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How to duplicate sys.stdout to a log file?
...t is the best way to accomplish logging when a python app is making a lot of system calls?
17 Answers
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moving committed (but not pushed) changes to a new branch after pull
I've done a fair bit of work ("Your branch is ahead of 'origin/master' by 37 commits.") which really should have gone into its own branch rather than into master . These commits only exist on my local machine and have not been pushed to origin , but the situation is complicated somewhat in that o...
What are the differences between local branch, local tracking branch, remote branch and remote track
I just started using Git and I got really confused between different branches. Can anyone help me to figure out what the following branch types are?
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how to unit test file upload in django
In my django app, I have a view which accomplishes file upload.The core snippet is like this
10 Answers
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Convert a python UTC datetime to a local datetime using only python standard library?
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In Python 3.3+:
from datetime import datetime, timezone
def utc_to_local(utc_dt):
return utc_dt.replace(tzinfo=timezone.utc).astimezone(tz=None)
In Python 2/3:
import calendar
from datetime import datetime, timedelta
def utc_to_loca...
Deciding between HttpClient and WebClient
Our web app is running in .Net Framework 4.0. The UI calls controller methods through ajax calls.
7 Answers
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Return all enumerables with yield return at once; without looping through
I have the following function to get validation errors for a card. My question relates to dealing with GetErrors. Both methods have the same return type IEnumerable<ErrorInfo> .
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Resolve promises one after another (i.e. in sequence)?
Consider the following code that reads an array of files in a serial/sequential manner. readFiles returns a promise, which is resolved only once all files have been read in sequence.
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App store link for “rate/review this app”
I want to put a "rate/review this app" feature into my app.
26 Answers
26
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Pandas read_csv low_memory and dtype options
...rly deprecated, but it should be, since it does not actually do anything differently[source]
The reason you get this low_memory warning is because guessing dtypes for each column is very memory demanding. Pandas tries to determine what dtype to set by analyzing the data in each column.
Dtype Guessin...