*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.”

Anyone looking for something interesting to do???

Step 1) understand how basic circuitry works on a bread board nothing too fancy. ( Implement NAND, AND, ADDER, SUBTRACTOR)

Step 2) learn about microprocessors and how OS works

Step 3) learn assembly

Step 4)write a basic assembler and understand how loaders and linkers works !

Step 5) write a kernel with very basic features like memory management and process management and some drivers for IO

Step 5) write an emulator for some simple systems .! ex chip-8.

Step 6) read about compiler theory and automata

Step 7) write a basic Python interpreter that compiles (not interpreter) to native assembly.

Step 8) implement TCP stack .

Step 9) learn as much as u can about complexity measurement ), data structures and algorithms using C or C++ it's very important ( familiarity with pointers and thus computer memory )

Step 10) learn any high level language of choice like Python or Ruby.

Step 11) stop debating over tabs vs spaces , emacs vs vim , angular vs vue, php vs Python , OOps vs procedular vs functional ( just know about all of them and when to use but don't fucking debate over which one is superior )..

Step 12) live happily and be healthy.

It may not look like it, but the fact that these lights are on means that my breadboard computer will work, in theory

I've found sites like Udemy/Khanacademy/Codecademy/Brilliant/Edx to be very useful — possibly more useful than expensive education.

But they still need:

1. Better correction/update mechanisms. Human teachers make mistakes and material gets outdated, and while online teachers are rectified faster than classroom teachers, the procedure is still not optimal. Knowledge should be a bit more like a verified wiki.

2. Some have great interactive coding environments, some have great videos, some have awesome texts, some have helpful communities. None has it all. In the end, I don't want to learn a new language by writing code in my browser. It could all be integrated/synced to the point where IDEs have plugins which are synced to online videos, with tests and exercises built in, up to a social network where you could send snippets for review and add reviews to other people's code.

3. Accreditation. Some platforms offer this against payment, but I think those platforms often feel very old school (pun intended), with fixed schedules, marks and enrollments. Self paced is a must.

4. Depth is important. Current online courses are often a bit introductory. We need more advanced courses about algorithms, theoretical computer science, code design, relational algebra, category theory, etc. I get that it's about supply/demand, but we will eventually need to have those topics covered.

I do believe that for CS, full online education will eventually win from the classroom — it's still in its infancy, but has more potential to grow into correct, modern education.

My second year of high-school, we started having class in computer science. I was really looking forward to it cause I always wanted to learn programming.

On first sight it appeared that the professor which taught the class knew something, he looked like a genuine geek with those dorky glasses, briefcase and pants like Steve Urkel, but after couple of his lessons you could see he had no real dev experience and just basic understanding of programming in theory. He was more reading stuff from the book than he was trying to explain them to students and give some real world examples.

So it was just one these days, everybody got back from vacation, it's hot outside, the guy is just reading sentences from his book, half of students talk with each other and other half doesn't give a fuck about him or his class. Pretty sure I was the only one trying to listen to him and learn something from his recitals.

All of a sudden he notices the atmosphere in the classroom, slams the book shut, gives out couple of F-s to the loudest students and yells out loud "NONE OF YOU IN THIS ROOM WILL EVER ACCOMPLISH ANYTHING IN YOUR LIFE, BARE ALONE IN PROGRAMMING"

At first I felt like shit, but soon after that I started thinking "who the hell are you to tell me what I could or will accomplish in my life". Couple weeks later I've bought myself a first book in programming and started learning C++ late at night since I understood that I won't learn anything about programming in that school. Two years later I was correcting this same professor with his claims on a whiteboard in front of a whole class.

Today, seven years after his words I'm a developer living in foreign country with what I could say somewhat a solid experience and understanding of how both software and web are build, while that same professor still recites to his pupils difference between assembly and object code, while praying nobody asks him where and how these are used. For maybe a quarter of my paycheck. So much about his psychic powers..

I realized it that the only time I talk confidently with a girl is when I am solving some technical problem or helping her understand some computer theory.

Pre and Post - this phase, I can hardly find any topic to talk and later they are also done talking to me.

Should I consider to search on how to talk to girls??
Google already suggests that even in incognito mode.

Is there someone else with me in the same boat?

Yesterday, after six months of work, a small side project ran to completion, a search engine written in django.

It's a thing of beauty, which took many trials, including discovering utf8 in mysql isn't the full utf8 spec, dealing with files that have wrong date metadata, or even none at all, a new it backup policy that stores backups along side real data.

Nevertheless, it is a pretty complete product. Beaming with pride I began to get myself a drink, and collapsed onto the floor, this caused me to accidentally hibernate my computer, which interrupted the network connection, which in turn caused an OSError exception in one of my threads, which caused a critical part of code not to run, which left a thread suspended, doing nothing.

From the floor I looked at my error and realised my hubris and meditated on my assumptions that in theory nothing should interrupt a specific block of code, but in reality something might, like someone falling over...

I've seen a job vacancy that asks for the following characteristics in a developer:

- extraverted, do'er (as opposed to thinker), out-of-the-box, curious, sees solutions and not problems, structural thinking vs. theoretical thinking, loves change, acts immediately, makes choices under stress, critically questions themselves if things go wrong

What the [censored] kind of programmer is that? Sounds more like a wannabe brogrammer type.

A typical, real programmer is introverted (for he is introspective, detail-minded and is therefore good at inspecting problems and finding solutions for them).

