AI<\/a>ned Application Protocol\uff09\u662f\u4e00\u79cd\u4e13\u4e3a\u8d44\u6e90\u53d7\u9650\u8bbe\u5907\u8bbe\u8ba1\u7684\u5e94\u7528\u5c42\u534f\u8bae\uff0c\u7c7b\u4f3c\u4e8eHTTP\u534f\u8bae\uff0c\u4f46\u66f4\u52a0\u8f7b\u91cf\u7ea7\u3002CoAP\u534f\u8bae\u57fa\u4e8e\u8bf7\u6c42\/\u54cd\u5e94\u6a21\u5f0f\uff0c\u8bbe\u5907\u53ef\u4ee5\u53d1\u9001\u8bf7\u6c42\u5e76\u63a5\u6536\u54cd\u5e94\u3002<\/p>\n<\/p>\nfrom coapthon.client.helperclient import HelperClient<\/p>\n\u914d\u7f6eCoAP\u5ba2\u6237\u7aef<\/strong><\/h2>\nclient = HelperClient(server=("coap_server_address", 5683))<\/p>\n
\u53d1\u9001\u8bf7\u6c42<\/strong><\/h2>\nresponse = client.get("test\/resource")<\/p>\n
print("Received response:", response.payload)<\/p>\n
client.stop()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u7f16\u5199\u4ee3\u7801<\/p>\n<\/p>\n
\u7f16\u5199\u4ee3\u7801\u662f\u642d\u5efa\u7269\u8054\u7f51\u7cfb\u7edf\u7684\u6838\u5fc3\u6b65\u9aa4\uff0c\u901a\u8fc7\u7f16\u5199\u4ee3\u7801\uff0c\u5b9e\u73b0\u4f20\u611f\u5668\u6570\u636e\u7684\u91c7\u96c6\u3001\u5904\u7406\u548c\u4f20\u8f93\u3002\u5728\u7f16\u5199\u4ee3\u7801\u65f6\uff0c\u9700\u8981\u8003\u8651\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u3001\u53ef\u7ef4\u62a4\u6027\u548c\u6027\u80fd\u7b49\u56e0\u7d20\u3002<\/p>\n<\/p>\n
\n- \u6570\u636e\u91c7\u96c6<\/li>\n<\/ol>\n
\u6570\u636e\u91c7\u96c6\u662f\u7269\u8054\u7f51\u7cfb\u7edf\u7684\u57fa\u7840\uff0c\u901a\u8fc7\u91c7\u96c6\u4f20\u611f\u5668\u7684\u6570\u636e\uff0c\u5b9e\u73b0\u5bf9\u73af\u5883\u7684\u76d1\u6d4b\u3002\u5728\u7f16\u5199\u6570\u636e\u91c7\u96c6\u4ee3\u7801\u65f6\uff0c\u9700\u8981\u6839\u636e\u4f20\u611f\u5668\u7684\u7c7b\u578b\u548c\u63a5\u53e3\uff0c\u7f16\u5199\u76f8\u5e94\u7684\u4ee3\u7801\u3002\u4f8b\u5982\uff0c\u4f7f\u7528DHT11\u6e29\u6e7f\u5ea6\u4f20\u611f\u5668\u91c7\u96c6\u6e29\u6e7f\u5ea6\u6570\u636e\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import Adafruit_DHT<\/p>\n\u914d\u7f6e\u4f20\u611f\u5668<\/strong><\/h2>\nsensor = Adafruit_DHT.DHT11<\/p>\n
pin = 4<\/p>\n
\u91c7\u96c6\u6570\u636e<\/strong><\/h2>\nhumidity, temperature = Adafruit_DHT.read_retry(sensor, pin)<\/p>\n
print("Temperature:", temperature, "C")<\/p>\n
print("Humidity:", humidity, "%")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\n- \u6570\u636e\u5904\u7406<\/li>\n<\/ol>\n
