


SMS API interface calling example based on aggregated data-Python version
1. Application interface
Apply for opening the SMS API through self-service https://www.juhe.cn/docs/api/id/54 and obtain the interface request Key. (Currently the interface only supports enterprise users)
After applying, submit the SMS template in the personal center. The official website has provided a number of commonly used templates, which can be quickly applied for.
2. pythonCode example
Please refer to the official interface document: <strong class="keylink">Http</strong>s://www.juhe.cn/docs/api/id/54
#!/usr/bin/Python # -*- coding: utf-8 -*- import urllib, urllib2, sys, JSON reload(sys) sys.setdefaultencoding('utf-8') url = 'http://v.juhe.cn/sms/send' params = { "mobile": "13429667914",# 接收短信的用户手机号码 "tpl_id": "12341234",# 您申请的短信模板ID,根据实际情况修改 "tpl_value": "#code#=1235231",# 您设置的模板变量,根据实际情况修改,如无变量可留空 "key": "您申请的ApiKey",# 您申请的短信API接口请求Key } querys = urllib.urlencode(params) request = urllib2.Request(url, data=querys) response = urllib2.urlopen(request) content = response.read() if (content): try: result = json.loads(content) error_code = result['error_code'] if (error_code == 0): message_id = result['result']['sid'] print("请求成功,短信ID:%s" % message_id) else: print("请求失败:%s %s" % (result['error_code'], result['reason'])) except Exception as e: print("解析结果异常:%s" % e) else: # 可能网络异常等问题,无法获取返回内容,请求异常 print("请求异常")
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Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

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Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

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