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NuGet for solutions with multiple projects
Suppose I have a solution with 3 projects:
6 Answers
6
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How do you specify the Java compiler version in a pom.xml file?
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312
<project>
[...]
<build>
[...]
<plugins>
<plugin>
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Possible to iterate backwards through a foreach?
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Shimmy Weitzhandler
88.9k116116 gold badges372372 silver badges585585 bronze badges
answered Jul 31 '09 at 9:40
Sam HarwellSam Harwell
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What are “named tuples” in Python?
Reading the changes in Python 3.1 , I found something... unexpected:
11 Answers
11
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How to detect responsive breakpoints of Twitter Bootstrap 3 using JavaScript?
Currently , Twitter Bootstrap 3 have the following responsive breakpoints: 768px, 992px and 1200px, representing small, medium and large devices respectively.
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Code Golf: Lasers
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Perl, 166 160 characters
Perl, 251 248 246 222 214 208 203 201 193 190 180 176 173 170 166 --> 160 chars.
Solution had 166 strokes when this contest ended, but A. Rex has found a couple ways to shave off 6 more characters:
s!.!$t{$s++}=$&!ge,$s=$r+=99for<>;%d='>....
Which Python memory profiler is recommended? [closed]
...(h.heap())
This gives you some output like this:
Partition of a set of 132527 objects. Total size = 8301532 bytes.
Index Count % Size % Cumulative % Kind (class / dict of class)
0 35144 27 2140412 26 2140412 26 str
1 38397 29 1309020 16 3449432 42 tuple
2 530 0 7398...
Clear text from textarea with selenium
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answered Oct 18 '11 at 15:38
IsaacIsaac
7,44044 gold badges2323 silver badges3030 bronze badges
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How to map and remove nil values in Ruby
...t to become the norm very soon.
For example:
numbers = [1, 2, 5, 8, 10, 13]
enum.filter_map { |i| i * 2 if i.even? }
# => [4, 16, 20]
In your case, as the block evaluates to falsey, simply:
items.filter_map { |x| process_x url }
"Ruby 2.7 adds Enumerable#filter_map" is a good read on the s...
Adding a legend to PyPlot in Matplotlib in the simplest manner possible
...n call legend(loc='upper left').
Consider this sample (tested with Python 3.8.0):
import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(0, 20, 1000)
y1 = np.sin(x)
y2 = np.cos(x)
plt.plot(x, y1, "-b", label="sine")
plt.plot(x, y2, "-r", label="cosine")
plt.legend(loc="upper left")
p...
