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Using arrays or std::vectors in C++, what's the performance gap?
...r micro-optimizer people
Remember:
"Programmers waste enormous amounts of time thinking about, or worrying about, the speed of noncritical parts of their programs, and these attempts at efficiency actually have a strong negative impact when debugging and maintenance are considered. We should forget...
Way to read first few lines for pandas dataframe
...first n lines of a file without knowing the length of the lines ahead of time? I have a large file that takes a long time to read, and occasionally only want to use the first, say, 20 lines to get a sample of it (and prefer not to load the full thing and take the head of it).
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Rolling or sliding window iterator?
...win
In my tests it handily beats everything else posted here most of the time, though pillmuncher's tee version beats it for large iterables and small windows. On larger windows, the deque pulls ahead again in raw speed.
Access to individual items in the deque may be faster or slower than with li...
Why is string concatenation faster than array join?
...vily optimized C++ code. It's too long to quote here, but search in the runtime.cc file for RUNTIME_FUNCTION(MaybeObject*, Runtime_StringBuilderConcat) to see the code.
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Ruby, remove last N characters from a string?
...tly accept a regex so if you don't know the suffix it's not viable for the time being. However, as the accepted answer (update: at the time of writing) dictates the same, I thought this might be useful to some people.
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adding noise to a signal in python
...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('Signal Power')
plt.ylabel('Power (W)')
plt.xlabel('Time (s)')
plt.show()
x_db = 10 * np.log10(x_watts)
plt.subplot(3,1,3)
plt.p...
Application auto build versioning
Is it possible to increment a minor version number automatically each time a Go app is compiled?
6 Answers
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Removing duplicates in lists
... per loop (set) vs 1.53 µs per loop (dict) over 1M loops with an absolute time difference of about 4s over 1M iterations. So if you're doing this in a tight inner loop you may care, otherwise probably not.
– millerdev
Dec 9 '19 at 13:30
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Find out time it took for a python script to complete execution
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from datetime import datetime
startTime = datetime.now()
#do something
#Python 2:
print datetime.now() - startTime
#Python 3:
print(datetime.now() - startTime)
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const vs constexpr on variables
... constant, meaning you can not modify them. However only PI2 is a compile-time constant. It shall be initialized at compile time. PI1 may be initialized at compile time or run time. Furthermore, only PI2 can be used in a context that requires a compile-time constant. For example:
constexpr dou...