大约有 30,000 项符合查询结果（耗时：0.0466秒） [XML]
entity object cannot be referenced by multiple instances of IEntityChangeTracker. while adding relat
...tion, since static objects are shared between all threads and users. This means that multiple simultaneous users of your website will be stomping on your data context, potentially corrupting it, saving changes you didn't intend, or even just creating random crashes. DbContexts should NEVER be shar...
Tab Vs Space preferences in Vim
...except that if you change tabstop it will get out of sync, while zero just means "ignore this please").
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How can I do SELECT UNIQUE with LINQ?
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@NetMage - clarify what you mean be "the entire object/record". Every field? In what order? Including the primary key?
– James Curran
Dec 22 '16 at 7:09
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What is a “Bitmap heap scan” in a query plan?
...rent from an index scan, where the index is visited row by row in order -- meaning a disk page may get visited multiple times.
Re: the question in your comment... Yep, that's exactly it.
An index scan will go through rows one by one, opening disk pages again and again, as many times as necessary...
Export specific rows from a PostgreSQL table as INSERT SQL script
...e and routes the data
between the server and the local file system. This means that file
accessibility and privileges are those of the local user, not the
server, and no SQL superuser privileges are required.
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What is the 
 character?
What's the meaning of this char?
6 Answers
6
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Looping over a list in Python
...ues[:] slices out all the elements of values, right? I'm assuming that you meant the temporary list created from the slicing. Just want to make sure.
– batbrat
Feb 4 '12 at 3:30
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What does asterisk * mean in Python? [duplicate]
Does * have a special meaning in Python as it does in C? I saw a function like this in the Python Cookbook:
5 Answers
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In Vim, how do I delete everything within the double quotes?
...interested in deleting the quotes too, then apply the following command (a means "and around it")
da"
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figure of imshow() is too small
...s requested by @baxxx, here is an update because random.rand is deprecated meanwhile.
This works with matplotlip 3.2.1:
from matplotlib import pyplot as plt
import random
import numpy as np
random = np.random.random ([8,90])
plt.figure(figsize = (20,2))
plt.imshow(random, interpolation='nearest'...