\u6570\u636e\u5904\u7406\u662f\u7269\u8054\u7f51\u7cfb\u7edf\u7684\u91cd\u8981\u6b65\u9aa4\uff0c\u901a\u8fc7\u5bf9\u91c7\u96c6\u7684\u6570\u636e\u8fdb\u884c\u5904\u7406\uff0c\u5b9e\u73b0\u6570\u636e\u7684\u5206\u6790\u548c\u51b3\u7b56\u3002\u5728\u7f16\u5199\u6570\u636e\u5904\u7406\u4ee3\u7801\u65f6\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u7684\u5e94\u7528\u573a\u666f\uff0c\u9009\u62e9\u5408\u9002\u7684\u6570\u636e\u5904\u7406\u7b97\u6cd5\u3002\u4f8b\u5982\uff0c\u4f7f\u7528\u79fb\u52a8\u5e73\u5747\u7b97\u6cd5\u5bf9\u6570\u636e\u8fdb\u884c\u5e73\u6ed1\u5904\u7406\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
def moving_average(data, window_size):<\/p>\n result = []<\/p>\n
for i in range(len(data)):<\/p>\n
if i < window_size:<\/p>\n
result.append(sum(data[:i+1]) \/ (i+1))<\/p>\n
else:<\/p>\n
result.append(sum(data[i-window_size+1:i+1]) \/ window_size)<\/p>\n
return result<\/p>\n
data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]<\/p>\n
window_size = 3<\/p>\n
smoothed_data = moving_average(data, window_size)<\/p>\n
print("Smoothed data:", smoothed_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\n- \u6570\u636e\u4f20\u8f93<\/li>\n<\/ol>\n
\u6570\u636e\u4f20\u8f93\u662f\u7269\u8054\u7f51\u7cfb\u7edf\u7684\u5173\u952e\u6b65\u9aa4\uff0c\u901a\u8fc7\u5c06\u5904\u7406\u540e\u7684\u6570\u636e\u4f20\u8f93\u5230\u4e91\u7aef\u670d\u52a1\u5668\uff0c\u5b9e\u73b0\u6570\u636e\u7684\u5b58\u50a8\u548c\u5206\u6790\u3002\u5728\u7f16\u5199\u6570\u636e\u4f20\u8f93\u4ee3\u7801\u65f6\uff0c\u53ef\u4ee5\u9009\u62e9\u5408\u9002\u7684\u901a\u4fe1\u534f\u8bae\u548c\u4f20\u8f93\u65b9\u5f0f\u3002\u4f8b\u5982\uff0c\u4f7f\u7528MQTT\u534f\u8bae\u5c06\u6570\u636e\u4f20\u8f93\u5230\u4e91\u7aef\u670d\u52a1\u5668\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import paho.mqtt.client as mqtt<\/p>\n\u914d\u7f6eMQTT\u5ba2\u6237\u7aef<\/strong><\/h2>\nclient = mqtt.Client()<\/p>\n
client.connect("mqtt_broker_address", 1883, 60)<\/p>\n
\u4f20\u8f93\u6570\u636e<\/strong><\/h2>\ndata = {"temperature": 25.0, "humidity": 60.0}<\/p>\n
client.publish("test\/topic", str(data))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u6570\u636e\u5904\u7406\u548c\u5b58\u50a8<\/p>\n<\/p>\n
\u6570\u636e\u5904\u7406\u548c\u5b58\u50a8\u662f\u7269\u8054\u7f51\u7cfb\u7edf\u7684\u6838\u5fc3\u6b65\u9aa4\uff0c\u901a\u8fc7\u5bf9\u4f20\u8f93\u7684\u6570\u636e\u8fdb\u884c\u5904\u7406\u548c\u5b58\u50a8\uff0c\u5b9e\u73b0\u6570\u636e\u7684\u5206\u6790\u548c\u51b3\u7b56\u3002\u5728\u6570\u636e\u5904\u7406\u548c\u5b58\u50a8\u65f6\uff0c\u53ef\u4ee5\u9009\u62e9\u5408\u9002\u7684\u6570\u636e\u5904\u7406\u7b97\u6cd5\u548c\u5b58\u50a8\u65b9\u5f0f\u3002<\/p>\n<\/p>\n
\n- \u6570\u636e\u5904\u7406<\/li>\n<\/ol>\n
