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How can I find the length of a number?
...34567;
x.toString().length;
This process will also work forFloat Number and for Exponential number also.
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How to use ng-repeat for dictionaries in AngularJs?
...wered Aug 16 '12 at 11:37
Artem AndreevArtem Andreev
19.7k55 gold badges4141 silver badges4141 bronze badges
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Combining node.js and Python
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For communication between node.js and Python server, I would use Unix sockets if both processes run on the same server and TCP/IP sockets otherwise. For marshaling protocol I would take JSON or protocol buffer. If threaded Python shows up to be a bottleneck, ...
How do I use reflection to call a generic method?
...rs public instance methods by default, so you may need BindingFlags.Static and/or BindingFlags.NonPublic.
– user565869
Dec 16 '11 at 22:32
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What is the difference between :focus and :active?
What is the difference between the :focus and :active pseudo-classes?
7 Answers
7
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Splitting string into multiple rows in Oracle
I know this has been answered to some degree with PHP and MYSQL, but I was wondering if someone could teach me the simplest approach to splitting a string (comma delimited) into multiple rows in Oracle 10g (preferably) and 11g.
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Saving an Object (Data persistence)
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You could use the pickle module in the standard library.
Here's an elementary application of it to your example:
import pickle
class Company(object):
def __init__(self, name, value):
self.name = name
self.value = value
with open('company_data....
How to force table cell content to wrap?
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Use table-layout:fixed in the table and word-wrap:break-word in the td.
See this example:
<html>
<head>
<style>
table {border-collapse:collapse; table-layout:fixed; width:310px;}
table td {border:solid 1px #fab; width:100px; word-wr...
How can I check if character in a string is a letter? (Python)
I know about islower and isupper , but can you check whether or not that character is a letter?
For Example:
6 Answers
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Extracting just Month and Year separately from Pandas Datetime column
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If you want new columns showing year and month separately you can do this:
df['year'] = pd.DatetimeIndex(df['ArrivalDate']).year
df['month'] = pd.DatetimeIndex(df['ArrivalDate']).month
or...
df['year'] = df['ArrivalDate'].dt.year
df['month'] = df['ArrivalDat...
