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What's the difference between process.cwd() vs __dirname?
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Does this mean that process.cwd() is synonym to . for all cases except for require()?
– Alexander Gonchiy
Aug 29 '15 at 9:44
11
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Make the current commit the only (initial) commit in a Git repository?
...e using submodules, you should use e.g. interactive rebase
Step 1: remove all history (Make sure you have backup, this cannot be reverted)
cat .git/config # note <github-uri>
rm -rf .git
Step 2: reconstruct the Git repo with only the current content
git init
git add .
git commit -m "Init...
Reverse / invert a dictionary mapping
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982
For Python 2.7.x
inv_map = {v: k for k, v in my_map.iteritems()}
For Python 3+:
inv_map = ...
Change Bootstrap input focus blue glow
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You can use the .form-control selector to match all inputs. For example to change to red:
.form-control:focus {
border-color: #FF0000;
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(255, 0, 0, 0.6);
}
Put it in your custom css file and load it after ...
Convert UTC date time to local date time
...ght local time which in my case would be two hours later (DK time).
You really don't have to do all this parsing which just complicates stuff, as long as you are consistent with what format to expect from the server.
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Hide the cursor of an UITextField
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98
You can just clear the textfield's tintColor
self.textField.tintColor = [UIColor clearColor];
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Rails: Is there a rails trick to adding commas to large numbers?
...thod you are looking for is number_with_delimiter.
number_with_delimiter(98765432.98, :delimiter => ",", :separator => ".")
# => 98,765,432.98
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Getting visitors country from their IP
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why im getting unknow all the time with every ip ? , used same code.
– echo_Me
Feb 18 '14 at 18:12
1
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What is “thread local storage” in Python, and why do I need it?
In Python specifically, how do variables get shared between threads?
5 Answers
5
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How to use a decimal range() step value?
...y([ 0. , 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])
If you really want to use a floating-point step value, you can, with numpy.arange.
>>> import numpy as np
>>> np.arange(0.0, 1.0, 0.1)
array([ 0. , 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])
Floating-p...