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Python: Get time values with components using local time and gmtime

Python Operating System Services: Exercise-20 with Solution

Write a Python program to get time values with components using local time and gmtime.

Sample Solution:

Python Code :

import time
def time_struct(s):
   print(' tm_year :', s.tm_year)
   print(' tm_mon :', s.tm_mon)
   print(' tm_mday :', s.tm_mday)
   print(' tm_hour :', s.tm_hour)
   print(' tm_min :', s.tm_min)
   print(' tm_sec :', s.tm_sec)
   print(' tm_wday :', s.tm_wday)
   print(' tm_yday :', s.tm_yday)
   print(' tm_isdst:', s.tm_isdst)
print('\nlocaltime:')
time_struct(time.localtime())
print('\ngmtime:')
time_struct(time.gmtime())

Sample Output:

localtime:
 tm_year : 2020
 tm_mon : 1
 tm_mday : 20
 tm_hour : 11
 tm_min : 58
 tm_sec : 13
 tm_wday : 0
 tm_yday : 20
 tm_isdst: 0

gmtime:
 tm_year : 2020
 tm_mon : 1
 tm_mday : 20
 tm_hour : 11
 tm_min : 58
 tm_sec : 13
 tm_wday : 0
 tm_yday : 20
 tm_isdst: 0

Python Code Editor:

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Previous: Write a Python program to find out what the epoch is on a given platform. Also convert a given time in seconds since the epoch.
Next: Write a Python program to get different time values with components timezone, timezone abbreviations, the offset of the local (non-DST) timezone, DST timezone and time of different timezones.

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Python: Tips of the Day

Python: Cache results with decorators

There is a great way to cache functions with decorators in Python. Caching will help save time and precious resources when there is an expensive function at hand.

Implementation is easy, just import lru_cache from functools library and decorate your function using @lru_cache.

from functools import lru_cache

@lru_cache(maxsize=None)
def fibo(a):
    if a <= 1:
        return a
    else:
        return fibo(a-1) + fibo(a-2)

for i in range(20):
    print(fibo(i), end="|")

print("\n\n", fibo.cache_info())

Output:

0|1|1|2|3|5|8|13|21|34|55|89|144|233|377|610|987|1597|2584|4181|

 CacheInfo(hits=36, misses=20, maxsize=None, currsize=20)