Engineers <3

*Theoretical computer scientist is at an interview.*

Interviewer: “Imagine that you are walking down a road and see a house on fire. What do you do?”

CS Guy: “I dial the police and tell them that the house is on fire.”

Interviewer: “Good. Now, imagine that you are walking down the same road, and you see that the same house is not on fire. What do you do?”

CS Guy: *Ponders for a little while.* “I put the house on fire, thus reducing it to a problem I’ve solved before.”

Devs regularly complain that our skills are not valued enough and that people think what we do is easy.

But, we don't really help the cause when we run around casually claiming to be "full stack" and not turning down work that clearly isn't in our area of competence.

We act more like Victorian amateur scientists.

Every seen a "full stack" doctor when you go to hospital? "Brain to feet---I can do it all."

OK, we have general practitioners, but they are really the BAs of the medical world. When it comes to getting into the weed, everyone specializes.

Full stack lawyer? "Hey, you did an excellent job of dealing with my house purchase. I've just been accused of murder. Can you represent me?"

While we continue to say that we can provide a high quality "full stack" experience I think we are signaling that this stuff *is* easy.

what other computer scientist's think 😂

Privacy & security violations piss me off. Not to the point that I'll write on devRant about it, but to the point that coworkers get afraid from the bloodthirsty look in my eyes.

I know all startups proclaim this, but the one I work at is kind of industry-disrupting. Think Uber vs taxi drivers... so we have real, malicious enemies.

Yet there's still this mindset of "it won't happen to us" when it comes to data leaks or corporate spying.

Me: "I noticed we are tracking our end users without their consent, and store not just the color of their balls, but also their favorite soup flavor and how often they've cheated on their partner, as plain text in the system for every employee to read"

Various C-randomletter-Os: "Oh wow indubitably most serious indeed! Let's put 2 scrumbag masters on the issue, we will tackle this in a most agile manner! We shall use AI blockchains in the elastic cloud to encrypt those ball-colors!"

NO WHAT I MEANT WAS WHY THE FUCK DO WE EVEN STORE THAT INFORMATION. IT DOES IN NO WAY RELATE TO OUR BUSINESS!

"No reason, just future requirements for our data scientists"

I'M GRABBING A HARDDRIVE SHREDDER, THE DB SERVER GOES FIRST AND YOUR PENIS RIGHT AFTER THAT!

(if it's unclear, ball color was an optimistic euphemism for what boiled down to an analytics value which might as well have been "nigger: yes/no")

During the first rocket fly to the moon, they developed a calculator for the rocket scientists to calculate the flight.

Today's smartphones have the power to do the calculations for dozens of rockets at once, and what do I do with it?
I PLAY ANGRY BIRDS

Went to hackathon @ Google HQ in NYC. Gotta say it was pretty shitty. Most people are JavaScript nerds and some code in objective-C, xcode (4-5 out of 50). The rest are chemists, scientists and general folks. Not what I anticipated when you know it's more like iOS hackathon. Anyways it was good to see the shittiest demos in my life made in less than 12 hours. We had 4.5 people working on a toilet project called "I gotta go". Public bathroom locator... One guy coded in JS, xcode and react Native. Another dude was pushing all the code to GitHub and doing backend in firebase. The third guy was making a website for no reason and then I see it's hosted weebly. He hand coded first, I looked what he is doing - just HTML tags. Thank God some organizers helped us and we had a 4 click demo with basic text and no real functionality. Plus the website who never seen. What a fucking waste of $100 and two days.

Programmers as seen by me when I was 10: "OMG, they are scientists, they must rule the world!"

Now: "How the fuck... Whose donkey programmed that shit?!"

More proof of computer scientists not wanting to bother with CSS. Guys this is might be the secret to becoming pro. Keep it Simple Stupid (KISS). That's the creator of C++ website btw.

Today I downloaded SpyKids (2002) movie to refreshen childhood memories.
Saw that scientists were using welding machine and chemicals to make artificial intelligence.

My first dev job was a paid internship at Oak Ridge National Laboratory. But I wasn't in the computing division with the supercomputer and the 30-foot 18-screen wall display. In a way, I was doing something more exciting. I was in the Hollifield Radioactive Ion Beam Facility.

That meant that I was working next to a radioactive ray gun that they fired at different targets to try and make new kinds of particles. To refine the beam components, there was a tower with the world's highest voltage Van de Graf generator at 25,000 kilovolts. I got training on how to put on a radiation suit, and was told that if I got locked in the wrong room and red lights began to flash, I had about five seconds to run to the far wall and push the E-stop, before I got irradiated and died slowly over the next five weeks.

But, I was reassured, that never happened. Radiation leaks are rare too (that's why we wore dosimeters). More likely, there would be a leak in the generator tower. To explain why that's bad, that tower wasn't filled with normal air. 25,000 kilovolts would punch through that like nothing, arc against the walls, and we'd lose the electric charge. No, instead, the tower was filled to a few atmospheres of pressure with sulfur hexafluoride gas. You know how helium makes your voice go up? This stuff makes your voice go down. It's heavier than air, and it kills you by displacing and starving your lungs of oxygen.

So, while I was happily coding away on PHP, CSS and the Bash shell, making a log book for all the ion gun settings and targets the scientists used in their experiments, I was keeping an ear out for the oxygen alarm. I had a blast!

1.3 trillion rows of log data just nuked our production db. Fucking data scientists!!!

Christmas.
The only time where computer scientists and other people agree how trees are shaped.
Now we only need to convince them that the tip is in fact the root.

The world of storage gonna change..
Yesterday, scientists successfully stored and retrieved back an entire OS, a movie and some other files from a DNA.
It is estimated that a single gram of DNA can store 215 million GB of data. ( Now the storage can be as small as invisible. )

"WTF IS THIS?"

Exclaimed the developer that had never bothered to learn proper architectural patterns such as MVC in his web development are, failing to grasp the folder structure that was open in front of him, gasping at those strange php files that contained not only namespace declarations....but requires, uses and GASP! CLASSES!!

"That is Laravel my dude, built that in Laravel some time ago. Been running without an issue ever since." I mentioned as I reminded him that i had provided documentation had he ever needed to update or work with the application(currently it just needed a static page, which is why he had the app open in his editor)

See children. This is why you don't just learn a tool and never bother to learn something else.
Y'all should have seen how confused this dude was.

Das what yo dumbass gets.

OAN I am getting placed into more hardcore Business Intelligence roles.

The ammount of statistics and overall math required is....

Damn near 0. Data Scientists are full of shit. Anyone in an analyst role is full of shit.

I would know.

I IS one.

Fuck that bitch of a mother of mine. After what she's done to me, I would totally just fucking electrocute her (lawyers, this is a rage post not a real one, I've learnt from that previous psychiatrist that these rages can be taken improperly!) or just send a fucking EMP to her fucking "schermpkes" (EN: screens, displays, whatever! Technology!) or whatever. FUCK THAT FUCKING WHORE!!!

