在 中文 中使用 Numpy 的示例及其翻译为 英语
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会NumPy指导委员会.
The NumPy Steering Committee.这就是它们在NumPy中的表示方式。
Here is how you do this in NumPy.在Numpy，这被称为广播。
In AWeber, this is known as a Broadcast.这就是它们在NumPy中的表示方式。
This is how we represent them in NumPy.NumPy的数组类被称为ndarray。
Numpy's array class is called ndarray.因此，该类型在NumPy中就记作float64。
Thus, this type is known in NumPy as float64.Numpy中的append方法可以帮助我们实现它。
The append method in numpy helps us do this.因此，这一类型在NumPy中被认为是float64。
Thus, this type is known in NumPy as float64.NumPy的数组类被称为ndarray。
NumPy's multidimensional array is known as ndarray.轻松计算Numpy的标准偏差：.
Easily calculate the standard deviation in Numpy like so:.NumPy的替代品，可使用GPU的强大功能.
A replacement for NumPy to use the power of GPUs.为了使用numpy，我们需要先将numpy导入：.
那就使用PyTorch，因为NumPy无法做到这一点。
Use PyTorch because you can't do that with NumPy.幸运的是，numpy让这个变得十分简单：.
Fortunately, minidom makes this fairly easy to achieve:.此函数的行为类似于numpy.einsum,但不支持：.
This function behaves like numpy. einsum, but does not support:.它们是numpy的标准矢量/矩阵/张量类型。
They are the standard vector/matrix/tensor type of numpy.另外我们还需要numpy和matplotlib这两个库。
We also need the NumPy and Matplotlib libraries.NumPy里面的数据类型比Python的多。
There are considerably more data types in NumPy than Python-如何使用NumPy计算欧几里得距离？?
How can the euclidean distance be calculated with numpy?与Python科学软件堆栈集成（感谢Numpy）.
Integration with the python scientific software stack(thanks to Numpy).它是一个与NumPy和SciPy相关联的python库。
It is a Python library associated with NumPy and SciPy.Numpy中的flatten和ravel函数有什么区别？?
What is the difference between flatten and ravel functions in numpy?在熟练掌握NumPy之前，你需要了解Python。
You need to know Python before getting proficient in NumPy.该numpy.ma模块附带了大多数ufunc的特定实现。
The numpy. ma module comes with a specific implementation of most ufuncs.由于SciPy建立在NumPy上，它有相同的目标受众。
Since it builds on top of NumPy, SciPy has the same target audience.NumPy中的通用函数足够灵活，具有混合类型签名。
Universal functions in NumPy are flexible enough to have mixed type signatures.我们使用numpy，因为它可以快速进行矩阵乘法计算。
We use numpy library because it makes our matrix multiplication to become fast.这些偏移量通常由numpy自动确定，但也可以指定。
These offsets are usually determined automatically by numpy, but can also be specified.继续学习NumPy和Pandas，但现在的重点是二维数据.
Continue learning about NumPy and Pandas, this time focusing on two-dimensional data.Dtype才是numpy能灵活处理其他外界数据的原因。
Dtypes are a source of NumPy's flexibility for interacting with data coming from other systems.
