{"id":1174908,"date":"2025-01-15T17:24:40","date_gmt":"2025-01-15T09:24:40","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1174908.html"},"modified":"2025-01-15T17:24:42","modified_gmt":"2025-01-15T09:24:42","slug":"python%e7%bc%96%e7%a8%8b%e5%ae%8c%e5%90%8e%e5%a6%82%e4%bd%95%e8%bf%90%e8%a1%8c","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1174908.html","title":{"rendered":"python\u7f16\u7a0b\u5b8c\u540e\u5982\u4f55\u8fd0\u884c"},"content":{"rendered":"

\"python\u7f16\u7a0b\u5b8c\u540e\u5982\u4f55\u8fd0\u884c\"<\/p>\n

\u8981\u8fd0\u884cPython\u7f16\u7a0b\u5b8c\u6210\u540e\u7684\u4ee3\u7801\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u51e0\u79cd\u65b9\u6cd5\uff1a\u4f7f\u7528\u547d\u4ee4\u884c\u6216\u7ec8\u7aef\u3001\u4f7f\u7528\u96c6\u6210\u5f00\u53d1\u73af\u5883\uff08IDE\uff09\u3001\u4f7f\u7528\u5728\u7ebf\u7f16\u8bd1\u5668\u3001\u4f7f\u7528Jupyter Notebook<\/strong>\u3002\u5728\u8fd9\u51e0\u79cd\u65b9\u6cd5\u4e2d\uff0c\u4f7f\u7528\u547d\u4ee4\u884c\u6216\u7ec8\u7aef\u662f\u6700\u57fa\u7840\u3001\u6700\u76f4\u63a5\u7684\u65b9\u6cd5\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u5728\u547d\u4ee4\u884c\u6216\u7ec8\u7aef\u4e2d\u8fd0\u884cPython\u4ee3\u7801\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528\u547d\u4ee4\u884c\u6216\u7ec8\u7aef<\/h3>\n<\/p>\n

1.1 \u5b89\u88c5Python<\/h4>\n<\/p>\n

\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u7684\u8ba1\u7b97\u673a\u4e0a\u5df2\u7ecf\u5b89\u88c5\u4e86Python\u3002\u4f60\u53ef\u4ee5\u8bbf\u95eePython\u7684\u5b98\u65b9\u7f51\u7ad9\uff08https:\/\/www.python.org\/\uff09\u4e0b\u8f7d\u5e76\u5b89\u88c5\u9002\u5408\u4f60\u64cd\u4f5c\u7cfb\u7edf\u7684Python\u7248\u672c\u3002\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u5728\u547d\u4ee4\u884c\u6216\u7ec8\u7aef\u4e2d\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\u6765\u786e\u8ba4\u5b89\u88c5\u662f\u5426\u6210\u529f\uff1a<\/a><\/p>\n<\/p>\n

python --version<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5982\u679c\u8fd4\u56de\u4e86Python\u7684\u7248\u672c\u53f7\uff0c\u8bf4\u660ePython\u5df2\u7ecf\u6210\u529f\u5b89\u88c5\u3002<\/p>\n<\/p>\n
1.2 \u7f16\u5199Python\u811a\u672c<\/h4>\n<\/p>\n
\u4f60\u53ef\u4ee5\u4f7f\u7528\u4efb\u4f55\u6587\u672c\u7f16\u8f91\u5668\uff08\u5982Notepad++\u3001Sublime Text\u3001VS Code\u7b49\uff09\u7f16\u5199Python\u4ee3\u7801\uff0c\u5e76\u5c06\u5176\u4fdd\u5b58\u4e3a.py<\/code>\u6269\u5c55\u540d\u7684\u6587\u4ef6\u3002\u4f8b\u5982\uff0c\u521b\u5efa\u4e00\u4e2a\u540d\u4e3ahello.py<\/code>\u7684\u6587\u4ef6\uff0c\u5185\u5bb9\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
print("Hello, world!")<\/p>\n
<\/code><\/pre>\n<\/p>\n
1.3 \u5728\u547d\u4ee4\u884c\u6216\u7ec8\u7aef\u4e2d\u8fd0\u884cPython\u811a\u672c<\/h4>\n<\/p>\n
\u6253\u5f00\u547d\u4ee4\u884c\u6216\u7ec8\u7aef\uff0c\u5bfc\u822a\u5230\u4fdd\u5b58Python\u811a\u672c\u7684\u76ee\u5f55\uff0c\u7136\u540e\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\u6765\u8fd0\u884c\u811a\u672c\uff1a<\/p>\n<\/p>\n