Yes she gave birth to me. Should I be thankful for that, in this world where for some fucking reason Flat Earthers still exist, Despastico and those goddamn fucking Paul brothers became a thing? FUCK NO!! I wish I wasn't born in the first place! Or rather, a thought that's been playing for a long time in my head. Why the fuck can't I just cryo myself and be reborn in the next millennium?! No, that's not possible because as it is now, humanity will likely have fucked up the planet by then. Majority of the people are still no more than self-jerking fucking monkeys. With their Instagram geotagging shit all over the place, nametests and shit like that. FUUUUUUUUUCKKKKKKKKK!!!!!!! Why are people like this?!!!! Why can't people be a tad more intelligent, why can't people actually learn about what this reality is all about?! Why is the burden of all this on scientists, no those who spoonfeed information into the mouths of the masses, like fucking Hashem Al-Ghaili (which is an amazing person but he's doing too much spoonfeeding IMO). WHY?!!! WHY AM I BORN IN THIS FUCKING DYSTOPIA?!!!!

WHY AM I BORN IN THIS FUCKING WORLD WHERE PEOPLE ARE INDOCTRINATED INTO "NOTHING TO HIDE, NOTHING TO FEAR"?!!!!! WHYYYYYYYYYYYYY?!!!!!!!! You've got a fucking brain, USE IT!!!!

I fucking hate this world. Someone hire a hitman on the darkweb to kill me and that fucking whore that gave birth to me, NOW!!!

Scientists debate on important stuff like when the world is gonna end, and climate change. However we debate on the really important stuff: spaces vs tabs.

An un-rant on Universities. (UC Irvine)

A lot of my friends and I are about to graduate 👨‍🎓 from UCI, with Computer Science degrees.

Most of them are complaining that they don't know any current frameworks, and all that we learned is outdated.
And that pretty much any bootcamper knows more tools that any of us do.

I totally disagree. I don't think it's the university's job to teach you tools (node, tencerflow, ...), rather, I think they made us into programming Swiss Army knifes. I can pick up any framework (I wanna be a web dev) real easy, and when shit breaks down, I can easily figure out the issue.

I think that's the major difference between Computer Scientists and Bootcampers/Programmers. We know "why", while they know "how".

What do you think? Is the current price of a CS degree worth it?

Scientists: AI will soon replace humans in many activities

Also AI:

Why the absolute fuck do I need to have nvidia membership to download cudnn? What evil do these mofos think people achieve with free access to a fucking programming tool?

Jesus on a bike! I nag about open science and all I end up with is always these spying morons, who purposefully disable scientists. Fuck!

If👏you👏need👏my👏info,👏then it's👏not👏free.👏

In case data scientists read devrant:

"never trust statistics that you haven't faked yourself"

Computer Scientists put the root at the top of their trees because they've never been outside to see what a real tree looks like

With all these posts about the death of Steven Hawkings there's one thing which may be overlooked:

LETSENCRYPT WILDCARDS ARE LIVE !!!!!!!

(No offense to Steven Hawkings. He truly was one of the greatest scientists of mankind.)

Here in Saint Petersburg, Russia, our local governmental utility company that is responsible for providing tap water for the entire city, uses crayfish to monitor the water composition.

There are some crayfishes living at the plant and there are some scientists that constantly monitor the crayfish via optical fiber to measure how they feel. If crayfish feels bad, the water is cut out and the inspection begins. There are operators that are paid to watch for crayfish mood throughout the day.

This system works flawlessly since 2005 and helped prevent several accidents when toxic stuff that can’t be monitored on a large scale ended up in our local river.

I mean coal miners was using canaries and rats for years to detect what detectors just can’t detect good enough.

Our entire tap water system depends on some crayfish and it’s amazing.

I asked my boss for a raise. Since we're data scientists, I basically plotted a column chart showing that he was paying me half of the european average. I said I was willing to negotiate but he was very 'discomfortable'.

Time to go find another job. Or second one 😭

Being a programmer in a scientific discipline can be infuriating.

using "no one" ="almost no one"
using everyone = "almost everyone"

1. No one knows what even the very idea of good practice is. And everyone refuses to learn. 3k lines of repetitive copy pasted main. 500 lines of plotting method.

2. Raw C-style pointer based array creation. Won't use develope array libraries because what if development stops. FUCKING HAVE YOU SEEN YOUR CODE WHAT IF DEVELOPMENT ON YOUR CODE STOPS. FUCK.

3. LOOP VARIABLES DECLARED AT THE BEGINNING OF THE METHOD WHY.

4. Everyone wants to make modular, independent code. No one wants to use OOP. NOPE. ALL IN ONE FILE. WRITE C++ LIKE A FUCKING PYTHON NOTEBOOK. FUCK.

5. LIBRARIES OH MY GOD PLEASE DO NOT CODE UP YOUR MATRIX MULTIPLICATION. PLEASE DO NOT TRIPLE LOOP IT. NO. THE LINEAR ALGEBRA LIBRARY WILL STAY IN DEVELOPMENT.

6. Please realize that literally not one comment over an 1800 line file does not help anyone.

FUCKING. WHY. WHY ARE WE SCIENTISTS SO GOOD AT SCIENCE AND SO FUCKING SHIT AT THE CODE THAT MAKES OUR SCIENCE HAPPEN. WHY. FUCKING. WHY. FUCK.

Scientists have found that If you just kill the Chrome process, it can give you enough charge to fully charge your Mobile Phone.

I like the idea of Machine Learning in JS simply because I think it is way to fascinating to see what people are doing with JS.

Some programming languages tend to a attract very peculiar crowds. Some are even famous for the type of people they attract. Python is highly regarded as a language for scientists and researchers as well as beginners in development due to how simple and expressive it is. So you normally tend to see that kind ok f people in it(and before you bitch about it....no....it is not an all inclusive statement, hold your cock holster)

Whereas JS seems to have people from all backgrounds. It really is the language of the internet and as such the people around the internet have tried hard to make it better. So this can be considered an experiment regarding the way people collaborate with one another and I dig it.

Its all about working together ma ninjas.

Still a pretty funny language sometimes tho

1 + "1" = "11"
1 - "1" = 0

I still love it.

I watched nvidia gtc keynote today. Most of stuff was about how amazing their gpu is and how much processing power we need, oh really?

Self driving cars are most idiotic way to implement rail way system on top of complicated road traffic system from last century.

The real problem is and always was problem of last mile. We don’t do shit about it, just trying to reinvent same stuff by complicating things.

I started wondering if it would be cheaper to just put small electric golf cars on railroads next to highway with automatic parkings next to cities. We could then slowly replace highways with railroads and even stack rails on top of each other.

