\u5f02\u6b65\u7f16\u7a0b<\/p>\nPython\u652f\u6301\u5f02\u6b65\u7f16\u7a0b\uff0c\u53ef\u4ee5\u901a\u8fc7asyncio\u5e93\u5b9e\u73b0\u5e76\u53d1\u4efb\u52a1\uff0c\u63d0\u9ad8\u7a0b\u5e8f\u7684\u6267\u884c\u6548\u7387\u3002\u5f02\u6b65\u7f16\u7a0b\u7684\u6838\u5fc3\u6982\u5ff5\u5305\u62ec\u534f\u7a0b\u3001\u4e8b\u4ef6\u5faa\u73af\u3001\u4efb\u52a1\u7b49\u3002<\/li>\n<\/p>\n<\/ol>\n
import asyncio<\/p>\nasync def say_hello():<\/p>\n
print("Hello")<\/p>\n
await asyncio.sleep(1)<\/p>\n
print("World")<\/p>\n
async def main():<\/p>\n
await asyncio.gather(say_hello(), say_hello())<\/p>\n
asyncio.run(main())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\n- \u6570\u636e\u79d1\u5b66\u5e93<\/p>\n
Python\u5728\u6570\u636e\u79d1\u5b66\u9886\u57df\u6709\u7740\u5e7f\u6cdb\u7684\u5e94\u7528\uff0c\u5e38\u7528\u7684\u6570\u636e\u79d1\u5b66\u5e93\u5305\u62ecNumPy\u3001Pandas\u3001Matplotlib\u3001Scikit-learn\u7b49\u3002\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u6570\u636e\u5904\u7406\u3001\u5206\u6790\u548c\u53ef\u89c6\u5316\u5de5\u5177\u3002<\/li>\n<\/p>\n<\/ol>\n
import numpy as np<\/p>\nimport pandas as pd<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
from sklearn.linear_model import LinearRegression<\/p>\n
NumPy\u793a\u4f8b<\/strong><\/h2>\narray = np.array([1, 2, 3, 4, 5])<\/p>\n
print("\u6570\u7ec4\u5747\u503c:", np.mean(array))<\/p>\n
Pandas\u793a\u4f8b<\/strong><\/h2>\ndata = {'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35]}<\/p>\n
df = pd.DataFrame(data)<\/p>\n
print("\u6570\u636e\u6846:\\n", df)<\/p>\n
Matplotlib\u793a\u4f8b<\/strong><\/h2>\nplt.plot([1, 2, 3], [4, 5, 6])<\/p>\n
plt.title("\u7b80\u5355\u6298\u7ebf\u56fe")<\/p>\n
plt.show()<\/p>\n
Scikit-learn\u793a\u4f8b<\/strong><\/h2>\nX = np.array([[1], [2], [3], [4], [5]])<\/p>\n
y = np.array([2, 3, 4, 5, 6])<\/p>\n
model = LinearRegression().fit(X, y)<\/p>\n
print("\u7ebf\u6027\u56de\u5f52\u9884\u6d4b:", model.predict(np.array([[6]])))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\n- Web\u5f00\u53d1\u6846\u67b6<\/p>\n
Python\u5728Web\u5f00\u53d1\u9886\u57df\u4e5f\u6709\u7740\u5e7f\u6cdb\u7684\u5e94\u7528\uff0c\u5e38\u7528\u7684Web\u5f00\u53d1\u6846\u67b6\u5305\u62ecFlask\u548cDjango\u3002Flask\u662f\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u7684Web\u6846\u67b6\uff0c\u9002\u5408\u5f00\u53d1\u5c0f\u578b\u9879\u76ee\uff1bDjango\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684Web\u6846\u67b6\uff0c\u9002\u5408\u5f00\u53d1\u5927\u578b\u9879\u76ee\u3002<\/li>\n<\/p>\n<\/ol>\n
# Flask\u793a\u4f8b<\/p>\nfrom flask import Flask, jsonify<\/p>\n
app = Flask(__name__)<\/p>\n
@app.route('\/')<\/p>\n