\u6570\u636e\u5904\u7406\u662f\u7269\u8054\u7f51\u7cfb\u7edf\u7684\u91cd\u8981\u6b65\u9aa4\uff0c\u901a\u8fc7\u5bf9\u4f20\u8f93\u7684\u6570\u636e\u8fdb\u884c\u5904\u7406\uff0c\u5b9e\u73b0\u6570\u636e\u7684\u5206\u6790\u548c\u51b3\u7b56\u3002\u5728\u7f16\u5199\u6570\u636e\u5904\u7406\u4ee3\u7801\u65f6\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u7684\u5e94\u7528\u573a\u666f\uff0c\u9009\u62e9\u5408\u9002\u7684\u6570\u636e\u5904\u7406\u7b97\u6cd5\u3002\u4f8b\u5982\uff0c\u4f7f\u7528\u7ebf\u6027\u56de\u5f52\u7b97\u6cd5\u5bf9\u6570\u636e\u8fdb\u884c\u9884\u6d4b\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import numpy as np<\/p>\nfrom sklearn.linear_model import LinearRegression<\/p>\n
\u914d\u7f6e\u6570\u636e<\/strong><\/h2>\nX = np.array([[1], [2], [3], [4], [5]])<\/p>\n
y = np.array([2, 3, 5, 7, 11])<\/p>\n
\u8bad\u7ec3\u6a21\u578b<\/strong><\/h2>\nmodel = LinearRegression()<\/p>\n
model.fit(X, y)<\/p>\n
\u9884\u6d4b\u6570\u636e<\/strong><\/h2>\nX_test = np.array([[6], [7]])<\/p>\n
y_pred = model.predict(X_test)<\/p>\n
print("Predicted data:", y_pred)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\n- \u6570\u636e\u5b58\u50a8<\/li>\n<\/ol>\n
\u6570\u636e\u5b58\u50a8\u662f\u7269\u8054\u7f51\u7cfb\u7edf\u7684\u5173\u952e\u6b65\u9aa4\uff0c\u901a\u8fc7\u5c06\u5904\u7406\u540e\u7684\u6570\u636e\u5b58\u50a8\u5230\u6570\u636e\u5e93\uff0c\u5b9e\u73b0\u6570\u636e\u7684\u6301\u4e45\u5316\u548c\u67e5\u8be2\u3002\u5728\u7f16\u5199\u6570\u636e\u5b58\u50a8\u4ee3\u7801\u65f6\uff0c\u53ef\u4ee5\u9009\u62e9\u5408\u9002\u7684\u6570\u636e\u5e93\u548c\u5b58\u50a8\u65b9\u5f0f\u3002\u4f8b\u5982\uff0c\u4f7f\u7528SQLite\u6570\u636e\u5e93\u5b58\u50a8\u6570\u636e\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import sqlite3<\/p>\n\u914d\u7f6e\u6570\u636e\u5e93<\/strong><\/h2>\nconn = sqlite3.connect('iot_data.db')<\/p>\n
c = conn.cursor()<\/p>\n
\u521b\u5efa\u8868<\/strong><\/h2>\nc.execute('''CREATE TABLE IF NOT EXISTS data<\/p>\n
(timestamp DATETIME, temperature REAL, humidity REAL)''')<\/p>\n
\u63d2\u5165\u6570\u636e<\/strong><\/h2>\ndata = [(datetime.now(), 25.0, 60.0)]<\/p>\n
c.executemany('INSERT INTO data VALUES (?, ?, ?)', data)<\/p>\n
\u67e5\u8be2\u6570\u636e<\/strong><\/h2>\nc.execute('SELECT * FROM data')<\/p>\n
rows = c.fetchall()<\/p>\n
for row in rows:<\/p>\n
print(row)<\/p>\n
conn.commit()<\/p>\n
conn.close()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u5b9e\u73b0\u5b89\u5168\u6027<\/p>\n<\/p>\n