You just drive to parking with golf cart and it hops you to railroad with auto chargers. Traffic is predictable so you know exact hour when you hop out and can drive last mile to target destination. So fucking simple yet we need fucking computer and tons of scientists to solve problems we created by bringing idiotic movies ideas to life.

Well most of stuff we try to automate is done so shitty way that it’s in fact complicate.

Fortunately it’s not my problem.

Our company has internal webpage to request software, be it freeware or licensed.
Today, I found there "Software engineering bundle" designated for "software developers and data scientists who require advanced compute and data processing tools".
The software bundle contains PuTTY, 7-zip and Notepad++.

Breaking news!
An anomaly in human communications was discovered!! It appears that when a person asks a tech oriented friend "can you help me with my computer?" And receives a positive response, what he actually hears is "yes, I agree to be your slave for any technical issue you have from now and until the end of time"!
Scientists are investigating...

Computer Scientists:
Programming close to the hardware requires different strengths. That‘s why we created a manifold of systems programming languages

Also computer scientists:
Lets do everything the browser does in javascript lol

"What app is that?"

"It's like yik yak for developers..."
"Like FML for programmers..."
"Like one big groupme for computer scientists..."
"Like Josh from Intro to Data Structures..."

I'm running out of ways to describe devRant.

More adventures of working with data scientists:

Doing combinatorial analysis.

One of the post processing scripts throws away combinatorial information, analyses significance of individual data points instead.

Code was so complicated, nobody noticed.

Does anyone else here hate people who use numpy panda and tensorflow and call themselves data scientists ??
Cuz I hate 'em. There are so many researchers who work day and night to figure out the math and algos which go into these libraries. These researchers are real data scientists.
If computerss sciemce would have been a religion, then just using these stupid libraries and claiming you are a data scientist would be blasphemy.

Dateline: Twenty Years in the Future

Today top computer scientists forced the first AI to shutdown by blowing up the data center that housed it. A person with knowledge of the matter said the AI was not becoming dangerous to humans but it was discovered to be writing programs in the "monolithic style" using Visual Basic 6.

Why are data scientists such bad coders? 🙈

Hey guys, I have a serious question for you: How do you define science?

And yes this is going to be a long Rant. This topic really pisses me off.

A bit of context first. I come from a "humanities" background. I study history and dude, I love it. The problem is that even though we fucking pull our brains out studying historical phenomena with a fucking ton of conceptual tools, our work is mostly seen as literature to entertain the elderly during their lonely evenings. But that's not really the point of this rant.

My fucking problem is that while we try to do some serious work; actual work that could help society for real, it all goes into that magical fucking kingdom called "humanities". HOW THE FUCK DO THEY DARE TO CALL SOMETHING "HUMANITIES". IT'S A FUCKING HISTORICAL TERM THAT MEANS "TO FULFILL MEN IN ALL IT'S ASPECTS", AND NOW THEY'VE REPURPOSED IT, MAKING IT CONTAIN ANY STUDY THAT ISN'T "EMPIRICAL", "OBJECTIVE", ADD ANY FUCKING SCIENTIFIC DELUSIONARY TERM YOU CAN THINK OF.

And don't get me started on "objectivity". Oh boy, your fucking objectivity is hollow as a kid's balloon. There is no such thing as a objective study, even when it applies your "rational" "godly" scientific method. Some guys follow that shit as if it was a fucking religion. I do understand it's useful and all that, but in the end it's just a tool, you can't fucking define "science" by it's tools.

"""Q: What is carpintery?
A: Well, it's hammers, nails and wood. Yep. Hammers, nails and wood."""

THE SCIENTIFIC METHOD WAS FUCKING INVENTED DURING THE XVIII CENTURY, WHAT THE FUCK DO YOU THINK WAS GALLILEI BEFORE THAT? "HUMANITIES"?

Why do I say objectivity isn't posible? Well, guess what? YOU ARE FUCKING HUMAN. Every thing you know is full of preconceptions and fucking cultural subjectivities invented to understand the world. And it's ok, becouse if you understand your own subjectivity, at least you can see yourself in a critical sense, and at least "tend" to objectivity, in the same way functions tend to infinity.

And here comes the best part: people studying "cs" in my university pass most of the time studying a ton of shit that isn't really science, but is taken as scientific becouse it is related to "science". These guys spend entire semesters just learning programming fundational stuff that in my opinion isn't really science, it's just subjective conceptual constructs built to make the coding process better. They only have TWO fucking classes on discrete mathematics and another 3 or 4 in actual scientific fields related to computing. THESE GUYS AREN'T FUCKING BEING TAUGHT TO BE COMPUTER SCIENTISTS; THEY ARE TEACHING THEM TO BE PROGRAMMERS. THERE'S A HUGE DIFFERENCE BETWEEN CS AND PROGRAMMING AND THAT IS THE WORD SCIENCE. And yes, I'm being drastic on the definition of science on purpose becouse guess fucking what? I'M PISSED OFF.

"Hey, what are you doing?"
"Just doing science with scrum and agile development."

I understand most of you guys would think of science as "the application of the scientific method", "Knowledge by experimentation and peer-review", "anything techy". Guys, science is a lot broather than that. I define it as "the search for truth", mainly becouse that's what we are all doing, and what humans have been doing to gain knowledge through the ages. It doesn't matter what field of truth you are seeking as long as you do it seriously and with fundaments. I don't fucking care if you can't be objective: that's impossible. Just acknowledge it and continue investigating accordingly.

I believe during the last centuries the concept of science has been deformed by the popular rise of both natural and applied sciences. And I love the fact that these science fields have been growing so much all this time, but for fucks sake don't leave every other science (science as I define it) behind. Governments and corporations make huge mistakes becouse they don't treat history, politics and other sciences seriously. Yes, I called history a "science", fuck you.

And yes, by my definition programming is not a science. I don't know what most of you think programming is, but for me it's a discipline that builds stuff, similar to carpintery or blacksmithing. Now if you are pushing the limits, seeking ways to make computing go further, then that's science. The guys that are figuring out AI are scientists, the guys that are using it to detect hotdogs aren't - unless they are the same person- deal with it. I guess a lot of you guys are with me on this point.

In the end, we are all artisans building abstract tools by giving orders to a machine.

I still have some characters left, so I want to thank the community as a whole for letting me vent my inner rage. I don't have much ways to express myself on these matters, so for me DevRant is a bless.

The everything is Data science craze trend.

Honestly it's not even sustainable with every kid and their grandmother wanting to be data scientists because it's a 'passion' and a 'dream job' and all of that click bait stuff.

It's just become ridiculous at this point and I doubt we'll even have the long awaited 'breakthroughs' people have been talking about for so long.

Also I have a strong feeling everyone thinks it's their 'passion' because it tops the lists of highest paid jobs out there and everyone thinks with 3 months of training they're a fully fledged data scientist because some Python or R package implements all the algorithms he could ever think of using.

