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How to convert a string or integer to binary in Ruby?
... number to a string representing the number in the base specified:
9.to_s(2) #=> "1001"
while the reverse is obtained with String#to_i(base):
"1001".to_i(2) #=> 9
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How do you do relative time in Rails?
... i.e. if given a certain Time class, it can calculate "30 seconds ago" or "2 days ago" or if it's longer than a month "9/1/2008", etc.
...
Resizing an image in an HTML5 canvas
...g.height;
elem.style.display = "none";
this.ctx = elem.getContext("2d");
this.ctx.drawImage(img, 0, 0);
this.img = img;
this.src = this.ctx.getImageData(0, 0, img.width, img.height);
this.dest = {
width : sx,
height : Math.round(img.height * sx / img.width),
...
Cartesian product of x and y array points into single array of 2D points
...e([numpy.tile(x, len(y)), numpy.repeat(y, len(x))])
array([[1, 4],
[2, 4],
[3, 4],
[1, 5],
[2, 5],
[3, 5]])
See Using numpy to build an array of all combinations of two arrays for a general solution for computing the Cartesian product of N arrays.
...
How does python numpy.where() work?
...
answered Apr 12 '11 at 22:48
Joe KingtonJoe Kington
223k5858 gold badges528528 silver badges435435 bronze badges
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How to Batch Rename Files in a macOS Terminal?
...
234
In your specific case you can use the following bash command (bash is the default shell on mac...
App Inventor 2 TaifunImage 拓展，图像高级处理功能，剪裁，压缩，翻转等 ...
... 教育 入门必读 中文教程 IoT专题 AI2拓展 ChatGPT接入 Aia Store 开通VIP 搜索 App Inventor 2 TaifunImage 拓展，图...
What is the difference between join and merge in Pandas?
...import pandas as pd
left = pd.DataFrame({'key': ['foo', 'bar'], 'val': [1, 2]}).set_index('key')
right = pd.DataFrame({'key': ['foo', 'bar'], 'val': [4, 5]}).set_index('key')
left.join(right, lsuffix='_l', rsuffix='_r')
val_l val_r
key
foo 1 4
bar 2 5
The sam...
LINQ to SQL Left Outer Join
...
logical8
83288 silver badges1212 bronze badges
answered Mar 31 '09 at 8:33
Marc Gravell♦Marc Gravell
...
Omit rows containing specific column of NA
... function and put it into a function thusly:
DF <- data.frame(x = c(1, 2, 3), y = c(0, 10, NA), z=c(NA, 33, 22))
completeFun <- function(data, desiredCols) {
completeVec <- complete.cases(data[, desiredCols])
return(data[completeVec, ])
}
completeFun(DF, "y")
# x y z
# 1 1 0 NA
...