{"id":1132265,"date":"2025-01-08T20:55:38","date_gmt":"2025-01-08T12:55:38","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1132265.html"},"modified":"2025-01-08T20:55:41","modified_gmt":"2025-01-08T12:55:41","slug":"%e5%a6%82%e4%bd%95%e8%af%b4%e6%9c%8dpython%e6%98%af%e4%b8%96%e7%95%8c%e4%b8%8a%e6%9c%80%e5%a5%bd%e7%9a%84%e8%af%ad%e8%a8%80","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1132265.html","title":{"rendered":"\u5982\u4f55\u8bf4\u670dpython\u662f\u4e16\u754c\u4e0a\u6700\u597d\u7684\u8bed\u8a00"},"content":{"rendered":"

\"\u5982\u4f55\u8bf4\u670dpython\u662f\u4e16\u754c\u4e0a\u6700\u597d\u7684\u8bed\u8a00\"<\/p>\n

\u5982\u4f55\u8bf4\u670dPython\u662f\u4e16\u754c\u4e0a\u6700\u597d\u7684\u8bed\u8a00<\/strong><\/p>\n<\/p>\n

Python\u88ab\u8a89\u4e3a\u4e16\u754c\u4e0a\u6700\u597d\u7684\u7f16\u7a0b\u8bed\u8a00\u6709\u591a\u79cd\u539f\u56e0\uff0c\u4e3b\u8981\u5305\u62ec\u6613\u5b66\u6613\u7528\u3001\u4e30\u5bcc\u7684\u5e93\u548c\u6846\u67b6\u3001\u5f3a\u5927\u7684\u793e\u533a\u652f\u6301\u3001\u8de8\u5e73\u53f0\u517c\u5bb9\u6027\u3001\u5f3a\u5927\u7684\u7b2c\u4e09\u65b9\u6a21\u5757\u652f\u6301<\/strong>\u3002\u5176\u4e2d\uff0c\u6613\u5b66\u6613\u7528<\/strong>\u8fd9\u4e00\u70b9\u5c24\u5176\u91cd\u8981\uff0c\u56e0\u4e3a\u5b83\u4f7fPython\u6210\u4e3a\u5165\u95e8\u7f16\u7a0b\u7684\u9996\u9009\u8bed\u8a00\uff0c\u5e76\u4e14\u4e5f\u4f7f\u5f97\u8bb8\u591a\u6709\u7ecf\u9a8c\u7684\u5f00\u53d1\u8005\u613f\u610f\u7ee7\u7eed\u4f7f\u7528Python\u3002<\/p>\n<\/p>\n

Python\u7684\u8bed\u6cd5\u8bbe\u8ba1\u7b80\u6d01\u4e14\u76f4\u89c2\uff0c\u7c7b\u4f3c\u4e8e\u4eba\u7c7b\u7684\u81ea\u7136\u8bed\u8a00\uff0c\u8fd9\u4f7f\u5f97\u65b0\u624b\u5f88\u5bb9\u6613\u4e0a\u624b\u3002\u65e0\u8bba\u662f\u53d8\u91cf\u58f0\u660e\u3001\u51fd\u6570\u5b9a\u4e49\u8fd8\u662f\u63a7\u5236\u7ed3\u6784\uff0cPython\u7684\u8bbe\u8ba1\u90fd\u5c3d\u91cf\u51cf\u5c11\u4e86\u7f16\u7801\u7684\u590d\u6742\u6027\uff0c\u51cf\u5c11\u4e86\u51fa\u9519\u7684\u53ef\u80fd\u6027\u3002\u8fd9\u79cd\u8bbe\u8ba1\u54f2\u5b66\u4e0d\u4ec5\u63d0\u9ad8\u4e86\u5f00\u53d1\u6548\u7387\uff0c\u8fd8\u4f7f\u5f97\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u53ef\u7ef4\u62a4\u6027\u5927\u5927\u589e\u5f3a\u3002<\/p>\n<\/p>\n

\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u4ece\u591a\u4e2a\u89d2\u5ea6\u6df1\u5165\u63a2\u8ba8Python\u7684\u4f18\u70b9\u548c\u5176\u5728\u5404\u4e2a\u9886\u57df\u4e2d\u7684\u5e94\u7528\uff0c\u8fdb\u4e00\u6b65\u8bc1\u660e\u5176\u4e3a\u4f55\u88ab\u5e7f\u6cdb\u8ba4\u4e3a\u662f\u4e16\u754c\u4e0a\u6700\u597d\u7684\u7f16\u7a0b\u8bed\u8a00\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u6613\u5b66\u6613\u7528<\/h3>\n<\/p>\n