Seeing problems is not a bad thing, it's in fact necessary to be able to identify issues and not act like your typical manager who only wants to rush to solutions. He thinks deeply and theoretically before he takes action. Theory is the foundation of identifying a problem.

What programmer is stress-resistant? It's not normal for the human brain to be able to deal with stress; this is why switch-tasking is so hard.

Question yourself if things go wrong? Perhaps, but this sounds more like trying to shove the blame around.

Since we live in a rigid computer world with rigidly-defined protocols (say, HTTP), it is often useful to think in a conventional way. Out-of-the-box? Sure, if you're being innovative, or sure, as a tangential characteristic.

In my professional opinion, this vacancy reeks of bad corporate culture.. and the biggest alarm bell I find is: "There is free beer!" Err.. yeah. Anyway.

Most kids just want to code. So they see "Computer Science" and think "How to be a hacker in 6 weeks". Then they face some super simple algebra and freak out, eventually flunking out with the excuse that "uni only presents overtly theoretical shit nobody ever uses in real life".

They could hardly be more wrong, of course. Ignore calculus and complexity theory and you will max out on efficiency soon enough. Skip operating systems, compilers and language theory and you can only ever aspire to be a script kiddie.
You can't become a "data scientist" without statistics. And you can never grow to be even a mediocre one without solid basic research and physics training.

Hack, I've optimized literal millions of dollars out of cloud expenses by choosing the best processors for my stack, and weeks later got myself schooled (on devRant, of all places!) over my ignorance of their inner workings. And I have a MSc degree. Learning never stops.

So, to improve CS experience in uni? Tear down students expectations, and boil out the "I just wanna code!" kiddies to boot camps. Some of them will be back to learn the science. The rest will peak at age 33.

Me after a long coding session with a well prepared working flow: I am such a great computer scientist, I can conquer the world.

Right after that I found a repository for computer science papers and got immidiately hooked. Well, the level of knowledge and theory is so immense that it brought me back to ground of reality again: I know so little that it is almost ridiculous, even if I read and code 16 hours a day I may never understand computer science as a whole.

Le me sad.

The state of informatics education is just saddening.
You study "Software Development" and then you get to do exams asking you to do some basic linux commands - with full internet access on a computer. People are allowed to fail this and study on. On the other hand you have to do real coding with pen and paper, have to calculate from hex to bin to dec and stuff and most Importantly - know about all kinds of math stuff completely unreleated to cs.
Graph Theory absolutely makes sense in my eyes, but not if it's plain fucken math without even mentioning computers or applications of it. But if you fail that everyone looks weird at you.

I know about coding. I got A's and B's in all the coding exams _without even doing much for them_ but then fail all the fucken math exams. Makes no sense. FML.

iPhones are ridiculously picky when it comes to finding a mate- um charger. And knowing why doesn't really make it any easier to understand why. If anything it baffles me more.

So, let's start with appliances that are not phones. Think Bluetooth headsets, keyboards, earbuds, whatever. Those are simple devices. They see 5V on the VCC line and 0V on ground, and they will charge at whatever current they are meant to. Usually it will not exceed 200mA, and the USB 2.0 spec allows for up to 500mA from any USB outlet. So that's perfectly reasonable to be done without any fuss whatsoever.

Phones on the other hand are smarter.. some might say too smart for their own good. In this case I will only cover Android phones, because while they are smarter than they perhaps should be, they are still reasonable.

So if you connect an Android phone to the same 5V VCC and 0V ground, while leaving the data lines floating, the phone will charge at 500mA. This is exactly to be within USB 2.0 spec, as mentioned earlier. Without the data lines, the phone has no way to tell whether it *can* pull more, without *actually* trying to pull more (potentially frying a charger that's not rated for it). Now in an Android phone you can tell it to pull more, in a fairly straightforward way. You just short the data lines together, and the phone will recognize this as a simple charger that it can pull 1A from. Note that shorting data lines is not a bad thing, we do it all the time. It is just another term for making a connection between 2 points. Android does this right. Also note that shorted data lines cannot be used to send data. They are inherently pulled to the same voltage level, probably 0V but not sure.

And then the iPhones come in, Thinking Different. The iPhones require you to pull the data lines to some very specific voltage levels. And of course it's terribly documented because iSheep just trying to use their Apple original white nugget charger overseas and shit like that. I do not know which voltage levels they are (please let me know!), but it is certainly not a regular short. Now you connect the iPhone to, say, a laptop or something to charge. An Android phone would just charge while keeping data transmission disabled (because they can be left floating or shorted). This is for security reasons mostly, preventing e.g. a malicious computer from messing with it. An iPhone needs to be unlocked to just charge the damn thing. I'm fairly sure that that's because the data lines need to be pulled up, which could in theory enable a malicious computer to still get some information in or out of it. USB data transmission works at at least 200mV difference between the data lines. It could be more than that. So you need to unlock it.

Apple, how about you just short your goddamn data lines too like everyone else? And while you're at it, get rid of this Lightning connector. I get it, micro USB was too hard for your users. I guess they are blind pigs after all. But USB-C solved all of that and more. The only difference I can think of is that the Lightning connector can be a single board with pads on either side on the connector, while in USB-C that could be at the socket end (socket being less common to be replaced). And at the end of the day, that really doesn't matter with all the other things that will break first.

Think Different. Think Retarded. Such tiny batteries and you can't even fucking charge them properly.

First year: intro to programming, basic data structures and algos, parallel programming, databases and a project to finish it. Homework should be kept track of via some version control. Should also be some calculus and linear algebra.