def home():<\/p>\n
return "Hello, Flask!"<\/p>\n
@app.route('\/api\/data')<\/p>\n
def get_data():<\/p>\n
data = {'message': 'Hello, API!'}<\/p>\n
return jsonify(data)<\/p>\n
if __name__ == '__main__':<\/p>\n
app.run(debug=True)<\/p>\n
Django\u793a\u4f8b<\/strong><\/h2>\n\u521b\u5efaDjango\u9879\u76ee\u548c\u5e94\u7528<\/strong><\/h2>\ndjango-admin startproject myproject<\/strong><\/h2>\ncd myproject<\/strong><\/h2>\npython manage.py startapp myapp<\/strong><\/h2>\n\u7f16\u8f91myapp\/views.py<\/strong><\/h2>\nfrom django.http import HttpResponse<\/p>\n
def home(request):<\/p>\n
return HttpResponse("Hello, Django!")<\/p>\n
\u7f16\u8f91myproject\/urls.py<\/strong><\/h2>\nfrom django.contrib import admin<\/p>\n
from django.urls import path<\/p>\n
from myapp import views<\/p>\n
urlpatterns = [<\/p>\n
path('admin\/', admin.site.urls),<\/p>\n
path('', views.home),<\/p>\n
]<\/p>\n
\u542f\u52a8Django\u5f00\u53d1\u670d\u52a1\u5668<\/strong><\/h2>\npython manage.py runserver<\/strong><\/h2>\n<\/code><\/pre>\n<\/p>\n
\u4e5d\u3001\u6301\u7eed\u5b66\u4e60\u548c\u63d0\u5347<\/p>\n<\/p>\n
\u5b66\u4e60\u7f16\u7a0b\u662f\u4e00\u4e2a\u6301\u7eed\u7684\u8fc7\u7a0b\uff0c\u9700\u8981\u4e0d\u65ad\u5730\u5b66\u4e60\u548c\u5b9e\u8df5\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u6301\u7eed\u5b66\u4e60\u548c\u63d0\u5347\u7684\u5efa\u8bae\uff1a<\/p>\n<\/p>\n
\n- \n
\u9605\u8bfb\u7f16\u7a0b\u4e66\u7c4d<\/p>\n
\u9605\u8bfb\u7f16\u7a0b\u4e66\u7c4d\u662f\u6df1\u5165\u5b66\u4e60\u548c\u7406\u89e3\u7f16\u7a0b\u6982\u5ff5\u7684\u6709\u6548\u65b9\u5f0f\u3002\u63a8\u8350\u4e00\u4e9b\u7ecf\u5178\u7684Python\u4e66\u7c4d\uff0c\u5982\u300aPython\u7f16\u7a0b\uff1a\u4ece\u5165\u95e8\u5230\u5b9e\u8df5\u300b\u3001\u300a\u6d41\u7545\u7684Python\u300b\u3001\u300aPython\u7f16\u7a0b\u5feb\u901f\u4e0a\u624b\uff1a\u8ba9\u7e41\u7410\u5de5\u4f5c\u81ea\u52a8\u5316\u300b\u7b49\u3002<\/p>\n<\/p>\n<\/li>\n
- \n
\u53c2\u4e0e\u5f00\u6e90\u9879\u76ee<\/p>\n
\u53c2\u4e0e\u5f00\u6e90\u9879\u76ee\u662f\u63d0\u9ad8\u7f16\u7a0b\u6280\u80fd\u548c\u79ef\u7d2f\u5b9e\u9645\u7ecf\u9a8c\u7684\u597d\u65b9\u6cd5\u3002\u901a\u8fc7\u53c2\u4e0e\u5f00\u6e90\u9879\u76ee\uff0c\u521d\u5b66\u8005\u53ef\u4ee5\u5b66\u4e60\u4ed6\u4eba\u7684\u4ee3\u7801\uff0c\u4e86\u89e3\u9879\u76ee\u7684\u5f00\u53d1\u6d41\u7a0b\u548c\u6700\u4f73\u5b9e\u8df5\u3002<\/p>\n<\/p>\n<\/li>\n
- \n
\u53c2\u52a0\u7f16\u7a0b\u7ade\u8d5b<\/p>\n
\u53c2\u52a0\u7f16\u7a0b\u7ade\u8d5b\u53ef\u4ee5\u953b\u70bc\u7f16\u7a0b\u80fd\u529b\u548c\u95ee\u9898\u89e3\u51b3\u80fd\u529b\u3002\u8bb8\u591a\u5728\u7ebf\u5e73\u53f0\u63d0\u4f9b\u7f16\u7a0b\u7ade\u8d5b\uff0c\u5982LeetCode\u3001HackerRank\u3001Codeforces\u7b49\u3002\u901a\u8fc7\u53c2\u52a0\u7ade\u8d5b\uff0c\u521d\u5b66\u8005\u53ef\u4ee5\u63a5\u89e6\u5230\u5404\u79cd\u7f16\u7a0b\u6311\u6218\uff0c\u63d0\u9ad8\u7f16\u7a0b\u6c34\u5e73\u3002<\/p>\n<\/p>\n<\/li>\n
