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On the other hand imagine how much you would learn if you could spend all you gym and bike time learning computer science and other things (not saying you shoul

On the other hand imagine how much you would learn if you could spend all you gym and bike time learning computer science and other things (not saying you should but the more time you out into something usually you know more about that thing). Also I think knowing data structures is essential cos you are using them ALL the time you just don’t know it cos you never bothered to learn them. But they are corner stone of every program.

parthdesai 8y ago
>On the other hand imagine how much you would learn if you could spend all you gym and bike time learning computer science and other things (not saying you should but the more time you out into something usually you know more about that thing). On the other hand imagine how much could you get done if you worked 16 hours a day. Why even take vacation? Imagine how much time you are wasting when you are off on vacation. Oh wait, studies have shown that amount of hours sat in the chair doesn't translate directly into quality work. It might work when you are doing it occasionally as a one-off but won't work everyday. >Also I think knowing data structures is essential cos you are using them ALL the time you just don’t know it cos you never bothered to learn them. But they are corner stone of every program. Did i say that? I know what a graph, BST, Tree, Linked List, Stack and Queue is. Do i know fancy algo's off the top of my head? No. But i also know how and what to google and how to convert that pseudo-code into actual working code.
AlexandrB 8y ago
> On the other hand imagine how much you would learn if you could spend all you gym and bike time learning computer science and other things... Probably a lot less. Exercise is associated with better mental acuity and reduced risk of mental deterioration with age[1]. Edit: Oh, and if you instead trade sleep for learning you're shooting yourself in the foot as well[2]. [1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3951958/ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3951958/ [2] http://healthysleep.med.harvard.edu/healthy/matters/benefits-of-sleep/learning-memory http://healthysleep.med.harvard.edu/healthy/matters/benefits...
hfdgiutdryg 8y ago
On the other hand imagine how much you would learn if you could spend all you gym and bike time learning computer science and other things You'd reach burnout extremely quickly. You'd literally go insane. Your body would break down rapidly. None of these are good for anyone involved.
- mirko22 8y ago
  Thing is i have completely different experiences in my. life with this sort of thing, i am not saying you should do it but that each person have different driver in life.
dan-robertson 8y ago
> Also I think knowing data structures is essential cos you are using them ALL the time you just don’t know it cos you never bothered to learn them. But they are corner stone of every program. Disagree. Most data structures fall into four categories: 1. Basically a list/array/set 2. An association (map/hash table/dictionary) 3. A struct/record 4. A union/enum/choice amongst finite options It is only in specialised algorithms and when strictly necessary that one must deviate from these (and the second two aren’t even really data structures). In such situations it can be useful to have other things known but even then I think a lot can be done with some combination of: 1. Binary tree 2. Trie 3. Hashing and Bitvector magic 4. Canny I don’t think much is lost by getting stuck and needing to research in such cases.

parthdesai 8y ago

>On the other hand imagine how much you would learn if you could spend all you gym and bike time learning computer science and other things (not saying you should but the more time you out into something usually you know more about that thing). On the other hand imagine how much could you get done if you worked 16 hours a day. Why even take vacation? Imagine how much time you are wasting when you are off on vacation. Oh wait, studies have shown that amount of hours sat in the chair doesn't translate directly into quality work. It might work when you are doing it occasionally as a one-off but won't work everyday. >Also I think knowing data structures is essential cos you are using them ALL the time you just don’t know it cos you never bothered to learn them. But they are corner stone of every program. Did i say that? I know what a graph, BST, Tree, Linked List, Stack and Queue is. Do i know fancy algo's off the top of my head? No. But i also know how and what to google and how to convert that pseudo-code into actual working code.

AlexandrB 8y ago

> On the other hand imagine how much you would learn if you could spend all you gym and bike time learning computer science and other things... Probably a lot less. Exercise is associated with better mental acuity and reduced risk of mental deterioration with age[1]. Edit: Oh, and if you instead trade sleep for learning you're shooting yourself in the foot as well[2]. [1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3951958/ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3951958/ [2] http://healthysleep.med.harvard.edu/healthy/matters/benefits-of-sleep/learning-memory http://healthysleep.med.harvard.edu/healthy/matters/benefits...

hfdgiutdryg 8y ago

On the other hand imagine how much you would learn if you could spend all you gym and bike time learning computer science and other things You'd reach burnout extremely quickly. You'd literally go insane. Your body would break down rapidly. None of these are good for anyone involved.

mirko22 8y ago
Thing is i have completely different experiences in my. life with this sort of thing, i am not saying you should do it but that each person have different driver in life.

dan-robertson 8y ago

> Also I think knowing data structures is essential cos you are using them ALL the time you just don’t know it cos you never bothered to learn them. But they are corner stone of every program. Disagree. Most data structures fall into four categories: 1. Basically a list/array/set 2. An association (map/hash table/dictionary) 3. A struct/record 4. A union/enum/choice amongst finite options It is only in specialised algorithms and when strictly necessary that one must deviate from these (and the second two aren’t even really data structures). In such situations it can be useful to have other things known but even then I think a lot can be done with some combination of: 1. Binary tree 2. Trie 3. Hashing and Bitvector magic 4. Canny I don’t think much is lost by getting stuck and needing to research in such cases.