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Node.js + Nginx - What now?
...ng like:
# the IP(s) on which your node server is running. I chose port 3000.
upstream app_yourdomain {
server 127.0.0.1:3000;
keepalive 8;
}
# the nginx server instance
server {
listen 80;
listen [::]:80;
server_name yourdomain.com www.yourdomain.com;
access_log /var/log/...
Getting current date and time in JavaScript
...
600
.getMonth() returns a zero-based number so to get the correct month you need to add 1, so calli...
How to make button look like a link?
...
button {
background: none!important;
border: none;
padding: 0!important;
/*optional*/
font-family: arial, sans-serif;
/*input has OS specific font-family*/
color: #069;
text-decoration: underline;
cursor: pointer;
}
<button> your button that looks like a link...
Can you use CSS to mirror/flip text?
...|
edited Jun 4 '19 at 17:30
Hernán Eche
5,0951111 gold badges4141 silver badges7070 bronze badges
answe...
What are Vertex Array Objects?
...
102
"Vertex Array Object" is brought to you by the OpenGL ARB Subcommittee for Silly Names.
Think ...
How to create a sequence of integers in C#?
...
206
You can use Enumerable.Range(0, 10);. Example:
var seq = Enumerable.Range(0, 10);
MSDN page ...
Does Python support short-circuiting?
...
answered Apr 5 '10 at 18:20
Alex MartelliAlex Martelli
724k148148 gold badges11251125 silver badges13241324 bronze badges
...
How to read a .xlsx file using the pandas Library in iPython?
... for sheet_name in xl_file.sheet_names}
Update: In pandas version 0.21.0+ you will get this behavior more cleanly by passing sheet_name=None to read_excel:
dfs = pd.read_excel(file_name, sheet_name=None)
In 0.20 and prior, this was sheetname rather than sheet_name (this is now deprecat...
Numpy: Divide each row by a vector element
...combined with broadcasting:
In [6]: data - vector[:,None]
Out[6]:
array([[0, 0, 0],
[0, 0, 0],
[0, 0, 0]])
In [7]: data / vector[:,None]
Out[7]:
array([[1, 1, 1],
[1, 1, 1],
[1, 1, 1]])
share
...
Converting a column within pandas dataframe from int to string
...
In [16]: df = DataFrame(np.arange(10).reshape(5,2),columns=list('AB'))
In [17]: df
Out[17]:
A B
0 0 1
1 2 3
2 4 5
3 6 7
4 8 9
In [18]: df.dtypes
Out[18]:
A int64
B int64
dtype: object
Convert a series
In [19]: df['A'].apply(str)
Ou...
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