• But things are beginning to look up. Carefully,cautiously, we can say that there is a break in the clouds,".

    VOA: standard.2009.04.26

  • What's the point of this? Again, now that I can think about things recursively, I can similarly break things down into simpler versions of the same problem. It could be one version.

    这些的意思是什么呢?再一次我想说,我既然能够以递归的方式思考了,那么我就可以简单地把问题,转化为更简单的同类问题。

    麻省理工公开课 - 计算机科学及编程导论课程节选

  • That's what you need for a phalanx, because to maintain the integrity of the hoplite line, you can't have bumps and grooves, and trees and rivers in the way; it will break things up.

    而是方阵作战所必备的条件,为了维持重装步兵队列的完整性,就不能在坑坑洼洼,有树林有河流的地方布阵,这会把方阵打散

    耶鲁公开课 - 古希腊历史简介课程节选

  • Socrates turns to a discussion of what kinds of things can break and what kinds of things can't break.

    苏格拉底转而讨论,什么东西能够破裂,什么东西不能破裂。

    耶鲁公开课 - 死亡课程节选

  • We'll talk more about this later, but it often happens that when you change your program to solve one problem you break it, and things that used to work don't work.

    我们以后会更多的去讨论者一点,但是经常发生的情况是当你因为,一个问题修改你的程序的时候,你修改了程序,但原来没问题的模块。

    麻省理工公开课 - 计算机科学及编程导论课程节选

  • Those are the sorts of things we need to break down the statistics the billion people in poverty.

    我们需要用这些事例,让人们对几十亿人口,这样一个数据有具体的认识。

    普林斯顿公开课 - 人性课程节选

  • So things break if you try-- if the computer tries to take you too literally so it would not be correct generally to do something like that.

    如果你把它分开-,那么电脑会逐字逐句地解析,你拆开写的代码,由此得到的结果一般都是错误的。

    哈佛公开课 - 计算机科学课程节选

  • In our business, you got to be inventing new things because software doesn't wear out, it doesn't break, or at least if it breaks it was broken when you finished it, it doesn't break over time the way physical goods do.

    在我们行业,你需要不断发明新事物,因为软件并不会磨损,不会坏,或者至少如果坏了,也是在你运行完之后,它并不像物理上的东西会随着时间磨损。

    斯坦福公开课 - 微软CEO-Steve.Ballmer谈科技的未来课程节选

  • What are the ramifications of the proposed change. Will it break other things?

    可能的变化有什么分支?,它们会不会导致其它错误?这是件大事?

    麻省理工公开课 - 计算机科学及编程导论课程节选

  • OK. Today, for the rest of the lecture, we're going to take a break from the topic of algorithms, and computation, and things of the sort. And do something pretty pragmatic.

    好,今天剩下的时间里,我们不再讲算法,计算和排序这些话题了,我们会做一些非常实用的事,我们主要的讲讲测试。

    麻省理工公开课 - 计算机科学及编程导论课程节选

  • Things generally break and this is also not very readable.

    一切都改变了,而且这样写出的代码可读性也不高。

    哈佛公开课 - 计算机科学课程节选

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