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Delete all old emails after a certain date i have too many emails 30 for return in date format the above code will work in sql server 2010 it will return like 12/12/2013 for sql server 2012 use the below code How do i delete all those older than a certain date

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I haven't tried anything because i can't keep selecting and deleting 10,000 old emails. The z is pronounced “zulu” [dt.to_datetime().date() for dt in df.dates] but this is really slow since i have many rows and it sort of defeats the purpose of using pandas.to_datetime

Is there a way to convert the dtype of the entire column at once

Or alternatively, does pandas.to_datetime support a precision specification so that i can get rid of the time part while working with daily data? How do i convert a datetime.datetime object (e.g., the return value of datetime.datetime.now()) to a datetime.date object in python? Date if you want to cast into date, then you can first cast to datetime64[ns] and then use dt.date to get a column of datetime.date objects: In a windows (windows xp) batch script i need to format the current date and time for later use in files names, etc

It is similar to stack overflow question how to append a date in batch fil. You don't actualy need to add new date() if you want the current timedate, i only added it as a reference that you can pass a date object to it For the current timedate this also works: The code below gives me the current time

But it does not tell anything about milliseconds

Public static string getcurrenttimestamp() { simpledateformat sdfdate = new simpledateformat("yy.