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1. Ad data visualization

Data visualisationi maxime studet notitias clare et efficaciter communicare et communicare ope instrumentorum graphicorum ut plus homines intellegere et uti possint.
Speramus varias tabulas posse diversos effectus exhibere, ut in PC accessus, accessus in Android, accessus in vehiculis computatoriis insidentibus, etc.; — mapa, proportio — pica figura, imago. Effectus hic effici potest utens compagibus interretialibus et compagibus chartularum.

python textus compage;
Djangoceleberrima, magna et copiosa, sed est quaedam limen incipientium
Flasksimplicissima, duo tantum munera, unum ad excitandum et transeundum, unum ad reddendam.

Artificia coniuncta in subsequentibus visualizationis operationibus implicantur:
FlaskEst compage usus est aedificare websites
EchartsVarius fons aperta chart js frameworks
WordcloudVerbum nubes ostendit effectum verbi frequentiae verborum per graphics et imagines.

2，flag

(I) utrem project crea

Quam cito creare consilium cum lagena compage in pycharm

Click lima in angulo sinistro, newproject

from flask import Flask         #从flask包中引入Flask模块

app = Flask(__name__)           #通过默认的名字，初始化了全局对象


#此处是flask完成定制的内容
#路由解析，通过用户访问的路径匹配相应的函数
@app.route('/')
def hello_world():
    return '你好!'           #注意默认没有开启debug模式（程序发布状态），所以此处的修改不会实时显示到服务器，可以重启服务器


if __name__ == '__main__':
    app.run()                   #调用对象，run方法就是服务器监听端口

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