Second year:
Introduce more complex subjects such as programming paradigms, compilers and language theory, low level programming + logic design + basic processor design, logic for system verification, statistics and graph theory. Should also be a project with a company.

Year three:
Advanced algos, datastructures and algorithm analysis. Intro to Computer and data security. Optional courses in graphics programming, machine learning, compilers and automata, embedded systems etc. ends with a big project that goes in depth into a CS subject, not a regular software project in java basically.

Am I the only one who sucks at computer theory?

I can agree to shit when presented with hardcore data, data that proves me otherwise. But when people go by opinions and then hold is a truth because of "many feel the same way" I cannot help but to giggle a bit.

Most issues I have found with programming stacks come from opinions rather than hard presented data, if a bunch of people dislike a tool, but it delivers, I get to differ two things: (1) it is bad but it performs as needed, but it is bad because of design problems etc, (2) some dude made a post concerning why he things is bad and sheep mentality follows.

If technologies were without merit, then we would have all discarded C++ a long time ago cuz Linus disliked it, a powerful programmer indeed, but a FOCUSED one, meaning, one that deals with 1 domain (kernel development)

Do I care about what Linus things about web development? No, lol, he is a better kernel developer than I am, but I highly, grossly doubt that he knows enough about web development to give me something to think about.

all languages have faults, regardless of what point of view we look at them, but completely disregarding a tech stack because of shit that you saw some fucktard wrote about, benefits and otherwise, just seems....well...sheepish, there might very well be a tech stack out there that covers everything, to me it is a mixture of things, and I use them as I please and feel like, but this is because after years of learning I have read about quirks and pitfalls and how to avoid them. I would suggest you all do the same, by you all I mean those of high opinions that can't be deflected.

This field is far too wide and concentrated to go head and think about absolutes when even the fundamental mathematical theory concerning computer science is not absolute whatsoever, it is akin to magic, shit works, but it might not, the incantation might be right, but circuits and electricity have a way of telling us to go fuck ourselves, so do architectures, specifically ones based on physics.

Over the last year, I’ve only started learning computer science at uni, never done it before.

I’ve done units in:
- Alg. and programming fundamentals in python
- Intro to comp sci
- alg. and data structures
- theory of computation

Guess the point of this is, “why do people code, what aspirations do you all have?”
Cause rn, I’m all about “I have no idea what I’m doing, coding just seemed cool and I wanted to try it out.” Don’t know where to go

Someone inspire me???
Here is a legit reason for you to brag about what you do and what you’re going to do 😉

8 years ago,
I studied in a small school and every year we had computer classes, but most of the times, it gets cancelled or we just sit and browse and sometimes few of us don't even get a computer.
In that time, the only reason I was attached with the computer was due to games.
Our curriculum mentioned HTML, CSS, Access and Excel, which none of the teachers taught us for past 2 years. I wanted to learn all does, but gave up since no one cared about it.(please note that time, I didn't know even to use YouTube or W3schools to learn stuffs)
Then, a new student joined in our class and also a new computer ma'am joined our school. Both of them turned out to be really fun when it comes to learning computers.
She was active during last sessions and teach us HTML, CSS. I even started writing blogs which she taught. The most surprising part was she was super frank. She went beyond her duty, and taught me what Facebook is, how to use it, and opened an account for me which I am still using it, and she sent a friend request to herself. (In lab, past teachers would shout to students trying to open fb. All of them were super strict.)
She was kind and friendly, and during theory classes, the new student in our class would answer every single question. Then, somehow we both started sharing sits in computer class, and he will tell me answers and we both raise hands to answer the question. My teacher will also keep asking interesting questions which made me more inclined to computer science.

My story isn't related to learning a programming language or an algorithm, but it was the wave that brought me closer towards CS and after 2 years, I joined CS in University and till now, haven't look back and always thanked both of them, my respected ma'am and my dear friend, who inspired me and brought out my curiosity towards computers.
Note: My friend is doing Medical currently and when I teased him that I did CS and now, I know more than you and this time, I am gonna whisper in your ears if someone asks any question, to which he replied, I accept I am doing Medical, but I still love computers and know a hell lot about it.
My teacher got married and she also got a cute baby. We talk occasionally in fb and she is going great too.
I hope to meet both of them someday soon.

It would be great if CS students graduated and emoloyers could plug them in anywhere knowing that they can do their job without anymore training.

There for I think students sould have full on collaboration with high risk companies. Deadlines with serious consequences if they aren't met (i.e bad reviews on your profile). Computer science and programming really needs deep thought and concentration. Being able to work in a team to deal with issues as fast as possible.

These days you don't need to know a lot of theory to get started. Knowing it all helps, but being able to figure it out and then finding beter ways to slove the issues as you progress through becoming a master in your field really burns the knowledge and skill into your being.

*leaning back in the story chair*

One night, a long time ago, I was playing computer games with my closest friends through the night. We would meet for a whole weekend extended through some holiday to excessively celebrate our collaborative and competitive gaming skills. In other words we would definitely kick our asses all the time. Laughing at each other for every kill we made and game we won. Crying for every kill received and game lost. A great fun that was.

Sleep level through the first 48 hours was around 0 hours. After some fresh air I thought it would be a very good idea to sit down, taking the time to eventually change all my accounts passwords including the password safe master password. Of course I also had to generate a new key file. You can't be too serious about security these days.

One additional 48 hours, including 13 hours of sleep, some good rounds Call of Duty, Counter Strike and Crashday plus an insane Star Wars Marathon in between later...

