So, what we do at the start of the semester, and these are essentially training wheels we very quickly take off once you get more comfortable, we provide you with our own library.

那我们这学期初要做些什么呢？,经过一些必要的训练,让我们迅速褪去无知，变得更加充实，我们会提供自己的库。

哈佛公开课 - 计算机科学课程节选

The categories, the colors, very quickly start to make sense when you just start poking around.

类别，颜色，当你刚开始移动它们,的时候就能进行这个了。

哈佛公开课 - 计算机科学课程节选

To help you know sort of ahead of time quickly what those views are, I want to start by describing a set of views that many of you probably believe.

让你们稍微提早点儿知道,那些观点是什么，我想要从描述它开始,可能你们有些人会相信。

耶鲁公开课 - 死亡课程节选

OK. We wanted to finish up that section, we're now going to start on a new section, and I want to try and do one and a half things in the remaining time. I'm going to introduce one topic that we're going to deal with fairly quickly, and then we tackle the second topic, it's going to start today, and we're going to carry on.

我们该结束这一段了，现在我们要开始新的课程，我在接下来的时间里要做1。5件事情,我首先会很快的对一个我们,要学习的课题,进行一个介绍，然后再进入第二个话题，今天我们只是开始这个话题，以后还要继续讲。

麻省理工公开课 - 计算机科学及编程导论课程节选

So now you can start to see the things can get interesting quickly.

接下来，你们很快就能看到,这个东西其实很有趣了。

哈佛公开课 - 计算机科学课程节选

And you can very quickly take this feature to an extreme 10 and start putting X and Y and A and B and 10 and all your variables up top because it would seem to solve all of your problems and stop all of your thinking, but it's generally not a good thing.

你可能迅速地使这个特征成为一个极端,开始把X和Y和A和B和0,和所有的变量都放在最前，因为好像它可以,解决你的所有问题，并中止你的想法，但通常这不是一件好事情。

哈佛公开课 - 计算机科学课程节选