python

import pandas as pd
import plotly.express as px

df = pd.read_csv('marketing_performance.csv')
fig = px.scatter(
    df,

from django.db import transaction
from django.shortcuts import get_object_or_404
from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.response import Response
from .models import Order, OrderItem, Product

from rest_framework import permissions


class IsOwnerOrReadOnly(permissions.BasePermission):
    """
    Custom permission to only allow owners of an object to edit it.

import csv
from django.core.management.base import BaseCommand, CommandError
from products.models import Product, Category


class Command(BaseCommand):

from django.contrib.auth.backends import ModelBackend
from django.contrib.auth import get_user_model

User = get_user_model()

INSTALLED_APPS += ['corsheaders']

MIDDLEWARE = [
    'corsheaders.middleware.CorsMiddleware',  # Must be before CommonMiddleware
    'django.middleware.common.CommonMiddleware',
    # ... other middleware

from django import template
from django.db.models import Count
from blog.models import Post, Tag

register = template.Library()

import numpy as np
from statsmodels.stats.proportion import proportions_ztest, confint_proportions_2indep

control_conversions = 920
control_users = 12_500
treatment_conversions = 1_015

from django.db.models.signals import post_save
from django.dispatch import receiver
from django.core.mail import send_mail
from .models import User, Profile

from django.contrib import messages
from django.shortcuts import redirect, render
from django.contrib.auth.decorators import login_required


@login_required

from django.core.mail import EmailMultiAlternatives
from django.template.loader import render_to_string
from django.conf import settings


def send_welcome_email(user):

from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline

model_name = 'distilbert-base-uncased-finetuned-sst-2-english'
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name)