I woke up. A tiereing but fun weekend was over again. After I got the usual cereals for breakfast I set down to work on one of my theory magic decks. I opened the browser, navigated to the Web page and opened my password manager. I type in the password as usual.

Error: incorrect password.

I retry about 20 times. Each time getting more and more terrified.

WTF? Did I change my password or what?...

Fuck.

Ffuck fuck fuck FUCKK.

I've reset and now forgotten my master password. I completely lost memory of that moment. I'm screwed.

---

Disclaimer: sure it's in my brain, but it's still data right?

I remembered the situation but until today I can't remember which password I set.

Fun fact. I also could not remember the contents of episode 6 by the time we started the movie although I'd seen the movie about 10 - 15 times up to that point. Just brain afk.

Things that make me mad in school: when "ap computer science" is a class that literally just teaches you Java syntax and nothing about any theory and algorithms. Like c'mon

We need to separate concerns. Too many CS courses skip over theory and teach outdated tools and technologies, often those of a sponsor who is failing in the market.

Computer Science is supposed to be about the science and formalisms of computation. The job of programming is Software Engineering. A few colleges have SE degrees, but too few.

No one understands anymore the likes of Knuth, McCarthy, Dijkstra, and Hoare. I'm willing to bet that most of you have never read any of their work. Few people really understand their impact on the tools we use today or the importance of their work. CS courses should teach that and expand on it so we can get more huge leaps in tools and concepts.

But we also need Software Engineering to teach students current tools and the latest paradigms.

CS, as it is, doesn't do that.

I might create a coding course for people actually interested in learning how to program correctly (not Get Rich Quick Bootcamp style, not webapps, not magic Javascript incantations).

I have an idea on how to structure it but I worry it'll be too weird for most people to follow (starting from binary theory and then teaching machine code and then working upwards to C and beyond) explaining how a computer works along the way, showing the real errors with annotations explaining things, etc.

I've always wanted to teach in this format but I feel as though it's too.. idk, "useless" to most people? But I've never had a friend go through e.g. CodeAcademy and come out knowing how to actually make applications from start to finish without just hacking together random React components and hoping the frankenstein project works well enough.

The target demographic would be those either completely new to programming or just have a fundamental or web-centric preexisting knowledge, or maybe those who simply want to understand computers better.

Am I barking up a shitty tree?

(IMHO) The current system fails to identify that there are at least 2 main paths one can take in our field. Software engineering and computer science.
Software engineering should not be just a course. It should be a craft, a degree. Where one can learn practical things not just algorithms that are used in niche cases.
Computer science branch won't be that different from what we've got now. It can be even more focused on theory.

Well it’s Sunday so last day to leave my thoughts on probably the only topic that’s current to me.

I think you should pay teachers a competitive salary.
The problem with teaching CS at high school level especially (in university there are grants, actually competitive salaries between unis and other perks) is if a person is versed in programming/cs theory why would they settle for a $40k job? When the alternative is finding a job in the field where salaries are around $80k+ (this figure came from my head, can’t remember the source) it’s hard to justify going into teaching even if you would enjoy it more than a desk job.

If the salary difference was smaller then one could maybe justify liking work over pay but here it’s basically double difference... Kinda makes you understand why some comp sci teachers seem incompetent in even using their own computer. Yes there will always be that odd person out who will teach (or go to a private school and negotiate a workable salary) but until education becomes a priority for government salaries there will be very limited progress, if any.

You can do anything to the syllabus, make it more verbose, make it appeal to the lowest common denominator, but if you can’t find people to teach it (and know it themselves) you are really screwed.

Meanwhile ...

I don't know how to deal with this, it's always complicated.

-customer sees some output from their computer they don't understand-

-customer comes up with a theory on why and some complicated logic to solve it and sends that as a request-

-i'm too stupid to realize it and follow their logic and hurt my brain until I realize it... no that's dumb...-

Result: time wasted

Why people suck at theory even being damn good at something... Fucked up computer networks paper !!! :/

As a person who never took any CS courses, I don't really see the market value of them, apart from getting through ignorant degree gating at companies with backward corporate philosophies.

As I understand, even a degree isn't really that helpful in getting your foot in the door.

That said, the week 92 question assumes there is something wrong with the nature of CS instruction. College is not trade school. The point of it is to get an education, not a job. Many employers require that education, and that's their prerogative, but for a number of reasons, chief among them being the rapid pace of the advance of technological concepts, most employers do not.

A candidate having a CS undergraduate degree is far less attractive to an employer than one without a degree, but who has a year or two of experience with the technologies the position involves.

That said, I personally think that as college is for an education and not career building, computer science curricula should focus on theory, and not on applied technology. A focus on the latter just guarantees that the subject material will be dated and irrelevant.

But as many people (maybe even most) think college is trade school, I think it's absolute madness to enter into debt slavery in exchange for expiring qualifications.

While teaching theory is actually good, it doesn't mean that there is no room for any practical education either. Students needs to be exposed to modern programming languages like Python, Ruby while at the same time be trained in the pioneers of programming like C, C++, Java. It is only then would they be able to make informed decisions on who they really want to be. If you had one practical lab session on C and Java and then the rest of the semester about HTML, students would end up moving away from programming.

Concepts like programming and networking concepts should be included whereas ancient technologies like programming micro-processors (x386, x486, etc) should be excluded. Who programs x386 and x486 micro-processors anymore? While the understanding of how micro-processors and other low-level components in the computer systems work is very essential, doing practicals on them isn't really a good use of students' time, energy or effort.