Python\u7684\u8bed\u6cd5\u975e\u5e38\u7b80\u5355\u548c\u76f4\u89c2\uff0c\u8fd9\u4f7f\u5f97\u5b83\u6210\u4e3a\u4e86\u5f88\u591a\u521d\u5b66\u8005\u7684\u9996\u9009\u8bed\u8a00\u3002Python\u4ee3\u7801\u901a\u5e38\u6bd4\u5176\u4ed6\u7f16\u7a0b\u8bed\u8a00\u7684\u4ee3\u7801\u66f4\u77ed\u3001\u66f4\u5bb9\u6613\u7406\u89e3<\/strong>\u3002\u4f8b\u5982\uff0c\u4e0eC++\u6216Java\u4e0d\u540c\uff0cPython\u6ca1\u6709\u590d\u6742\u7684\u8bed\u6cd5\u89c4\u5219\uff0c\u4e14\u5bf9\u7f29\u8fdb\u6709\u4e25\u683c\u8981\u6c42\uff0c\u8fd9\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u5f3a\u5236\u4e86\u4ee3\u7801\u7684\u6574\u6d01\u3002<\/p>\n<\/p>\n

1. \u8bed\u6cd5\u7b80\u6d01<\/h4>\n<\/p>\n

Python\u7684\u8bed\u6cd5\u8bbe\u8ba1\u521d\u8877\u5c31\u662f\u7b80\u6d01\u548c\u6e05\u6670\uff0c\u8fd9\u4f7f\u5f97\u5b83\u975e\u5e38\u9002\u5408\u5feb\u901f\u5f00\u53d1\u548c\u539f\u578b\u8bbe\u8ba1\u3002\u5176\u4ee3\u7801\u7ed3\u6784\u6e05\u6670\u3001\u81ea\u7136\uff0c\u63a5\u8fd1\u4e8e\u4f2a\u4ee3\u7801\u3002\u4f8b\u5982\uff0c\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684Python\u51fd\u6570\uff1a<\/p>\n<\/p>\n

def greet(name):<\/p>\n
    return f"Hello, {name}!"<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u4e2a\u51fd\u6570\u7684\u76ee\u7684\u975e\u5e38\u660e\u786e\uff0c\u5373\u63a5\u6536\u4e00\u4e2a\u540d\u5b57\u5e76\u8fd4\u56de\u4e00\u4e2a\u95ee\u5019\u5b57\u7b26\u4e32\u3002\u4e0e\u5176\u4ed6\u8bed\u8a00\u76f8\u6bd4\uff0cPython\u7684\u4ee3\u7801\u66f4\u52a0\u7b80\u6d01\u660e\u4e86\u3002<\/p>\n<\/p>\n
2. \u53ef\u8bfb\u6027\u5f3a<\/h4>\n<\/p>\n
Python\u7684\u4ee3\u7801\u53ef\u8bfb\u6027\u975e\u5e38\u9ad8\uff0c\u8fd9\u5bf9\u56e2\u961f\u5408\u4f5c\u5c24\u4e3a\u91cd\u8981\u3002\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u9ad8\u610f\u5473\u7740\u7ef4\u62a4\u548c\u6269\u5c55\u90fd\u66f4\u52a0\u65b9\u4fbf\u3002Python\u7684\u8bbe\u8ba1\u54f2\u5b66\u201c\u4f18\u96c5\u201d\u3001\u201c\u660e\u786e\u201d\u3001\u201c\u7b80\u5355\u201d\u4f7f\u5f97Python\u4ee3\u7801\u66f4\u5bb9\u6613\u7406\u89e3\u548c\u5b66\u4e60\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4e30\u5bcc\u7684\u5e93\u548c\u6846\u67b6<\/h3>\n<\/p>\n
Python\u62e5\u6709\u4e30\u5bcc\u7684\u6807\u51c6\u5e93\u548c\u7b2c\u4e09\u65b9\u5e93\uff0c\u8fd9\u4f7f\u5f97\u5b83\u5728\u591a\u4e2a\u9886\u57df\u90fd\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\u3002\u65e0\u8bba\u662f\u79d1\u5b66\u8ba1\u7b97\u3001\u6570\u636e\u5206\u6790\u3001\u4eba\u5de5\u667a\u80fd<\/a>\uff0c\u8fd8\u662fWeb\u5f00\u53d1\uff0cPython\u90fd\u6709\u76f8\u5e94\u7684\u5e93\u548c\u6846\u67b6<\/strong>\u3002<\/p>\n<\/p>\n
