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> In other words, I say "SICP considered harmful" because thrusting it upon an eager newcomer as a trusted neutral guide to beginner coding (without offering any counterpoint) could set them back by a decade, filling their head with "functional object oriented programming" concepts that don't translate well to industry or CS.

I'd counter that by saying it would set them forward by a decade (compared to people who don't know these techniques). Knowing advanced techniques doesn't mean trying to shoehorn them into every run of the mill problem you encounter in the industry. But if you encounter a gnarly problem where some advanced techniques will help you out, you'll sure be glad you learnt them.


> What computer science doesn’t teach you is how memory caching works in CPUs. Your fancy graph algorithm may have good runtime complexity but it completely hoses the CPU cache and you may have been able to go faster with an array with good cache usage.

Computer architecture and organization should teach this, no?


Isn't scheme with close to zero syntax so easy to learn?

Why did someone think it was a good idea to switch to JavaScript?

I think the person who'll get value out of SICP will not have any problem picking up scheme syntax on the fly.


I agree. Being self contained helps make it timeless. In contrast are books with a CD in the back with an outdated Java compiler you will never be able to setup. And then you have to migrate the snippets yourself.

If you study any other related field like math or physics you become accustomed to learning a formal system for the context of a particular problem.

CS students tend to have this weird careerist view where every page just directly help them get a job.


Most undergrad CS students want a practical/engineering curriculum. They are not really there for theory, but for a long time that's how CS departments operated, unless maybe you were at an engineering school.

Schools are so desperate to keep up enrollment numbers today that many have capitulated and are giving students what they want instead of what the faculty thinks they need.


> Most undergrad CS students want a practical/engineering curriculum.

If all someone wants is the practical benefits of programming and has no interest in the underlying theory, they shouldn't waste their their time and money on a CS degree. All the practical information is available for free or at very low cost.


The same applies to CS, so you're missing something else -- skilled tutors and the campus experience.

At least in the U.S., many students are paying upwards of a $100k for a four-year degree. That better be one hell of a "campus experience" and some next-level "skilled tutors".

Call me a hopeless optimist, but I think there's a better way out there.


How about an AI-tutor? Actual professors don't have time to adapt their teaching to every indfividual studen's knowledge background. But AI might.

Universities should start their own AI-tutor development programs, in co-operation with others because, only way AI-tutors can become better is by practice practive practice.

So I'n not sure if this is a new viewpoint or not, but it is not only students that need training, it is also teachers who need to be trained more in teaching. AI is all about "training", understanding is about training. Training is the new paradigm for me.


But, a lot of employers demand a degree.

Maybe so, but we shouldn't be doubling down on expensive and time consuming degrees in the name of ill-conceived credentialism. That hurts everyone except the universities profiting off of it.

How does that mean anything to the people who need to be employed to continue living? We're not the ones with the ability to change this.

There is a big difference between being practically minded and the allergy to learning anything which doesn’t translate to resume keywords. SICP will teach you more about JavaScript, python, etc than most anything.

> Most undergrad CS students want a practical/engineering curriculum.

Somewhat understandable considering that student loans put you into indentured servitude unless you have rich parents. Although I still think they're shortsighted. A good CS graduate should understand that programming languages are just syntactic sugar over the underlying concepts and have little trouble translating/picking up the basics of new languages.


> They are not really there for theory

Is that why they are so bad at adapting to foreign languages and frameworks? Maybe they should go back to the basics.


You are comparing mathematicians to programmers.

A more fair comparison is engineering or applied math major, not pure math at MIT.


I dont think so. SICP isn’t abstract algebra, it’s just unlikely to be the exact syntax you will use at your job.

Engineers rarely do laplace transforms by hand either.

The book is written for 1st year stem undergrads at MIT. So maybe 2nd or 3rd year at state school.


JS is easier to read IMO. And of the widely-used interpreted languages I can think of, it's actually got the least confusing implementation of first-class anonymous functions. Python lambdas are limited to one expression, Ruby has that confusing block vs. proc vs. lambda problem, etc.

I do feel like the value of using Scheme is teaching students early on that syntax doesn't really matter. Those that are actually interested in CS theory will find this enlightening, those that are simply in it because investment banking is so 2007 will churn out.


