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It's also going to be the process of watching an artistic form unfold over a very exciting period of time.
更是一个观察某种艺术形式在一段,刺激的时间里展现的过程。
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and then you teach students and you do this for a very long time, all your life.
然后你就可以去教学生，这会是一个很长的过程，差不多你一生的时间。
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We don't have to worry about links of time for the competition when you were doing a passive animation.
我们不需要担心,在此过程中的时间关联,像在被动型动画里所担心的那样。
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What's shown in this diagram is the progress of the developing embryo as it travels in time, down the fallopian tube.
这张图上显示的,就是胚胎发育的过程,是按照它在输卵管中移动的时间排序的
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Here's a, actually here it did take 25 years, but they did, they did eventually step on before we started drinking 7-Up.
这个过程，这个过程真的花了二十五年的时间，但是他们做到了，他们在我们喝七喜之前制止了加锂的行为。
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So your time scale it just fast enough that this is basically an adiabatic compassion.
你的时间足够快以至于,基本上是一个绝热过程。
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As I said, what we want to do is, we want to count the number of basic steps it takes to compute a computation as a function of input size.
我刚才提到了，我们要建立，一个根据输入大小的方法来计算,一个计算过程需要的时间,建立这个方法需要几步呢？
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One of the inputs to the problems we're gonna be working on this semester and if you continue on in this world how much thought it takes to implement something, how much time it takes to run something, how much space it takes to run something?
我们将在本学期集中探讨这些问题,或者在课程之后你们也可以继续研究,为实现一些功能要有多少想法，在运行过程中又将花费多长时间，需要多大的空间？
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- So what are these truths? We'll begin to answer this question--begin to answer this question, you'll spend the rest of your life finishing the process of answering this question. But we'll begin by identifying some, by no means all, of the major themes of Genesis 12 through 50.
那么这些真实是什么？我们将开始回答这个问题,开始回答这个问题，你们将用余生的时间来完成,这个问题的解答过程，但我们将开始辨明一部分的,不可能是全部的，《创世纪》十二至五十章的主要主题。
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We're trying to understand exactly what changes in your brain when you learn and how those changes persist over time to support memory. And one thing that we know which helps explain why some things are easier to remember than other is that learning is not a unitary process.
我们一直都想查明，学习的时候，大脑到底发生了什么变化，这些变化是如何长时间控制记忆的,我们都知道，学习的过程不是一元化的,这就是为什么有的东西好记，有的东西难记。
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So it was just a natural progression really because I've lived here for quite a while.
所以这真的只是一个自然的过程，因为我在这儿生活了一段时间了。
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In practice, most of the time we work with these two numbers, Ax and Ay.
在实际过程中,大多数时间我们就用 Ax 和 Ay 来计算
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We normally think of teaching as a synchronic process, you and I are in the same place and in the same time while we are learning, when in fact at least right now we are not.
我们通常设想教学是限于一时的过程，你我在同一地点,同一时间学习，但事实上至少现在就不是这样。
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But that merging process only takes N steps, N*log N so that's N times log of N. Now, it's a little tricky to reason through this perhaps the first time, let's just take a very simple example and see if we can do a little sanity check here.
但这个合并过程只需要N步，所以时间复杂度是,第一次对此进行推论可能会有点儿棘手，我们举一个简单的例子,看看我们能否做一些完整性的检查。
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Because in doing that, Python would then have a value that it could pass on into some other part of a computation, and if it wasn't what I wanted, I might be a long ways downstream in the computation before I actually hit some result that makes no sense.
因为如果这样做的话，Python会将,输入的值传递到下面的,一些运算中去，如果这个值的类型不是我想要的，我可能会在得到,一个毫无意义的结果之前,经历一个很长时间的,计算过程。
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Now the nice thing about this is that the degradation mechanisms seem to persist for some period of time, beyond the time at which you deliver the double stranded RNA; whereas, obviously, this mechanism here is only going to exist for as long as the anti-sense sequence is present.
而好消息是降解过程会持续一段时间,比你转入双链RNA的时间要长,但是,这种机制只会在,有反义链的时候发挥作用
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