1. \u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5206\u6790<\/h4>\n<\/p>\n
\u5728\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5206\u6790\u9886\u57df\uff0cPython\u7684\u5e93\u5982NumPy\u3001Pandas\u548cSciPy\u975e\u5e38\u5f3a\u5927\u3002NumPy\u63d0\u4f9b\u4e86\u652f\u6301\u5927\u89c4\u6a21\u591a\u7ef4\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\u7684\u529f\u80fd\uff0cPandas\u5219\u662f\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u7684\u5229\u5668\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
array = np.array([1, 2, 3, 4, 5])<\/p>\n
print(array.mean())  # \u8f93\u51fa\uff1a3.0<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u7b80\u6d01\u7684\u4ee3\u7801\u793a\u4f8b\u5c55\u793a\u4e86Python\u5728\u79d1\u5b66\u8ba1\u7b97\u9886\u57df\u7684\u5f3a\u5927\u529f\u80fd\u3002<\/p>\n<\/p>\n
2. \u4eba\u5de5\u667a\u80fd\u548c\u673a\u5668\u5b66\u4e60<\/a><\/h4>\n<\/p>\n
Python\u5728\u4eba\u5de5\u667a\u80fd\u548c\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u5e94\u7528\u975e\u5e38\u5e7f\u6cdb\u3002TensorFlow\u3001Keras\u3001PyTorch\u7b49\u6846\u67b6\u90fd\u57fa\u4e8ePython\uff0c\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6df1\u5ea6\u5b66\u4e60\u548c\u673a\u5668\u5b66\u4e60\u529f\u80fd\u3002<\/p>\n<\/p>\n
import tensorflow as tf<\/p>\n
model = tf.keras.models.Sequential([<\/p>\n
    tf.keras.layers.Dense(128, activation='relu'),<\/p>\n
    tf.keras.layers.Dense(10, activation='softmax')<\/p>\n
])<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u6846\u67b6\u7684\u5b58\u5728\u4f7f\u5f97\u5f00\u53d1\u590d\u6742\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u53d8\u5f97\u975e\u5e38\u7b80\u4fbf\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u5f3a\u5927\u7684\u793e\u533a\u652f\u6301<\/h3>\n<\/p>\n
Python\u6709\u4e00\u4e2a\u975e\u5e38\u6d3b\u8dc3\u548c\u5e9e\u5927\u7684\u793e\u533a\uff0c\u8fd9\u610f\u5473\u7740\u65e0\u8bba\u9047\u5230\u4ec0\u4e48\u95ee\u9898\uff0c\u4f60\u90fd\u80fd\u5f88\u5feb\u627e\u5230\u7b54\u6848<\/strong>\u3002\u6709\u5927\u91cf\u7684\u5728\u7ebf\u8d44\u6e90\u3001\u6559\u7a0b\u3001\u8bba\u575b\u548c\u6587\u6863\u4f9b\u5f00\u53d1\u8005\u53c2\u8003\u3002<\/p>\n<\/p>\n
1. \u4e30\u5bcc\u7684\u5728\u7ebf\u8d44\u6e90<\/h4>\n<\/p>\n
