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。

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which is called two seventy-five, which is Precision Machine Design.

它的代号为275，全名叫精密仪器设计。

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That kind of problem tends to arise because they're using a language or a computer that only has finite precision and so there are rounding errors.

这类问题已经日趋严重了,由于他们使用的语言或电脑,都是精度有限的,因此存在这样的问题。

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The precision of that,of course, is not to be taken seriously, but it gives you a general idea of when we are talking about.

当然,这个时间的精确度,并没有经过严格考证,但是它使我们对这件事的时间有个大体的概念

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But that formulation seems in many ways to be question begging. How much precision does the subject allow? How do we know?

所允许之外的精准,但这样的逻辑本身即,在很多方面启人疑窦？

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Even if tomorrow someone were to hand doctors a magic new technology that would enable to control neurons and synapses with whatever precision they want safely inexpensively.

就算明天有人交给医生一项神奇的新技术,让他能安全，随心所欲地控制神经元和神经突触。

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So, a 32 bit of float gives you a bunch of precision.

2比特的浮点型数据精度更大。

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Precision is impossible; don't worry about that.

完全精确是不可能的,大家不用太在意

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So what data type can we use to actually get more bits of precision than an int?

所以我们能用什么数据类型来表示,比int类型更多位数的数呢？

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So it turns out there's a solution to this: If you need more precision, more digits after the decimal point than a float allows, what do you go for instead?

所以这里有一个解决方案：,如果你需要比float类型允许的更高精度，小数点后更多位数,那你该用什么取代它？

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