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How does Apple know you are using private API?
I submitted a binary file to Apple without any source code.
10 Answers
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Is R's apply family more than syntactic sugar?
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The apply functions in R don't provide improved performance over other looping functions (e.g. for). One exception to this is lapply which can be a little faster because it does more work in C code than in R (see this question fo...
Git Bash is extremely slow on Windows 7 x64
I've been using Git on both Windows and Ubuntu during the development of a small project, frequently flipping back and forth between the two. The issue is that Git Bash consistently becomes slow.
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Calling a static method on a generic type parameter
I was hoping to do something like this, but it appears to be illegal in C#:
8 Answers
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How can I create directories recursively? [duplicate]
Is there a Python method to create directories recursively? I have this path:
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Bash: Copy named files recursively, preserving folder structure
...eUploader: {
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Dynamically select data frame columns using $ and a character value
I have a vector of different column names and I want to be able to loop over each of them to extract that column from a data.frame. For example, consider the data set mtcars and some variable names stored in a character vector cols . When I try to select a variable from mtcars using a dynamic s...
Convert dmesg timestamp to custom date format
...stamp conversion logic & how to enable timestamps when there are none:
https://supportcenter.checkpoint.com/supportcenter/portal?eventSubmit_doGoviewsolutiondetails=&solutionid=sk92677
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Binary Data in MySQL [closed]
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The answer by phpguy is correct but I think there is a lot of confusion in the additional details there.
The basic answer is in a BLOB data type / attribute domain. BLOB is short for Binary Large Object and that column data type is speci...
adding noise to a signal in python
...f the data; this filtering
# technique might work
#for us(https://en.wikipedia.org/wiki/68%E2%80%9395%E2%80%9399.7_rule)
indexes_furhter_away = np.where(np.abs(data_df['with_jitter']) > (mu +
2*sd))[0]
logger.info(f"Number of points further away :
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