And so when we say something is exponential, we're talking about in terms of the number of bits required to represent it.

所以当我们说某些东西，是指数增长的我们指的,就是代表它的比特数。

麻省理工公开课 - 计算机科学及编程导论课程节选

But because you only have a finite number of bits, the takeaway for today is that there's only so much precision.

因为只有有限个比特，今天的重点就是，它就这么点精度。

哈佛公开课 - 计算机科学课程节选

to the n, every value in the 1 bit vector we looked at last time is either 0 or 1. So it's a binary n number of n bits, 2 to the n.

从2到n，我们上次看到的,位向量的每个值不是0就是,所以它是n，比特的二进制数,从2到。

麻省理工公开课 - 计算机科学及编程导论课程节选

It's just a little block of memory in RAM, you know, that represents four bytes, 32-bits and the Number Two is currently in it.

它只是一小块内存块，它表示4个字节，32位,那个数字2就存储在里面。

哈佛公开课 - 计算机科学课程节选