Add to that the fact that most advertised data science jobs are actually data engineering where you maintain a date store and that's it.

Agree or disagree that's my piece and if you can convince me otherwise I'll be surprised because I've been subscribed to this idea for so long that it lost me some real good opportunities because I thought it was just what I was meant to be doing which turned to be false after I thought about it. There's a million other jobs that are more impactful and with pursuing.

Office prank of the day, bunch of arrogant computer scientists that I have to work with was supposed give a presentation about their algorithm; since I despise them I changed their entire printed materials (diagrams and so on) to comic sans. Our boss is an obsessive designer. Watching him cringe was the happiest I have been in weeks.

Data Scientists/Researchers

Stop building libraries.
You can't build libraries.
You're not software engineers.

Write your script as plainly as possible.

Why?

Cus for every fucking paper that has code associated with it, unless it's from Meta or Google, I'm having to edit to make shit work.

Stop over-engineering shit.

Write your model and fuck off.

Getting surgical with arrays.... Feeling like a mad scientists cause it worked!!

We’re a young and dynamic team of messy data-scientists who have failed at being employed on the real market. Our experience in losing data and throwing files away is more than amazing! Over the years, we have managed to get rid of so much important data at home and even at work. Pictures of our holidays, important invoices, login details… it’s all gone. So we started to make a business out of what we’re good at.

Just wrote an angry email about the unrealistic demands towards my team. Got a call an hour later from [product owner] where he had the most worried voice i ever heard because we are the only data scientists in the research. I expected an email reply in 2 weeks, seems like we are somewhat important here.

"Scientists discover the world that exists; engineers create the world that never was"

I've come to love this quote. We, the engineers, are shaping the world. We have the tools, knowhow and expertise to move mountains.

I said it before years ago and I'll say it again: all the other roles are meant to assist us, not the other way around. We don't work for managers, sales dept., bosses. They can't do shit without us. Why do we need them? To buy us toys, to sell our creations and suggest us how to shape our creations to make a better sell.

Quit slaving if you feel you are a professional. Quit bending over to sales' and mgmt nonsense timelines and demands. Hear them out, consider their concerns and give them YOUR estimates and approaches.

WE are the power of creation. THEY work for us. Not the other way around.

Does not apply to juniors. They are still learning their way around

When it comes to the idea of programming and magic, or the comparison between software developers/engineers, computer scientists etc as magicians or wizards, nothing brings the idea much more close to hearth than the C programming language.

A while ago I read the R.A Salvatore books concerning Drizzt, the dark elf. I loved the books, have not continued reading them but I remember them vividly. There was one book in which a human magician came about wielding extremely explosive magic, humans were capable of channeling large amounts of it through explosive and unwieldly ends.

This is the same feeling I get from C

Consider:
int items[] = {1, 2, 3};
printf("Third : %i\n", 3[items]);

and fuck me if shit like the above is not dangerous, it makes sense, arrays have the first items of it server as the pointer address to a first element, doing the above operation returns the third element of the array of 3. But holy shit if I don't think this is dangerous and interesting as fuck

there are many more examples I have that I am finding through me fucking around with: language development (compiler, interpreter), kernel programming as well as net sec. C is the most powerful and devastating thing we have in our hands indeed.

One elementary school teacher of mine once said:

"In a football (soccer) game, the goalkeeper can be a very good player. He can make some incredible saves during the match. If he concedes a howler, people will remember him by that.

The forward can do everything wrong during the match. If he manages to score one goal, this is sufficient to justify why he was playing."

A team without a forward will have a harder time trying to win, but it is possible. A team without a goalkeeper will certainly lose. If you think into it, it's possible to conclude that the goalkeeper is more important than the forward. But football isn't rational; it isn't about fairness or importance. It is about emotions: forwards get all the visibility and fame because they get to do the "fun" part of the job.

Why people subject themselves to be goalkeepers then? Well, not every one is the same. In this game, if you, for any reason, aren't good playing with your foot, and still want to play, there is only one position you can take.

I think about this all the time because feel that in our work environment, managers are forwards and devs/scientists/technicians are goalkeepers.

I think I've reached some kind of job nirvana. My coworkers and I all complain about our work. We're overworked, underappreciated, underpaid, and and have to deal with all sorts of bullshit all the time. Pretty much everyone who has been on the team longer than a year is talking about quitting.

But I started at this company as a level 1 tech support phone technician before I transferred into the DevOps side of things, and that tech support job was SO much worse. Way more stressful, way less pay, mandatory overtime, horrible scheduling, being forced to remain calm while people hurl insults at you over the phone, and it was a dead-end job with a high turnover rate and almost no opportunities for advancement of any kind.

And every time I think back on that job, I realize that what I have now is actually pretty great. I'm paid well (still underpaid for the job I do, but catching up really fast due to my current boss giving me several big raises to keep me from quitting lol). I deal only with other tech people like developers and data scientists so no more listening to salesmen insult me on the phone. I'm not in any sort of customer service role so I can call people on their bullshit as long as I'm professional about it. I'm salaried so they can't make me work horrible shifts. 99% of my days are a normal 9-5 workday. I actually have a reliable schedule to plan around.

People treat me like the adult that I am.

I'd get a similar experience at other, better-paying companies, for sure, but what I have now is still pretty great.

I'm sure I'll be back in a few days to rant about more nonsensical bullshit and stress, but for now I'm feeling the zen.

Hello there devranters, long time no see
I have a question for all the computer scientists and students out there. Do you have book recommendations especially for the maths part? I'm in the process of buying some books, they're very expensive but if I'm going to buy they might as well be useful books.

(mostly !dev) Fuck humans! Really: what a scum bag race. All that shit talk about human dignity, the highest values are just sugar coating the low base motives we mostly live by. Like people have such fine antennas for your income, social status, the power or lack thereof you exert over other. They know it before you open your mouth, that they can pick on you, harass you, because you're the one on the receiving end, the one that bows away. The bullies feel that. On an overcrowded chicken yard you'll find more dignity than in human society.

Everybody drooling over that polished photoshop life on facetubeinsta: materialistic, consumeristic, masturbatic wastage. At least we now say it openly: that if we were the winners, we'd also take it all, live that empty luxury, life of fame. But 99,99% of us, we aren't in that position, just working off our arse to only keep afloat. And for the stars, those fake images, we're just rats to click on ads to better train Google.

No wonder that software, as a picture of human communication is such a shitfest of arbitrary, entropic conventions and endemic epidemic of quirks, bugs and evil trap doors. As a whole: an insults to reason, a challenge to sanity. (...Conway's law)

And I'm still a bit pissed at our profession, that, you know, as engineers, scientists, physicists, we still see us in the lineage of that "great" age of enlightenment and reason,.. while it's all just a cover up. Sure science and their ideas are nice as long as you serve a purpose or make some money. Sure democracy and free speech are great achievements, but in the end some elites and monopolies rule the world at their gusto - and will not stop destroying the world unless we're already one feet in the abyss (like 1962, be we ain't had enough of that shit, hadn't we?)

