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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...
Querying DynamoDB by date
...doing a scan, which will be costly in reads and in time (and is limited to 100 items I believe).
This may not be the best way of doing it but for someone used to RD (I'm also used to SQL) it's the fastest way to get productive. Since there is no constraints in regards to schema, you can whip up som...
Is it safe to shallow clone with --depth 1, create commits, and pull updates again?
...ds in the comments:
To backfill part of the history: git fetch --depth=100.
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