Numarray，数字，NumPy，scpy_core ?? !! [英] Numarray, numeric, NumPy, scpy_core ??!!
问题描述
嗨
我希望此消息的标题表明我的问题。我正在寻找基于
数组功能的
，而且事实证明所有这些
包都是
以某种方式相关。据称有些已经停产，但似乎仍然需要更新。我们可以开始讨论哪个包将会或者可以生存吗？
我开始使用numarray，但我有一个我不能做的错误找到一个
的解决方案，所以我开始了
再次环顾四周。基本上我想为图形引擎提供脚本支持。所有的
矩阵和向量都是用C ++编写的，我想要做的就是为python提供一个
的接口。事实上，所有矩阵
乘法等都可以保留在原生C ++代码中，但我需要一种
方式来扩展python语言与数组数据类型和某种方式
拦截操作员调用，如*，+， - ....
如何在当前库中完成... Thx任何帮助。
干杯
Jochen
Hi
I hope the title of this message indicates my question. I am looking
for basic
array functionality in Python and it turns out that there are all these
packages which
are somehow related. Some are allegedly discontinued but still seem to
get updated. Could we start a discussion about which package will or
may or should survive ?
I started to use numarray, but I have a bug that I just cannot find a
solution for, so I started
to look around again. Basically I want to provide scripting support to
a graphics engine. All the
matrices and vectors are in C++ and all I want to do is provide an
interface to python. As a matter of fact, all of the matrix
multiplication etc, could remain in the native C++ code, but I need a
way to extend the python language with the array data type and somehow
intercept operator calls such as *,+,- ....
How is that done in the current libraries... Thx for any help.
Cheers
Jochen
推荐答案
J写道：
嗨
我希望这条消息的标题表明我的问题。我正在寻找基本的
数组功能在Python中，事实证明，所有这些
包都是以某种方式相关的。据称有些已停产，但似乎仍在更新中。我们可以开始讨论哪个包或者
可以或应该存活吗？
我开始使用numarray，但我有一个错误，我找不到一个
解决方案所以我开始再次环顾四周。基本上我想为图形引擎提供脚本支持。所有的
矩阵和向量都是用C ++编写的，我想要做的就是为python提供一个
接口。事实上，所有矩阵的乘法等都可以保留在原生C ++代码中，但我需要一种方法来扩展python语言的数组类型，并且不知何故
拦截操作员调用，例如*，+， - ....
如何在当前库中完成... Thx以获得任何帮助。
干杯 Jochen
我知道在理解依赖关系时遇到类似麻烦的痛苦
什么是什么以及为什么，所以任何启示都要摆脱我的
混淆，以区分什么是什么，为什么非常受欢迎。
我决定使用numarray，所以也许你可以报告你的问题/ bug
是在我遇到它之前？我之所以决定使用numarray
的原因是，整个scpy_core故事似乎或多或少都是商业化的，而且它的免费版本是因为没有
最新功能。
Claudio
I know the pain having similar trouble to understand the dependencies
and what is what and why, so any enlightenment towards getting rid of my
confusion to distinguish what is what and why is highly welcome.
I decided to use numarray, so maybe you can report what your problem/bug
is before I run into it myself? The reason why I decided to use numarray
was, that the whole scpy_core story seems to get more or less commercial
and its free version comes because of this with no documentation of
newest features.
Claudio
J写道：
嗨
我希望这条消息的标题表明我的问题。我正在寻找基本的
数组功能在Python中，事实证明，所有这些
包都是以某种方式相关的。据称有些已停产，但似乎仍在更新中。我们可以开始讨论哪个包或者
可以或应该存活下来吗？
Hi
I hope the title of this message indicates my question. I am looking
for basic
array functionality in Python and it turns out that there are all these
packages which
are somehow related. Some are allegedly discontinued but still seem to
get updated. Could we start a discussion about which package will or
may or should survive ?
你错过了讨论。答案是numpy。
http://numeric.scipy.org/
邮件列表为 nu**************@lists.sourceforge.net ：
http://sourceforge.net/mail/?group_id=1369
-
Robert Kern
ro ********* @ gmail.com
在草地长高的地狱里
梦想的坟墓是否能够死亡。
- Richard Harter
You missed the discussion. The answer is numpy.
http://numeric.scipy.org/
The mailing list is nu**************@lists.sourceforge.net :
http://sourceforge.net/mail/?group_id=1369
--
Robert Kern
ro*********@gmail.com
"In the fields of hell where the grass grows high
Are the graves of dreams allowed to die."
-- Richard Harter
Claudio Grondi写道：
Claudio Grondi wrote:
我决定使用numarray，所以也许在我自己遇到问题之前，您可以报告您的问题/错误是什么？我决定使用numarray的原因是，整个scpy_core故事似乎或多或少都是商业化的，而且它的免费版本是因为没有最新功能的文档。
I decided to use numarray, so maybe you can report what your problem/bug
is before I run into it myself? The reason why I decided to use numarray
was, that the whole scpy_core story seems to get more or less commercial
and its free version comes because of this with no documentation of
newest features.
不，numpy（曾经是scipy_core）是完全免费的。它永远不会将
变成专有包。
然而，完整的文档目前仅以PDF格式提供给
购买，但只有在销售了一定数量的副本之后，或者足够的时间过去了b $ b。相信我，Numeric和numarray的旧手册从来都不是完整的。没有人能够花时间将
免费提供给他们。为文档收费（在有限的时间内）是唯一的方式
Travis Oliphant可以花时间编写完整的文档
并编写代码。我认为这本书的质量很适合这种选择。
当然，文档覆盖率非常好，我们已明确欢迎
努力提供免费文档。到目前为止，那些自愿参加过
的人还没有产生任何东西。并且由于旧的Numeric手册不完整，因为
Numeric *，它和实际分发的免费文档numpy
并描述了两者之间的差异很长的路。
-
Robert Kern
ro ********* @ gmail.com
在草地长得高的地狱里
是否允许死亡的坟墓死亡。
- Richard Harter
No, numpy (which used to be scipy_core) is completely free. It will never turn
into a proprietary package.
The complete documentation, however, is currently available only as a PDF for
purchase, but only until a certain number of copies have been sold, or enough
time passes. Believe me, the old manuals for Numeric and numarray were never as
complete. No one could ever commit the time to thoroughly document them for
free. Charging for the documentation (for a limited time) was the only way
Travis Oliphant could afford to spend the time to write the full documentation
and write the code. I think the quality of the book speaks well for that choice.
Of course, the docstring coverage is quite good, and we have explicitly welcomed
efforts to produce free documentation. So far, those who have volunteered
haven''t produced anything. And as incomplete as the old Numeric manual was *for
Numeric*, it and the free documentation that is actually distributed with numpy
and describes the differences between the two goes a long way.
--
Robert Kern
ro*********@gmail.com
"In the fields of hell where the grass grows high
Are the graves of dreams allowed to die."
-- Richard Harter
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