python hello.py<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5982\u679c\u4e00\u5207\u6b63\u5e38\uff0c\u4f60\u5c06\u770b\u5230\u8f93\u51faHello, world!<\/code>\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528\u96c6\u6210\u5f00\u53d1\u73af\u5883\uff08IDE\uff09<\/h3>\n<\/p>\n
2.1 \u9009\u62e9IDE<\/h4>\n<\/p>\n
\u6709\u8bb8\u591a\u9002\u5408Python\u5f00\u53d1\u7684IDE\uff0c\u5982PyCharm\u3001VS Code\u3001Jupyter Notebook\u7b49\u3002\u9009\u62e9\u4e00\u4e2a\u4f60\u559c\u6b22\u7684IDE\u8fdb\u884c\u5b89\u88c5\u5e76\u914d\u7f6e\u3002<\/p>\n<\/p>\n
2.2 \u7f16\u5199\u548c\u8fd0\u884c\u4ee3\u7801<\/h4>\n<\/p>\n
\u5728IDE\u4e2d\u521b\u5efa\u4e00\u4e2a\u65b0\u7684Python\u6587\u4ef6\uff0c\u5e76\u7f16\u5199\u4ee3\u7801\u3002\u4f8b\u5982\uff0c\u5728PyCharm\u4e2d\u521b\u5efa\u4e00\u4e2a\u540d\u4e3ahello.py<\/code>\u7684\u6587\u4ef6\uff0c\u5185\u5bb9\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
print("Hello, world!")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\uff0c\u70b9\u51fb\u8fd0\u884c\u6309\u94ae\uff08\u901a\u5e38\u662f\u4e00\u4e2a\u7eff\u8272\u7684\u4e09\u89d2\u5f62\uff09\u6765\u6267\u884c\u4ee3\u7801\u3002\u4f60\u5c06\u770b\u5230\u8f93\u51fa\u7ed3\u679c\u663e\u793a\u5728IDE\u7684\u63a7\u5236\u53f0\u4e2d\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528\u5728\u7ebf\u7f16\u8bd1\u5668<\/h3>\n<\/p>\n
3.1 \u9009\u62e9\u5728\u7ebf\u7f16\u8bd1\u5668<\/h4>\n<\/p>\n
\u6709\u8bb8\u591a\u5728\u7ebf\u7f16\u8bd1\u5668\u53ef\u4ee5\u8fd0\u884cPython\u4ee3\u7801\uff0c\u5982Repl.it\u3001Google Colab\u3001Jupyter Notebook\u7b49\u3002\u8bbf\u95ee\u4efb\u610f\u4e00\u4e2a\u5728\u7ebf\u7f16\u8bd1\u5668\u7f51\u7ad9\u3002<\/p>\n<\/p>\n
3.2 \u7f16\u5199\u548c\u8fd0\u884c\u4ee3\u7801<\/h4>\n<\/p>\n
\u5728\u5728\u7ebf\u7f16\u8bd1\u5668\u4e2d\u521b\u5efa\u4e00\u4e2a\u65b0\u7684Python\u6587\u4ef6\u6216\u7b14\u8bb0\u672c\uff0c\u7f16\u5199\u4ee3\u7801\u3002\u4f8b\u5982\uff0c\u5728Repl.it\u4e2d\u521b\u5efa\u4e00\u4e2a\u65b0\u7684Python\u6587\u4ef6\uff0c\u5185\u5bb9\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
print("Hello, world!")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\uff0c\u70b9\u51fb\u8fd0\u884c\u6309\u94ae\u6765\u6267\u884c\u4ee3\u7801\u3002\u4f60\u5c06\u770b\u5230\u8f93\u51fa\u7ed3\u679c\u663e\u793a\u5728\u6d4f\u89c8\u5668\u4e2d\u3002<\/p>\n<\/p>\n
\u56db\u3001\u4f7f\u7528Jupyter Notebook<\/h3>\n<\/p>\n
4.1 \u5b89\u88c5Jupyter Notebook<\/h4>\n<\/p>\n
\u786e\u4fdd\u4f60\u7684\u8ba1\u7b97\u673a\u4e0a\u5df2\u7ecf\u5b89\u88c5\u4e86Jupyter Notebook\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u901a\u8fc7pip\u5b89\u88c5Jupyter Notebook\uff1a<\/p>\n<\/p>\n
pip install notebook<\/p>\n
<\/code><\/pre>\n<\/p>\n
4.2 \u542f\u52a8Jupyter Notebook<\/h4>\n<\/p>\n
\u5728\u547d\u4ee4\u884c\u6216\u7ec8\u7aef\u4e2d\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\u6765\u542f\u52a8Jupyter Notebook\uff1a<\/p>\n<\/p>\n
jupyter notebook<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u5c06\u6253\u5f00\u4e00\u4e2a\u65b0\u7684\u6d4f\u89c8\u5668\u7a97\u53e3\u6216\u6807\u7b7e\u9875\uff0c\u663e\u793aJupyter Notebook\u7684\u754c\u9762\u3002<\/p>\n<\/p>\n
