Python's Situation in Japanese Startups

Python's Situation in Japanese Startups

Transcript

1. Python’s Situation in Japanese Startups PyCon APAC 2017 2017/08/27 Hironori Sekine
2. Introduction • Hironori Sekine • Software Engineer • SQUEEZE Inc. • Twitter: @checkpoint
3. Community activities • PyCon JP 2014 ~ 2016 Staff • Organizer of Python meetup • Author of Some Python books
4. Table of contents • Programming language situation in Japan • What kind of technology is actually used
5. Programming Language • Java • PHP • Ruby • Others
6. Java • Used in a wide range of fields • Spring Framework • Many job information
7. PHP • Used to build web applications • Laravel, CakePHP • Many job information
8. Ruby • Matz • Ruby on Rails • Many documents and books • Many communities • Big international conference - https://ja.wikipedia.org/wiki/%E3%81%BE%E3%81%A4%E3%82%82%E3%81%A8%E3%82%86%E3%81%8D%E3%81%B2%E3%82%8D -
9. Others • Perl • Scala • Go • etc…
10. Python • Used in a wide range of fields • It is a big movement since one or two year ago https://www.python.org/
11. Search Keyword • It is rising from around 2016
12. Books • More than 30 books have been published • Many O'Reilly translated books are published
13. Books
14. O'Reilly's sales ranking
15. Event • Meetup • WorkShop • BootCamp • Conference
16. Community • A wide range of communities exists • by area • by category • Many people participated
17. Many startups use Python
18. How do you use it? • A case study in SQUEEZE • Property management software • Single page application
19. Infrastructure • Route 53ʢdomainʣ • S3ʢstorageʣ • Elastic BeanstalkʢEC2, ELBʣ • SQSʢmessage queueʣ • RDSʢMySQLʣ • Redis (Cache, KVS)
20. • Django • Django REST framework Web Framework
21. Domain Driven Design
22. • Divide function by module • Access to each module through the interface • Minimize dependency Layered architecture
23. Domain Driven Design
24. • Describe database entities and data access • Only the service and constants can be referred from the Domain layer • Views does not write business logic as much as possible and focuses only on preparing the context Data layer
25. Domain Driven Design
26. • Describe the business logic of the application Domain layer
27. Domain Driven Design
28. • In charge of HTTP processing • Receive the request and return the response • Call domain interface Web Layer
29. Common library • Create a separate Python module • sq-airbnb • sq-django-slack • Create a wheel using Docker
30. wheelhouse
31. Continuous integration • CircleCI • Source code check • CodecovʢCoverageʣ • Requires.ioʢMonitor dependent librariesʣ
32. • flake8 • flake8-coding • flake8-commas • flake8-quotes Source code format checker
33. • pytest • factory_boy • mock • codecov Test
34. requires.io
35. Serverless Framework • AWS Lambda • Chalice • Zappa • Create thumbnail function • Inquiry form function
36. Data analysis
37. Data analysis • 50 thousand listing data • Price data of more than 20 million • Data analysis, price prediction
38. • pandas • Jupyter Notebook • scikit-learn Data analysis
39. Conclusion • Programming language situation in Japan • Python is used in many companies and products
40. Thank you!