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##python #coding #python #programming #database #faker #fake #generate

from peewee import Model, SqliteDatabase, CharField, IntegerField, UUIDField
from uuid import uuid4
from faker import Faker
from random import randint

fake = Faker()

db = SqliteDatabase('mydb.db')

class User(Model):
    name = CharField(max_length = 25)
    email = CharField(max_length = 25)
    age = IntegerField()
    password = CharField(max_length = 100)
    user_id = UUIDField(primary_key = True, default = uuid4)

    class Meta:
        database = db


db.connect()
db.create_tables([User])

for i in range(20):
    new_user = User.create(**{
        'name': fake.name(),
        'email': fake.email(),
        'age': randint(12, 45),
        'password': fake.password()
    })

    new_user.save()

db.commit()

##python #coding #file #generate

Create Massive Files in Seconds Python for Dynamic File Generation

def generate_file(file_size_mb, file_name):
    file_size = file_size_mb * 1024 * 1024
    with open(file_name, 'wb') as f:
        f.write(b'\b' * file_size)


generate_file(file_size_mb=2, file_name='test.test')

##python #coding #statistics #fake #generate #date #datetime #data

How to generate fake user statistics using Python

from datetime import date
from pandas import date_range
from uuid import uuid4
from random import randint


s_date = date(2019, 1, 1)
e_date = date(2019, 1, 30)

stats = {}

for d in date_range(start=s_date, end=e_date):
    d = str(d.date())
    stats[d] = {
        'user_id': str(uuid4()),
        'clicks': randint(0, 1000)
    }


print(stats)

#javascript #class #generate #constructor #this

define a class

class Pencil {
  constructor(price) {
    this.price = price;
  }

  isExpensive() {
    return this.price >= 10;
  }
}

//usage
const bic = new Pencil(3);
bic.isExpensive();

Generate fake users database Python

Create Massive Files in Seconds Python for Dynamic File Generation

How to generate fake user statistics using Python

define a class

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