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What does .SD stand for in data.table in R
...ttps://sashat.me/2017/01/11/list-of-20-simple-distinct-colors/
col16 = c('#e6194b', '#3cb44b', '#ffe119', '#0082c8', '#f58231', '#911eb4',
'#46f0f0', '#f032e6', '#d2f53c', '#fabebe', '#008080', '#e6beff',
'#aa6e28', '#fffac8', '#800000', '#aaffc3')
par(oma = c(2, 0, 0, 0))
sappl...
Convert a timedelta to days, hours and minutes
...t to take into account fractions of a second
seconds += td.microseconds / 1e6
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How are parameters sent in an HTTP POST request?
...Referer: http://127.0.0.1/pass.php
Cookie: passx=87e8af376bc9d9bfec2c7c0193e6af70; PHPSESSID=l9hk7mfh0ppqecg8gialak6gt5
Connection: keep-alive
Content-Type: application/x-www-form-urlencoded
Content-Length: 30
username=zurfyx&pass=password
Where it says
Content-Length: 30
username=zurfyx...
How can I specify the base for Math.log() in JavaScript?
...ion with selective rounding: (Math.round(Math.log(1000) / Math.LN10 * 1e6) / 1e6)
– Shane Daniel
Nov 21 '13 at 5:01
...
Detect if value is number in MySQL
... values ('00.00'),('+1'),('.123'),('-.23e4'),('12.e-5'),('3.5e+6'),('a'),('e6'),('+e0');
select
col1,
col1 + 0 as casted,
col1 REGEXP '^[+-]?[0-9]*([0-9]\\.|[0-9]|\\.[0-9])[0-9]*(e[+-]?[0-9]+)?$' as isNumeric
from myTable;
Result:
col1 | casted | isNumeric
-------|---------|----------
...
Is !important bad for performance?
...
269
It shouldn't have any effect upon the performance really. Seeing firefox's CSS parser at /sour...
PHP best way to MD5 multi-dimensional array?
...bottom of post):
serialize()
1c4f1064ab79e4722f41ab5a8141b210
1ad0f2c7e690c8e3cd5c34f7c9b8573a
json_encode()
db7178ba34f9271bfca3a05c5dddf502
c9661c0852c2bd0e26ef7951b4ca9e6f
Sorted serialize()
1c4f1064ab79e4722f41ab5a8141b210
1c4f1064ab79e4722f41ab5a8141b210
Sorted json_encode()...
How to change variables value while debugging with LLDB in Xcode?
...
269
expr myString = @"Foo"
(lldb) help expr
Evaluate a C/ObjC/C++ expression in the current...
Set transparent background of an imageview on Android
...ctor.
Some opacity code:
Hex Opacity Values
100% — FF
95% — F2
90% — E6
85% — D9
80% — CC
75% — BF
70% — B3
65% — A6
60% — 99
55% — 8C
50% — 80
45% — 73
40% — 66
35% — 59
30% — 4D
25% — 40
20% — 33
15% — 26
10% — 1A
5% — 0D
0% — 00
You can also set opacit...
Remove columns from dataframe where ALL values are NA
...tion(x)!all(is.na(x))))),with=F]
examples using large data (30 columns, 1e6 rows)
big_data <- replicate(10, data.frame(rep(NA, 1e6), sample(c(1:8,NA),1e6,T), sample(250,1e6,T)),simplify=F)
bd <- do.call(data.frame,big_data)
names(bd) <- paste0('X',seq_len(30))
DT <- as.data.table(bd)
...