Pragmatic Python

2018 Django Girls Seoul 4월 세미나에서 발표한 [Pragmatic Python] 발표 자료입니다.

1. Pragmatic Python Sunghyun Hwang
2. 2 ടࢿഅ Sunghyun Hwang • Software Engineer at Rainist Co., Ltd. • Python 2014 ~ • Scala 2017 ~ • Microservice Architecture 2017 ~ • Email: me@sunghyunzz.com • Twitter: @_sunghyunzz • Github: @sunghyunzz
3. 3 Is Python Pragmatic? "
4. 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
5. 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
6. 6 https://www.wanted.co.kr/wdlist/518/899?sort=-count
7. 7 https://www.wanted.co.kr/wdlist/518/899?sort=-count
8. 8 https://www.wanted.co.kr/wdlist/518/899?sort=-count
9. 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
10. 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
11. 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
12. 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
13. 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
14. 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
16. 16 PEP 20 — The Zen of Python https://www.python.org/dev/peps/pep-0020/
17. (…) 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/
18. (…) 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/
19. (…) 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/
20. 20 if 'birth' < c < 'death': pass
21. 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])
22. 22 data = [1, 2, 3] sum(d ** 2 for d in data)
23. 23 l = [1, 2, 3, 4, 5] d = { i: i ** i for i in l if i % 2 == 1 }
24. 24 def fib(n): a, b = 0, 1 for i in range(n): a, b = b, a + b return a
25. 25 from itertools import permutations data = [1, 2, 3] for case in permutations(data): pass
26. 26 import json d = {'org': 'Django Girls Seoul'} json.dumps(d)
27. 27 from flask import Flask app = Flask(__name__) @app.route("/") def hello(): return "Hello World!"
28. 28 https://twitter.com/gvanrossum/statuses/1372452815
29. 29 https://madnight.github.io/githut/#/pull_requests/2018/1
30. Python Java C# PHP JavaScript Google Trends: KR, 2015-04-29 ~ 2018-04-29 30
31. Google Trends: KR, 2015-04-29 ~ 2018-04-29 31
32. 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
33. 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 ) )
34. 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
35. 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)
36. 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
37. 37 https://martinfowler.com/articles/microservices.html
40. 40 jg (user card)
41. 41 jg (user card) alfred (card)
42. 42 jg (user card) alfred (card) poong (promotion)
43. 43 jg (user card) biryong (contents) alfred (card) poong (promotion)
44. 44 jg (user card) biryong (contents) alfred (card) poong (promotion) dishwasher (FAQ)
45. 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
46. 46 https://www.redhat.com/en/blog/state-microservices of respondents are using or considering multiple technologies for microservices. 87%
47. 47 Python Scala Node.js Others * back-end services only Microservices in Banksalad
48. 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
49. 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
50. 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
51. 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
53. 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
54. 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
55. 55 2015.5.3 2018.4.22 Microservice Google Trends: 2015-05-03 ~ 2018-04-22
56. 56 import antigravity
57. 57 import antigravity https://xkcd.com/353/
58. 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