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Computer industry famous formula, proposed by the Swiss computer scientist Jack Nicklaus. Witts (Niklaus Wirth), also won the Turing Award
Program = algorithm + data structure
not seen data structures and algorithms, sometimes face the problem may not have any idea I do not know how to start to solve;
most of the time might solve the problem, but the program is not running efficiency and cost awareness, poor performance;
sometimes help tool developed by others to solve the problem temporarily, but when it came to performance bottlenecks, and I do not know how to carry out targeted optimization * * -
Simulation scenarios
a, b, c three number
1. A + B + C = 1000 (0--1000)
2.a ** ** 2 = B 2 + C 2 **
find a, b, c possible combinations ? ? ? - normal
import time s_time = time.time() import datetime starttime = datetime.datetime.now() print(starttime) for a in range(1,1001): for b in range(1,1001): for c in range(1, 1001): if a+b+c == 1000 and a**2 + b**2 == c**2: print("a= %s,b= %s,c= %s"% (a,b,c)) endtime = datetime.datetime.now() yonghsi = the endtime - startTime Print ( " time is consumed:% S " % yonghsi)
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- time
- Algorithm optimization
import time starttime = time.time() print(starttime) for a in range(1,1001): for b in range(1,1001): c = 1000 - a - b if a**2 + b**2 == c**2: print("a= %s,b= %s,c= %s"% (a,b,c)) endtime = time.time() print(endtime) Yongshi = endtime- startTime Print ( " total time was:% S " % Yongshi)
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- timeit (python built-in test module)
Import the timeit # Python built-in performance test module def func(): for a in range(1, 1001): for b in range(1, 1001): c = 1000 - a - b if a ** 2 + b ** 2 == c ** 2: print("a= %s,b= %s,c= %s" % (a, b, c)) timer01 = timeit.Timer ( " FUNC () " , " from __main__ Import FUNC " ) # the Timer (first position you want to write performance test for which function. The second position from which to introduce this function) Print (timer01 .timeit (10) / 10) # here timeit () represents the number of tests 1.2070892295 #
2020-01-07 00:08:26