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The time-related modules in python are mainly time and datetime
If you want to get the current timestamp of the system: time.time(), it is a float type data
Get the current time information of the system : time.ctime() is a str type time string, which is generally less used in development
If you want to get the current ordinary date string, you can simply use str(datetime.date.today())
There is also the mutual conversion between time and timestamp (very commonly used):
Conversion from date to timestamp:
import datetime import time t = datetime.datetime(2014,12, 6, 12, 10, 10) timestamp = time.mktime(t.timetuple()) print timestamp
Conversion of timestamp to time and date:
import datetime import time t = time.localtime(timestamp) timeStr = time.strftime('%Y-%m-%d %H:%M:%S', t) print timeStr
One of the more common scenarios is:
Push forward a few days or days based on a certain day Time in the next few days
For example, I need to know the data for 10 days since 2014-10-25
In this case, we need to perform time calculations. If it is based on the essence, it is the conversion between timestamp and time. That's it
We can get the timestamp of 2014-10-25 by converting time to timestamp, and then perform operations on the timestamp, and then
convert the result of the operation into a time string. The complete code is as follows:
import time import datetime t = datetime.datetime(2014, 10, 25) timestamp = time.mktime(t.timetuple()) timestamp += 10 * 3600 * 24 t = time.localtime(timestamp) timeStr = time.strftime('%Y-%m-%d %H:%M:%S', t)
In fact, the date module has functions that encapsulate this algorithm. The trial is not such a large code, but we only talk about the principle. The above python time process
In fact, for any language It should all be such a process
Shui Sentence: Language tools are constantly changing, you cannot stick to one language, only algorithms and thinking will not become outdated
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