Python\u7684\u5b98\u65b9\u6587\u6863\u975e\u5e38\u8be6\u5c3d\uff0c\u6db5\u76d6\u4e86\u4ece\u57fa\u7840\u8bed\u6cd5\u5230\u9ad8\u7ea7\u529f\u80fd\u7684\u5404\u4e2a\u65b9\u9762\u3002\u6b64\u5916\uff0c\u8fd8\u6709\u8bb8\u591a\u514d\u8d39\u7684\u5728\u7ebf\u6559\u7a0b\u548c\u4e66\u7c4d\uff0c\u8fd9\u4f7f\u5f97\u5b66\u4e60Python\u53d8\u5f97\u66f4\u52a0\u5bb9\u6613\u3002<\/p>\n<\/p>\n
2. \u6d3b\u8dc3\u7684\u5f00\u53d1\u8005\u793e\u533a<\/h4>\n<\/p>\n
Python\u793e\u533a\u975e\u5e38\u6d3b\u8dc3\uff0c\u7ecf\u5e38\u4e3e\u529e\u5404\u79cd\u4f1a\u8bae\u548c\u7814\u8ba8\u4f1a\uff0c\u4f8b\u5982PyCon\u3002\u8fd9\u4e9b\u6d3b\u52a8\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u4e86\u4e00\u4e2a\u4ea4\u6d41\u548c\u5b66\u4e60\u7684\u5e73\u53f0\uff0c\u4fc3\u8fdb\u4e86Python\u751f\u6001\u7cfb\u7edf\u7684\u5065\u5eb7\u53d1\u5c55\u3002<\/p>\n<\/p>\n
\u56db\u3001\u8de8\u5e73\u53f0\u517c\u5bb9\u6027<\/h3>\n<\/p>\n
Python\u662f\u8de8\u5e73\u53f0\u7684\uff0c\u8fd9\u610f\u5473\u7740\u4f60\u53ef\u4ee5\u5728\u4e0d\u540c\u7684\u64cd\u4f5c\u7cfb\u7edf\u4e0a\u8fd0\u884cPython\u7a0b\u5e8f\u3002\u65e0\u8bba\u662fWindows\u3001macOS\u8fd8\u662fLinux\uff0cPython\u90fd\u80fd\u65e0\u7f1d\u8fd0\u884c<\/strong>\u3002<\/p>\n<\/p>\n
1. \u4e00\u6b21\u7f16\u5199\uff0c\u5230\u5904\u8fd0\u884c<\/h4>\n<\/p>\n
Python\u7684\u8de8\u5e73\u53f0\u7279\u6027\u4f7f\u5f97\u5f00\u53d1\u8005\u53ef\u4ee5\u5728\u4e00\u4e2a\u5e73\u53f0\u4e0a\u7f16\u5199\u4ee3\u7801\uff0c\u7136\u540e\u5728\u591a\u4e2a\u5e73\u53f0\u4e0a\u8fd0\u884c\u3002\u8fd9\u5927\u5927\u964d\u4f4e\u4e86\u5f00\u53d1\u548c\u7ef4\u62a4\u7684\u6210\u672c\u3002<\/p>\n<\/p>\n
2. \u4e30\u5bcc\u7684\u5de5\u5177\u652f\u6301<\/h4>\n<\/p>\n
Python\u6709\u8bb8\u591a\u5de5\u5177\u548c\u96c6\u6210\u5f00\u53d1\u73af\u5883\uff08IDEs\uff09\uff0c\u5982PyCharm\u3001VS Code\u548cJupyter Notebook\uff0c\u8fd9\u4e9b\u5de5\u5177\u53ef\u4ee5\u5728\u4e0d\u540c\u5e73\u53f0\u4e0a\u65e0\u7f1d\u8fd0\u884c\uff0c\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u5f00\u53d1\u652f\u6301\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u5f3a\u5927\u7684\u7b2c\u4e09\u65b9\u6a21\u5757\u652f\u6301<\/h3>\n<\/p>\n
\u9664\u4e86\u6807\u51c6\u5e93\uff0cPython\u8fd8\u6709\u5927\u91cf\u7684\u7b2c\u4e09\u65b9\u6a21\u5757\u53ef\u4f9b\u4f7f\u7528\u3002\u8fd9\u4e9b\u6a21\u5757\u6db5\u76d6\u4e86\u4eceWeb\u5f00\u53d1\u3001\u6570\u636e\u5e93\u64cd\u4f5c\u5230\u7f51\u7edc\u7f16\u7a0b\u3001\u56fe\u50cf\u5904\u7406\u7b49\u5404\u4e2a\u9886\u57df<\/strong>\u3002<\/p>\n<\/p>\n
1. Web\u5f00\u53d1\u6846\u67b6<\/h4>\n<\/p>\n
