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Why did Julia devs renamed `NA` to `missing`


By : Jon Michelson
Date : July 31 2020, 09:00 PM
To fix this issue The supposition that NA is standard in other languages is actually not true:
R, yes — the only one that uses NA Matlab, no — NaN, NaT, missing, others Python, no — NaN, None SQL, no — NULL
code :


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How to tell TortoiseSVN that a renamed file was renamed (not deleted and re-added)?


By : James Anthony Bretne
Date : March 29 2020, 07:55 AM
it should still fix some issue Using VisualSVN and TortoiseSVN here. , Right Click on the file > TortoiseSVN > Rename.

I renamed a Model. How can I recover my now-missing db objects?


By : user2927477
Date : March 29 2020, 07:55 AM
fixed the issue. Will look into that further You can just rename model's table in the database. Table name is constructed from app label and model's class name, so MySQL query is:
code :
RENAME TABLE bar_mymodel TO far_mymodel;
class MyModel(models.Model):
    ....
    class Meta:
        db_table = 'bar_mymodel'

Why were these common operations on collections renamed in Julia?


By : Benicio Junior
Date : March 29 2020, 07:55 AM
will help you You can read the julia-dev thread here. Basically, it's simply changing to respect the rule described in the arrays documentation:

How to get missing as a mean of all missing vector in julia-0.7?


By : adam patir
Date : March 29 2020, 07:55 AM
wish help you to fix your issue The fastest code I could recommend is using if/else, but I guess you cannot avoid it:
code :
sx = skipmissing(x)
iterate(sx) === nothing ? missing : mean(sx)
julia> mean(collect(skipmissing(x)))
NaN

What are Python-Style List Comprehensions and Generators Considered in Julia by Core Julia Devs?


By : jeddings
Date : March 29 2020, 07:55 AM
it fixes the issue TL;DR: Yes, but faster.
@StefanKarpinski, co-creator of Julia, made the following comment here
code :
julia> P = prod([4n^2/(4n^2 - 1) for n in 1:10_000_000])
1.5707962875230395
import numpy as np
P = np.prod([4*n**2/(4*n**2 - 1) for n in range(1, 10_000_001)])  
P
1.5707962875404267
julia> P = prod(4n^2/(4n^2 - 1) for n in 1:10_000_000)
1.5707962875404267
julia> 2P
3.1415925750808533
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