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Now these ideas of classes, object-oriented programming, data abstraction, are about 40 years old, they're not new ideas.
面向对象编程的概念，数据抽象的概念，都是40年前就有的老东西了。
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Data's what we expect. It's our way of representing fundamentally the kinds of information we want to move around.
数据是我们一直需要的,它是用来表达我们想要操作的,数据类型的基本方式，这里。
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I was able to do letter writing, I was able to do data collection, and do a product there.
我以前上书信写作的课，要上数据搜集的课，还要上美工课。
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So, more data to come, so this is a clip some of you might have seen in section already.
随着更多数据的出现，就会形成一个标签,有些人可能已在相应章节中看到过了。
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If you go onto the continent,though, they tended to be interrupted by World War I and World War II.
如果你们往欧洲大陆国家那里考虑,一战和二战期间的数据几乎是没有存档的
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I should just say that the data i just gave you is real data but it's actually mixed ability data.
我强调一点我给你们的数据是真实数据,但是它是综合了各种能力后的数据
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He introduced the concept of electronegativity which was a measure, therefore, it is quantitative, of the atom's ability to attract electrons within a covalent bond and developed a scale of electronegativity.
他引入了电负性这一概念,一个反映着原子在成共价键时吸引电子的能力的数据标度，因此这是数量上的，在共价电子中,电子原子能吸引电子,并发展为一定规模的电负性。
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they won't say, "Oh, because of this experiment, that experiment, " this data set and that data set."
他们不会说，“因为理论得到了这个实验，那个实验，这套数据，那套数据的支持“
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A lot of sciences rest on data that is flawed in some ways because of the difficulties in assessing what people eat.
许多依赖数据的科学常识是有瑕疵的,由于评估人类所吃食物非常困难
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% while its economy has been growing at 9% 8%,9% a year? -Yes... The data you are quoting is on Child Main Nutrition.
而期间其经济却以%,8%或9%的速度增长？，-嗯。,你所引用的数据,是关于，儿童营养的。
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And you can join on to the Red Sox nation on top of that, and part of being a good Red Sox fan is knowing the statistics of your team.
除此之外你们可以,加入红袜队的国度，作为一个好的红袜队球迷,也是了解你们支持球队的,数据的一部分。
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When structuralism thinks about how yesterday things were different from the way they are today, it has to say: yesterday there was a certain synchronic cross-section of data, and today there's a slightly different synchronic cross-section of data.
结构主义想,昨天的事情和今天的事情如何不同时，它不得不说：,昨天有某个数据的同步剖面，今天有数据的略微不同的同步剖面。
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We're kind of guessing on these population figures.
而我们对于这样得到的人口数据的准确性,仍表示怀疑
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Now when the only types we're dealing with are the built-in types, the ones that came with the programming language, that doesn't really matter.
现在我们对付的数据类型,只有内置的数据类型,也就是编程语言固有的类型。
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Alright, so it turns out there're two other useful types that you don't get for free out of the box.
我们还是回到这里，还有两种很有用的数据类型,这两种都不用担心内存不足。
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Instead if we want this pointer to represent the address of something in as much as it points at that address let's just draw an arrow.
如果我们想要让这个指针表示,数据的地址，它指向的地址,我用一个箭头表示。
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That means--his calculations are very different than the ones I have because he has a much longer sample period.
那表明。。。他的计算结果与我的大相径庭,因为它数据的取样跨度比我的长多了。
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Well let me put up some real numbers and we'll see about how much the correspondence to what we've got here.
现在我们用真实的数据,来和我们的结论比对一下
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Number one, the basic structure is that you have a pointer and it points over to a pointee, but the pointer and pointee are separate and the common error is to set up a pointer but to forget to give it a pointee.
第一，基本结构是，你有一个,指向数据的指针，但是那个指针和数据,是分开的，通常错误是声明了一个指针,但是没有指向一个数据。
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What you have to do is have the courage to say I have got to account for the bad data, what I think are bad data and the data that helped me build my theory.
你们要做的就是，鼓起勇气来说,我已经解释出了那些劣质的数据，和我认为是劣质的数据,还有那些帮助我建立理论的数据。
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And the second thing we're going to need, is we're going to need a way to give instructions to the computer to manipulate that data.
我们需要的第二件事情是，我们需要一种,能给予计算机指令,以操作数据的方式。
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The good news is the elements in any one spot in a hash table are likely to be a small number, three, four, five.
好的一点是在哈希表中,任何一个存贮点上的元素数据是很小的,三个，四个，五个。
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And so far when reviewing the developmental data we've talked about two of them: physics and people.
到目前为止,当我们回顾发展的数据时,我们讨论了其中的两个主题,物理学和人类
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So, that's Rutherford's explanation of this set of data.
这就是卢瑟福怎么解释这些数据的。
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But in China the numbers look like this, and in India they look this.
而如今,中国的数据是这样的,印度的数据就是这样的
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This is--I'm showing here U.S. data, but Siegel also argues in the latest edition that the equity premium is also high for advanced countries over the whole world.
这就是。。。我在这展示的是美国的数据，但是西格尔在他最新出版的书中讨论道,在世界范围内许多发达国家的,股票溢价同样很高。
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And the only thing that's differing is the name of the type and the name of the variable I'm using.
其中唯一的区别是数据类型的名字,和我使用的变量名字。
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This is since 1802-- now how many countries do you think have uninterrupted stock market data since 1802?
西格尔使用的数据始于1802年...,你们想想现在有多少的国家,存有从1802年以来,股票市场的完整数据呢
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Conceptually, it's put at the top of my chunk of RAM, -- below it, goes initialized and uninitialized data -- - this is a fancy way of saying global variables come next -- and below that, comes what's called the heap.
概念上，它放置在内存块的顶端，在下面，已初始化的和未初始化的数据-,这是一种指明紧随其后的全局变量的设想方式-,在后来，引入了一个叫做堆的东西。
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This is why he gets the Nobel prize and Lewis did not get the Nobel prize, but Pauling's work was quantitative.
这是为什么他荣获了诺贝尔奖,而Lewis没获得，鲍林的工作是数据性的，是量化的。
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