Happened a few ago when I started taking SQL classes in school. We had our theory exam with one question asking us to display the date of the following day. And since I knew dick about working with date, I decided to make the computer sleep for 86400 seconds and print current date (which was like the only command I knew about dates).I feel really stupid thinking about that now.. but it was fun :P

Not so much a problem with the way CS is taught, but I think it's a problem that a lot of people put emphasis ONLY on programming (and maybe data structures and algorithms) and ignore things like Computer Architecture or Theory of Computation.

Most of the CS syllabi I've seen are built very well, but many students (and some teachers) seem to ignore a bunch of subjects because they don't contribute to making them "hireable".

I spent 4 months in a programming mentorship offered by my workplace to get back to programming after 4 years I graduated with a CS degree.

Back in 2014, what I studied in my first programming class was not easy to digest. I would just try enough to pass the courses because I was more interested in the theory. It followed until I graduated because I never actually wrote code for myself for example I wrote a lot of code for my vision class but never took a personal initiative. I did however have a very strong grip on advanced computer science concepts in areas such as computer architecture, systems programming and computer vision. I have an excellent understanding of machine learning and deep learning. I also spent time working with embedded systems and volunteering at a makerspace, teaching Arduino and RPi stuff. I used to teach people older than me.

My first job as a programmer sucked big time. It was a bootstrapped startup whose founder was making big claims to secure funding. I had no direction, mentorship and leadership to validate my programming practices. I burnt out in just 2 months. It was horrible. I experienced the worst physical and emotional pain to date. Additionally, I was gaslighted and told that it is me who is bad at my job not the people working with me. I thought I was a big failure and that I wasn't cut out for software engineering.

I spent the next 6 months recovering from the burn out. I had a condition where the stress and anxiety would cause my neck to deform and some vertebrae were damaged. Nobody could figure out why this was happening. I did find a neurophyscian who helped me out of the mental hell hole I was in and I started making recovery. I had to take a mild anti anxiety for the next 3 years until I went to my current doctor.

I worked as an implementation engineer at a local startup run by a very old engineer. He taught me how to work and carry myself professionally while I learnt very little technically. A year into my job, seeing no growth technically, I decided to make a switch to my favourite local software consultancy. I got the job 4 months prior to my father's death. I joined the company as an implementation analyst and needed some technical experience. It was right up my alley. My parents who saw me at my lowest, struggling with genetic depression and anxiety for the last 6 years, were finally relieved. It was hard for them as I am the only son.

After my father passed away, I was told by his colleagues that he was very happy with me and my sisters. He died a day before I became permanent and landed a huge client. The only regret I have is not driving fast enough to the hospital the night he passed away. Last year, I started seeing a new doctor in hopes of getting rid of the one medicine that I was taking. To my surprise, he saw major problems and prescribed me new medication.

I finally got a diagnosis for my condition after 8 years of struggle. The new doctor told me a few months back that I have Recurrent Depressive Disorder. The most likely cause is my genetics from my father's side as my father recovered from Schizophrenia when I was little. And, now it's been 5 months on the new medication. I can finally relax knowing my condition and work on it with professional help.

After working at my current role for 1 and a half years, my teamlead and HR offered me a 2 month mentorship opportunity to learn programming from scratch in Python and Scrapy from a personal mentor specially assigned to me. I am still in my management focused role but will be spending 4 hours daily of for the mentorship. I feel extremely lucky and grateful for the opportunity. It felt unworldly when I pushed my code to a PR for the very first time and got feedback on it. It is incomparable to anything.

So we had Eid holidays a few months back and because I am not that social, I began going through cs61a from Berkeley and logged into HackerRank after 5 years. The medicines help but I constantly feel this feeling that I am not enough or that I am an imposter even though I was and am always considered a brilliant and intellectual mind by my professors and people around me. I just can't shake the feeling.

Anyway, so now, I have successfully completed 2 months worth of backend training in Django with another awesome mentor at work. I am in absolute love with Django and Python. And, I constantly feel like discussing and sharing about my progress with people. So, if you are still reading, thank you for staying with me.

TLDR: Smart enough for high level computer science concepts in college, did well in theory but never really wrote code without help. Struggled with clinical depression for the past 8 years. Father passed away one day before being permanent at my dream software consultancy and being assigned one of the biggest consultancy. Getting back to programming after 4 years with the help of change in medicine, a formal diagnosis and a technical mentorship.

First: I have to give credit to my high school CS teacher. She gave us a good grounding in computer theory about: pointers, memory organization, and algorithms.

Second: Second I just read the fucking manual. Then programmed a LOT more than people who didn't get good. Hundreds of hours during college, thousands since then. I got style information from reading other peoples code and also learned about how not to code by reading other peoples code. Ever buy a book that proclaims to teach you X, but actually teaches you a proprietary wrapper they wrote for X that has a shitty license? Fuck those people. Anyway, when internet sharing became more of a thing I started watching videos by experts and reading articles. And now I learn from people here as well. Never stop learning and always RTFM.

Guys I heard a rumor that you like riddles, I'm stuck on my theory project and I'd like to throw a bone:

Say you have a list p = [7,6,2,3,4,5,1,0] and you want to order it, i.e. change it to [0,1,2,3,4,5,6,7], by swapping adjacent elements. Provide an algorithm to do this optimally, when:
a. (Warm-up) each swap costs 1
b. Swaps weight is [4,3,2,1,2,3,4], i.e. if you want to swap position 0 with 1 it'd cost 4, position 3 with 4 will cost 1 and so on.