Python\u6709\u51e0\u4e2a\u975e\u5e38\u6d41\u884c\u7684Web\u5f00\u53d1\u6846\u67b6\uff0c\u5982Django\u548cFlask\u3002Django\u662f\u4e00\u4e2a\u9ad8\u5c42\u6b21\u7684Web\u6846\u67b6\uff0c\u9f13\u52b1\u5feb\u901f\u5f00\u53d1\u548c\u7b80\u5355\u3001\u5b9e\u7528\u7684\u8bbe\u8ba1\u3002Flask\u662f\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u7684Web\u6846\u67b6\uff0c\u975e\u5e38\u9002\u5408\u5c0f\u578b\u9879\u76ee\u548c\u5fae\u670d\u52a1\u3002<\/p>\n<\/p>\n
from flask import Flask<\/p>\n
app = Flask(__name__)<\/p>\n
@app.route('\/')<\/p>\n
def hello():<\/p>\n
    return "Hello, World!"<\/p>\n
if __name__ == '__mAI<\/a>n__':<\/p>\n
    app.run(debug=True)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u7b80\u6d01\u7684\u4ee3\u7801\u5c55\u793a\u4e86Flask\u7684\u5f3a\u5927\u548c\u6613\u7528\u6027\u3002<\/p>\n<\/p>\n
2. \u6570\u636e\u5e93\u64cd\u4f5c<\/h4>\n<\/p>\n
Python\u7684\u6570\u636e\u5e93\u64cd\u4f5c\u975e\u5e38\u65b9\u4fbf\uff0c\u6709\u8bb8\u591a\u5e93\u5982SQLAlchemy\u3001Peewee\u7b49\u53ef\u4ee5\u4f7f\u7528\u3002\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86ORM\uff08\u5bf9\u8c61\u5173\u7cfb\u6620\u5c04\uff09\u529f\u80fd\uff0c\u4f7f\u5f97\u6570\u636e\u5e93\u64cd\u4f5c\u66f4\u52a0\u76f4\u89c2\u548c\u7b80\u6d01\u3002<\/p>\n<\/p>\n
from sqlalchemy import create_engine, Column, Integer, String, Sequence<\/p>\n
from sqlalchemy.ext.declarative import declarative_base<\/p>\n
from sqlalchemy.orm import sessionmaker<\/p>\n
Base = declarative_base()<\/p>\n
class User(Base):<\/p>\n
    __tablename__ = 'users'<\/p>\n
    id = Column(Integer, Sequence('user_id_seq'), primary_key=True)<\/p>\n
    name = Column(String(50))<\/p>\n
engine = create_engine('sqlite:\/\/\/:memory:')<\/p>\n
Base.metadata.create_all(engine)<\/p>\n
Session = sessionmaker(bind=engine)<\/p>\n
session = Session()<\/p>\n
new_user = User(name='John Doe')<\/p>\n
session.add(new_user)<\/p>\n
session.commit()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u4ee3\u7801\u793a\u4f8b\u5c55\u793a\u4e86SQLAlchemy\u7684\u5f3a\u5927\u529f\u80fd\u548c\u7b80\u6d01\u7684API\u3002<\/p>\n<\/p>\n
\u516d\u3001\u591a\u9886\u57df\u5e94\u7528<\/h3>\n<\/p>\n
Python\u5728\u591a\u4e2a\u9886\u57df\u90fd\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\uff0c\u5982Web\u5f00\u53d1\u3001\u6570\u636e\u79d1\u5b66\u3001\u4eba\u5de5\u667a\u80fd\u3001\u81ea\u52a8\u5316\u811a\u672c\u3001\u6e38\u620f\u5f00\u53d1\u7b49<\/strong>\u3002<\/p>\n<\/p>\n
1. Web\u5f00\u53d1<\/h4>\n<\/p>\n