- \n
\u5199\u535a\u5ba2\u548c\u5206\u4eab\u7ecf\u9a8c<\/p>\n
\u5199\u535a\u5ba2\u548c\u5206\u4eab\u7f16\u7a0b\u7ecf\u9a8c\u662f\u5de9\u56fa\u77e5\u8bc6\u548c\u5e2e\u52a9\u4ed6\u4eba\u7684\u597d\u65b9\u6cd5\u3002\u901a\u8fc7\u5199\u535a\u5ba2\uff0c\u521d\u5b66\u8005\u53ef\u4ee5\u603b\u7ed3\u81ea\u5df1\u7684\u5b66\u4e60\u6210\u679c\uff0c\u8bb0\u5f55\u89e3\u51b3\u95ee\u9898\u7684\u8fc7\u7a0b\uff0c\u540c\u65f6\u4e5f\u80fd\u83b7\u5f97\u4ed6\u4eba\u7684\u53cd\u9988\u548c\u5efa\u8bae\u3002<\/p>\n<\/p>\n<\/li>\n
- \n
\u5b66\u4e60\u5176\u4ed6\u7f16\u7a0b\u8bed\u8a00<\/p>\n
\u5b66\u4e60\u5176\u4ed6\u7f16\u7a0b\u8bed\u8a00\u53ef\u4ee5\u62d3\u5bbd\u89c6\u91ce\uff0c\u589e\u5f3a\u7f16\u7a0b\u80fd\u529b\u3002\u4e0d\u540c\u7684\u7f16\u7a0b\u8bed\u8a00\u6709\u5404\u81ea\u7684\u7279\u70b9\u548c\u5e94\u7528\u573a\u666f\uff0c\u5b66\u4e60\u591a\u79cd\u7f16\u7a0b\u8bed\u8a00\u53ef\u4ee5\u63d0\u9ad8\u89e3\u51b3\u95ee\u9898\u7684\u7075\u6d3b\u6027\u548c\u6548\u7387\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
\u5341\u3001\u603b\u7ed3<\/p>\n<\/p>\n
\u5b66\u4e60Python\u5bf9\u4e8e\u6ca1\u6709\u7f16\u7a0b\u7ecf\u9a8c\u7684\u521d\u5b66\u8005\u6765\u8bf4\uff0c\u662f\u4e00\u4e2a\u5faa\u5e8f\u6e10\u8fdb\u7684\u8fc7\u7a0b\u3002\u901a\u8fc7\u4e86\u89e3Python\u7684\u57fa\u672c\u6982\u5ff5\u3001\u638c\u63e1\u8bed\u6cd5<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n \u5bf9\u4e8e\u5b8c\u5168\u6ca1\u6709Python\u57fa\u7840\u7684\u4eba\uff0c\u5982\u4f55\u5411\u4ed6\u4eba\u4ecb\u7ecdPython\u7f16\u7a0b\u8bed\u8a00\uff1f<\/strong>
Python\u662f\u4e00\u79cd\u9ad8\u5c42\u6b21\u7684\u7f16\u7a0b\u8bed\u8a00\uff0c\u4ee5\u5176\u7b80\u6d01\u6613\u61c2\u7684\u8bed\u6cd5\u548c\u5f3a\u5927\u7684\u529f\u80fd\u800c\u53d7\u5230\u5e7f\u6cdb\u6b22\u8fce\u3002\u5b83\u4e0d\u4ec5\u9002\u5408\u521d\u5b66\u8005\u5b66\u4e60\uff0c\u8fd8\u88ab\u7528\u4e8e\u6570\u636e\u79d1\u5b66\u3001\u4eba\u5de5\u667a\u80fd\u3001Web\u5f00\u53d1\u7b49\u591a\u4e2a\u9886\u57df\u3002\u53ef\u4ee5\u4ecePython\u7684\u5e94\u7528\u573a\u666f\u548c\u7279\u70b9\u7740\u624b\uff0c\u6bd4\u5982\u5b83\u7684\u53ef\u8bfb\u6027\u3001\u4e30\u5bcc\u7684\u5e93\u548c\u6846\u67b6\uff0c\u5e2e\u52a9\u542c\u4f17\u7406\u89e3\u5b83\u7684\u9b45\u529b\u3002<\/p>\n\u5b66\u4e60Python\u9700\u8981\u54ea\u4e9b\u57fa\u7840\u77e5\u8bc6\uff0c\u624d\u80fd\u66f4\u597d\u5730\u5165\u95e8\uff1f<\/strong>
