大约有 43,400 项符合查询结果(耗时:0.0286秒) [XML]

https://stackoverflow.com/ques... 

Regex to validate date format dd/mm/yyyy

... 20 Answers 20 Active ...
https://stackoverflow.com/ques... 

How can I multiply and divide using only bit shifting and adding?

...fting you want to decompose one of the numbers by powers of two, like so: 21 * 5 = 10101_2 * 101_2 (Initial step) = 10101_2 * (1 * 2^2 + 0 * 2^1 + 1 * 2^0) = 10101_2 * 2^2 + 10101_2 * 2^0 = 10101_2 << 2 + 10101_2 << 0 (Decomposed) = 10101_2 *...
https://stackoverflow.com/ques... 

Mean per group in a data.frame [duplicate]

... 257 This type of operation is exactly what aggregate was designed for: d <- read.table(text= '...
https://stackoverflow.com/ques... 

What is the optimal Jewish toenail cutting algorithm?

...le. Luckily, humans only have five toes per foot*, so there are only 5! = 120 unrestricted sequences. Python example: #seq is only valid when consecutive elements in the list differ by at least two. def isValid(seq): for i in range(len(seq)-1): a = seq[i] b = seq[i+1] ...
https://stackoverflow.com/ques... 

How is OAuth 2 different from OAuth 1?

In very simple terms, can someone explain the difference between OAuth 2 and OAuth 1? 10 Answers ...
https://stackoverflow.com/ques... 

Difference between Math.Floor() and Math.Truncate()

... 12 Answers 12 Active ...
https://stackoverflow.com/ques... 

Mapping two integers to one, in a unique and deterministic way

... 234 You're looking for a bijective NxN -> N mapping. These are used for e.g. dovetailing. Have ...
https://stackoverflow.com/ques... 

Understanding exactly when a data.table is a reference to (vs a copy of) another data.table

... 2 Answers 2 Active ...
https://stackoverflow.com/ques... 

Iterating over every two elements in a list

... 21 Answers 21 Active ...
https://stackoverflow.com/ques... 

Creating dataframe from a dictionary where entries have different lengths

...hon 3.x: import pandas as pd import numpy as np d = dict( A = np.array([1,2]), B = np.array([1,2,3,4]) ) pd.DataFrame(dict([ (k,pd.Series(v)) for k,v in d.items() ])) Out[7]: A B 0 1 1 1 2 2 2 NaN 3 3 NaN 4 In Python 2.x: replace d.items() with d.iteritems(). ...