4.3 \u521b\u5efa\u548c\u8fd0\u884c\u4ee3\u7801\u5355\u5143<\/h4>\n<\/p>\n
\u5728Jupyter Notebook\u4e2d\u521b\u5efa\u4e00\u4e2a\u65b0\u7684Python\u7b14\u8bb0\u672c\uff0c\u7136\u540e\u5728\u4ee3\u7801\u5355\u5143\u4e2d\u7f16\u5199\u4ee3\u7801\u3002\u4f8b\u5982\uff0c\u8f93\u5165\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
print("Hello, world!")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\uff0c\u6309\u4e0bShift+Enter\u952e\u6216\u70b9\u51fb\u8fd0\u884c\u6309\u94ae\u6765\u6267\u884c\u4ee3\u7801\u5355\u5143\u3002\u4f60\u5c06\u770b\u5230\u8f93\u51fa\u7ed3\u679c\u663e\u793a\u5728\u4ee3\u7801\u5355\u5143\u7684\u4e0b\u65b9\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u8fd0\u884cPython\u4ee3\u7801\u7684\u6ce8\u610f\u4e8b\u9879<\/h3>\n<\/p>\n
5.1 \u73af\u5883\u914d\u7f6e<\/h4>\n<\/p>\n
\u786e\u4fdd\u4f60\u7684Python\u73af\u5883\u914d\u7f6e\u6b63\u786e\uff0c\u5305\u62ec\u5b89\u88c5\u4e86\u6240\u9700\u7684\u5e93\u548c\u6a21\u5757\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528pip\u6765\u5b89\u88c5\u6240\u9700\u7684\u5e93\uff0c\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
pip install numpy<\/p>\n
<\/code><\/pre>\n<\/p>\n
5.2 \u9519\u8bef\u8c03\u8bd5<\/h4>\n<\/p>\n
\u5982\u679c\u5728\u8fd0\u884c\u4ee3\u7801\u65f6\u9047\u5230\u9519\u8bef\uff0c\u53ef\u4ee5\u6839\u636e\u9519\u8bef\u63d0\u793a\u4fe1\u606f\u8fdb\u884c\u8c03\u8bd5\u3002\u5e38\u89c1\u7684\u9519\u8bef\u5305\u62ec\u8bed\u6cd5\u9519\u8bef\u3001\u6a21\u5757\u672a\u627e\u5230\u9519\u8bef\u3001\u7c7b\u578b\u9519\u8bef\u7b49\u3002\u4ed4\u7ec6\u9605\u8bfb\u9519\u8bef\u4fe1\u606f\uff0c\u5e76\u6839\u636e\u63d0\u793a\u8fdb\u884c\u4fee\u6b63\u3002<\/p>\n<\/p>\n
5.3 \u4ee3\u7801\u4f18\u5316<\/h4>\n<\/p>\n
\u5728\u8fd0\u884c\u4ee3\u7801\u540e\uff0c\u53ef\u80fd\u9700\u8981\u5bf9\u4ee3\u7801\u8fdb\u884c\u4f18\u5316\u4ee5\u63d0\u9ad8\u6027\u80fd\u3002\u8fd9\u5305\u62ec\u4f18\u5316\u7b97\u6cd5\u3001\u51cf\u5c11\u5197\u4f59\u4ee3\u7801\u3001\u4f7f\u7528\u9ad8\u6548\u7684\u6570\u636e\u7ed3\u6784\u7b49\u3002<\/p>\n<\/p>\n
5.4 \u4f7f\u7528\u865a\u62df\u73af\u5883<\/h4>\n<\/p>\n
\u4e3a\u4e86\u907f\u514d\u4e0d\u540c\u9879\u76ee\u4e4b\u95f4\u7684\u4f9d\u8d56\u51b2\u7a81\uff0c\u5efa\u8bae\u4f7f\u7528\u865a\u62df\u73af\u5883\u6765\u7ba1\u7406Python\u9879\u76ee\u7684\u4f9d\u8d56\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528venv\u6216virtualenv\u6765\u521b\u5efa\u865a\u62df\u73af\u5883\u3002\u4f8b\u5982\uff0c\u4f7f\u7528venv\u521b\u5efa\u865a\u62df\u73af\u5883\u7684\u547d\u4ee4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
python -m venv myenv<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6fc0\u6d3b\u865a\u62df\u73af\u5883\u540e\uff0c\u53ef\u4ee5\u5728\u865a\u62df\u73af\u5883\u4e2d\u5b89\u88c5\u6240\u9700\u7684\u5e93\u548c\u6a21\u5757\u3002<\/p>\n<\/p>\n
\u516d\u3001\u5e38\u89c1\u7684\u8fd0\u884cPython\u4ee3\u7801\u7684\u65b9\u6cd5\u603b\u7ed3<\/h3>\n<\/p>\n
6.1 \u547d\u4ee4\u884c\u6216\u7ec8\u7aef<\/h4>\n<\/p>\n
