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Pragmatic Python Sunghyun Hwang

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2 ടࢿഅ Sunghyun Hwang • Software Engineer at Rainist Co., Ltd. • Python 2014 ~ • Scala 2017 ~ • Microservice Architecture 2017 ~ • Email: [email protected] • Twitter: @_sunghyunzz • Github: @sunghyunzz

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3 Is Python Pragmatic? "

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import unittest class PragmaticPythonTest(unittest.TestCase): def test_is_python_pragmatic(self): self.assertTrue( are_many_companies_using_python('KR') ) import unittest class PragmaticPythonTest(unittest.TestCase): def test_is_python_pragmatic(self): self.assertTrue( are_many_companies_using_python('KR') ) 4

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import unittest class PragmaticPythonTest(unittest.TestCase): def test_is_python_pragmatic(self): self.assertTrue( are_many_companies_using_python('KR') ) import unittest class PragmaticPythonTest(unittest.TestCase): def test_is_python_pragmatic(self): self.assertTrue( are_many_companies_using_python('KR') ) 5

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6 https://www.wanted.co.kr/wdlist/518/899?sort=-count

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7 https://www.wanted.co.kr/wdlist/518/899?sort=-count

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8 https://www.wanted.co.kr/wdlist/518/899?sort=-count

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import requests URL = 'https://www.wanted.co.kr/api/v3/search?country=KR' def fetch_nr_of_jobs(q: str) -> int: r = requests.get(f'{URL}&query={q}') return r.json()['data']['jobs']['total'] fetch_nr_of_jobs('Python+Developer') # 115 fetch_nr_of_jobs('Server+Developer') # 269 import requests URL = 'https://www.wanted.co.kr/api/v3/search?country=KR' def fetch_nr_of_jobs(q: str) -> int: r = requests.get(f'{URL}&query={q}') return r.json()['data']['jobs']['total'] fetch_nr_of_jobs('Python+Developer') fetch_nr_of_jobs('Server+Developer') 9

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import requests URL = 'https://www.wanted.co.kr/api/v3/search?country=KR' def fetch_nr_of_jobs(q: str) -> int: r = requests.get(f'{URL}&query={q}') return r.json()['data']['jobs']['total'] fetch_nr_of_jobs('Python+Developer') # 115 fetch_nr_of_jobs('Server+Developer') # 269 import requests URL = 'https://www.wanted.co.kr/api/v3/search?country=KR' def fetch_nr_of_jobs(q: str) -> int: r = requests.get(f'{URL}&query={q}') return r.json()['data']['jobs']['total'] fetch_nr_of_jobs('Python+Developer') fetch_nr_of_jobs('Server+Developer') 10

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import requests URL = 'https://www.wanted.co.kr/api/v3/search?country=KR' def fetch_nr_of_jobs(q: str) -> int: r = requests.get(f'{URL}&query={q}') return r.json()['data']['jobs']['total'] fetch_nr_of_jobs('Python+Developer') # 115 fetch_nr_of_jobs('Server+Developer') # 269 import requests URL = 'https://www.wanted.co.kr/api/v3/search?country=KR' def fetch_nr_of_jobs(q: str) -> int: r = requests.get(f'{URL}&query={q}') return r.json()['data']['jobs']['total'] fetch_nr_of_jobs('Python+Developer') fetch_nr_of_jobs('Server+Developer') 11

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import requests URL = 'https://www.wanted.co.kr/api/v3/search?country=KR' def fetch_nr_of_jobs(q: str) -> int: r = requests.get(f'{URL}&query={q}') return r.json()['data']['jobs']['total'] fetch_nr_of_jobs('Python+Developer') # 115 fetch_nr_of_jobs('Server+Developer') # 269 import requests URL = 'https://www.wanted.co.kr/api/v3/search?country=KR' def fetch_nr_of_jobs(q: str) -> int: r = requests.get(f'{URL}&query={q}') return r.json()['data']['jobs']['total'] fetch_nr_of_jobs('Python+Developer') fetch_nr_of_jobs('Server+Developer') 12

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import requests URL = 'https://www.wanted.co.kr/api/v3/search?country=KR' def fetch_nr_of_jobs(q: str) -> int: r = requests.get(f'{URL}&query={q}') return r.json()['data']['jobs']['total'] fetch_nr_of_jobs('Python+Developer') # 115 fetch_nr_of_jobs('Server+Developer') import requests URL = 'https://www.wanted.co.kr/api/v3/search?country=KR' def fetch_nr_of_jobs(q: str) -> int: r = requests.get(f'{URL}&query={q}') return r.json()['data']['jobs']['total'] fetch_nr_of_jobs('Python+Developer') # 115 fetch_nr_of_jobs('Server+Developer') 13

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import requests URL = 'https://www.wanted.co.kr/api/v3/search?country=KR' def fetch_nr_of_jobs(q: str) -> int: r = requests.get(f'{URL}&query={q}') return r.json()['data']['jobs']['total'] fetch_nr_of_jobs('Python+Developer') # 115 fetch_nr_of_jobs('Server+Developer') # 269 import requests URL = 'https://www.wanted.co.kr/api/v3/search?country=KR' def fetch_nr_of_jobs(q: str) -> int: r = requests.get(f'{URL}&query={q}') return r.json()['data']['jobs']['total'] fetch_nr_of_jobs('Python+Developer') # 115 fetch_nr_of_jobs('Server+Developer') # 269 14

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15

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16 PEP 20 — The Zen of Python https://www.python.org/dev/peps/pep-0020/