\u5b9e\u73b0\u5b89\u5168\u6027\u662f\u7269\u8054\u7f51\u7cfb\u7edf\u7684\u91cd\u8981\u6b65\u9aa4\uff0c\u901a\u8fc7\u5bf9\u6570\u636e\u8fdb\u884c\u52a0\u5bc6\u548c\u8ba4\u8bc1\uff0c\u786e\u4fdd\u6570\u636e\u7684\u5b89\u5168\u4f20\u8f93\u548c\u5b58\u50a8\u3002\u5728\u5b9e\u73b0\u5b89\u5168\u6027\u65f6\uff0c\u53ef\u4ee5\u9009\u62e9\u5408\u9002\u7684\u52a0\u5bc6\u7b97\u6cd5\u548c\u8ba4\u8bc1\u65b9\u5f0f\u3002<\/p>\n<\/p>\n
\n- \u6570\u636e\u52a0\u5bc6<\/li>\n<\/ol>\n
\u6570\u636e\u52a0\u5bc6\u662f\u7269\u8054\u7f51\u7cfb\u7edf\u7684\u91cd\u8981\u6b65\u9aa4\uff0c\u901a\u8fc7\u5bf9\u4f20\u8f93\u7684\u6570\u636e\u8fdb\u884c\u52a0\u5bc6\uff0c\u786e\u4fdd\u6570\u636e\u7684\u5b89\u5168\u4f20\u8f93\u3002\u5728\u7f16\u5199\u6570\u636e\u52a0\u5bc6\u4ee3\u7801\u65f6\uff0c\u53ef\u4ee5\u9009\u62e9\u5408\u9002\u7684\u52a0\u5bc6\u7b97\u6cd5\u548c\u52a0\u5bc6\u65b9\u5f0f\u3002\u4f8b\u5982\uff0c\u4f7f\u7528AES\u7b97\u6cd5\u5bf9\u6570\u636e\u8fdb\u884c\u52a0\u5bc6\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
from Crypto.Cipher import AES<\/p>\nimport base64<\/p>\n
\u914d\u7f6e\u52a0\u5bc6\u5bc6\u94a5<\/strong><\/h2>\nkey = b'Sixteen byte key'<\/p>\n
\u52a0\u5bc6\u6570\u636e<\/strong><\/h2>\ndef encrypt(data):<\/p>\n
cipher = AES.new(key, AES.MODE_EAX)<\/p>\n
nonce = cipher.nonce<\/p>\n
ciphertext, tag = cipher.encrypt_and_digest(data.encode('utf-8'))<\/p>\n
return base64.b64encode(nonce + ciphertext).decode('utf-8')<\/p>\n
\u89e3\u5bc6\u6570\u636e<\/strong><\/h2>\ndef decrypt(data):<\/p>\n
data = base64.b64decode(data)<\/p>\n
nonce = data[:16]<\/p>\n
ciphertext = data[16:]<\/p>\n
cipher = AES.new(key, AES.MODE_EAX, nonce=nonce)<\/p>\n
return cipher.decrypt(ciphertext).decode('utf-8')<\/p>\n
data = "Hello, World!"<\/p>\n
encrypted_data = encrypt(data)<\/p>\n
decrypted_data = decrypt(encrypted_data)<\/p>\n
print("Encrypted data:", encrypted_data)<\/p>\n
print("Decrypted data:", decrypted_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\n- \u6570\u636e\u8ba4\u8bc1<\/li>\n<\/ol>\n
\u6570\u636e\u8ba4\u8bc1\u662f\u7269\u8054\u7f51\u7cfb\u7edf\u7684\u91cd\u8981\u6b65\u9aa4\uff0c\u901a\u8fc7\u5bf9\u4f20\u8f93\u7684\u6570\u636e\u8fdb\u884c\u8ba4\u8bc1\uff0c\u786e\u4fdd\u6570\u636e\u7684\u771f\u5b9e\u6027\u548c\u5b8c\u6574\u6027\u3002\u5728\u7f16\u5199\u6570\u636e\u8ba4\u8bc1\u4ee3\u7801\u65f6\uff0c\u53ef\u4ee5\u9009\u62e9\u5408\u9002\u7684\u8ba4\u8bc1\u7b97\u6cd5\u548c\u8ba4\u8bc1\u65b9\u5f0f\u3002\u4f8b\u5982\uff0c\u4f7f\u7528HMAC\u7b97\u6cd5\u5bf9\u6570\u636e\u8fdb\u884c\u8ba4\u8bc1\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import hmac<\/p>\nimport hashlib<\/p>\n
