{"id":975796,"date":"2024-12-27T06:16:13","date_gmt":"2024-12-26T22:16:13","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/975796.html"},"modified":"2024-12-27T06:16:17","modified_gmt":"2024-12-26T22:16:17","slug":"python%e5%a6%82%e4%bd%95%e6%8e%a7%e5%88%b6%e5%a4%9a%e6%a0%b8%e8%bf%90%e8%a1%8c","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/975796.html","title":{"rendered":"python\u5982\u4f55\u63a7\u5236\u591a\u6838\u8fd0\u884c"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24200846\/1dc683de-c3bd-4ea9-a2e4-f56b0ae0fb5f.webp\" alt=\"python\u5982\u4f55\u63a7\u5236\u591a\u6838\u8fd0\u884c\" \/><\/p>\n<p><p> <strong>Python\u63a7\u5236\u591a\u6838\u8fd0\u884c\u7684\u5173\u952e\u5728\u4e8e\u4f7f\u7528\u591a\u7ebf\u7a0b\u548c\u591a\u8fdb\u7a0b\u3001\u5229\u7528\u5e76\u884c\u8ba1\u7b97\u5e93\u5982<code>multiprocessing<\/code>\u548c<code>concurrent.futures<\/code>\u3001\u901a\u8fc7\u4efb\u52a1\u5212\u5206\u548c\u8d1f\u8f7d\u5747\u8861\u5b9e\u73b0\u8d44\u6e90\u7684\u9ad8\u6548\u5229\u7528\u3002<\/strong> \u5176\u4e2d\uff0c<code>multiprocessing<\/code>\u6a21\u5757\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u5de5\u5177\u4e4b\u4e00\uff0c\u5b83\u53ef\u4ee5\u521b\u5efa\u591a\u4e2a\u8fdb\u7a0b\uff0c\u6bcf\u4e2a\u8fdb\u7a0b\u8fd0\u884c\u5728\u72ec\u7acb\u7684\u5185\u5b58\u7a7a\u95f4\u4e2d\uff0c\u4ece\u800c\u6709\u6548\u5730\u5229\u7528\u591a\u6838CPU\u3002\u540c\u65f6\uff0c<code>concurrent.futures<\/code>\u63d0\u4f9b\u4e86\u4e00\u79cd\u9ad8\u7ea7\u63a5\u53e3\u6765\u7ba1\u7406\u5f02\u6b65\u5e76\u884c\u4efb\u52a1\u3002\u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3\u5982\u4f55\u5b9e\u73b0\u591a\u6838\u8fd0\u884c\uff0c\u4ee5\u4e0b\u5c06\u8be6\u7ec6\u4ecb\u7ecdPython\u4e2d\u63a7\u5236\u591a\u6838\u8fd0\u884c\u7684\u51e0\u79cd\u65b9\u6cd5\u548c\u6280\u672f\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001PYTHON\u4e2d\u7684\u591a\u7ebf\u7a0b\u4e0e\u591a\u8fdb\u7a0b<\/p>\n<\/p>\n<p><p>\u591a\u7ebf\u7a0b\u548c\u591a\u8fdb\u7a0b\u662fPython\u4e2d\u5b9e\u73b0\u5e76\u53d1\u7f16\u7a0b\u7684\u4e24\u79cd\u57fa\u672c\u65b9\u5f0f\u3002\u867d\u7136\u5b83\u4eec\u90fd\u53ef\u4ee5\u7528\u6765\u5e76\u884c\u6267\u884c\u4efb\u52a1\uff0c\u4f46\u5728\u5b9e\u73b0\u7ec6\u8282\u548c\u9002\u7528\u573a\u666f\u4e0a\u6709\u663e\u8457\u4e0d\u540c\u3002<\/p>\n<\/p>\n<p><p>1\u3001\u591a\u7ebf\u7a0b<\/p>\n<\/p>\n<p><p>\u591a\u7ebf\u7a0b\u6307\u7684\u662f\u5728\u540c\u4e00\u4e2a\u8fdb\u7a0b\u4e2d\u6267\u884c\u591a\u4e2a\u7ebf\u7a0b\u3002Python\u7684<code>threading<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u5bf9\u591a\u7ebf\u7a0b\u7684\u652f\u6301\u3002