Built-in data types such as integers, characters, and so forth.

内置数据类型，如整型、字符型等。

youdao

For the simple built-in data types, Python does a lot of the work for you.

对于简单的内置数据类型，Python替您做了大量的工作。

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Most popular programming languages have several built-in data types, and Python is no different in this respect.

大多数流行的编程语言都有多个内置的数据类型，在这一方面Python也一样。

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Well basically what we're doing is we're giving ourselves the ability to create data types the same way that we have some built-ins, so we have things like int, float, string, these are built-in data types.

就是要赋值我们自己创建,和内置的数据类型,相同的数据类型的能力,我们有一些内置的数据类型，如int，float，string等，如果你考虑下这些数据类型。

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But one of the teaching fellas also passed long to us recently, a little real world example of what happens when you're not mindful of various data types and you're not mindful of the imprecision that's inherent in representing data in a computer, at least using a language like C and low level primitives like floats and even doubles.

最近有个助教告诉我们，一个现实世界中的例子,当你不注意各种各样的数据类型,也不注意在计算机中表示数据时,其内在的不精确性，至少在用像C语言,和float甚至double型数据时，那将会发生什么？

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Integrating all these data types in one platform and using their power in full conjunction across an enterprise is the long-term possibility of Metropolis, which makes it a very different animal from traditional quant platforms.

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Millions of simultaneous users play Farmville or Draw Something (which scaled up to 36 million users in 6 weeks), which requires a simple, fast, elastic database (called a NoSQL database, a new category of product designed for the age of big data), that can process and deliver massive amounts of user and other types of data in real time.

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This is especially true in online analytical processing, which stores the data in an optimal form to support specific types of analysis.

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