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So first, I choose a volatility randomly, from some distribution of possible volatilities 2 from to, in this case, 0.2.
来决定的一个值，所以首先我先随机选择一个浮动值，从可能的浮动值中的分布进行选择,在这个例子中就是0。
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If my code is correct, what should the average price be, after say, 100 days, if there's no bias. Pardon?
如果我的代码没写错的话，如果没有偏向值那平均价格会是多少呢，如果没有偏向值，请说？
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And so, I need to cheat a little bit on the drawing and make sure that this minimum occurs right here.
所以，我需要在画时作点弊,以确保最小值出现在这儿。
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This refers to a tendency for people in making quantitative judgments to subconsciously have their judgments anchored by some arbitrary stimulus.
指的是,人们在做定量估测时,会受外界影响,将某些特定数值作为起始值,而起始值像锚一样制约着估测值
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Take the difference of the two velocities and divide by the difference of the two times, and you've got the acceleration.
求出速度的差值,除以时间的差值,这样就能得到加速度
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So, for example, if we were looking at the actual wave function, we would say that these parts here have a positive amplitude, and in here we have a negative amplitude.
我们看，一个波函数,我们说，它这部分幅值，为正,这部分幅值为负，当我们看。
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Number three, pointer assignment, takes one pointer and changes it to point to the same pointee as another pointer so after the assignment the two pointers will point to the same pointee.
第三条，指针赋值，使一个指针,指向另外一个指针所指向的数据,赋值过后，两个指针会指向,同样的数据。
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OK, so, the thing about a state function is that the function has a value for initial conditions and at final conditions.
态函数的特点是,在初始状态有一个值,在末状态也有一个值。
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It adds fifty percent or a half to that and that means instead of two quarter notes that we now have three and we can do the same thing to any one of these other values here and that's how we get our triple relationships.
加上了百分之五十或者说一半的原音符值,这意味着除了有两个四分音符,我们现在有三个了,我们也可以在其他这些音符值后加上附点,这就是我们如何做到三倍形式的安排的
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So this is one more example of stressing why I only want to come access to the instances through defined methods.
其他相关的值也会变化,我想要这些值会一起变化,这就是另外一个强调为什么。
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Literally, return the control from this function, and take the value of the next expression, and return that as the value of the whole computation.
正如字面意义上说的，从这个函数返回，然后取得下一个表达式的值,并把这个值作为整个计算的结果返回。
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And once I have values, I want to get a hold of them so I can give them names.
如果我有想保存的值，我可以命名这些值,也就是进行了绑定。
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So, sometimes people get confused when they're solving problems and call the amplitude this distance all the way from the max to the min but it's only half of that because we're only going back to the average level.
解题的时候会弄错，把这个从,最大值到最小值的距离,叫做幅值，但实际上,只有它的一半,只是它和平均值的差距。
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So if you don't actually assign to something, it falls on the floor and the value goes away.
所以是，如果你没有赋值，它掉在地上，那个值就不存在了。
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And then I could also do a Gaussian one here, with the mean of and the standard deviation of volatility divided by 2.
然后我在这里再写一个高斯分布的函数，它的浮动值的平均值和,标准偏差值都除了2。
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Here I actually need to tell the computer, "Give me some bytes in ram in which to store a value, and that value's going to be a floating point value."
这里我的确需要告诉计算机，“给我一些字节内存,来存储一个值，那个值将是,浮点型的数值“
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In math, when you see multiple value solutions, these are eigenvalues.
在数学中，当你看到许多值的解法时，这些就是特征值。
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And the difference between those is what you could measure.
这其中的差值就是,我们测量的值。
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OK, so R minimum, the minimum separation occurs when the energy is at its minimum.
好的，所以R处是最小值，间距最小值出现在,当能量为最小的时候。
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It sets the mean to 0, for s in stocks and then for s in the stocks, it moves it, giving it the bias and the momentum, then it shows the history.
它会让平均值等于，然后，它会改变它们的值，给它一个偏向值和股价势头值，然后它就会显示历史。
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First, it's pointing to the beginning of the list, which initially might be down here at but after a while, might be part way through. And to that, I simply add a halfway point, and then I check.
列表中间的一个部分了，然后我求出列表的中值点,然后看看该点的值是不是等于目标值，如果是的话就完成了，如果不是的话，如果中位值大于我要找的目标值。
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Because it says, your program will still give you a value, but it may not be what you intended, and you can't always tell, and that may propagate it's way down through a whole bunch of other computations before it causes some catastrophic failure.
因为这意味着，你的程序依然会返回一个值，但是这个值可能不是你想要的，你可能还分辨不出来，而且这种情况会传播,结果会沿着正果计算过程传播下去,直到产生一个灾难性的错误。
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uniform So here, I'm going to look at the thing random dot uniform, for example, between minus volatility and plus volatility.
所以在这里，我会看到random。,比方说，在-浮动性值+浮动值之间。
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Well, I kind of ignored the notion of bias 0 by making it 0, so let's give it a big bias here.
我一开始的时候,是让偏向值等于，所以这次让我们设一个比较大的偏向值。
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And if it returns a value, you've got to do something with that return value too, much like we did up here.
如果它返回了一个值，你便用那个返回值,做一些事情，就像我们刚在上面做的。
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No, we can't. Because if l equals 1, we can not have m sub l equal negative 2, right, because the magnetic quantum number only goes from negative l to positive l here.
不行，因为如果ｌ等于１,ｍｌ的值不可能等于－２，对吧，因为磁量子数的值,这时只能从－１到１
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Need to get the base in. Second thing I want to do, I need to get the height, so I'm going to input a value for the height, also as a float, a floating point.
也就是输入底的值，第二件我想要做的，事情就是得到三角形的高,因此我会输入一个值作为三角形的高，同样也是一个浮点数。
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Now what I'm going to try and do is read in a set of values, but I'm going to give a type of value as well as the messages.
现在我要做的是输入一些值,并关注异常,我会输入消息以及一种其他的值。
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Remember when we have waves we can have positive or a negative amplitude.
记住一个波会有,正的幅值和负的幅值。
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Because it was one small number to one slightly smaller number.
因为这不过是一个小值,和一个稍微更小的值的区别。
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