The optimal overall cost for b is 50 (I did an exhaustive search), however you need to find a general approach which is able to order every list with minimal overall cost (no time constraints as long as the solution is not exponential in the list length), using the provided weight function.

(you get a credit if the solution goes to a paper or anything 😉 it's actually a computer science open problem, but seems possible to me)

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.

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

First and foremost, students should be carefully taught the logic and mentality behind programming. Most of the time I see that the introductory programming courses waste so much energy in teaching the language itself. So students kinda just get fucked cause many people end up ending the course without having actually gained the "programming perspective".
Stop teaching pointers and lambdas and even leave the object oriented stiff till later. If a student doesn't know why we use a For loop then how can they learn anything else.
I believe once that thing in your brain clicks about programming, everything goes smooth from there... kinda :P

Second of all, and this pertains mainly to the engineering and science disciplines.
We need a fundamental and strong mathematical foundation. And no I don't mean taking fucking double integrals. Teach us Linear Algebra, Graph theory, the properties of matrices, and Probability theory.
One of the things I suffered from most and regret in university is having a weak foundation in math and having to spend more time catching myself up to speed.
It's so annoying reading a paper on a new algorithm or method and feeling like an idiot because I can't understand what magic these people did.

Numerical Methods...
Ok this is more deeper, maybe a 2nd year course.
But this is something we take for granted.
Computers don't magically add and subtract and multiply.
They fuck up.
And it'll bite you in the ass if you're not even aware that the computer we all love so much isn't as perfect as we think

Some hardware knowledge.
Probably a basic embedded systems course with arduinos
just so you can get a feel for how our beautiful software actually makes those electrons go weeeeeeeee

And finally
Practice practice
Projects projects
like honestly
just give me the internet and some projects
Ill learn everything else
Projects are the best motivation
I hate this purely theoretical approach
where we memorize or read code and write these stupid exams
Test what we are capable off
make us do projects that take sleepless nights and litres of coffee
And judge our methods, documentation, team work, and output

Team work skills and tools (VCS, communicating, project management, etc.)

Documentation and Reporting
Properly
:)
maybe even with LaTeX :D

Yeah that's the gist of whats on my mind at the moment regarding an ideal computer science education
At least the foundations
The rest I leave it to the next dude.

Can anyone help me with this theory about microprocessor, cpu and computers in general?

( I used to love programming when during school days when it was just basic searching/sorting and oop. Even in college , when it advanced to language details , compilers and data structures, i was fine. But subjects like coa and microprocessors, which kind of explains the working of hardware behind the brain that is a computer is so difficult to understand for me 😭😭😭)

How a computer works? All i knew was that when a bulb gets connected to a battery via wires, some metal inside it starts glowing and we see light. No magics involved till now.

Then came the von Neumann architecture which says a computer consists of 4 things : i/o devices, system bus ,memory and cpu. I/0 and memory interact with system bus, which is controlled by cpu . Thus cpu controls everything and that's how computer works.

Wait, what?
Let's take an easy example of calc. i pressed 1+2= on keyboard, it showed me '1+2=' and then '3'. How the hell that hapenned ?

Then some video told me this : every key in your keyboard is connected to a multiplexer which gives a special "code" to the processer regarding the key press.
The "control unit" of cpu commands the ram to store every character until '=' is pressed (which is a kind of interrupt telling the cpu to start processing) . RAM is simply a bunch of storage circuits (which can store some 1s) along with another bunch of circuits which can retrieve these data.

Up till now, the control unit knows that memory has (for eg):
Value 1 stored as 0001 at some address 34A
Value + stored as 11001101 at some address 34B
Value 2 stored as 0010 at some Address 23B

On recieving code for '=' press, the "control unit" commands the "alu" unit of cpu to fectch data from memory , understand it and calculate the result(i e the "fetch, decode and execute" cycle)

Alu fetches the "codes" from the memory, which translates to ADD 34A,23B i.e add the data stored at addresses 34a , 23b. The alu retrieves values present at given addresses, passes them through its adder circuit and puts the result at some new address 21H.

The control unit then fetches this result from new address and via, system busses, sends this new value to display's memory loaded at some memory port 4044.
The display picks it up and instantly shows it.

My problems:
1. Is this all correct? Does this only happens?

2. Please expand this more.
How is this system bus, alu, cpu , working?
What are the registers, accumulators , flip flops in the memory?
What are the machine cycles?
What are instructions cycles , opcodes, instruction codes ?
Where does assembly language comes in?
How does cpu manipulates memory?
This data bus , control bus, what are they?
I have come across so many weird words i dont understand dma, interrupts , memory mapped i/o devices, etc. Somebody please explain.

Ps : am learning about the fucking 8085 microprocessor in class and i can't even relate to basic computer architecture. I had flunked the coa paper which i now realise why, coz its so confusing. :'''(

Maxi-Rant, rest in the first comment!

