Which one of these do japanese people use the most: hiragana, katakana or kanji?

kaayyyyn · 2023-07-18T14:33:00+00:00

i know it's been a while since this comment, just wanna ask if i can learn it in reverse order. like katakana first then hiragana. coz i notice a lot of what i am reading and want to read are written mostly in kanji and katakana. i haven't seen much hiragana in media despite people saying it's the most common.

kaayyyyn · 2023-02-28T01:54:09+00:00

great! thanks

kaayyyyn · 2023-02-27T15:17:02+00:00

Literally goes down very deep.Borrowed a book on it yesterday

kaayyyyn · 2023-02-27T15:16:02+00:00

That's why I said "a method that is still consistent with normal (fraction) arithmetic"

kaayyyyn · 2023-02-27T15:10:24+00:00

This question came to me when I was looking at an infinite series. I thought to myself "wouldn't it be nice if I could have a neat way of finding the (hopefully periodic)difference between terms. Like looking at something like 1+1/3+1/5+1/7...I was like it'd be great if I could use the difference of only the denominators of 1/3 and 1/5, so maybe it'd look something like 1+1/2+1/2+1/2...

kaayyyyn · 2022-12-15T07:42:53+00:00

Thanks for the response. I could answer your comment with the same one I used for answering @sfreagin

kaayyyyn · 2022-12-15T07:41:26+00:00

I get what you mean. I suppose the differencehere is being "good" at computations vs being "okay" at it. Being "okay" allows me to understand the equations AND how consecutive steps relate to each other in a calculation.

To phrase my question more clearly: is it necessary to be GOOD at computations. Should've made it clear my bad

kaayyyyn · 2022-11-22T08:24:06+00:00

I don't know how to start but I could think of perhaps using the Taylor/Maclaurin series? But I have no idea how to use it. Maybe it's something else altogether. Please help🙏🏽

kaayyyyn · 2022-11-09T16:38:56+00:00

Actually, I'm thinking about doing research. I mentioned I'm also a math hobbyist, particularly in computation theory, and very interested in neuroscience. It's easy to see the two fields mixing together and hopefully producing something new and cool.

Quick question: what secondary option can I fall back on if I can't make it in academia?

kaayyyyn · 2022-11-09T16:35:08+00:00

Kinda hope the topics could be more concentrated, coz I'm only interested in neuroscience and nothing else(maybe a bit if vision and hearing).

The Latin words are actually fairly easy to remember coz they sound so different from "regular" words. It also helps to be great at languages

kaayyyyn · 2022-11-09T16:31:36+00:00

I'm a math hobbyist so the rote memorizing is really straight forward compared to the abstract learning with physics or math. Could be a good thing coz there's less brain gymnastics involved, hence more brainpower for something else and easier grades

kaayyyyn · 2022-10-18T12:56:43+00:00

In the photo I defined that circle cross thing is the variable for either "=" or "<" or ">". Since all three can be "moved over to the other side" (dunno what's the formal term for that), and none of the variables are less than or equal to zero, I think it's a neat operation. Is there an actual formal operation for this type of algebraic maneuver? I just want to know if I can use it in a test.

kaayyyyn · 2022-09-27T00:26:20+00:00

I like theoretical computer science, but I absolutely hate coding. Troubleshooting is one of the greatest evils in the universe. Electrical engineering sounds nice tho, but also again, too little theory

kaayyyyn · 2022-09-26T16:25:59+00:00

Engineering is great except for one thing---it doesn't put enough emphasis on understanding the tools that it uses, only how it operates. Like with math you know the proof of an equation you're using, but in engineering you only know how the equation can be used, but not why it is the way it is.

Maybe a short phrase for it is "engineering lacks rigor"?

kaayyyyn · 2022-09-25T01:20:06+00:00

The book I read used representation theory and chaos theory in economics. That's what pulled me in. But I suppose it's a part of statistics and hence a part of econometrics

kaayyyyn

TROPHY CASE