我有以下內容：
d = #a dictionary with strings
l1 = [...] #a list with stuff
l2 = [...] #a list with numbers
for i in l1:
for key in l2:
#do some stuff
if d[key] == i:
print d[key]
我想使用執行緒(為了提高效能)做同樣的事情.我想的是：
import threading
d = #a dictionary with strings
l1 = [...] #a list with stuff
l2 = [...] #a list with numbers
def test(i, key):
#do the same stuff
if d[key] == i:
print d[j]
for i in l1:
for key in l2:
threading.start_new_thread(test, (i,key))
我不確定這是最好的方法.我擔心的是,我根本沒有優化.一些基本想法是：
> d應該在共享記憶體中(所有執行緒都可以訪問它).我假設沒有執行緒會訪問相同的條目.
>每個(i,key)組合應該同時進行測試.
如果你認為我應該使用另一種語言,如果你能指出它我會很高興.
幫助將是ayciated.提前致謝.
解決方法:
multiprocessing is a package that supports spawning processes using an
api similar to the threading module. the multiprocessing package
offers both local and remote concurrency, effectively side-stepping
the global interpreter lock by using subprocesses instead of threads.
due to this, the multiprocessing module allows the programmer to fully
leverage multiple processors on a given machine.
標籤：python,multithreading
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