files= {'upload-file': open('a.jpg','rb')}#也可以通过元组来指定数据类型#files = {'upload-file': ('report.xls', open('report.xls', 'rb'), 'application/vnd.ms-excel')}r = httpx.post("https://httpbin.org/post", files=files)print(r.text) 3.2.3 JSON importhttpx data= {'inte...
import httpx files = {'upload-file': open('a.jpg', 'rb')} # 也可以通过元组来指定数据类型 # files = {'upload-file': ('report.xls', open('report.xls', 'rb'), 'application/vnd.ms-excel')} r = httpx.post("https://httpbin.org/post", files=files) print(r.text) 3.2.3 JSON...
post(url, content=upload_bytes()) 3、 异步环境 3.1 asyncio AsyncIO 是 Python 的内置库 ,用于使用 async/await 语法编写并发代码。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 import asyncio import httpx async def main(): async with httpx.AsyncClient() as client: response = await ...
Now that the template is created let’s load it using Flask. Let’s create a new blueprint in a different file to demonstrate this example: # blueprints/jinja_demo/__init__.py from flask import Blueprint, render_template, request jinja_bp = Blueprint('jinja_bp', __name__) @...
fromurllibimportrequest,parse# GET请求示例url='https://api.example.com/data'params={'key1':'value1','key2':'value2'}query_string=parse.urlencode(params)full_url=url+'?'+query_stringwithrequest.urlopen(full_url)asresponse:data=response.read().decode('utf-8')print(data)# POST请求示例url...
with psycopg2.connect(**config) as conn: # 使用游标执行查询(with语句自动关闭游标) with conn.cursor() as cur: # 查询所有非模板数据库(排除template0/template1) # pg_database是PostgreSQL系统表,存储数据库元数据 # datistemplate为false表示非模板库(用户创建的库) ...
app = Flask(__name__) @app.route('/') def form(): return render_template('form.html') @app.route('/', methods=['POST']) def get_parameters(): if request.form["btn"] == "Submit": form_params = [] form_params.append(request.form['functionnumber']) ...
Flask API中POST请求示例返回“方法不允许”curl -H "Content-Type: application/json" -X POST -d ...
例如下面的这个Dockerfile 就用来构建一个Flask 的应用 # Dockerfile-flask # Simply inherit the Python 3 image. FROM python:3 # Set an environment variable ENV APP /app # Create the directory RUN mkdir $APP WORKDIR $APP # Expose the port uWSGI will listen on EXPOSE 5000 # Copy the require...
Flask / Django:轻量级至全栈的Web框架,适合快速开发网站和API服务。 Requests:简洁易用的HTTP请求库,常用于网络爬虫和API集成。 BeautifulSoup:HTML和XML解析库,方便抓取网页内容。 SQLAlchemy:ORM工具,简化数据库操作,提高代码可读性。 Jupyter Notebook:交互式的数据科学环境,支持实时运行代码和可视化。 发布于 2024-...