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Less aggressive compilation with CSS3 calc
The Less compilers that I'm using ( OrangeBits and dotless 1.3.0.5 ) are aggressively translating
4 Answers
...
How to print to console in pytest?
... that particular test.
For example,
def test_good():
for i in range(1000):
print(i)
def test_bad():
print('this should fail!')
assert False
Results in the following output:
>>> py.test tmp.py
============================= test session starts =======================...
CSS hexadecimal RGBA?
...and 8-digit hexadecimal RGBA notation!
Three weeks ago (18th of December 2014) the CSS Color Module Level 4 editor's draft was submitted to the CSS W3C Working Group. Though in a state which is heavily susceptible to change, the current version of the document implies that in the somewhat near fut...
In Python, what is the difference between “.append()” and “+= []”?
...ase the only difference is performance: append is twice as fast.
Python 3.0 (r30:67507, Dec 3 2008, 20:14:27) [MSC v.1500 32 bit (Intel)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import timeit
>>> timeit.Timer('s.append("something")', 's...
.NET JIT potential error?
...o, and running the release outside Visual Studio. I'm using Visual Studio 2008 and targeting .NET 3.5. I've also tried .NET 3.5 SP1.
...
What Are the Differences Between PSR-0 and PSR-4?
.... However, I can't seem to grasp what the actual difference is between PSR-0 and PSR-4.
5 Answers
...
python numpy ValueError: operands could not be broadcast together with shapes
...
user2357112 supports Monica
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answered Jul 3 '14 at 22:08
DrVDrV
...
mongo - couldn't connect to server 127.0.0.1:27017
...hing to note is the log trace provided does not cover the "Fri Nov 9 16:44:06" of your mongo timestamp.
Can you:
Provide the command line arguments (if any) used to start your
mongod process
Provide the log file activity from the mongod startup as well as
logs during the mongo shell startup atte...
How do I create test and train samples from one dataframe with pandas?
...ering how I would be able to split the dataframe into two random samples (80% and 20%) for training and testing.
23 Answers...