3 ms·
> delves almost immediately into elliptic curve cryptography and one-way functions. It reminds me of Kun’s primer on probability. The primer jumps to the defin
by hintymad 4y ago
> delves almost immediately into elliptic curve cryptography and one-way functions.
It reminds me of Kun’s primer on probability. The primer jumps to the definition of probability space and measure in the first few paragraphs: https://jeremykun.com/2013/01/04/probability-theory-a-primer/ https://jeremykun.com/2013/01/04/probability-theory-a-primer...
A good primer, nonetheless. Just not necessarily accessible to majority of programmers.
- ravi-delia 4y agoThat's what's lovely about mathematics- in many ways it compresses very well, assuming the receiver is infinitely intelligent. How can Alice communicate all of math to Bob? Mail him some chalk and wait!
- ithinkso 4y ago> The primer jumps to the definition of probability space and measure in the first few paragraphs But in a very clear and straightforward way. I think you are laughting at it a bit because you know what (and how big) a measure theory is so you are automatically 'importing' all that knowledge and you think the author did too. But all is required from the reader is literally what a finite set and a fuction are. Students are very often scared of 'big words' because it seem like it should be hard even if a simple definition of that word has just been given, which is a bit weird and I'm not sure where it's comming from I like this approach a lot, it makes it easier learning harder and harder concepts later when you start this way because you are introduced to correct terminology early instead of analogies and hand-waving. Later material is harder to learn so analogies no longer work and it often feels like 'ok, this is too hard now' or like you are starting over