\u5728Web\u5f00\u53d1\u9886\u57df\uff0cPython\u7684Django\u548cFlask\u6846\u67b6\u975e\u5e38\u6d41\u884c\u3002Django\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5b8c\u6574\u7684Web\u5f00\u53d1\u89e3\u51b3\u65b9\u6848\uff0c\u800cFlask\u5219\u662f\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u7684\u6846\u67b6\uff0c\u975e\u5e38\u9002\u5408\u5c0f\u578b\u9879\u76ee\u548c\u5fae\u670d\u52a1\u3002<\/p>\n<\/p>\n
2. \u6570\u636e\u79d1\u5b66<\/h4>\n<\/p>\n
\u5728\u6570\u636e\u79d1\u5b66\u9886\u57df\uff0cPython\u7684Pandas\u3001NumPy\u3001Matplotlib\u7b49\u5e93\u975e\u5e38\u5f3a\u5927\u3002\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u529f\u80fd\uff0c\u4f7f\u5f97Python\u6210\u4e3a\u6570\u636e\u79d1\u5b66\u5bb6\u7684\u9996\u9009\u8bed\u8a00\u3002<\/p>\n<\/p>\n
3. \u4eba\u5de5\u667a\u80fd<\/h4>\n<\/p>\n
\u5728\u4eba\u5de5\u667a\u80fd\u9886\u57df\uff0cPython\u7684TensorFlow\u3001Keras\u3001PyTorch\u7b49\u6846\u67b6\u975e\u5e38\u6d41\u884c\u3002\u8fd9\u4e9b\u6846\u67b6\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6df1\u5ea6\u5b66\u4e60\u548c\u673a\u5668\u5b66\u4e60\u529f\u80fd\uff0c\u4f7f\u5f97Python\u6210\u4e3aAI\u7814\u7a76\u548c\u5f00\u53d1\u7684\u4e3b\u6d41\u8bed\u8a00\u3002<\/p>\n<\/p>\n
4. \u81ea\u52a8\u5316\u811a\u672c<\/h4>\n<\/p>\n
Python\u7684\u7b80\u6d01\u8bed\u6cd5\u548c\u4e30\u5bcc\u7684\u6807\u51c6\u5e93\u4f7f\u5f97\u5b83\u975e\u5e38\u9002\u5408\u7f16\u5199\u81ea\u52a8\u5316\u811a\u672c\u3002\u65e0\u8bba\u662f\u6587\u4ef6\u64cd\u4f5c\u3001\u7f51\u7edc\u8bf7\u6c42\u8fd8\u662f\u7cfb\u7edf\u7ba1\u7406\uff0cPython\u90fd\u80fd\u8f7b\u677e\u80dc\u4efb\u3002<\/p>\n<\/p>\n
5. \u6e38\u620f\u5f00\u53d1<\/h4>\n<\/p>\n
\u5728\u6e38\u620f\u5f00\u53d1\u9886\u57df\uff0cPython\u7684Pygame\u5e93\u63d0\u4f9b\u4e86\u7b80\u5355\u6613\u7528\u7684API\uff0c\u4f7f\u5f97\u5f00\u53d12D\u6e38\u620f\u53d8\u5f97\u975e\u5e38\u65b9\u4fbf\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u672a\u6765\u524d\u666f<\/h3>\n<\/p>\n
Python\u7684\u672a\u6765\u524d\u666f\u975e\u5e38\u5149\u660e\u3002\u968f\u7740\u4eba\u5de5\u667a\u80fd\u3001\u6570\u636e\u79d1\u5b66\u548cWeb\u5f00\u53d1\u7684\u4e0d\u65ad\u53d1\u5c55\uff0cPython\u7684\u9700\u6c42\u53ea\u4f1a\u8d8a\u6765\u8d8a\u5927<\/strong>\u3002<\/p>\n<\/p>\n
1. \u4eba\u5de5\u667a\u80fd\u548c\u6570\u636e\u79d1\u5b66\u7684\u5d1b\u8d77<\/h4>\n<\/p>\n
\u968f\u7740\u4eba\u5de5\u667a\u80fd\u548c\u6570\u636e\u79d1\u5b66\u7684\u5feb\u901f\u53d1\u5c55\uff0cPython\u4f5c\u4e3a\u8fd9\u4e9b\u9886\u57df\u7684\u4e3b\u6d41\u8bed\u8a00\uff0c\u5176\u9700\u6c42\u4e5f\u5728\u4e0d\u65ad\u589e\u52a0\u3002\u65e0\u8bba\u662f\u5b66\u672f\u7814\u7a76\u8fd8\u662f\u5de5\u4e1a\u5e94\u7528\uff0cPython\u90fd\u5360\u636e\u4e86\u91cd\u8981\u5730\u4f4d\u3002<\/p>\n<\/p>\n
