pip install dataset
如果是mysql，则多安装一个依赖：pip install mysqlclient

import dataset

if __name__ == '__main__':
    """
    先天支持sqlite
    如果是mysql，则多安装一个依赖：pip install mysqlclient
    """
    db = dataset.connect('sqlite:///mydatabase.db')
    # 建表，如果表，则dataset会自动创建。
    table = db['user']
    # 新增
    table.insert(dict(name="张三丰", age=18, country='China'))
    # 新增
    table.insert(dict(name='Jane Doe', age=37, country='France', gender='female'))
    # 修改数据
    table.update(dict(name='张三丰', age=34), ['name'])  # 根据name值过滤进行修改
    # 快速事务，显式使用事务参考官网
    with dataset.connect('sqlite:///mydatabase.db') as tx:
        tx['user'].insert(dict(name='John Doe', age=46, country='China'))
    # 所有表
    tables = db.tables
    # 表字段
    columns = table.columns
    # 总行数
    count = len(table)
    # 所有数据
    users = table.all()
    # 搜索
    users_china = table.users_in(country='China')
    # 获取特定数据
    one = table.find_one(name='John Doe')
    # 查找多个
    users_in = table.find(id=[1, 3, 7])
    # 比较查找
    elderly_users1 = table.find(age={'>=': 70})
    possible_customers = table.find(age={'between': [21, 80]})
    elderly_users2 = table.find(table.table.columns.age >= 70)

    # 自定义SQL
    result = db.query('SELECT country, COUNT(*) c FROM user GROUP BY country')