igorkf

import pandas as pd
import numpy as np
from tqdm import tqdm


def reduce_mem_usage(df):
    """ 
    From https://www.kaggle.com/valleyzw/ubiquant-lgbm-baseline
    Iterate through all the columns of a dataframe and modify the data type to reduce memory usage.        
    """

igorkf

group_user_relation = db.Table(
    'group_user_relation',
    db.Column('group_id', db.Integer, db.ForeignKey('group.id')),
    db.Column('user_id', db.Integer, db.ForeignKey('user.id'))
)


class User(db.Model):
    id = db.Column(db.Integer, primary_key=True)
    username = db.Column(db.String(64), unique=True)