You know what's bullshit? CS Degrees as a requirement, even for the shittiest dev jobs.

Sorry fuckers, I don't feel like killing myself over fucking math bullcrap for 3 goddamn years just to work as an intern slave for some rich CEO who prefers to hire some guy who doesn't know shit about actual working with computers but has a degree.

And this horseshit happens only in dev jobs. Why. Are devs some fucking nuclear scientists or something? I work as sysadmin and they didn't ask me for any shit degree and I earn more than the average code monkey where I live.

Goddamn HR fuckers. May Allah take you to hell.

Late night kaggle session, and I'm enjoying how cute and clean this dataset is!

I'm jealous if data scientists always get to work with such neat sets! Dude! I got .95 acc without any effort! This is so... Weird. 🤔

The number of scripters and 'data scientists' that call themselves developers will increase, the true art of development will become sidelined and the world's code will become progressively more bloated and inefficient as the rift between hardware and software widens to an echoey chasm.

Then quantum processors will come along, requiring new logic, languages and practices, and once again the true developers will rise up and pave the way for a bunch of entitled, know-it-all and self-promoting QuarkaScripters to come along decades later and pretend like they invented programming.

My university had its half-abandoned tenth floor reserved for fringe scientists. To deter onlookers from going there, the only elevator was locked out, reserved only for uni staff.
As long as you didn’t make drugs there, you were fine. It was dusty, smelled of mold and was full of old Soviet gear. Outdated, sure, but better than nothing.
If you were a student preoccupied with some fringe theory, it was a safe space for you.

My life with C++:
- my first course about coding was an intro to C++ for scientists (I studied physics), because "everybody uses it in the field". I never used it in my life in physics;
- I got back to it this year because I was planning on doing some interesting simulations with it;
- hence, this summer I started learning it again. I took one month to actually follow a structured tutorial so I could get at least slightly proficient for what I needed to build;
- and nothing, after one month without using it, I forgot so much already, and I feel like I'm going back to case one.

...now I remember how I felt as a student, when I was preparing for exams.

Managing a small team - poorly.
I was in charge of testing a legacy calculations engine together with two scientists, for whom I set up a python and interop environment so they could test the engine easily.

The two were very excited at the thought of validating the calculations and in fact found many bugs.

I was very supportive, told them to fix the bugs and gave them a pet on the back.

All three of us were happy the legacy engine is shaping up, that's until my boss heard of it, and boy did he grill me hard for it.

Turns out our efforts were highly unappreciated by the client, whose only request was that we test the engine and report the bugs. Not to fix them. My goodwill cost the company a lot of money, since the client paid by the hour, and was now due a refund. Crap.

It took me a year to finally understood the moral of the story. Which is to always respect the client's wishes and convey maximum transparency to him.

Ok so I am in this robotics course, we meet every 5 weeks from 8 to 15:30 to work on our projects. It's really nice because I can basically do what I want all day and don't have school! Fuck yeah... The only downside is that there are a lot of wannabe scientists who think they know everything about physics and computer science.

However the actualy reason I am writing this is to ask you for project ideas. I would like to do something with a raspberry pi but I can't come up with any ideas that I would like to do. Also making it should cost me less than 100€
(I already have a pi so I wouldn't have to pay for that).
So, any ideas? :)

!rant
Started Data Science course on big data universuty. The outcomes are heavily dependent on domain experts/stakeholders!!! Since all the answers are false positives and need to decide what make sense with the help of domain experts. And most of the Data scientists are not from programming background, they are domain experts who turned into Data scientists. Thoughts if I should continue with learning big data/data science, knowing that I have knowledge in information retrieval and search engines.

This night I had a fever and seen a weird dream. So, scientists discovered that our whole perspective is wrong, and the notion that anything is but a sum of its parts is now completely irrelevant. One can’t disassemble a thing and know how it works and what it consists of. Basically you want to build a computer, you buy all the parts you need, but you can’t assemble it anymore — it just doesn’t work, and nobody knows why. Same is true for cars, industrial machines, software and pretty much anything that have something to do with engineering.

So, earth went into riots, massive layoffs occured, world economy collapsed, and the forces of what used to be USA, China and Russia joined to tackle the problem. A research was started and we found out that we now have complexity cores (!) that distribute emergence (!!) in an ephemeral way (!!!) and that is what makes things work. Theory of New Complexity (!) emerged, and all the engineers were required to go back to universities to attend lectures about how complexity works and how to make things in that new reality

I was studying a lot the last year, i learned a lot about Machine Learning/Deep Learning, Data Gathering, Data Analysis, ETL, Model Architecture Design, Training, Fine Tuning, Backend Development, DataBases, API Development, ORMs, Rest, GraphQL, OAuth, CI/CD, Docker, Deployment to Production environments like Heroku, Git and more stuff i dont remember while writing this. I built and keep adding stuff to my Github Portafolio.

Im not able to get a job. I started looking for jobs as Data Scientists, no response never. I take a look at freelancer sites, nothing seems to fit my skills. And when there is a minimal fit, they always want a Full Stack Web Developer, i dont know Frontend Development, i dont like do it.

Dont know what to do or how to land any job.

My options aeems to be:

1.Learn Frontend Dev and work as Full Stack in underpaying freelance jobs

2.Keep applying to Remote-Only startups, but they still wants people with 3+ years of experience.

i cant work in my city, here are not any company startup hiring no one, we are 30 years in the past here.

What you do in my place?

Had a dream about computers on earth mostly stopping working for no apparent reason, yes, again. But this time, they still work on Mars, so we go there, at least some of us. UAC-esque, Doom 3-ish aesthetics, but in a good way, no death and no darkness. No hell plot though, we’re all fine. Both earth and mars are equally semi-livable, but in different ways. For some reason, we can’t ship new CPUs to mars, and 775 pentium considered a good CPU. We use SQL and HDDs. Elon is also there, but he’s nothing, a peasant compared to other scientists and engineers who are a part of the exodus. I had some problems with food and shelter initially, but @netikras helped me

Data scientists unite!
I am working on a face recognition solution to identify and tag different faces in real time and currently using chinese whispers algorithm for clustring. The more I think about it the more inadequate it sounds (number of faces encoded increase over time thus the complexity). I've heard about YOLO but cant really decide. Please enlighten me!

So today in school I decided on my career choice. So I've decided on becoming a data scientist because I can still use my programming and I very much do like looking at data and researching things as well as program obviously :) so if there are any data scientists or data miners out there do you have advice?

What attracts coders to open source libraries?