Yay, I've caught up with my "watch later" list on YouTube! Next thing: Just quickly go through my subscribed channels and add old videos that I haven't seen yet to the watch later list so that I have more stuff to watch the next months. The easiest way to do that is to go to the "all uploads" playlist of the channel (that is luckily always linked now, it used to be hidden sometimes) and use "add all to" to get them on my playlist. Then sort out the stuff that I've already seen and turn on automatic sorting by date, easy. Yeah...
Firstly, in the new design there's no "add all to", I have to go to the old design. For my own playlists, there's a handy "edit" button to do that, but on other pages I have to do it manually. Luckily I have set Ctrl+Shift+1 as a shortcut for "&disable_polymer=true" long ago.
Next surprise: On "all uploads" playlists, there is no "add all to" button. It's on every single other playlist on YouTube, including "liked", "watch later", "favourites" and so on, just not there.
Fine, I'll just abuse my subscription playlist script that I already have by making a copy of it, putting the channel IDs in it and setting the last execution date to 1.1.2001. Little problem with that: Google apps scripts can run for at most 5 minutes and the YouTube API restricts it to add one video per second. So it doesn't work for more than 300 videos. I could now try to split it up by dates, but I didn't write the script myself and I don't know how it sorts the videos to add, so I'll just google for another solution instead.
Found one: Go to the video overview of the channel in the old layout, Ctrl+Shift+I, paste this little Javascript thing and it automatically clicks all the little clocks that add the video to the watch later list. Yay, that works! Ok, i'm restricted to 5000 videos, because that's the maximum size of a YouTube playlist, so I can't immediately add all 8000+, but whatever, that's a minor problem and I'll sort out later anyway. Still another little problem: For some reason I can't automatically sort the watch later list. Because that would be too easy.
But whatever, I'll just use "add all to" from there to add it to my creatively named "WL" list. If that thing is restricted by the same rate limit of 1 video per second, it should be done in about 1½ hours. A bit long, but hey, I'm dealing with 5000 videos. Waiting 2 hours... Waiting 3 hours... Nothing happens. It would be nice if it at least added them one by one, but no, it waits an eternity and then adds all at once. At least in theory, right now it does absolutely nothing.
Shortly considered running it for more hours or even days on my Raspberry Pi, but that thing already struggles when using Chromium normally, I shouldn't bother it with anything that has to do with 5000 videos.
Ok, what else can I do then? Googling, trying out different things, mainly external services that have their own concept of "playlists" and can then add them to an arbitrary playlist later...
Even tried writing my own Java program with the YouTube API, but after about an hour not even the example program in the YouTube API tutorial worked (50 errors and even more open questions, woohoo), so I discarded that idea.
Then I discovered "DiskYT". Everything looked like it would work and I'm still convinced that I can do it with that little pile of shit. Why is it a pile of shit? Well, for example the site reloads itself after a while, so it can at most add 700 videos to a playlist. Also I can't just paste the channel link (even though it recognises those links, but just to show an error message that it can't copy from channels). I can't enter/paste URLs, I have to drag them. The site saves absolutely nothing (should in theory work, but in practise it doesn't), so I have to re-drag everything on every try. In one network, the "authorise YouTube" button (that I have to press again on every computer) does absolutely nothing ("inspect" reveals that there isn't even any action bound to the button), in another network the page mostly doesn't work at all or the button to copy from playlists is suddenly gone or other weird stuff. Luckily I have the WiFi at home, there it works in theory. But just on my desktop PC, no other device, wow. I tried to run it on my new laptop, but it's so new that it still has the preinstalled OS and there I can't deactivate going to standby when closing the laptop, so while I expected it to add 5000 videos, it instead added 4 and went to standby. But doesn't matter, because it would have failed at about 700 anyway. Every time I try to use this website, I get new problems, but it seems to still be the best option, because everything else just doesn't do anything. This page at least got to 700 before.

Continuing in first comment!

iAPPLIED CS UNIVERSITY, DAY 1 (2018-09-24)

11:00 UTC+3: Arrived at the secretary's office to complete my registration. I met quite some people; I forgot the names of some. I spent some time over there, so I took the 13:00 class instead of the 11:00 one. It's still early, so we pick whichever we want.

13:00: Procedural Programming at the Computer's lab. The computers were running Windows 8.1! 😱 I might connect to my laptop via RDP. It would be very cool. The course was about C, but the first time was just an introduction. We are going to use Code::Blocks. We were also explained the (HTTP only) web platform in which we are logged in via our passwords and submit our assignments. The professor was very nice, but this day at least was very boring. I was watching CodeMinkey cartoons, trying to solve AdLitterams.

18:00: Back for Applied Mathematics I. At the same computer lab. No lesson did happen, because we have to s learn theory stuff first (every Friday I think). Back to home.

Tommorrow is going to be a hard day...:wq

I prefer starting from theory and then proceed with practicing. For example, to learn haskell and deeply understand it, I started by taking a course in category theory and I already have a degree in computer science and then start writing actual code. The same with JS. I started with theory for JIT compilers and studied how V8 works, how it utilizes event loops and how they are implemented in the kernel. Then I started experimenting with code and demos. It's a success path for me, that has worked every time with every new technology.

Never underestimate the power of a misplaced static in your Java to totally fuck you over.

I was busy with my computer science project for the semester where we have to implement a Sudoku solver without backtracking by using graph theory.

So there I was writing my data structure for the grid when for some reason all the cells were initialized with the value 8.

After a whole night of debugging I was about to start over when I realized I had made my array static.

And boom, it works. WTF!!!!!!!

"P=NP. Y'all just dumb. And lazy."

Last night I dreamed about a voice yelling that at me.
It kinda sounded like my parents.

What programming books do you all recommend?

Language wise any books on C, GoLang, Python, Rust, and LUA are welcome

And topic wise I’m interested in books about computer science theory, network programming, low level programming, and backend programming are welcome.

