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### Python template
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging

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#include <stdio.h>
#include <stdlib.h>
#include <unistd.h>

/**
 * infinite_while - Infinite loop
 *
 * Return: Always 0
 */
int infinite_while(void)

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# Encapsulation

def encapsulated_function(some_value):
    class HiddenClass:
        def __init__(self, value):
            self.value = value
            
        def display_value(self):
            print(self.value)
            

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# # Decorators
#
# # func1(func) -> inner() -> logic -> return func1
#
# def decor(func):
#
#     def inner():
#         print("Decorated function")
#         func() # ordinary has been executed
#

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Stream a CSV file from a QuerySet using StreamingHttpResponse

This is a sample on how to stream the results of a large QuerySet into a CSV file using Django StreamingHttpResponse class.

1. Add the CSVStream class in your project, for example a writers.py file:

import csv
from django.http import StreamingHttpResponse

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# List comprehension
# The syntax for list comprehension is:
# [ <expression> for x in <sequence> if <condition>] 

data = [2,3,5,7,11,13,17,19,23,29,31]

# Ex1: List comprehension: updating the same list
data = [x+3 for x in data]
print("Updating the list: ", data)
# Updating the list output:  [5, 6, 8, 10, 14, 16, 20, 22, 26, 32, 34]

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from django.shortcuts import render

from .models import Product


# Create your views here.
# pricee = {"price1": "50", "product1": "car"}

class SearchIn:

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# a list from 0 to 6
piano_keys = ['a', 'b', 'c', 'd', 'e', 'f', 'g']

print(piano_keys[1:5])
# will print from position 1 to the position 5
# ['b', 'c', 'd', 'e']

print(piano_keys[1:5:2])
# will print from position 1 to the position 5
# it will skip the first one after position 1 and print the second one only one time

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def add(n1, n2):
     return n1 + n2


def multiply(n1, n2):
     return n1 * n2


def calc(n1, n2, newFun):
    return newFun(n1, n2)