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Java Reflection Performance
... long start = System.currentTimeMillis();
for (int i=0; i<1000000; i++)
{
A a = new A();
a.doSomeThing();
}
System.out.println(System.currentTimeMillis() - start);
}
public static void doReflection() throws Exception
{
...
How to import existing Git repository into another?
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+100
git-subtree is a script designed for exactly this use case of merging multiple repositories into one while preserving history (and/o...
What is AF_INET, and why do I need it?
... in Internet domain notation like 'daring.cwi.nl' or an IPv4 address like '100.50.200.5', and port is an integer. Used to communicate between processes over the Internet.
AF_UNIX , AF_INET6 , AF_NETLINK , AF_TIPC , AF_CAN , AF_BLUETOOTH , AF_PACKET , AF_RDS are other option which could be used ins...
How do I temporarily disable triggers in PostgreSQL?
... Neil McGuiganNeil McGuigan
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How does this checkbox recaptcha work and how can I use it?
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+100
This is a beta API for reCAPTCHA. I gather this from the source of their JS API: https://www.google.com/recaptcha/api.js referencing...
Rebasing remote branches in Git
...ople will get problems and have to rebase their code. Now imagine you have 1000 developers :) It just causes a lot of unnecessary rework.
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Python multiprocessing PicklingError: Can't pickle
... return x+1
...
>>> f = Foo()
>>> p.apipe(f.work, f, 100)
<processing.pool.ApplyResult object at 0x10504f8d0>
>>> res = _
>>> res.get()
101
Get pathos (and if you like, dill) here:
https://github.com/uqfoundation
...
Convert Linq Query Result to Dictionary
...whole objects. To keep it simple, I got a table in my BD with 20 columns, 100 000 rows and I'd want to extract a Dictionary using the values of the first 2 columns.
– Tipx
Jun 5 '09 at 2:04
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Linq to SQL how to do “where [column] in (list of values)”
... in the list would have a significant impact.
I set up a test where I did 100 trials each of Concat and Contains where each trial involved selecting 25 rows specified by a randomized list of primary keys. I've run this about a dozen times, and most times the Concat method comes out 5 - 10% faster, ...
best way to preserve numpy arrays on disk
... = [ 'pickle', 'h5py', 'pickle+gzip', 'pickle+lzma', 'pickle+bz2' ]
size = 1000
data = {}
# Random data
data['random'] = np.random.random((size, size))
# Not that random data
data['semi-random'] = np.zeros((size, size))
for i in range(size):
for j in range(size):
data['semi-random'][i...