\u867d\u7136Python\u7684\u8bed\u6cd5\u76f8\u5bf9\u7b80\u5355\uff0c\u4f46\u638c\u63e1\u4e00\u4e9b\u8ba1\u7b97\u673a\u79d1\u5b66\u7684\u57fa\u672c\u6982\u5ff5\u4f1a\u8ba9\u5b66\u4e60\u8fc7\u7a0b\u66f4\u52a0\u987a\u7545\u3002\u4f8b\u5982\uff0c\u4e86\u89e3\u53d8\u91cf\u3001\u6570\u636e\u7c7b\u578b\u3001\u63a7\u5236\u7ed3\u6784\uff08\u5982\u5faa\u73af\u548c\u6761\u4ef6\u8bed\u53e5\uff09\u4ee5\u53ca\u51fd\u6570\u7684\u57fa\u672c\u6982\u5ff5\u90fd\u662f\u975e\u5e38\u6709\u5e2e\u52a9\u7684\u3002\u6b64\u5916\uff0c\u719f\u6089\u4e00\u4e9b\u5e38\u7528\u7684\u5de5\u5177\u548c\u73af\u5883\u8bbe\u7f6e\uff0c\u5982Python\u89e3\u91ca\u5668\u548cIDEs\uff08\u96c6\u6210\u5f00\u53d1\u73af\u5883\uff09\uff0c\u4e5f\u80fd\u63d0\u5347\u5b66\u4e60\u6548\u7387\u3002<\/p>\n\u6709\u6ca1\u6709\u63a8\u8350\u7684\u8d44\u6e90\u6216\u65b9\u6cd5\uff0c\u9002\u5408\u521d\u5b66\u8005\u5b66\u4e60Python\uff1f<\/strong>
\u5bf9\u4e8e\u521d\u5b66\u8005\uff0c\u53ef\u4ee5\u9009\u62e9\u5728\u7ebf\u8bfe\u7a0b\u3001\u4e66\u7c4d\u548c\u7f16\u7a0b\u7ec3\u4e60\u5e73\u53f0\u7b49\u591a\u79cd\u5b66\u4e60\u8d44\u6e90\u3002\u8bf8\u5982Codecademy\u3001Coursera\u548cedX\u7b49\u5e73\u53f0\u63d0\u4f9b\u4e86\u4e92\u52a8\u5f0f\u7684Python\u8bfe\u7a0b\uff0c\u800c\u300aPython\u7f16\u7a0b\uff1a\u4ece\u5165\u95e8\u5230\u5b9e\u8df5\u300b\u8fd9\u672c\u4e66\u4e5f\u975e\u5e38\u9002\u5408\u521d\u5b66\u8005\u3002\u6b64\u5916\uff0c\u53c2\u4e0e\u7f16\u7a0b\u793e\u533a\u5982Stack Overflow\u6216GitHub\uff0c\u53ef\u4ee5\u8ba9\u4f60\u5728\u5b9e\u8df5\u4e2d\u4e0d\u65ad\u5b66\u4e60\u548c\u63d0\u5347\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u6ca1\u5b66\u8fc7Python\u7684\u4eba\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u65b9\u5f0f\u8fdb\u884c\u4ecb\u7ecd\uff1a\u4e86\u89e3Python\u7684\u57fa\u672c\u6982\u5ff5\u3001\u638c\u63e1Python\u7684\u8bed\u6cd5\u57fa\u7840\u3001\u5b66\u4e60P […]","protected":false},"author":3,"featured_media":1184807,"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\/1184804"}],"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=1184804"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1184804\/revisions"}],"predecessor-version":[{"id":1184810,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1184804\/revisions\/1184810"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1184807"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1184804"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1184804"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1184804"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
![\"\u6ca1\u5b66\u8fc7python\u7684\u4eba\u5982\u4f55\u4ecb\u7ecd\"](\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25134121\/e2e5d995-09e5-400c-9ec4-4323be1bc4bb.webp\")
<\/p>\n