Реальный Python

for num in [1, 2, 3, 4, 5]:
    print(num)

for i in range(5):  # Эквивалентно range(0, 5)
    print(i)

for char in "Python":
    print(char)

data = {"name": "Alice", "age": 25}
for key, value in data.items():
    print(f"{key}: {value}")

name: Alice  
age: 25  

words = ["apple", "banana", "cherry"]
for index, word in enumerate(words):
    print(index, word)

0 apple  
1 banana  
2 cherry  

for i in range(3):
    print(i)
else:
    print("Цикл завершен!")

my_list = [1, 2, 3]
my_list.append(4)  # [1, 2, 3, 4]

my_tuple = (1, 2, 3)
# my_tuple[0] = 10  # Ошибка! Кортежи неизменяемы.

"a" in ["a", "b", "c"]  # True

"hello" in "hello world"  # True

"key" in {"key": "value"}  # True

g = (x for x in range(10))
g.gi_frame.f_locals['.0'] = range(20)
list(g)

# tasks.py

import os
from multiprocessing import current_process
from threading import current_thread

import requests


def make_request(num):
    # io-bound

    pid = os.getpid()
    thread_name = current_thread().name
    process_name = current_process().name
    print(f"{pid} - {process_name} - {thread_name}")

    requests.get("https://httpbin.org/ip")


async def make_request_async(num, client):
    # io-bound

    pid = os.getpid()
    thread_name = current_thread().name
    process_name = current_process().name
    print(f"{pid} - {process_name} - {thread_name}")

    await client.get("https://httpbin.org/ip")


def get_prime_numbers(num):
    # cpu-bound

    pid = os.getpid()
    thread_name = current_thread().name
    process_name = current_process().name
    print(f"{pid} - {process_name} - {thread_name}")

    numbers = []

    prime = [True for i in range(num + 1)]
    p = 2

    while p * p <= num:
        if prime[p]:
            for i in range(p * 2, num + 1, p):
                prime[i] = False
        p += 1

    prime[0] = False
    prime[1] = False

    for p in range(num + 1):
        if prime[p]:
            numbers.append(p)

    return numbers

import sys
import pandas as pd


df = pd.read_csv(
    sys.argv[1],
    dtype={
        "route_id": "category",
        "direction_id": "category",
        "point_type": "category",
        "standard_type": "category",
    },
    parse_dates=["service_date", "scheduled", "actual"],
)