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(…) Simple is better than complex. (…) Readability counts. (…) If the implementation is hard to explain, it's a bad idea. If the implementation is easy to explain, it may be a good idea. (…) (…) Simple is better than complex. (…) Readability counts. (…) If the implementation is hard to explain, it's a bad idea. If the implementation is easy to explain, it may be a good idea. (…) 17 PEP 20 — The Zen of Python https://www.python.org/dev/peps/pep-0020/

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(…) Simple is better than complex. (…) Readability counts. (…) If the implementation is hard to explain, it's a bad idea. If the implementation is easy to explain, it may be a good idea. (…) (…) Simple is better than complex. (…) Readability counts. (…) If the implementation is hard to explain, it's a bad idea. If the implementation is easy to explain, it may be a good idea. (…) 18 PEP 20 — The Zen of Python https://www.python.org/dev/peps/pep-0020/

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(…) Simple is better than complex.. (…) Readability counts. (…) If the implementation is hard to explain, it's a bad idea. If the implementation is easy to explain, it may be a good idea. (…) (…) Simple is better than complex. (…) Readability counts. (…) If the implementation is hard to explain, it's a bad idea. If the implementation is easy to explain, it may be a good idea. (…) 19 PEP 20 — The Zen of Python https://www.python.org/dev/peps/pep-0020/

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20 if 'birth' < c < 'death': pass

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21 s = {1, 2, 3} print(4 in s) l = [1, 2] * 5 print(l[:-1]) d = {1: 1, 2: 4, 3: 9} print(d[3])

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22 data = [1, 2, 3] sum(d ** 2 for d in data)

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23 l = [1, 2, 3, 4, 5] d = { i: i ** i for i in l if i % 2 == 1 }

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24 def fib(n): a, b = 0, 1 for i in range(n): a, b = b, a + b return a

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25 from itertools import permutations data = [1, 2, 3] for case in permutations(data): pass

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26 import json d = {'org': 'Django Girls Seoul'} json.dumps(d)

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27 from flask import Flask app = Flask(__name__) @app.route("/") def hello(): return "Hello World!"

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28 https://twitter.com/gvanrossum/statuses/1372452815

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29 https://madnight.github.io/githut/#/pull_requests/2018/1

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Python Java C# PHP JavaScript Google Trends: KR, 2015-04-29 ~ 2018-04-29 30

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Google Trends: KR, 2015-04-29 ~ 2018-04-29 31

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32 Card Recommendation O(NC * NG * NB * NS) • NC = number of cards • NG = number of benefit groups per card • NB = number of benefits per benefit group • NS = number of user spendings

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33 import timeit def calc(): s = 0 for i in range(10 ** 8): s += i return s print( timeit.timeit( "calc()", setup="from __main__ import calc", number=1 ) )

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34 import timeit def calc(): s = 0 for i in range(10 ** 8): s += i return s print( timeit.timeit( "calc()", setup="from __main__ import calc", number=1 ) ) 7.25s

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35 val t1 = System.nanoTime() var s: Long = 0 for (i ← 1 to 100000000) { s += i } val t2 = System.nanoTime() println((t2 - t1) / 1000000000.0)

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36 val t1 = System.nanoTime() var s: Long = 0 for (i ← 1 to 100000000) { s += i } val t2 = System.nanoTime() println((t2 - t1) / 1000000000.0) 0.36s

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37 https://martinfowler.com/articles/microservices.html

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38

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39

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40 jg (user card)

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41 jg (user card) alfred (card)

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42 jg (user card) alfred (card) poong (promotion)

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43 jg (user card) biryong (contents) alfred (card) poong (promotion)

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44 jg (user card) biryong (contents) alfred (card) poong (promotion) dishwasher (FAQ)

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45 https://www.redhat.com/en/blog/state-microservices Respondents believe in “using the right tool for the right task” According to 44% Middleware respondents & 50% OpenShift respondents

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46 https://www.redhat.com/en/blog/state-microservices of respondents are using or considering multiple technologies for microservices. 87%

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47 Python Scala Node.js Others * back-end services only Microservices in Banksalad

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Prototyping I/O HTTP API Tasks (script) Data Science & Analysis Small Functions in MSA Prototyping I/O HTTP API Tasks (script) Data Science & Analysis Small Functions in MSA 48

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Prototyping I/O HTTP API Tasks (script) Data Science & Analysis Small Functions in MSA Prototyping I/O HTTP API Tasks (script) Data Science & Analysis Small Functions in MSA 49

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Prototyping I/O HTTP API Tasks (script) Data Science & Analysis Small Functions in MSA Prototyping I/O HTTP API Tasks (script) Data Science & Analysis Small Functions in MSA 50

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Prototyping I/O HTTP API Tasks (script) Data Science & Analysis Small Functions in MSA Prototyping I/O HTTP API Tasks (script) Data Science & Analysis Small Functions in MSA 51

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Prototyping I/O HTTP API Tasks (script) Data Science & Analysis Small Functions in MSA Prototyping I/O HTTP API Tasks (script) Data Science & Analysis Small Functions in MSA 53

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Prototyping I/O HTTP API Tasks (script) Data Science & Analysis Small Functions in MSA Prototyping I/O HTTP API Tasks (script) Data Science & Analysis Small Functions in MSA 54

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55 2015.5.3 2018.4.22 Microservice Google Trends: 2015-05-03 ~ 2018-04-22

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56 import antigravity

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57 import antigravity https://xkcd.com/353/

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58 Join Us! https://rainist.com/recruit/engineer • Back-end Engineer (Python/Scala) • Devops Engineer • Data Engineer • Data Scientist • Growth Hacker • Web Front-end Engineer • Android Engineer • iOS Engineer • QA Engineer • Security Engineer