2. \u6559\u80b2\u9886\u57df\u7684\u5e94\u7528<\/h4>\n<\/p>\n
Python\u56e0\u5176\u7b80\u6d01\u6613\u5b66\u7684\u7279\u70b9\uff0c\u6210\u4e3a\u4e86\u8bb8\u591a\u5b66\u6821\u548c\u57f9\u8bad\u673a\u6784\u7684\u9996\u9009\u7f16\u7a0b\u8bed\u8a00\u3002\u8d8a\u6765\u8d8a\u591a\u7684\u5b66\u751f\u548c\u521d\u5b66\u8005\u9009\u62e9Python\u4f5c\u4e3a\u4ed6\u4eec\u7684\u7b2c\u4e00\u95e8\u7f16\u7a0b\u8bed\u8a00\uff0c\u8fd9\u5c06\u8fdb\u4e00\u6b65\u63a8\u52a8Python\u7684\u666e\u53ca\u3002<\/p>\n<\/p>\n
3. \u4e0d\u65ad\u53d1\u5c55\u7684\u751f\u6001\u7cfb\u7edf<\/h4>\n<\/p>\n
Python\u7684\u751f\u6001\u7cfb\u7edf\u975e\u5e38\u6d3b\u8dc3\uff0c\u65b0\u5e93\u548c\u6846\u67b6\u4e0d\u65ad\u6d8c\u73b0\uff0c\u8fd9\u4f7f\u5f97Python\u5728\u5404\u4e2a\u9886\u57df\u90fd\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\u3002\u65e0\u8bba\u662fWeb\u5f00\u53d1\u3001\u6570\u636e\u79d1\u5b66\u8fd8\u662f\u4eba\u5de5\u667a\u80fd\uff0cPython\u90fd\u6709\u76f8\u5e94\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n<\/p>\n
\u7efc\u4e0a\u6240\u8ff0\uff0cPython\u56e0\u5176\u6613\u5b66\u6613\u7528\u3001\u4e30\u5bcc\u7684\u5e93\u548c\u6846\u67b6\u3001\u5f3a\u5927\u7684\u793e\u533a\u652f\u6301\u3001\u8de8\u5e73\u53f0\u517c\u5bb9\u6027\u3001\u5f3a\u5927\u7684\u7b2c\u4e09\u65b9\u6a21\u5757\u652f\u6301<\/strong>\uff0c\u5728\u591a\u4e2a\u9886\u57df\u90fd\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\uff0c\u5177\u6709\u975e\u5e38\u5149\u660e\u7684\u672a\u6765\u524d\u666f\u3002\u8fd9\u4e9b\u4f18\u70b9\u4f7f\u5f97Python\u88ab\u5e7f\u6cdb\u8ba4\u4e3a\u662f\u4e16\u754c\u4e0a\u6700\u597d\u7684\u7f16\u7a0b\u8bed\u8a00\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u4e3a\u4ec0\u4e48Python\u88ab\u8ba4\u4e3a\u662f\u521d\u5b66\u8005\u6700\u53cb\u597d\u7684\u7f16\u7a0b\u8bed\u8a00\uff1f<\/strong>
Python\u7684\u8bed\u6cd5\u7b80\u6d01\u660e\u4e86\uff0c\u63a5\u8fd1\u4e8e\u81ea\u7136\u8bed\u8a00\uff0c\u4f7f\u5f97\u521d\u5b66\u8005\u80fd\u591f\u66f4\u5feb\u5730\u7406\u89e3\u548c\u4e0a\u624b\u3002\u4e30\u5bcc\u7684\u6587\u6863\u548c\u793e\u533a\u652f\u6301\u4e5f\u4e3a\u65b0\u624b\u63d0\u4f9b\u4e86\u5927\u91cf\u7684\u5b66\u4e60\u8d44\u6e90\u3002\u6b64\u5916\uff0cPython\u5f3a\u5927\u7684\u5e93\u548c\u6846\u67b6\uff0c\u8ba9\u521d\u5b66\u8005\u53ef\u4ee5\u901a\u8fc7\u5b9e\u9645\u9879\u76ee\u8fc5\u901f\u770b\u5230\u6210\u6548\uff0c\u589e\u5f3a\u5b66\u4e60\u7684\u52a8\u529b\u3002<\/p>\n
