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Concatenating Files And Insert New Line In Between Files
...ern $ has two meanings, firstly it matches the last line number only (as a range of lines to apply a pattern on) and secondly it matches the end of the line in the substitution pattern.
If your version of sed doesn't have -s (process input files separately) you can do it all as a loop though:
for ...
Is there a float input type in HTML5?
...lt;input type=number step=any /> Step any<br />
<input type=range step=20 /> Step 20<br />
<input type=datetime-local step=60 /> Step 60 (default)<br />
<input type=datetime-local step=1 /> Step 1<br />
<input type=datetime-local step=any /...
cartesian product in pandas
...x[:] = 0
df_cartesian = df1.join(df2, how='outer')
df_cartesian.index[:] = range(len(df_cartesian))
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How to get number of rows using SqlDataReader in C#
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A RepeatableRead isolation level does not perform range-locking so it still allows records to be inserted, you need to be using an isolation level of Snapshot or Serializable.
– Lukazoid
Feb 20 '14 at 13:35
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Check whether an array is a subset of another
... t2.All(e => t1.Contains(e)): 702ms. And it get's worse the bigger the range.
– abto
Nov 2 '14 at 12:21
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How to search for a part of a word with ElasticSearch
...ike it would be linearly dependent on the size of the field values and the range of min and max. How frowned upon is using something like this?
– Glen Thompson
Oct 26 '19 at 16:34
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Rotate axis text in python matplotlib
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Try pyplot.setp. I think you could do something like this:
x = range(len(time))
plt.xticks(x, time)
locs, labels = plt.xticks()
plt.setp(labels, rotation=90)
plt.plot(x, delay)
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Remove all occurrences of a value from a list?
... original list.
>>> import random, timeit
>>> a = list(range(5)) * 1000
>>> random.shuffle(a)
>>> b = a
>>> print(b is a)
True
>>> b = [x for x in b if x != 0]
>>> print(b is a)
False
>>> b.count(0)
0
>>> a.count(0)...
如何选择机器学习算法 - 大数据 & AI - 清泛网移动版 - 专注C/C++及内核技术
...here you have class A at the low end of some feature x, class B in the mid-range of feature x, and A again at the high end). One disadvantage is that they don’t support online learning, so you have to rebuild your tree when new examples come on. Another disadvantage is that they easily overfit...
Calculating Pearson correlation and significance in Python
...= average(y)
diffprod = 0
xdiff2 = 0
ydiff2 = 0
for idx in range(n):
xdiff = x[idx] - avg_x
ydiff = y[idx] - avg_y
diffprod += xdiff * ydiff
xdiff2 += xdiff * xdiff
ydiff2 += ydiff * ydiff
return diffprod / math.sqrt(xdiff2 * ydiff2)
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