It's also useful to be able to understand how the idioms map into the syntax of programming languages that one is actually going to use going forward. The point of SICP isn't what language you use, but how you use it, and how you think about the process of using it. Lisp itself exists because someone had the idea of taking the theoretical abstraction and actually realizing it, in notation similar to what the theorists were already using. But that similarity isn't actually relevant to core concepts like "functions as first-class objects", or referential transparency, or the substitution model of computation, or the complexity introduced by mutable state, etc. (Or, dare I say it: to the mind-expanding effects of contemplating the Y combinator.) These ideas can make you a better programmer in any programming language.

Nor is there any good reason to filter people out preemptively. If seeing `foo(x)` instead of `(foo x)` makes the student more receptive to a proper understanding of recursion, that's just fine.


Then it does not matter what language SICP chooses to illustrate timeless concepts? Even if some JS stuff changes down the line people should be able adapt what’s on the book on the fly?

Because knowing scheme isn't going to get you a job at most places. Employers overwhelmingly want JavaScript or Python these days. Trailing that would probably be Java, C++ and C#, and regular old C.

When I did my undergrad CS degree, the fact that scheme was so heavily used was a common complaint they received from students. It just wasn't a marketable skill.


Four year CS degrees usually require something around 20 (maybe even more) CS courses. Are you saying that all of those courses at your school were taught in Scheme? You never had a chance (in the classes, ignoring hobby or internships) to use other languages? That'd be a pretty unique school.

But even if that were true and you did take 20+ classes in Scheme, you're still a college educated computer scientist. You can't pick up JavaScript or Python in time for a job interview for an entry level job? They're easy languages to learn. If you survived four years of exclusively being taught with Scheme, they'd be a breeze to pick up.


No not all scheme. That's an example. The intro course and programming languages course was scheme. There were a number of other languages used. I guess I should have been more nuanced in that a number of students wanted to be taught the currently popular progrmmming languages so they could use them on a resume. They complained about using scheme (or whatever "teaching" language a professor might require) and did not yet appreciate that the concepts/theory they were learning applied to any programming language they might need to use.

They wanted a trade school/practical education in something immediately marketable, not a theoretical education.

The reason I remember this is that in my "exit interview" as a senior I mentioned that I appreciated the exposure to these languages and theory and my advisor remarked "we don't hear that very often, the usual feedback is that we don't teach the languages employers want"


Maybe this was a stress test for the NFL games?

I'd expect the NFL games to have a largely American audience, but today's boxing event attracted a global audience.


I wonder what % of the "60-120m" viewers were from Europe vs America vs Asia

An engineering manager who thinks his engineers are morons and dumb?

I have questions..


True. Also, the LLM will give you the most widely deployed versions encountered in the wild (during training).

That means one might find themselves using deprecated but still supported features.

If LLMs came out during the Python 2/3 schism for example, they'd be generating an ever increasing pile of Python 2 code.


This is a very funny comment given the context.

https://github.com/Raku/problem-solving/pull/89#pullrequestr...

A quote from the Christian Bible Luke 5:36,37


> To your comment about politics: I would say that from a high enough viewpoint "happy customers" should converge with "happy leadership" even if it doesn't happen every single time you ship something..

To look at a concrete example, with the quality issues Boeing has been having in the recent years, we can claim "happy leaders" diverged from "happy customers".

Yet Boeing will still be around for a long time, and failures can be catastrophic. Whistle blowers who came out since can be said to have advocated for "happy customers" against "happy leaders" but were suppressed.


At Boeing, ‘happy (wealthy) leaders’ diverged from ‘alive customers’.

Yes of course there are exceptions to the rule, always.

That is before a smaller and nimbler movement, company or entity surpasses the now large, slow-moving and fossilized incumbent, which then starts the gradual process into irrelevance.

And then the smaller, nimbler company itself scales to the point that it resembles the former incumbent, and the cycle begins anew.

There was a time, upto 10-15 years ago when tech company culture was largely anti-corporate.

Now corporate-y things like playing office politics is order of the day in medium to large tech companies.

My (maybe uninformed) hypothesis is that tech made so much money that it brought in the MBA and HR types who brought their corporate culture with them.

Even the smaller tech companies are now mimicking big tech culture as the standard.


>My (maybe uninformed) hypothesis is that tech made so much money that it brought in the MBA and HR types who brought their corporate culture with them.

This is some strange engineer's fantasy, that every company was ruined by "MBA types". Meanwhile, as evidenced in places in this thread, "software types" don't even understand basic business principles. They like to believe that if they were just left alone they'd churn out brilliant product, as if a large business isn't far more complex than that. Someone needs to count the beans (MBAs) and someone needs to deal with the people (HR).


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