\u7136\u800c\uff0c\u7531\u4e8ePython\u89e3\u91ca\u5668\u7684\u5168\u5c40\u89e3\u91ca\u5668\u9501\uff08GIL\uff09\u9650\u5236\uff0c\u540c\u4e00\u65f6\u523b\u53ea\u6709\u4e00\u4e2a\u7ebf\u7a0b\u5728\u6267\u884cPython\u5b57\u8282\u7801\uff0c\u8fd9\u9650\u5236\u4e86\u591a\u7ebf\u7a0b\u5728CPU\u5bc6\u96c6\u578b\u4efb\u52a1\u4e0a\u7684\u8868\u73b0\u3002\u591a\u7ebf\u7a0b\u66f4\u9002\u5408I\/O\u5bc6\u96c6\u578b\u4efb\u52a1\uff0c\u5982\u6587\u4ef6\u8bfb\u5199\u3001\u7f51\u7edc\u8bf7\u6c42\u7b49\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import threading<\/p>\n<p>def task():<\/p>\n<p>    print(&quot;Thread is running&quot;)<\/p>\n<p>threads = []<\/p>\n<p>for i in range(4):<\/p>\n<p>    thread = threading.Thread(target=task)<\/p>\n<p>    threads.append(thread)<\/p>\n<p>    thread.start()<\/p>\n<p>for thread in threads:<\/p>\n<p>    thread.join()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>2\u3001\u591a\u8fdb\u7a0b<\/p>\n<\/p>\n<p><p>\u591a\u8fdb\u7a0b\u662f\u6307\u5728\u64cd\u4f5c\u7cfb\u7edf\u4e2d\u521b\u5efa\u591a\u4e2a\u72ec\u7acb\u7684\u8fdb\u7a0b\uff0c\u6bcf\u4e2a\u8fdb\u7a0b\u6709\u81ea\u5df1\u7684\u5185\u5b58\u7a7a\u95f4\u3002Python\u7684<code>multiprocessing<\/code>\u6a21\u5757\u652f\u6301\u591a\u8fdb\u7a0b\u7f16\u7a0b\uff0c\u53ef\u4ee5\u5145\u5206\u5229\u7528\u591a\u6838CPU\u7684\u6027\u80fd\uff0c\u662fCPU\u5bc6\u96c6\u578b\u4efb\u52a1\u7684\u7406\u60f3\u9009\u62e9\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import multiprocessing<\/p>\n<p>def task():<\/p>\n<p>    print(&quot;Process is running&quot;)<\/p>\n<p>processes = []<\/p>\n<p>for i in range(4):<\/p>\n<p>    process = multiprocessing.Process(target=task)<\/p>\n<p>    processes.append(process)<\/p>\n<p>    process.start()<\/p>\n<p>for process in processes:<\/p>\n<p>    process.join()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e8c\u3001MULTIPROCESSING\u6a21\u5757\u7684\u4f7f\u7528<\/p>\n<\/p>\n<p><p><code>multiprocessing<\/code>\u6a21\u5757\u662fPython\u4e2d\u6700\u91cd\u8981\u7684\u5e76\u884c\u8ba1\u7b97\u5de5\u5177\u4e4b\u4e00\u3002\u5b83\u4e0d\u4ec5\u53ef\u4ee5\u521b\u5efa\u591a\u4e2a\u8fdb\u7a0b\uff0c\u8fd8\u63d0\u4f9b\u4e86\u8fdb\u7a0b\u6c60\u3001\u8fdb\u7a0b\u95f4\u901a\u4fe1\u3001\u5171\u4eab\u5185\u5b58\u7b49\u529f\u80fd\u3002<\/p>\n<\/p>\n<p><p>1\u3001\u8fdb\u7a0b\u6c60<\/p>\n<\/p>\n<p><p>\u8fdb\u7a0b\u6c60\u5141\u8bb8\u6211\u4eec\u4e00\u6b21\u6027\u521b\u5efa\u591a\u4e2a\u8fdb\u7a0b\uff0c\u5e76\u5c06\u4efb\u52a1\u5206\u914d\u7ed9\u8fd9\u4e9b\u8fdb\u7a0b\u3002\u901a\u8fc7<code>Pool<\/code>\u5bf9\u8c61\uff0c\u6211\u4eec\u53ef\u4ee5\u65b9\u4fbf\u5730\u7ba1\u7406\u591a\u4e2a\u8fdb\u7a0b\uff0c\u7279\u522b\u9002\u5408\u5927\u6279\u91cf\u4efb\u52a1\u5904\u7406\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from