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【持续更新】App Inventor 2 中文拓展一览 - App Inventor 2 中文网 - 清泛...
【持续更新】App Inventor 2 中文拓展一览ai2_extensions本文档描述您在使用App Inventor 2构建应用程序时所能用到的拓展，以打造界面更加酷炫、功能更加强大的App。更多拓展请移步至《原版最全拓展一览》。【实用小技巧】从 aia项目...
Go > operators
...sibly over) simplified definition is just that << is used for "times 2" and >> is for "divided by 2" - and the number after it is how many times.
So n << x is "n times 2, x times". And y >> z is "y divided by 2, z times".
For example, 1 << 5 is "1 times 2, 5 times" or...
What's the difference between a proc and a lambda in Ruby?
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262
One difference is in the way they handle arguments. Creating a proc using proc {} and Proc.new...
Secondary axis with twinx(): how to add to legend?
...
You can easily add a second legend by adding the line:
ax2.legend(loc=0)
You'll get this:
But if you want all labels on one legend then you should do something like this:
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import rc
rc('mathtext', default='regu...
How to pass command line arguments to a rake task
... Rake::Task["thing:work"].invoke(*args)
end
end
Then
rake thing:work[1,2,3]
=> work: {:option=>"1", :foo=>"2", :bar=>"3"}
rake thing:another[1,2,3]
=> another {:option=>"1", :foo=>"2", :bar=>"3"}
=> work: {:option=>"1", :foo=>"2", :bar=>"3"}
NOTE: variable ...
How do you split a list into evenly sized chunks?
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3306
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Run an OLS regression with Pandas Data Frame
...ge which was one of pandas' optional dependencies before pandas' version 0.20.0 (it was used for a few things in pandas.stats.)
>>> import pandas as pd
>>> import statsmodels.formula.api as sm
>>> df = pd.DataFrame({"A": [10,20,30,40,50], "B": [20, 30, 10, 40, 50], "C": [...
Logical operators for boolean indexing in Pandas
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219
When you say
(a['x']==1) and (a['y']==10)
You are implicitly asking Python to convert (a['x...
What is the difference between tinyint, smallint, mediumint, bigint and int in MySQL?
...ation:
MySQL
Postgres
Oracle (they just have a NUMBER datatype really)
DB2
Turns out they all use the same specification (with a few minor exceptions noted below) but support various combinations of those types (Oracle not included because it has just a NUMBER datatype, see the above link):
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Convert floats to ints in Pandas?
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229
To modify the float output do this:
df= pd.DataFrame(range(5), columns=['a'])
df.a = df.a.ast...