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ERROR 1045 (28000): Access denied for user 'root'@'localhost' (using password: YES)
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Mike BrantMike Brant
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Using regular expressions to parse HTML: why not?
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Hank GayHank Gay
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Fast check for NaN in NumPy
...4.45 ms per loop
%timeit np.isnan(array.min()) # 1000 loops, best of 3: 1.64 ms per loop
But in case there is a NaN in the array, especially if it's position is at low indices, then it's much faster:
array = np.random.random(2000000)
array[100] = np.nan
%timeit anynan(array) # 1000000 ...
Where is the itoa function in Linux?
...nguage ("K&R2") contains the following implementation of itoa, on page 64. The book notes several issues with this implementation, including the fact that it does not correctly handle the most negative number
/* itoa: convert n to characters in s */
void itoa(int n, char s[])
{
int i...
How do I convert a float number to a whole number in JavaScript?
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bradbrad
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Can I escape a double quote in a verbatim string literal?
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BrandonBrandon
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How can I add the new “Floating Action Button” between two widgets/layouts
... from shamanland implementation, use whatever FAB you wish. Assume FAB is 64dp high including shadow:
<?xml version="1.0" encoding="utf-8"?>
<RelativeLayout
xmlns:android="http://schemas.android.com/apk/res/android"
android:layout_width="match_parent"
android:layout_height="ma...
Correct approach to global logging in Golang
...meet you")
klog.Error(nil, "uh oh", "trouble", true, "reasons", []float64{0.1, 0.11, 3.14})
klog.Error(myError{"an error occurred"}, "goodbye", "code", -1)
klog.Flush()
}
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improv...
What's the Android ADB shell “dumpsys” tool and what are its benefits?
...ing CPU info
~$ adb shell dumpsys cpuinfo
Output:
Load: 0.08 / 0.4 / 0.64
CPU usage from 42816ms to 34683ms ago:
system_server: 1% = 1% user + 0% kernel / faults: 16 minor
kdebuglog.sh: 0% = 0% user + 0% kernel / faults: 160 minor
tiwlan_wq: 0% = 0% user + 0% kernel
usb_mass_storag: 0% = 0% user...
How to store a dataframe using Pandas
... data needs to be transformed after loading (i.e. string/object to datetime64) this would need to be done again after loading a saved csv, resulting in performance loss. pickle saves the dataframe in it's current state thus the data and its format is preserved. This can lead to massive performance i...