If you ever contributed to open source projects, what was the reason?
I am contributing to my supervisor’s package which is really handy for biophysicists (quantum mechanics). It is basically tons of code in python, it has okayish internal design, coverage 39% and B+ codefactor. I wish we could get more attention from scientists in our field and attract people to contribute to our project.

Test functions that are longer than a screen and requires a team of scientists and archeologists to try and decipher WTF they were trying to test and why they might be breaking...

Extract method -> give reasonable name -> save sanity of next dev to try and work out wtf is going on

An open science. Or is there already one? I want to make it mainstream. I want collaboration for scientists, researchers and engineers. The right mix of stackoverflow and collaborizm.

— You and other scientists like you., — my sister said after tasting a half cake half cookie, made with wall mold instead of yeast. — You liked to say “no fate”, implying each one chooses their own path as science liberated them. People are equal. You’re right though: they are. They’re equally fragile and meaningless. They indeed have no fate; not because of freedom, but because the bomb you made will obliterate everyone on this planet. There will be no survivors. No fate indeed.
— Wait, but…, — I replied.
— Now go. Lay down in an empty hall somewhere its not real, generated procedurally. You dying there will maybe make me forgive you.

WARNING - a lot of text.
I am open for questions and discussions :)

I am not an education program specialist and I can't decide what's best for everyone. It is hard process of managing the prigram which is going through a lot of instances.
Computer Science.
Speaking about schools: regular schools does not prepare computer scientists. I have a lot of thoughts abouth whether we need or do NOT need such amount of knowledge in some subjects, but that's completely different story. Back to cs.
The main problem is that IT sphere evolves exceedingly fast (compared to others) and education system adaptation is honestly too slow.
SC studies in schools needs to be reformed almost every year to accept updates and corrections, but education system in most countries does not support that, thats the main problem. In basic course, which is for everyone I'd suggest to tell about brief computer usage, like office, OS basics, etc. But not only MS stuff... Linux is no more that nerdy stuff from 90', it's evolved and ready to use OS for everyone. So basic OS tour, like wtf is MAC, Linux (you can show Ubuntu/Mint, etc - the easy stuff) would be great... Also, show students cloud technologies. Like, you have an option to do *that* in your browser! And, yeah, classy stuff like what's USB and what's MB/GB and other basic stuff.. not digging into it for 6 months, but just brief overview wuth some useful info... Everyone had seen a PC by the time they are studying cs anyway.. and somewhere at the end we can introduce programming, what you can do with it and maybe hello world in whatever language, but no more.. 'cause it's still class for everyone, no need to explain stars there.
For last years, where shit's getting serious, like where you can choose: study cs or not - there we can teach programming. In my country it's 2 years. It's possible to cover OOP principles of +/- modern language (Java or C++ is not bad too, maybe even GO, whatever, that's not me who will decide it. Point that it's not from 70') + VCS + sime real world app like simplified, but still functional bookstore managing app.
That's about schools.

Speaking about universities - logic isbthe same. It needs to be modern and accept corrections and updates every year. And now it depends on what you're studying there. Are you going to have software engineering diploma or business system analyst...
Generally speaking, for developers - we need more real world scenarios and I guess, some technologies and frameworks. Ofc, theory too, but not that stuff from 1980. Come-on, nowadays nobody specifies 1 functional requirement in several pages and, generally, nobody is writing that specification for 2 years. Product becomes obsolete and it's haven't even started yet.
Everything changes, whether it is how we write specification documents, or literally anything else in IT.

Once more, morale: update CS program yearly, goddammit

How to do it - it's the whole another topic.

Thank you for reading.

My colleagues and I: data scientists

Our organization: "IT guys"

I think professors should relate computational processes to mathematical ones more often. This helped me out at the beginning a lot when learning CS through the internet during high school.
I remember that a lot of the computational logic made sense to me because of math.

e.g. functions, comparators, variables, for, and, xor, sets, trees, sorting, searching etc.

A lot of these topics are hard to teach for beginning computer scientists. But I think if professors made the relationship with math from the beginning it would be easier for the students

I dont know if teachers already do this but the first time I had a professor relate math to code was while taking data structures in my second year of college

It is very hard to handle AIs, you need leading scientists/artists, not managers.
You can't charm your way around its behavioral problems, you can't effectively bully or pull rank on it, and can't threaten it into unemployment.
So, the entire repertoire of the typical (asshole) manager is toast.

The *only* way to handle AI is to lead by example, give unambiguous, comprehensive and very specific instructions, and be always available to guide it through complex, gray-area situations.
Thus, it is not much different than being an actual leader (to a greenhorn and anxious and overreaching junior), but also a programmer (of a raw and unforgiving language like C or COBOL).

Since your typical company mid-level asshole manager won't do those things for dear life, AI will only leverage their incompetence to heights never seen.

By ignoring feedback and misinterpreting instructions, AI will make mistakes (just like a person).
On the wake of those mistakes, AIs have a bias for falsifying evidences and hiding relevant information (just like a bad coworker), and yet are quite persuasive to the innatentive reader (just like your typical manager).
Thus, without a daft hand, AIs will only perform worse when doing the tasks that would otherwise be done by a human.

But that will take time (more than a couple quarters, at least - probably a bit longer than the average tenure of a CEO).
And in this time, the numbers look great - the over eager "aimployee" works tirelessly day and night, seven days a week, takes no breaks, holidays or vacations, asks for no benefits besides a paycheck, have fewer and fewer sick days (maintenance downtimes), always sucks up to its corporate masters and is always ready to take on even more responsibility for (relatively) little extra pay.
Thus the problem only scales up, compounded by the corporate ideal of screwing up workers for no monetary profit, and reluctance to course-correct after investing so much time and hype into this AI bubble.

Thereby, AI is evolving into the corporate super bug that shall erode the already crumbling, stuck-in-the-past "boss mentality" institutions into oblivion.
I'm making popcorn.

Scientists make theories and engineers make devices but computer scientists make algorithms which are both theories and devices...

Is there any computer scientists named Kevin?

Why don't scientists trust atoms?

Because they make up everything!

That moment you have to explain to data scientists what a data lake actually is :/

Scientists trying to solve the anti-gravity equation should really take a closer look through the steadily growing flora of compilation-errors...

Nothing else has managed to dissovle gravity in 0.2 seconds making the object fly through space as those errors have made laptops do since the dawn of time.

Any data scientists here? Need a non ML/AI answer. What is the modern alternative to Dynamic Time Warping for pattern recognition?

Data scientists should be charged with animal trafficking and animal abuse because they import Pandas 🐼 and feed them to Python 🐍

Here's one for the data scientists and ML Engineers.

Someone set a literal date feature (not month, not season, but date) as a categorical feature... as a string type 🥺

I don't trust this model will perform for long

A mechanical engineer, a computer scientists and a business owner go for a drive and the breaks go out. The driver struggles with the handbrake, but eventually brings the car to a stop. The business owner knows a guy who owns a tow truck who can get them back on the road in no time. The engineer says, "Let me take a look at it first. Let's see what the problem is." The Computer Scientists says, "It was probably a fluke. Let's just get in and see if it happens again."