Python\u5728\u6570\u636e\u79d1\u5b66\u548c\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u4f18\u52bf\u662f\u4ec0\u4e48\uff1f<\/strong>
Python\u62e5\u6709\u4f17\u591a\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u5e93\uff0c\u5982Pandas\u3001NumPy\u548cSciPy\uff0c\u6781\u5927\u5730\u7b80\u5316\u4e86\u6570\u636e\u64cd\u4f5c\u7684\u590d\u6742\u6027\u3002\u540c\u65f6\uff0cTensorFlow\u3001Keras\u7b49\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u7684\u51fa\u73b0\uff0c\u4f7f\u5f97Python\u6210\u4e3a\u6570\u636e\u79d1\u5b66\u548c\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u9996\u9009\u8bed\u8a00\u3002\u5176\u6d3b\u8dc3\u7684\u793e\u533a\u4e5f\u4e0d\u65ad\u63a8\u52a8\u7740\u8fd9\u4e9b\u9886\u57df\u7684\u6280\u672f\u8fdb\u6b65\u3002<\/p>\n
\u4f7f\u7528Python\u5f00\u53d1\u9879\u76ee\u65f6\uff0c\u5982\u4f55\u63d0\u9ad8\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u7ef4\u62a4\u6027\uff1f<\/strong>
\u4e3a\u4e86\u63d0\u9ad8\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u7ef4\u62a4\u6027\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u9075\u5faaPEP 8\u7f16\u7801\u89c4\u8303\uff0c\u4fdd\u6301\u4ee3\u7801\u98ce\u683c\u7684\u4e00\u81f4\u6027\u3002\u540c\u65f6\uff0c\u4f7f\u7528\u9002\u5f53\u7684\u6ce8\u91ca\u548c\u6587\u6863\u5b57\u7b26\u4e32\u53ef\u4ee5\u5e2e\u52a9\u5176\u4ed6\u5f00\u53d1\u8005\u7406\u89e3\u4ee3\u7801\u903b\u8f91\u3002\u5c06\u4ee3\u7801\u6a21\u5757\u5316\uff0c\u91c7\u7528\u51fd\u6570\u548c\u7c7b\u7684\u65b9\u5f0f\u7ec4\u7ec7\u4ee3\u7801\uff0c\u4e5f\u6709\u52a9\u4e8e\u63d0\u9ad8\u9879\u76ee\u7684\u53ef\u7ef4\u62a4\u6027\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5982\u4f55\u8bf4\u670dPython\u662f\u4e16\u754c\u4e0a\u6700\u597d\u7684\u8bed\u8a00 Python\u88ab\u8a89\u4e3a\u4e16\u754c\u4e0a\u6700\u597d\u7684\u7f16\u7a0b\u8bed\u8a00\u6709\u591a\u79cd\u539f\u56e0\uff0c\u4e3b\u8981\u5305\u62ec\u6613\u5b66\u6613\u7528\u3001\u4e30 […]","protected":false},"author":3,"featured_media":1132277,"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\/1132265"}],"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=1132265"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1132265\/revisions"}],"predecessor-version":[{"id":1132279,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1132265\/revisions\/1132279"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1132277"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1132265"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1132265"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1132265"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}