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Extract elements of list at odd positions

... 232 Solution Yes, you can: l = L[1::2] And this is all. The result will contain the elements p...
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The modulo operation on negative numbers in Python

...the denominator (divisor). Your expression yields 3 because (-5) / 4 = -1.25 --> floor(-1.25) = -2 (-5) % 4 = (-2 × 4 + 3) % 4 = 3. It is chosen over the C behavior because a nonnegative result is often more useful. An example is to compute week days. If today is Tuesday (day #2), what is the...
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Getting key with maximum value in dictionary?

... 25 Answers 25 Active ...
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莱昂氏unix源代码分析 PDF - 文档下载 - 清泛网 - 专注C/C++及内核技术

...源代码交叉引用列表 9 第一部分 初始化、进程初始化 25 第二部分 陷入、中断、系统调用和 进程管理 75 第三部分 程序交换、基本输入/输出、 块设备 109 第四部分 文件和目录、文件系统、...
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What's the 'Ruby way' to iterate over two arrays at once

... 277 >> @budget = [ 100, 150, 25, 105 ] => [100, 150, 25, 105] >> @actual = [ 120, 1...
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How do I loop through a list by twos? [duplicate]

I want to loop through a Python list and process 2 list items at a time. Something like this in another language: 7 Answers...
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How to calculate moving average using NumPy?

... ret[n:] - ret[:-n] return ret[n - 1:] / n >>> a = np.arange(20) >>> moving_average(a) array([ 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15., 16., 17., 18.]) >>> moving_average(a, n=4) array([ 1.5, 2.5, 3.5, 4...
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Clojure 1.2.1/1.3/1.4 'proxy generated in Grails 2.0.0 runtime fails. 1.2.0 is fine

I'm working on extending the Grails Clojure plugin in Grails 2.0.0 (and 2.1.0-SNAPSHOT) and I wanted to update it to Clojure 1.3.0 and add clojure.tools.logging . ...
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How to find the installed pandas version

...ion__: In [76]: import pandas as pd In [77]: pd.__version__ Out[77]: '0.12.0-933-g281dc4e' Pandas also provides a utility function, pd.show_versions(), which reports the version of its dependencies as well: In [53]: pd.show_versions(as_json=False) INSTALLED VERSIONS ------------------ commit: ...
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How to form tuple column from two columns in Pandas

... 208 Get comfortable with zip. It comes in handy when dealing with column data. df['new_col'] = l...