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In JavaScript, why is “0” equal to false, but when tested by 'if' it is not false by itself?
...e special [[Get]] internal method defined below.
b. Return the result of calling the get internal method using base as its this value, and passing
GetReferencedName(V) for the argument
Or in other words, a string has a primitive base, which calls back the internal get method and ends up looking ...
iphone Core Data Unresolved error while saving
...conflict with the old model implementation.
Edit:
I almost forgot here's all the error codes that Core Data spits out:
Core Data Constants Reference
I had trouble with this before and I realised I unchecked the correct optional box. Such trouble finding out the problem. Good luck.
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Are PHP functions case sensitive?
I was digging through some code, and I found some calls to mySQL_fetch_array . Is PHP case sensitive about function names? I recall reading this somewhere but can't seem to find any reference to it.
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What is memoization and how can I use it in Python?
...orials using memoization in Python would be something like this:
factorial_memo = {}
def factorial(k):
if k < 2: return 1
if k not in factorial_memo:
factorial_memo[k] = k * factorial(k-1)
return factorial_memo[k]
You can get more complicated and encapsulate the memoization...
What is the best way to find the users home directory in Java?
... variants. I am looking for a snippet of code that can accomplish this for all platforms, and a way to detect the platform.
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Adjust UILabel height to text
...ne about some println's or just a line with only comments (then it says EXC_BAD_ACCESS code=2 as well)
– TheBurgerShot
Aug 8 '14 at 11:52
6
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AngularJS - wait for multiple resource queries to complete
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Styling HTML email for Gmail
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Note that services and tools for sending emails may be able to inline your CSS for you, allowing CSS in <style> tags to work in Gmail.
For instance, if you're sending emails with MailChimp, your CSS from <style> tags will ...
adding noise to a signal in python
...umpy as np
import matplotlib.pyplot as plt
t = np.linspace(1, 100, 1000)
x_volts = 10*np.sin(t/(2*np.pi))
plt.subplot(3,1,1)
plt.plot(t, x_volts)
plt.title('Signal')
plt.ylabel('Voltage (V)')
plt.xlabel('Time (s)')
plt.show()
x_watts = x_volts ** 2
plt.subplot(3,1,2)
plt.plot(t, x_watts)
plt.title...
How can the Euclidean distance be calculated with NumPy?
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There's a function for that in SciPy. It's called Euclidean.
Example:
from scipy.spatial import distance
a = (1, 2, 3)
b = (4, 5, 6)
dst = distance.euclidean(a, b)
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