger project in the past or wasn’t programming for money disagree with the workflow. He prefers doing some small models separately. He doesn’t write clear code and it is difficult to read it afterwards. His ideas are good, but he likes more to talk about the problems than straight code them down in the way that we can use it in the bigger structure.

Do you any ideas on how to motivate him to take part in the collective workflow? I feel that working separately is rather contra-productive.