The First Cry of Atom Today is the first day of the rest of my life.

Idiomatic Python ~I will write with this style~

I read a book, Writing Idiomatic Python Although I usually write python codes, I have not paid attension to the style of these codes. By reading this book, I have noticed that there are pythonic style in python codes. And I think it was good mind to write python code. There were many Halmful, Idiomaric phrases about python code. So I’d like to introduce some of them which I’ll write in my own code.

And of course, all python developers should read this book!!


Usually, I write loop code like below.

index = 0
for element in ["Takeshi", "Nobita", "Masao"]:
    print('{}:{}'.format(index, element))
    index += 1

But it is harmful according to this book. Correctly, you should write like below.

conteiner = ["Takeshi", "Nobita", "Masao"]
for index, element in enumerate(conteiner):
    print('{}:{}'.format(index, element)

Arbitrary arguments

In python, you can write arbitrary arguments with *args or **kwargs. Arbutrary arguments are useful when you want to implement some types of API which is different by package versions. You can write like below.

def make_api_call(a, b, c, *args, **kwargs):
    print a
	print b
	print c
	print args
	print kwargs

Run this


if __name__ == "__main__":
    make_api_call(1, 2, 3, 4, 5, 6, name="Takeshi", age=23)

# --console--
# 1
# 2
# 3
# (4, 5, 6)
# {'age': 23, 'name': 'Takeshi'}

Avoid Swallowing useful exceptions

In python, exception is common phrases used in for loop or etc. In addition to this, exception gives you a useful information for debugging. So you should not swallow these exceptions by writing bare except clause. If you don’t have any idea about what type exceptions are raised from third-party library, you should raise it again.

import requests
def get_json_response(url):
        r = requests.get(url)
        return r.json()

Avoid using a temporary variables with swapping

Use tuple.

foo = "FOO"
bar = "BAR"
(foo, bar) = (bar, foo)

Use join method. It’s more faster

result_list = ["Takeshi", "Nobita", "Masuo"]
reesult_string = " ".join(result_list)

Use format function to make a formatted string

# user is a dictionary
def get_formatted_user_info(user):
    output = 'Nama: {}, Age: {user.age}, Sex: {}'.format(user=user)

Prefer xrange to range

Use xrange

for index in xrange(10000):
    print('index: {}'.format(index)

Default value got from dicionary

If there are name field in user, get returns 'Unknown'.

username = user.get('name', 'Unknown')

Dictionary complehension

The list complehension is well known about python context. But dictionary complehension is as important as this.

user_email = { for user in users_list if}

Set complehension

In set syntax, you can use complehension expression.

users_first_names = {user.first_name for user in users}

Ignore unnecessary row in tuple

If there are any data which is not necessary for you in tuple, ignore it with _

(name, age, _, _) = get_user_info(user)
if age > 20:
    output = '{name} can drink!'.format(name=name)


Python list comprehension is very useful, however, processing very large list will run out of memory. In this case you should use generator which is iterative expression, but doesn’t use memory.

users = ["Nobita", "Takeshi", "Masuo"]
for i in (user.upper() for user in users if user != "Takeshi"):


Refer PEP8

Python has standard set of formatting rule officially. It is called PEP8. You should install this plugin your editor.

Write as PEP252

PEP257 is the set of rules of document formattings.

def calculate_statistics(value_list):
    """Return a tuple containing the mean, median and the mode of a list of integers

    value_list -- a list of integer values


Last but not least

I am a pythonia. With reading this book, I am able to write more pythonic code at my work scene.