multiprocessing import Pool<\/p>\n<p>def square(x):<\/p>\n<p>    return x * x<\/p>\n<p>with Pool(4) as pool:<\/p>\n<p>    results = pool.map(square, range(10))<\/p>\n<p>print(results)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>2\u3001\u8fdb\u7a0b\u95f4\u901a\u4fe1<\/p>\n<\/p>\n<p><p><code>multiprocessing<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86<code>Queue<\/code>\u548c<code>Pipe<\/code>\u7528\u4e8e\u8fdb\u7a0b\u95f4\u901a\u4fe1\u3002<code>Queue<\/code>\u662f\u4e00\u4e2a\u7ebf\u7a0b\u548c\u8fdb\u7a0b\u5b89\u5168\u7684FIFO\u961f\u5217\uff0c\u800c<code>Pipe<\/code>\u7528\u4e8e\u521b\u5efa\u4e24\u4e2a\u8fde\u63a5\u7684\u7ba1\u9053\u7aef\u70b9\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from multiprocessing import Process, Queue<\/p>\n<p>def worker(q):<\/p>\n<p>    q.put(&#39;Hello from process&#39;)<\/p>\n<p>if __name__ == &#39;__m<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>n__&#39;:<\/p>\n<p>    q = Queue()<\/p>\n<p>    p = Process(target=worker, args=(q,))<\/p>\n<p>    p.start()<\/p>\n<p>    print(q.get())<\/p>\n<p>    p.join()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e09\u3001CONCURRENT.FUTURES\u6a21\u5757\u7684\u5e94\u7528<\/p>\n<\/p>\n<p><p><code>concurrent.futures<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u4e00\u4e2a\u9ad8\u7ea7\u63a5\u53e3\u6765\u7ba1\u7406\u5f02\u6b65\u5e76\u884c\u4efb\u52a1\uff0c\u5305\u62ec\u7ebf\u7a0b\u548c\u8fdb\u7a0b\u6c60\u6267\u884c\u5668\u3002\u76f8\u6bd4\u4e8e\u76f4\u63a5\u4f7f\u7528<code>threading<\/code>\u548c<code>multiprocessing<\/code>\uff0c<code>concurrent.futures<\/code>\u66f4\u7b80\u6d01\u6613\u7528\u3002<\/p>\n<\/p>\n<p><p>1\u3001\u7ebf\u7a0b\u6c60\u6267\u884c\u5668<\/p>\n<\/p>\n<p><p><code>ThreadPoolExecutor<\/code>\u7528\u4e8e\u7ba1\u7406\u7ebf\u7a0b\u6c60\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u63d0\u4ea4\u548c\u83b7\u53d6\u5f02\u6b65\u4efb\u52a1\u7684\u7ed3\u679c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from concurrent.futures import ThreadPoolExecutor<\/p>\n<p>def task(n):<\/p>\n<p>    return n * 2<\/p>\n<p>with ThreadPoolExecutor(max_workers=4) as executor:<\/p>\n<p>    futures = [executor.submit(task, i) for i in range(10)]<\/p>\n<p>    results = [f.result() for f in futures]<\/p>\n<p>print(results)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>2\u3001\u8fdb\u7a0b\u6c60\u6267\u884c\u5668<\/p>\n<\/p>\n<p><p><code>ProcessPoolExecutor<\/code>\u7528\u4e8e\u7ba1\u7406\u8fdb\u7a0b\u6c60\uff0c\u9002\u5408CPU\u5bc6\u96c6\u578b\u4efb\u52a1\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from