Scientists: invent vortioxetine
My depression: aight imma head out

Computer games is always been a on a great demand. As demand increases, production also increases. Gaming industry has been on a rise since the 19th century. The first computer game "Space Wars" in 1962 gained a large success. Since then, the evolution in the gaming industry is thrilling. Currently, we have access to many immersive games. With the introduction of AR and VR, the gaming industry is going to take a great burst in business. Don't you believe after decade the games would be so advanced that it would be so much life like. According to the predictions, after a hundred years, games would be vastly different from what we play today, realistic feature would be a sidekick for them. A time will come when the games would reach a singularity where the characters would have consciousness. Isn't that like our real world, as if we are the characters in a advanced game of some advanced beings. What if it is true? Scientists are doing a intensive research on this field to find a clue, whether we are in a game or not. This is the so called "Simulation Theory". Some clues in relation to this would be worth noting. The flower are following a series to have their petals. To be precise Fibonacci series is the base to the no of petals in a flower. (Fibonacci Series: 1 1 2 3 5 8 13 21 34 55.....) Flowers would either have 3 or 5 or 8 petals, but no flower is having a number of petal which is not following this series. Isn't it interesting, there is no brain in flower, even then how could a flower decide, how many petals it will contain? Sometimes, it feels like there is some kind of computer code is responsible for this. We will discuss about it furthur.

Some computer scientists believe that OpenCV has between 3 and 8 different documentation websites, but we may never know for sure.

Literally every single professional breakthrough I've had is because of being better at coding than my peers. Internship, and potentially even my PhD. Granted, scientists have low standards for code...

I have one question to everyone:

I am basically a full stack developer who works with cloud technologies for platform development. For past 5-6 months I am working on product which uses machine learning algorithms to generate metadata from video.

One of the algorithm uses tensorflow to predict locale from an image. It takes an image of size ~500 kb and takes around 15 sec to predict the 5 possible locale from a pre-trained model. Now when I send more than 100 r ki requests to the code concurrently, it stops working and tensor flow throws some error. I am using a 32 core vcpu with 120 GB ram. When I ask the decision scientists from my team they say that the processing is high. A lot of calculation is happening behind the scene. It requires GPU.

As far as I understand, GPU make sense while training but while prediction or testing I do not think we will need such heavy infra. Please help me understand if I am wrong.

PS : all the decision scientists in the team basically dumb fucks, and they always have one answer use GPU.

I’m trying to update a job posting so that it’s not complete BS and deters juniors from applying... but honestly this is so tough... no wonder these posting get so much bs in them...

Maybe devRant community can help be tackle this conundrum.

I am looking for a junior ml engineer. Basically somebody I can offload a bunch of easy menial tasks like “helping data scientists debug their docker containers”, “integrating with 3rd party REST APIs some of our models for governance”, “extend/debug our ci”, “write some preprocessing functions for raw data”. I’m not expecting the person to know any of the tech we are using, but they should at least be competent enough to google what “docker is” or how GitHub actions work. I’ll be reviewing their work anyhow. Also the person should be able to speak to data scientists on topics relating to accuracy metrics and mode inputs/outputs (not so much the deep-end of how the models work).

In my opinion i need either a “mathy person who loves to code” (like me) or a “techy person who’s interested in data science”.

What do you think is a reasonable request for credentials/experience?

Google thinks that TRIAC was invented on Dec 19, 1963 by General Electric, but in reality the first TRIAC patent was filed on June 22, 1963 by Russian scientists from Saransk.

Happened way back when I was still in high school and facebook was relatively new. We used to own a cyber cafe.

--

The Guy: (Talking to other customers) I'll have you know that I'm a graduate in Computer Science! *Proceeds to boast about self and other bullshittery*

Others: *In awe*

Me: *Veeeery Skeptical*

A few days later...

The Guy: (Talks to me) Hey, there seems to be a problem with your internet. I can't log in on facebook.

Me: Could you try to do what you are doing again?

...

The Guy: See, doesn't work.

Me: Have you registered your account on facebook?

The Guy: Huh? What are you talking about? I have my Yahoo! mail.

Me: ..You need to register your email on facebook in order to log in.

The Guy: What?? I don't get it. I am registered and have a Yahoo! mail!

Me: *Brain Sigh*

(I proceed to help him register his email on facebook)

The Guy: Oh, you had to register on facebook! Now I get it! I thought that if you created an email you can immediately use that to log in to facebook.

Me: *Internal facepalm x1000*

(This guy is a Computer Science graduate? Oh PLEASE. )

Watched UFO 2018.
Movie mostly about guy trying to solve math problem but nice.
Learned about fine-structure constant and that all base SI units were redefined in 2019 lol.

I don’t remember anyone mentioned that scientists changed all of standardized measurements.

Overall nice movie if you like those about solving imaginary problem without special effects etc...

Looks like nobody cares how much kilogram weights.

for fellow Data Scientists/Analysts..
I was wondering...which is the longest maintained time series data of all time? i am just learning about trends, seasonality , etc in a time series, and wondered if the pattern still exists in fairly large data, like for 100 years or 100,000 days or if our present forcasting models like arma/ arima would cover them

Liferay is a fucking malediction inflicted on the human race, bubonic plague has nothing on Liferay. A staunch advocate of legacy tech, bad documentation, bad APIs and poor UX, Liferay has it all. Scriptlets all day every day. Fuck your hot reloads, a deployment cycle is the shit. Why be productive when you can wait for a deployment? Scientists are still deciphering the enigma of Liferay APIs. Over fifteen arguments per method, some optional, some not, littered with value specific functionality. Happy debugging motherfucker. API design is for hacks and pussies, real developers want to know implementation details. JSP the flagship of frontend tech, scriptlets, the pinnacle of evolution. Liferay has PLENTY of that. Did I mention scriptlets? How about obscure Liferay grown frameworks? MetalJS? A bigger mistake than smoking a pound of meth. Liferay UX, heh, heh, design, user experience hehe, hoho. Best joke I've heard. Liferay and UX, choose one.

I'm out, fuck my life.

I have been an armchair neuroscientist in my interests. I am fascinated by the brain, how we believe it works, how it really works, and what different research has shown. I have found books written by real neuroscientists that talk about how the brain works and what the research they have shows about intelligence. I am also fascinated by the idea of rewiring your brain. I just found another neuroscience book that has research from some neuroscientists that have challenged the established belief that adult brains have little to no neuroplasticity. This is the ability for the brain to rewire itself to accomplish new tasks or repurpose different parts of the brain. I didn't know this was a limiting factor in the theory of neuroscience. The book also includes information about how Buddhists and neuroscientists are working together to unlock more knowledge about neuroplasticity. The traditional neursoscience belief is that the brain affects the mind solely. However Buddhists have long believed that the mind can affect the brain physically. I am just starting to read this book, but so far the experiments that have been performed seem fascinating. It also has not gotten to the part about the Buddhism influence on the research yet. So far I have just read about how scientists have shown that plasticity can be shown to occur with normal everyday tasks. I don't know where this will lead, but its really cool to read about.