I know it’s a wide variety of topics but some are stuff Im currently doing, I’ve already messed with and just really want to learn more or focus on, or plan to do it when I get around to it

My first experience with a computer was when I was about 7-8 years approx. I came back from school and dad told me he got me enrolled with a teacher who lived around 5 kms away. Me and my dad walked in the warm summer afternoon (one of my most fond memories tbh), cut through a meadow that had freshly cut grass and reached his place. He lived in the third floor, and there was a stray dog that used to stay in the second. The stench was horrible, but over time I got used to it.
He opened the door and showed me how to boot up a computer, then asked me to open LOGO (it ran on MS-DOS at the time). Taught me the fd 40 rt 90 stuff and I loved it - he noticed and asked me to go to town. I started drawing on the screen and remember being delighted at how it ran what I asked it to run.
We then did some theory, and every grade I finished my syllabus in like 2-3 days. Too bad we didn't have coding until I was like 14, but that's another story and deserves another post :)

Sorry for the long post, got carried away

Was about 13-14 years old, on my first laptop, a HP Pavilion G6. I had Ubuntu on it, and tried to write an iso to a USB with dd. Didn't work, so I forgot about it for up to maybe a week, and was playing Minecraft one day when my laptop froze and nothing was responding, so I did a hard reboot.

No operating systems found.

Many tears were shed that day.

Took me maybe 6 months to realize that the "botched" dd probably caused the wipe.
Still don't know why my computer was still running... If anyone thinks that the dd didn't cause it I'm curious what your theory is.

From the last 3 years, i have accumulated interest and experience in android dev. Not sure about the future, but that's probably where i will be.
But this fact is moot to our 50 year old grumpy professors teaching 1000 year old rusted computer syllabus, who rejected my idea of a video streaming app as major project, simply because i projected it as a social media app, and "everyone is making a social media app, its such an old topic". yeah right sir, its younger than your daughter that fucks in the lobby

Now we are doing a project on file conversions website, a project suggested by my team member and my good friend. its such a shitty topic, there is no resources available, even the research papers are bad , every search points to a shitty site, and i don't know shit about web dev.

Technically i am the team leader, but my team mate won't let me make the project as android native app, because "Brooo, i am going to make a react app that would be completely offline, completely client side, full secure and shitt small" and sometimes "Bro its my idea" .

Well, 1. the whole point of client side is stupid because the 18 mb jsfile isn't going to get downloaded first in the client's cache(or whatever the process is, idk). The top stack overflow answers i saw told me to buy an ec2 instance and run liberoffice commands on it for every request, and that's SERVER SIDE. even if we could, i am sure its going to be bigger than what i would have made in kotlin.
2. what am i supposed to do? look at you coding while make all the ppts and research paper? you are going to use undocumented libs that "just works" , and i am suppose to curate the theory behind this, looking at all the researches of the world?well i guess okay that's a light job since THERE AREN'T ANY.

And we are targetting all types of conversions, nice. from what i know, handbrake.fr: video conversion s/w = 16 mb. photoshop: image conversion s/w=1gb and ms word: doc to pdf/other formats= 500mb.
Plus all those proprietary and undocumented formats, ugh. Thank you ugly ass companies.

Internet is great but web dev has become a whole lot mess. "I am going to build a software that is going to run in your system only using your device's processor" is a desktop/mobile app, not a website

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.

How many of you have formalized knowledge in computer science theory? Do you find yourself using that knowledge in your daily engineering life? For example, knowing random search algorithms, or obscure data structures. I ask this because of the modern "technical interview" trending towards discrete math instead of actual programming ability. Instead of coding projects I care about or reading research papers, I'm just doing discrete math problems to prep for recruiting. While it's not the worst thing to do I just wish there was a more direct way of interviewing a person's engineering abilities.

Math for Computer Science Majors professor is going on and on about calculating probability as if I never heard of the topic before. I took probability theory last semester!! I am so not interested in staying on Zoom with my camera on :(

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.

Hello guys, i need some advice:
Our school is having a "auto-management" (idk how to translate) period, it lasts 3 or 4 days just before christmas vacation, and in those days students get to organize courses about pretty much everything to teach stuff to other students (exept stuff like video games cuz the principal is closed-minded), some friends asked me to make a course about programming in c# because they are interested, i thought it was cool so i said OK.
Now i'm thinking how to structure it, it's going to be 2 "lessons" of 2 hours each, and it's open to everyone in the school.
I don't want to do a full blown course explaining everything, i just want to give them a kick start and point them to the right direction, I thought about explaining some "theory" in the first lesson, I'm assuming almost everyone that will come never did programming stuff, so i'm thinking of explaining stuff like how a computer works, why you need a compiler, etc.. maybe based on the introduction from learncpp.com without getting to much into the details and then explaining how c# works and its grammar.
Then in the second lesson i'll try to code togheter some stuff (We'll have just one pc attached to a projector).
So, how would you do this ? I mean i never tried explaining programming to someone else and i'm self-taught i looked at the guide on msdn but it starts directly by giving you an hello world, should i follow it ? I fear i'd get too thecnical and they wouldn't understand me, do you know some good guide i can use as a reference ?
ps: there's going to be max 30 people

I finally wrote my exemption test for computer literacy(covers ms office products and basic computing theory ).never have to go to anything concerning that course ever again and got 93%+ for all the tests required to get exempted

!Rant
Classes started today. Taking data structures and computer theory, wish me luck y'all!

What’s hot in theory and new developments in computer science ? I feel ai and vision appear to have stagnated a long time ago

Maybe it’s just because I got stuck with you people for no valid reason other than you people took over large sections of the USA to convert them into hamster wheels

Only for humans not the kind you shove up your own asses