concurrent.futures import ProcessPoolExecutor<\/p>\n<p>def task(n):<\/p>\n<p>    return n * 2<\/p>\n<p>with ProcessPoolExecutor(max_workers=4) as executor:<\/p>\n<p>    futures = [executor.submit(task, i) for i in range(10)]<\/p>\n<p>    results = [f.result() for f in futures]<\/p>\n<p>print(results)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u56db\u3001\u4efb\u52a1\u5212\u5206\u4e0e\u8d1f\u8f7d\u5747\u8861<\/p>\n<\/p>\n<p><p>\u4e3a\u4e86\u66f4\u9ad8\u6548\u5730\u5229\u7528\u591a\u6838CPU\uff0c\u5408\u7406\u7684\u4efb\u52a1\u5212\u5206\u548c\u8d1f\u8f7d\u5747\u8861\u662f\u5fc5\u4e0d\u53ef\u5c11\u7684\u3002\u53ef\u4ee5\u5c06\u4efb\u52a1\u5206\u6210\u591a\u4e2a\u72ec\u7acb\u7684\u5b50\u4efb\u52a1\uff0c\u5e76\u5c06\u8fd9\u4e9b\u5b50\u4efb\u52a1\u5747\u5300\u5206\u914d\u7ed9\u4e0d\u540c\u7684\u8fdb\u7a0b\u6216\u7ebf\u7a0b\u3002<\/p>\n<\/p>\n<p><p>1\u3001\u4efb\u52a1\u5212\u5206<\/p>\n<\/p>\n<p><p>\u4efb\u52a1\u5212\u5206\u7684\u57fa\u672c\u601d\u8def\u662f\u5c06\u4e00\u4e2a\u5927\u4efb\u52a1\u5206\u89e3\u6210\u591a\u4e2a\u5c0f\u4efb\u52a1\uff0c\u6bcf\u4e2a\u5c0f\u4efb\u52a1\u53ef\u4ee5\u72ec\u7acb\u6267\u884c\u3002\u901a\u8fc7\u5408\u7406\u7684\u4efb\u52a1\u5212\u5206\uff0c\u53ef\u4ee5\u51cf\u5c11\u6bcf\u4e2a\u8fdb\u7a0b\u6216\u7ebf\u7a0b\u7684\u7b49\u5f85\u65f6\u95f4\uff0c\u63d0\u9ad8\u6574\u4f53\u6548\u7387\u3002<\/p>\n<\/p>\n<p><p>2\u3001\u8d1f\u8f7d\u5747\u8861<\/p>\n<\/p>\n<p><p>\u8d1f\u8f7d\u5747\u8861\u7684\u76ee\u6807\u662f\u5c3d\u91cf\u5747\u5300\u5730\u5206\u914d\u4efb\u52a1\u7ed9\u6240\u6709\u53ef\u7528\u7684\u8fdb\u7a0b\u6216\u7ebf\u7a0b\uff0c\u907f\u514d\u67d0\u4e9b\u8fdb\u7a0b\u6216\u7ebf\u7a0b\u8fc7\u8f7d\u3002\u53ef\u4ee5\u901a\u8fc7\u52a8\u6001\u8c03\u6574\u4efb\u52a1\u5206\u914d\u7b56\u7565\u6216\u4f7f\u7528\u8fdb\u7a0b\u6c60\u5b9e\u73b0\u8d1f\u8f7d\u5747\u8861\u3002<\/p>\n<\/p>\n<p><p>\u4e94\u3001\u6027\u80fd\u4f18\u5316\u6280\u5de7<\/p>\n<\/p>\n<p><p>\u5728\u4f7f\u7528Python\u8fdb\u884c\u591a\u6838\u8fd0\u884c\u65f6\uff0c\u6027\u80fd\u4f18\u5316\u662f\u4e00\u4e2a\u91cd\u8981\u7684\u8003\u8651\u56e0\u7d20\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u6027\u80fd\u4f18\u5316\u6280\u5de7\uff1a<\/p>\n<\/p>\n<p><p>1\u3001\u907f\u514d\u5168\u5c40\u89e3\u91ca\u5668\u9501\uff08GIL\uff09\u9650\u5236<\/p>\n<\/p>\n<p><p>\u5bf9\u4e8eCPU\u5bc6\u96c6\u578b\u4efb\u52a1\uff0c\u5e94\u5c3d\u91cf\u4f7f\u7528\u591a\u8fdb\u7a0b\u800c\u975e\u591a\u7ebf\u7a0b\uff0c\u4ee5\u907f\u514dGIL\u5bf9\u6027\u80fd\u7684\u9650\u5