\u914d\u7f6e\u8ba4\u8bc1\u5bc6\u94a5<\/strong><\/h2>\nkey = b'Secret key'<\/p>\n
\u751f\u6210\u8ba4\u8bc1\u7801<\/strong><\/h2>\ndef generate_hmac(data):<\/p>\n
return hmac.new(key, data.encode('utf-8'), hashlib.sha256).hexdigest()<\/p>\n
\u9a8c\u8bc1\u8ba4\u8bc1\u7801<\/strong><\/h2>\ndef verify_hmac(data, hmac_code):<\/p>\n
return hmac.compare_digest(generate_hmac(data), hmac_code)<\/p>\n
data = "Hello, World!"<\/p>\n
hmac_code = generate_hmac(data)<\/p>\n
is_valid = verify_hmac(data, hmac_code)<\/p>\n
print("HMAC code:", hmac_code)<\/p>\n
print("Is valid:", is_valid)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u603b\u7ed3<\/p>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u642d\u5efa\u4e00\u4e2a\u5b8c\u6574\u7684\u7269\u8054\u7f51\u7cfb\u7edf\u3002\u4ece\u9009\u62e9\u786c\u4ef6\u3001\u914d\u7f6e\u7f51\u7edc\u3001\u9009\u62e9\u534f\u8bae\u3001\u7f16\u5199\u4ee3\u7801\u3001\u6570\u636e\u5904\u7406\u548c\u5b58\u50a8\uff0c\u5230\u5b9e\u73b0\u5b89\u5168\u6027\uff0c\u6bcf\u4e2a\u6b65\u9aa4\u90fd\u81f3\u5173\u91cd\u8981\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u7684\u9700\u6c42\u548c\u573a\u666f\uff0c\u7075\u6d3b\u9009\u62e9\u5408\u9002\u7684\u786c\u4ef6\u3001\u7f51\u7edc\u3001\u534f\u8bae\u548c\u7b97\u6cd5\uff0c\u786e\u4fdd\u7269\u8054\u7f51\u7cfb\u7edf\u7684\u9ad8\u6548\u3001\u53ef\u9760\u548c\u5b89\u5168\u8fd0\u884c\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n \u5982\u4f55\u4f7f\u7528Python\u8fde\u63a5\u7269\u8054\u7f51\u8bbe\u5907\uff1f<\/strong>
\u5728\u7269\u8054\u7f51\u9879\u76ee\u4e2d\uff0cPython\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u5e93\u548c\u534f\u8bae\u4e0e\u8bbe\u5907\u8fdb\u884c\u8fde\u63a5\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528paho-mqtt<\/code>\u5e93\u5b9e\u73b0MQTT\u534f\u8bae\u7684\u901a\u4fe1\uff0c\u8fd9\u79cd\u65b9\u5f0f\u9002\u5408\u9700\u8981\u4f4e\u5e26\u5bbd\u548c\u4f4e\u529f\u8017\u7684\u5e94\u7528\u3002\u6b64\u5916\uff0cPython\u7684requests<\/code>\u5e93\u4e5f\u53ef\u4ee5\u7528\u4e8eHTTP\u8bf7\u6c42\uff0c\u4f7f\u5f97\u4e0eRESTful API\u7684\u4ea4\u4e92\u53d8\u5f97\u66f4\u52a0\u7b80\u5355\u3002\u901a\u8fc7\u8fd9\u4e9b\u5de5\u5177\uff0c\u7528\u6237\u53ef\u4ee5\u8f7b\u677e\u5730\u8fde\u63a5\u548c\u7ba1\u7406\u5404\u79cd\u7269\u8054\u7f51\u8bbe\u5907\u3002<\/p>\n\u5728\u7269\u8054\u7f51\u9879\u76ee\u4e2d\uff0cPython\u7684\u4f18\u52bf\u662f\u4ec0\u4e48\uff1f<\/strong>
