大约有 5,685 项符合查询结果（耗时：0.0293秒） [XML]
How to get the second column from command output?
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#!/usr/bin/python
import sys
col = int(sys.argv[1]) - 1
for line in sys.stdin:
columns = line.split()
try:
print(columns[col])
except IndexError:
# ignore
pass
Then, supposing you name the scrip...
How to train an artificial neural network to play Diablo 2 using visual input?
... platform to play virtually any game using machine learning. The API is in Python, and it runs the games behind a VNC remote desktop environment, so it can capture the images of any game! You can probably use Universe to play Diablo II through a machine learning algorithm!
OpenAI's Gym: Similar to U...
How can I generate Unix timestamps?
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In python add the following lines to get a time stamp:
>>> import time
>>> time.time()
1335906993.995389
>>> int(time.time())
1335906993
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Return JSON response from Flask view
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As of Flask 1.1.0, you can now directly return a python dict, and it will be automatically jsonify'd by Flask.
– Adrien Ball
Apr 14 at 14:48
add a co...
Regular expression to match any character being repeated more than 10 times
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In Python you can use (.)\1{9,}
(.) makes group from one char (any char)
\1{9,} matches nine or more characters from 1st group
example:
txt = """1. aaaaaaaaaaaaaaa
2. bb
3. cccccccccccccccccccc
4. dd
5. eeeeeeeeeeee"""
rx =...
Seeking clarification on apparent contradictions regarding weakly typed languages
...:
void f(void* x);
f(42);
f("hello");
In contrast to languages such as Python, C#, Java or whatnot, the above is weakly typed because we lose type information. Eric correctly pointed out that in C# we can circumvent the compiler by casting, effectively telling it “I know more about the type of...
Git diff output to file preserve coloring
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The ansi2html python library did it for me github.com/ralphbean/ansi2html. pip installable and works exactly as the bash script in this answer. Don't forget to replace "./ansi2html.sh" with "ansi2html".
– Nagasaki45
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Simple way to create matrix of random numbers
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Looks like you are doing a Python implementation of the Coursera Machine Learning Neural Network exercise. Here's what I did for randInitializeWeights(L_in, L_out)
#get a random array of floats between 0 and 1 as Pavel mentioned
W = numpy.random.rand...
setting y-axis limit in matplotlib
...)). I am using the version that comes with latest version of the Enthought Python Distribution. Can you please see if it works with the PDF backend. Thanks!
– Curious2learn
Sep 23 '10 at 12:25
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Any decent text diff/merge engine for .NET? [closed]
...e "COM" bit of your answer. Nice find as this implementation (at least the python/js versions) are used in some widely-used projects such as Google Docs.
– Brian Low
Oct 5 '10 at 16:21
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