236\u3002<\/p>\n<\/p>\n<p><p>2\u3001\u51cf\u5c11\u8fdb\u7a0b\u95f4\u901a\u4fe1\u5f00\u9500<\/p>\n<\/p>\n<p><p>\u5c3d\u91cf\u51cf\u5c11\u8fdb\u7a0b\u95f4\u901a\u4fe1\u7684\u6b21\u6570\u548c\u6570\u636e\u91cf\uff0c\u56e0\u4e3a\u8fdb\u7a0b\u95f4\u901a\u4fe1\u901a\u5e38\u662f\u4e00\u4e2a\u5f00\u9500\u8f83\u5927\u7684\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><p>3\u3001\u4f7f\u7528\u5408\u9002\u7684\u6570\u636e\u7ed3\u6784<\/p>\n<\/p>\n<p><p>\u5728\u8fdb\u884c\u5e76\u53d1\u7f16\u7a0b\u65f6\uff0c\u9009\u62e9\u5408\u9002\u7684\u6570\u636e\u7ed3\u6784\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u6027\u80fd\u3002\u4f8b\u5982\uff0c\u4f7f\u7528<code>Queue<\/code>\u800c\u975e\u5171\u4eab\u53d8\u91cf\u6765\u5b9e\u73b0\u8fdb\u7a0b\u95f4\u901a\u4fe1\u3002<\/p>\n<\/p>\n<p><p>\u516d\u3001\u603b\u7ed3<\/p>\n<\/p>\n<p><p>Python\u4e2d\u63a7\u5236\u591a\u6838\u8fd0\u884c\u9700\u8981\u7efc\u5408\u8fd0\u7528\u591a\u7ebf\u7a0b\u3001\u591a\u8fdb\u7a0b\u3001\u5e76\u884c\u8ba1\u7b97\u5e93\u4ee5\u53ca\u4efb\u52a1\u5212\u5206\u548c\u8d1f\u8f7d\u5747\u8861\u7b49\u6280\u672f\u3002\u901a\u8fc7\u5408\u7406\u7684\u8bbe\u8ba1\u548c\u4f18\u5316\uff0c\u53ef\u4ee5\u5145\u5206\u5229\u7528\u591a\u6838CPU\u7684\u6027\u80fd\uff0c\u63d0\u9ad8\u7a0b\u5e8f\u7684\u6267\u884c\u6548\u7387\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u5e94\u6839\u636e\u5177\u4f53\u4efb\u52a1\u7684\u7279\u6027\u9009\u62e9\u5408\u9002\u7684\u5e76\u53d1\u7f16\u7a0b\u6a21\u578b\u548c\u4f18\u5316\u7b56\u7565\uff0c\u4ee5\u8fbe\u5230\u6700\u4f73\u7684\u6027\u80fd\u8868\u73b0\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u5b9e\u73b0\u591a\u8fdb\u7a0b\u7f16\u7a0b\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528<code>multiprocessing<\/code>\u6a21\u5757\u6765\u5b9e\u73b0\u591a\u8fdb\u7a0b\u7f16\u7a0b\u3002\u8fd9\u4e2a\u6a21\u5757\u5141\u8bb8\u4f60\u521b\u5efa\u591a\u4e2a\u8fdb\u7a0b\uff0c\u6bcf\u4e2a\u8fdb\u7a0b\u90fd\u6709\u81ea\u5df1\u7684Python\u89e3\u91ca\u5668\u548c\u5185\u5b58\u7a7a\u95f4\uff0c\u4ece\u800c\u6709\u6548\u5730\u5229\u7528\u591a\u6838CPU\u3002\u901a\u8fc7\u521b\u5efa<code>Process<\/code>\u7c7b\u7684\u5b9e\u4f8b\u5e76\u8c03\u7528<code>start()<\/code>\u65b9\u6cd5\uff0c\u4f60\u53ef\u4ee5\u5e76\u884c\u6267\u884c\u4e0d\u540c\u7684\u4efb\u52a1\u3002\u6b64\u5916\uff0c<code>Pool<\/code>\u7c7b\u53ef\u4ee5\u5e2e\u52a9\u4f60\u7ba1\u7406\u591a\u4e2a\u8fdb\u7a0b\u5e76\u7b80\u5316\u4efb\u52a1\u5206\u914d\u3002<\/p>\n<p><strong>\u4f7f\u7528\u591a\u7ebf\u7a0b\u548c\u591a\u8fdb\u7a0b\u6709\u4ec0\u4e48\u533a\u522b\uff1f<\/strong><br \/>\u591a\u7ebf\u7a0b\u548c\u591a\u8fdb\u7a0b\u90fd\u662f\u5b9e\u73b0\u5e76\u53d1\u7684\u65b9\u5f0f\uff0c\u4f46\u5b83\u4eec\u7684\u5de5\u4f5c\u539f\u7406\u4e0d\u540c\u3002\u591a\u7ebf\u7a0b\u5171\u4eab\u540c\u4e00\u4e2a\u8fdb\u7a0b\u7684\u5185\u5b58\u7a7a\u95f4\uff0c\u9002\u5408I\/O\u5bc6\u96c6\u578b\u4efb\u52a1\uff0c\u800c\u591a\u8fdb\u7a0b\u5219\u4e3a\u6bcf\u4e2a\u8fdb\u7a0b\u5206\u914d\u72ec\u7acb\u7684\u5185\u5b58\uff0c\u9002\u5408CPU\u5bc6\u96c6\u578b\u4efb\u52a1\u3002\u7531\u4e8ePython\u7684\u5168\u5c40\u89e3\u91ca\u5668\u9501\uff08GIL\uff09\uff0c\u5728\u591a\u7ebf\u7a0b\u4e2d\u53ef\u80fd\u65e0\u6cd5\u5145\u5206\u5229\u7528\u591a\u6838CPU\uff0c\u56e0\u6b64\u5728\u9700\u8981\u9ad8\u8ba1\u7b97\u80fd\u529b\u7684\u573a\u666f\u4e0b\uff0c\u591a\u8fdb\u7a0b\u901a\u5e38\u662f\u66f4\u597d\u7684\u9009\u62e9\u3002<\/p>\n<p><strong>\u5982\u4f55\u5728\u591a\u8fdb\u7a0b\u4e2d\u5171\u4eab\u6570\u636e\uff1f<\/strong><br \/>\u5728\u591a\u8fdb\u7a0b\u7f16\u7a0b\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528<code>multiprocessing<\/code>\u6a21\u5757\u4e2d\u7684<code>Queue<\/code>\u3001<code>Pipe<\/code>\u6216<code>Value<\/code>\u548c<code>Array<\/code>\u7b49\u6570\u636e\u7ed3\u6784\u6765\u5171\u4eab\u6570\u636e\u3002\u8fd9\u4e9b\u7ed3\u6784\u786e\u4fdd\u4e86\u8fdb\u7a0b\u95f4\u7684\u6570\u636e\u5b89\u5168\u548c\u4e00\u81f4\u6027\u3002\u4f7f\u7528<code>Manager<\/code>\u7c7b\u4e5f\u53ef\u4ee5\u521b\u5efa\u5171\u4eab\u5bf9\u8c61\uff0c\u8ba9\u591a\u4e2a\u8fdb\u7a0b\u53ef\u4ee5\u5b89\u5168\u5730\u8bbf\u95ee\u548c\u4fee\u6539\u540c\u4e00\u6570\u636e\u3002\u5408\u7406\u9009\u62e9\u5171\u4eab\u65b9\u5f0f\u5bf9\u4e8e\u5b9e\u73b0\u9ad8\u6548\u4e14\u5b89\u5168\u7684\u5e76\u884c\u8ba1\u7b97\u81f3\u5173\u91cd\u8981\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u63a7\u5236\u591a\u6838\u8fd0\u884c\u7684\u5173\u952e\u5728\u4e8e\u4f7f\u7528\u591a\u7ebf\u7a0b\u548c\u591a\u8fdb\u7a0b\u3001\u5229\u7528\u5e76\u884c\u8ba1\u7b97\u5e93\u5982multiprocessing\u548cconc [&hellip;]","protected":false},"author":3,"featured_media":975806,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/975796"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=975796"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/975796\/revisions"}],"predecessor-version":[{"id":975807,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/975796\/revisions\/975807"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/975806"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=975796"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=975796"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=975796"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}