大约有 40,000 项符合查询结果（耗时：0.0465秒） [XML]
Rails :dependent => :destroy VS :dependent => :delete_all
...rectly in your application and deletes by SQL :
DELETE * FROM users where compagny_id = XXXX
With the :destroy, there is an instantiation of all of your children. So, if you can't destroy it or if each has their own :dependent, its callbacks can be called.
...
How to get an array of specific “key” in multidimensional array without looping
...
|
show 2 more comments
13
...
R programming: How do I get Euler's number?
...
add a comment
|
26
...
How to secure RESTful web services?
.... Clients generate certs and give them to you over a secure channel (like coming into your office with a USB key - preferably a non-trojaned USB key).
You load the public key of the cert client certificates (and their signer's certificate(s), if necessary) into your web server, and the web server ...
When to use f:viewAction / preRenderView versus PostConstruct?
...
edited Jun 20 at 9:12
Community♦
111 silver badge
answered Mar 23 '12 at 18:27
BalusCBalusC
...
Should I be concerned about excess, non-running, Docker containers?
Every docker run command, or every RUN command inside a Dockerfile, creates a container. If the container is no longer running it can still be seen with docker ps -a .
...
Running multiple commands in one line in shell
...
You are using | (pipe) to direct the output of a command into another command. What you are looking for is && operator to execute the next command only if the previous one succeeded:
cp /templates/apple /templates/used && cp /templates/apple /templates/inus...
How to get anchor text/href on click using jQuery?
...
@rahul: it is becoming funny again, he could give his links any unique name.
– Sarfraz
Apr 16 '10 at 11:15
...
What is the most efficient way to create a dictionary of two pandas Dataframe columns?
...sition).to_dict()
Out[9]: {1: 'a', 2: 'b', 3: 'c', 4: 'd', 5: 'e'}
Speed comparion (using Wouter's method)
In [6]: df = pd.DataFrame(randint(0,10,10000).reshape(5000,2),columns=list('AB'))
In [7]: %timeit dict(zip(df.A,df.B))
1000 loops, best of 3: 1.27 ms per loop
In [8]: %timeit pd.Series(df....