Python\u56e0\u5176\u7b80\u6d01\u7684\u8bed\u6cd5\u548c\u5f3a\u5927\u7684\u5e93\u652f\u6301\uff0c\u6210\u4e3a\u7269\u8054\u7f51\u5f00\u53d1\u7684\u70ed\u95e8\u9009\u62e9\u3002\u5b83\u62e5\u6709\u4e30\u5bcc\u7684\u793e\u533a\u8d44\u6e90\u548c\u6587\u6863\uff0c\u4f7f\u5f97\u5b66\u4e60\u548c\u5f00\u53d1\u66f4\u52a0\u9ad8\u6548\u3002\u6b64\u5916\uff0cPython\u7684\u8de8\u5e73\u53f0\u7279\u6027\u4f7f\u5f97\u5f00\u53d1\u8005\u53ef\u4ee5\u5728\u4e0d\u540c\u7684\u64cd\u4f5c\u7cfb\u7edf\u4e0a\u8fdb\u884c\u5f00\u53d1\u548c\u90e8\u7f72\uff0c\u63d0\u5347\u4e86\u9879\u76ee\u7684\u7075\u6d3b\u6027\u3002<\/p>\n\u5982\u4f55\u5728Python\u4e2d\u5904\u7406\u7269\u8054\u7f51\u6570\u636e\uff1f<\/strong>
\u5728\u7269\u8054\u7f51\u5e94\u7528\u4e2d\uff0c\u6570\u636e\u5904\u7406\u81f3\u5173\u91cd\u8981\u3002Python\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u8fdb\u884c\u6570\u636e\u5206\u6790\u548c\u5904\u7406\uff0c\u8fd9\u4e2a\u5e93\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\uff0c\u53ef\u4ee5\u5e2e\u52a9\u5f00\u53d1\u8005\u5bf9\u4f20\u611f\u5668\u6570\u636e\u8fdb\u884c\u6e05\u6d17\u3001\u8f6c\u6362\u548c\u53ef\u89c6\u5316\u3002\u6b64\u5916\uff0c\u4f7f\u7528matplotlib<\/code>\u548cseaborn<\/code>\u7b49\u53ef\u89c6\u5316\u5e93\uff0c\u53ef\u4ee5\u5c06\u5904\u7406\u540e\u7684\u6570\u636e\u56fe\u5f62\u5316\uff0c\u4fbf\u4e8e\u7406\u89e3\u548c\u5206\u6790\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u642d\u5efa\u7269\u8054\u7f51\u7684\u6b65\u9aa4\u5305\u62ec\u9009\u62e9\u786c\u4ef6\u3001\u914d\u7f6e\u7f51\u7edc\u3001\u9009\u62e9\u534f\u8bae\u3001\u7f16\u5199\u4ee3\u7801\u3001\u6570\u636e\u5904\u7406\u548c\u5b58\u50a8\u3001\u5b9e\u73b0\u5b89\u5168\u6027\u3002\u4e0b\u9762\uff0c\u6211\u5c06 […]","protected":false},"author":3,"featured_media":1152985,"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\/1152973"}],"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=1152973"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1152973\/revisions"}],"predecessor-version":[{"id":1152993,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1152973\/revisions\/1152993"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1152985"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1152973"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1152973"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1152973"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
![\"python\u5982\u4f55\u642d\u5efa\u7269\u8054\u7f51\"](\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25182837\/502cc4d8-eaf4-4add-b6bd-d77165e54941.webp\")
<\/p>\n