老师这个套路代码能详细解释一下么，不是很理解

老师，有没有什么有实际意义的例子说明一下使用include和fixed的优势所在呢，听懂了，但是感觉也就只是听懂了，还是不明白能怎么结合实际情况去使用

为什么使用alembic给sqlachemy写的模块备份数据库时,只能保留表格结构

为什么使用alembic给flask-sqlachemy写的模块备份数据库时,不仅能保留数据结构还能保留数据?

class MyNum():

    def print123(self):

        print(123)

老师，这啥意思

老师,咱以后参与了工作,是用DDL语句创建常见,还是直接用类似Navicate等一类工具创建

这种应该怎么办

老师 我将NoneType赋值给a变量系统为什么会报错呢

老师，把这“当前值(总和)”数据通过颜色标记添加上去了，但是地图上没有显示是啥情况啊？

没有找到ProgrameData这个文件,怎么办

实列属性和类属性有什么区别吗

的结果是

huangguangya #1demingzishi #2xiaoshuaiduo #3 #1 #1 #1  #1，和老师执行结果不一样

mycat的文档资源怎么没有

这个是什么情况

老师这里运行函数为什么 inner（）和outer（）都要写呢？ 只写一个为什么不能运行

#测试LEGB

s = "global"

def outer():

  s = "outer"

  def inner():

    s = "inner"

    print(s)

  inner()

outer()

大家注意这个b64_code，人人车好像每隔一段时间会换一下这个b64_code，然后根据下面这个代码就可以获得车辆价格了

import base64
from fontTools.ttLib import TTFont


def create_ttf():
    b64_code = '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'

    with open('./font.ttf','wb') as f:
        f.write(base64.decodebytes(b64_code.encode()))

def decode_ttf(ttf_path):
    ttf = TTFont(ttf_path)
   # 输出数字与uni编码之间的关系 元素下标就是数字，元素内容是uni编码
    li = ttf.getGlyphOrder()[1:]
    # 输出uni编码与数字之间的关系，输出类型为字典，特殊字符的acill值:uni编码
    dic = ttf.getBestCmap()

    new_dict = {}
    for k, v in dic.items():
        # chr(k) 转成特殊字符   li.index(v) 找到uni编码所对应的下标(即对应数字)
        new_dict[chr(k)] = li.index(v)
    return new_dict
 
if __name__ == '__main__':
    # 生成ttf文件
    create_ttf()
    # 进行内容解析测试
    ttf_path = './font.ttf'  # 人人车加密价格的TTF字体文件路径
    encrypted_text = '+¥.起'  # 需要解密的加密文本
    decrypted_text = decode_ttf(ttf_path)
    # 输出：人人车价格解密结果
    ans = ''
    for char in encrypted_text:
        if char == '.':
            ans += '.'
        else:
            ans += str(decrypted_text[char])
    print(ans)