eriky

>>> phone_numbers = { 'Jack': '070-02222748', 'Pete': '010-2488634', 'Eric': '06-10101010' }
>>> list(phone_numbers)
['Jack', 'Pete', 'Eric']
>>> sorted(phone_numbers)
['Eric', 'Jack', 'Pete']

eriky

>>> phone_numbers.items()
dict_items([('Jack', '070-02222748'), ('Pete', '010-2488634'), ('Eric', '06-10101010')])
>>> for name, phonenr in phone_numbers.items():
...     print(name, ":", phonenr)
...
Jack : 070-02222748
Pete : 010-2488634
Eric : 06-10101010

eriky

def print_argument(func):
    def wrapper(the_number):
        print("Argument for", func.__name__, "is", the_number)
        return func(the_number)
    
    return wrapper

@print_argument
def add_one(x):
    return x + 1

eriky

@attrs
class Person(object):
    name = attrib(default='John')
    surname = attrib(default='Doe')
    age = attrib(init=False)
    
p = Person()
print(p)
p = Person('Bill', 'Gates')
p.age = 60

eriky

import threading
import time

# An I/O intensive calculation.
# We simulate it with sleep.
def heavy(n, myid):
    time.sleep(2)
    print(myid, "is done")

def threaded(n):

eriky

import time
import multiprocessing

# A CPU heavy calculation, just
# as an example. This can be
# anything you like
def heavy(n, myid):
    for x in range(1, n):
        for y in range(1, n):
            x**y

eriky

import time
import multiprocessing

# A CPU heavy calculation, just
# as an example. This can be
# anything you like
def heavy(n, myid):
    for x in range(1, n):
        for y in range(1, n):
            x**y

eriky

import time

# A CPU heavy calculation, just
# as an example. This can be
# anything you like
def heavy(n, myid):
    for x in range(1, n):
        for y in range(1, n):
            x**y
    print(myid, "is done")

eriky

import threading
import time

# A CPU heavy calculation, just
# as an example. This can be
# anything you like
def heavy(n, myid):
    for x in range(1, n):
        for y in range(1, n):
            x**y

eriky

from concurrent.futures import ThreadPoolExecutor
from time import sleep
 
def return_after_5_secs(message):
  sleep(5)
  return message
 
pool = ThreadPoolExecutor(3)
 
future = pool.submit(return_after_5_secs,