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how to customize `show processlist` in mysql?
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You don't need to call grep four times in a row; just use sed like so: sed '/^\+\-\-/d; /^| Id/d; /^[0-9][0-9]* rows in set '/d; /^ /d; This makes one call to one program (not four), and it's quicker, cleaner, simpler, and it runs faster too.
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Why “decimal” is not a valid attribute parameter type?
It is really unbelievable but real. This code will not work:
3 Answers
3
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How to replace a whole line with sed?
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Michael J. Barber, g replace all the instance of regexp with replacement
– A-IV
Mar 28 '17 at 19:06
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What is the difference between 'content' and 'text'
...ose that there would be a difference for a non-text response. But where is all this documented? Note that the linked document does state:
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Check whether a string is not null and not empty
...ils
I like to use Apache commons-lang for these kinds of things, and especially the StringUtils utility class:
import org.apache.commons.lang.StringUtils;
if (StringUtils.isNotBlank(str)) {
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}
if (StringUtils.isBlank(str)) {
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}
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why is plotting with Matplotlib so slow?
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First off, (though this won't change the performance at all) consider cleaning up your code, similar to this:
import matplotlib.pyplot as plt
import numpy as np
import time
x = np.arange(0, 2*np.pi, 0.01)
y = np.sin(x)
fig, axes = plt.subplots(nrows=6)
styles = ['r-', 'g-', 'y-...
Rails 3 datatypes?
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Here are all the Rails3 (ActiveRecord migration) datatypes:
:binary
:boolean
:date
:datetime
:decimal
:float
:integer
:primary_key
:references
:string
:text
:time
:timestamp
Source
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Sequelize Unknown column '*.createdAt' in 'field list'
...r.find it will just do SELECT user.*, which only takes the columns you actually have. But when you join, each column of the joined table will be aliased, which creates the following query:
SELECT `users`.*, `userDetails`.`userId` AS `userDetails.userId`,`userDetails`.`firstName` AS `userDetails.fir...
Python Pandas Error tokenizing data
... noted
To solve it, try specifying the sep and/or header arguments when calling read_csv. For instance,
df = pandas.read_csv(fileName, sep='delimiter', header=None)
In the code above, sep defines your delimiter and header=None tells pandas that your source data has no row for headers / column ...
in Ipython notebook / Jupyter, Pandas is not displaying the graph I try to plot
...ndas in Ipython Notebook, and while it gives me the object, it doesn't actually plot the graph itself. So it looks like this:
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