你能写多复杂的python代码

作为AI语言模型，我能够生成各种复杂的Python代码，以下是一些示例：

1. 实现一个基于深度学习的图像识别算法

import numpy as np
import tensorflow as tf

# 构建一个卷积神经网络模型
model = tf.keras.Sequential([
    tf.keras.layers.Conv2D(32, (3,3), activation='relu', input_shape=(28,28,1)),
    tf.keras.layers.MaxPooling2D((2,2)),
    tf.keras.layers.Conv2D(64, (3,3), activation='relu'),
    tf.keras.layers.MaxPooling2D((2,2)),
    tf.keras.layers.Flatten(),
    tf.keras.layers.Dense(10, activation='softmax')
])

# 加载MNIST数据集
mnist = tf.keras.datasets.mnist
(x_train, y_train), (x_test, y_test) = mnist.load_data()

# 数据预处理
x_train = x_train.reshape((60000, 28, 28, 1)) / 255.0
x_test = x_test.reshape((10000, 28, 28, 1)) / 255.0
y_train = tf.keras.utils.to_categorical(y_train)
y_test = tf.keras.utils.to_categorical(y_test)

# 编译模型
model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])

# 训练模型
model.fit(x_train, y_train, epochs=5, batch_size=32, validation_data=(x_test, y_test))

# 评估模型性能
test_loss, test_acc = model.evaluate(x_test, y_test)
print('Test accuracy:', test_acc)

2. 使用Python爬虫抓取网页数据并进行分析

import requests
from bs4 import BeautifulSoup
import pandas as pd

# 抓取天气数据
url = 'http://www.weather.com.cn/weather/101280101.shtml'
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')

# 解析天气数据
data = []
for li in soup.find_all('li', class_='sky'):
    date = li.find('h1').text
    weather = li.find_all('p')[0].text
    temperature = li.find_all('p')[1].find('span').text + '/' + li.find_all('p')[1].find('i').text
    wind = li.find_all('p')[2].find('i').text
    data.append([date, weather, temperature, wind])

# 将天气数据保存为CSV文件
df = pd.DataFrame(data, columns=['日期', '天气', '温度', '风力'])
df.to_csv('weather.csv', index=False)

# 分析天气数据
df = pd.read_csv('weather.csv')
print('过去7天的平均气温为:', df['温度'].apply(lambda x: int(x.split('/')[0])).mean())
print('过去7天的降雨量为:', df['天气'].apply(lambda x: '有' in x).sum())

3. 实现一个基于Flask的Web应用程序

from flask import Flask, request, jsonify

app = Flask(__name__)

# 定义一个API接口
@app.route('/api/sum', methods=['POST'])
def sum():
    data = request.get_json()
    a = data['a']
    b = data['b']
    result = a + b
    return jsonify({'result': result})

# 启动应用程序
if __name__ == '__main__':
    app.run()

以上是一些示例，我还可以生成更加复杂和高级的Python代码，具体取决于您的需求。