\u4f7f\u7528\u547d\u4ee4\u884c\u6216\u7ec8\u7aef\u8fd0\u884cPython\u4ee3\u7801\u662f\u6700\u57fa\u7840\u3001\u6700\u76f4\u63a5\u7684\u65b9\u6cd5\u3002\u9002\u5408\u7b80\u5355\u7684\u811a\u672c\u548c\u5feb\u901f\u6d4b\u8bd5\u3002<\/p>\n<\/p>\n
6.2 \u96c6\u6210\u5f00\u53d1\u73af\u5883\uff08IDE\uff09<\/h4>\n<\/p>\n
IDE\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\uff0c\u5982\u4ee3\u7801\u8865\u5168\u3001\u8c03\u8bd5\u3001\u9879\u76ee\u7ba1\u7406<\/a>\u7b49\uff0c\u9002\u5408\u5f00\u53d1\u590d\u6742\u7684Python\u9879\u76ee\u3002<\/p>\n<\/p>\n
6.3 \u5728\u7ebf\u7f16\u8bd1\u5668<\/h4>\n<\/p>\n
\u5728\u7ebf\u7f16\u8bd1\u5668\u65e0\u9700\u5b89\u88c5\u4efb\u4f55\u8f6f\u4ef6\uff0c\u9002\u5408\u5feb\u901f\u6d4b\u8bd5\u548c\u5171\u4eab\u4ee3\u7801\u3002<\/p>\n<\/p>\n
6.4 Jupyter Notebook<\/h4>\n<\/p>\n
Jupyter Notebook\u9002\u5408\u6570\u636e\u5206\u6790\u548c\u673a\u5668\u5b66\u4e60<\/a>\u9879\u76ee\uff0c\u652f\u6301\u53ef\u89c6\u5316\u548c\u4ea4\u4e92\u5f0f\u7f16\u7a0b\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u5b9e\u9645\u6848\u4f8b\u5206\u6790<\/h3>\n<\/p>\n
7.1 \u6570\u636e\u5206\u6790\u9879\u76ee<\/h4>\n<\/p>\n
\u5047\u8bbe\u4f60\u6709\u4e00\u4e2a\u6570\u636e\u5206\u6790\u9879\u76ee\uff0c\u9700\u8981\u8bfb\u53d6\u4e00\u4e2aCSV\u6587\u4ef6\u5e76\u8fdb\u884c\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u3002\u4f60\u53ef\u4ee5\u9009\u62e9\u4f7f\u7528Jupyter Notebook\u6765\u5b8c\u6210\u8be5\u9879\u76ee\u3002<\/p>\n<\/p>\n
\u9996\u5148\uff0c\u5b89\u88c5\u6240\u9700\u7684\u5e93\uff1a<\/p>\n<\/p>\n
pip install pandas<\/p>\n
pip install matplotlib<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\uff0c\u5728Jupyter Notebook\u4e2d\u7f16\u5199\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
data = pd.read_csv('data.csv')<\/p>\n
\u6570\u636e\u5904\u7406<\/strong><\/h2>\n
data['column'] = data['column'].apply(lambda x: x * 2)<\/p>\n
\u6570\u636e\u53ef\u89c6\u5316<\/strong><\/h2>\n
plt.plot(data['column'])<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd0\u884c\u4ee3\u7801\u5355\u5143\uff0c\u5c06\u770b\u5230\u6570\u636e\u5904\u7406\u540e\u7684\u7ed3\u679c\u548c\u53ef\u89c6\u5316\u56fe\u8868\u3002<\/p>\n<\/p>\n
7.2 Web\u5f00\u53d1\u9879\u76ee<\/h4>\n<\/p>\n
\u5047\u8bbe\u4f60\u6709\u4e00\u4e2aWeb\u5f00\u53d1\u9879\u76ee\uff0c\u9700\u8981\u4f7f\u7528Flask\u6846\u67b6\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684Web\u5e94\u7528\u3002\u4f60\u53ef\u4ee5\u9009\u62e9\u4f7f\u7528PyCharm\u6765\u5b8c\u6210\u8be5\u9879\u76ee\u3002<\/p>\n<\/p>\n
\u9996\u5148\uff0c\u5b89\u88c5Flask\uff1a<\/p>\n<\/p>\n
pip install flask<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\uff0c\u5728PyCharm\u4e2d\u521b\u5efa\u4e00\u4e2a\u65b0\u7684Python\u6587\u4ef6\uff0c\u5e76\u7f16\u5199\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
from flask import Flask<\/p>\n
app = Flask(__name__)<\/p>\n
@app.route('\/')<\/p>\n
def home():<\/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
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