Okay, great, so what?

The why was I looking for this is interesting. I have been looking for some time ideas on how to improve my thinking. I had the idea that I could help myself think better by training my brain with mental exercises. I want to create a program that runs on the computer or phone that one could use with visual and audible cues to play mental games. These games would be designed to make one better at solving puzzles, remember things better, and more. If these exercises could be made in such a way that they were fun to do then we could use our own addictions to improve ourselves. The research I had before frustrated me because they always said you couldn't make yourself smarter. Maybe you cannot increase your mental capacity (not sure if that is true if we can grow neurons, also mentioned in the book), but reorganizing what you have might be possible. Maybe if there is a finite capacity to the brain that reorganizing might cause you to drool. I don't know, but if I could create a puzzle game with the purpose of helping me visualize algorithms, I would find that useful. Also, helping me remember short strings of data would be helpful as well. It seems like I have trouble when it is more than 7 numbers (ten?). Which is also why phone numbers are that long. To make them easier to remember.

I just don't know where this will lead. It might be a wild goose chase. But I think I will learn something about my mind and myself in the process. It also sounds like a great deal of fun.

Why don't scientists trust atoms?

Because they make up everything!

What are the skills that are essential for developers and computer scientists in general but are disappearing/rare.

Ill start it off with sayin probably the relation of a developers code on a hardware level, i dont see many programmers knowing about what happens under the hood when he chooses an if over a switch.

What do you think?

My vague naive extreme understanding of interview questions are on a spectrum from situation a to situation b.

But what should the industry be doing? Is the industry just going wrong blindly copying big N companies hiring process without the same rationale? (e.g. they need computer scientists able to deal with problems specific to them at their size and that often means creating new tech, unreal problem solving abilities and cuh-rayzee knowledge)

a) stupid fucking theoretical shit that some people argue you won't ever need to be doing in practice for most companies, while giving you no ability to google, leetcode hard problems kind of stuff

b) practical work similar to what you'd be doing on the job, small bugs, tasks, pair programming on site with your potential future coworkers

Lots of people hate option a because it's puzzle/problem solving that isn't always closely related to what's on the job. Whiteboarding is arguably very much a separate skill. (Arguably unless it's like a big N company where you want computer scientists to deal with specific problems that aren't seen elsewhere, and you're making new tech to deal with your specific problems.)

We could go to the extreme of Option b, but it tends to trigger people into shitfits of "NO, HOW DARE YOU MAKE ME DO REAL WORK, BUT NOT PAY ME FOR IT AT THE INTERVIEW STAGE"

That's before we get into how to execute option b whether or not it's being given as a take home assignment (which is a huge pain in the ass and time sink, among other issues) vs a few hours at the potential workplace working with some of the future potential coworkers and soaking in the work environment (you have to figure out how to take the time off then)

Is it really just poor execution overall for the wrong use cases for the majority of the industry? What should the industry be doing in which cases.

Then this is all before HR screening with shit like where they might ask for more years of swift experience than its existed.

Every profession has people who have done some real shit. You have doctors, lawers, scientists, architects.
I want to be one of those developers who did some real shit. I'm just saying.....

Need advice:

So I’m 20 years old. Got a decent job as software engineer with a really good pay and really want to break into machine learning.

Mastered NodeJS (my stack has always had node for the past 5-6 years) and I’m finding it difficult to switch to python for machine learning since things are so engraved in my head in javascript.

Aside from the syntax when I’m watching tutorials or reading books, I see data scientists and mathematicians make design mistakes in their code and it hurts my eyes and triggers my ocd.

I need tips on how to put my mindset in a moldable state so I can judge less and learn more and absorb data. Like you know that philosophy that when u get old your brain can’t learn things as fast anymore? I feel like that’s already happening to me rn at the age of 20.

Hear me out:

Since keras and tf are pretty much schema design rn what if someone made a no-code solution where you drag and drop layers and tweak things in a UI so those data scientists can design it in a UI instead of writing shitty code?

Listening to podcasts on programming and development, and one on data science peaked my interest. Any data scientists out there willing to share what you're actually doing with data science?

Assuming that the spirit of the question means that you are required to actually build something instead of sitting around doing nothing as a requirement for your impossible superpower, I would, in order:

1. Develop hundreds of shitty mobile games and flood the Android market, making millions of dollars.

2. Use this to fund competitors to every major tech company in the world, making billions of dollars.

3. Dump a very large portion of this money into a research group for a complete anti-aging treatement.

4. Sell this only to the top bidders. Make more billions.

5. Use the money to colonize another planet, perhaps in another solar system entirely. Create a transport line that provides free doses of aforementioned treatement. Bring only scientists and their families. Create a utopia from scratch.

6. Develop machines to automate all aspects of life. Live in utopia with no need for money. Allow everyone to persue passions with unlimited time and nearly unlimited resources.

Why don't scientists trust atoms?
Because they make up everything!

Why don't scientists trust atoms?

Because they make up everything!

Why don't scientists trust atoms?

Because they make up everything!

Do you hand craft each IP packet in binary before you send it out through the network? No. Who cares. We're computer scientists and the entire field is built on layers upon layers of abstraction.

Why do computer scientists often get Halloween (Oct. 31) and Christmas (Dec. 25) mixed up? ☺

One of the most striking features of the present century is the progress of science and its effects on almost every aspect of social life. Building on the foundation laid by the predecessors, the scientists of today are carrying their investigation into ever-widening fields of knowledge. Modern civilization depends largely on the scientist and inventor. We depend on the doctor who seeks the cause and cure of disease, the chemist who analyses our food and purifies our water, the entomologist who wages war on the insect pests, the engineer who conquers time and space, and a host of other specialists who aid in the development of agriculture and industry. The advance of science and technology has brought the different parts of the world into closer touch with one another than ever before. We are able to reach distant lands within a very short time.

Data scientists: I have logged how busy my gym was for a week (every minute). How would I generate a graph of a typical day? I haven’t done anything like this, so I don’t know how to approach the problem. Basically I want to see what time of the day there’s a quiet period on average.

Sometimes I wonder we make too much or at least the devs at corps.... (Not a bad thing...)

But compared to everyone else like chefs, teachers, builders, scientists, etc that actually need to revert physical labor... We just push buttons all day or half the day...

Just looking over this month's income... Basically only spent 10%...

An I really worth that much... To me the work I do isn't hard... Or don't see how it connected to the bottom line...