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How to convert a Git shallow clone to a full clone?

... Sachin Joseph 14.4k33 gold badges3232 silver badges5353 bronze badges answered Jul 23 '11 at 17:55 svicksvick ...
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Import pandas dataframe column as string not int

I would like to import the following csv as strings not as int64. Pandas read_csv automatically converts it to int64, but I need this column as string. ...
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Generate a UUID on iOS from Swift

... Try this one: let uuid = NSUUID().uuidString print(uuid) Swift 3/4/5 let uuid = UUID().uuidString print(uuid) share | improve this answer | follow ...
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python assert with and without parenthesis

... answered Jun 24 '10 at 17:00 Mark RushakoffMark Rushakoff 214k3737 gold badges383383 silver badges383383 bronze badges ...
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How do I replace NA values with zeros in an R dataframe?

...:10), 100, replace = TRUE), 10) > d <- as.data.frame(m) V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 1 4 3 NA 3 7 6 6 10 6 5 2 9 8 9 5 10 NA 2 1 7 2 3 1 1 6 3 6 NA 1 4 1 6 4 NA 4 NA 7 10 2 NA 4 1 8 5 1 2 4 NA 2 6 2 6 7 4 6 NA 3 NA NA 10 2 1 10 8 4 ...
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Sequence contains more than one element

... Cᴏʀʏ 93.2k1818 gold badges154154 silver badges181181 bronze badges answered Aug 10 '09 at 19:38 JaredParJaredPar ...
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What does .SD stand for in data.table in R

...,3), v=1:6) setkey(DT, y) DT # x y v # 1: a 1 1 # 2: b 1 3 # 3: c 1 5 # 4: a 3 2 # 5: b 3 4 # 6: c 3 6 Doing this may help you see what .SD is: DT[ , .SD[ , paste(x, v, sep="", collapse="_")], by=y] # y V1 # 1: 1 a1_b3_c5 # 2: 3 a2_b4_c6 Basically, the by=y statement breaks the orig...
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How to make PyCharm always show line numbers

... 345 Version 2.6 and above: PyCharm (far left menu) -> Preferences... -> Editor (bottom left s...
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What do (lambda) function closures capture?

...ers[i] = (lambda b: lambda a: b + a)(i) ... >>> adders[1](3) 4 >>> adders[2](3) 5 The scope here is created using a new function (a lambda, for brevity), which binds its argument, and passing the value you want to bind as the argument. In real code, though, you most likely w...
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How to put individual tags for a scatter plot

... as np import matplotlib.pyplot as plt N = 10 data = np.random.random((N, 4)) labels = ['point{0}'.format(i) for i in range(N)] plt.subplots_adjust(bottom = 0.1) plt.scatter( data[:, 0], data[:, 1], marker='o', c=data[:, 2], s=data[:, 3] * 1500, cmap=plt.get_cmap('Spectral')) for label, x...