This document discusses using Python with Jupyter and BigQuery. It presents an overview of building, measuring, and learning from data with these tools. Example topics covered include using Pandas in Jupyter notebooks to work with data from BigQuery and best practices for Python development like type hints, testing, and refactoring code in IntelliJ. The document ends with inviting questions and providing contact information.

1. LT
Python Jupyter+BigQuery
2017-07-10
Python #5
presented by @yuzutas0
https://www.pexels.com/photo/reptile-snake-snape-36448/

2.
Python
Jupyter+BigQuery

3.
Python
Jupyter+BigQuery

4.
@yuzutas0
Python
- SRE
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Java, Node.js, Ruby, Golang, Objective-C

6. “Hello World”

9.
Python
Jupyter+BigQuery

10. 1. → Build/Measure/Learn
2. KPI
3.

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B
C
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DB
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Excel
Redash
Tableau

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DB
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Excel
Redash
Tableau

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B
C
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DB
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Excel
Redash
Tableau

14. BigQuery
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B
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Excel
Redash
Tableau
BigQuery

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A
B
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DB
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Excel
Redash
Tableau
BigQuery

16. Python
Jupyter Notebook
/
Pandas
Jupyter

17.
Python
Jupyter+BigQuery

19.
.env →

20. unittest Excel

21. Python3.4 Enum
Dictionary

22.
Enum

23. Model I/F
Python3.5 TypeHints

24.
BQ
Immutable

25. BQ Python3.6 f-strings
→

26.
Docs
Hello World

27. Python

28.
1.
2. Java Python
3. IntelliJ Python
4.

30.
__init__.py import
1.

31.
1.

32. getter/setter
@Lombok.Data
2. Java Python

33. __init__()
@AllArgsConstructer
2. Java Python

34. pandas dataframe['column']
Python column
ModelMapper
2. Java Python

35. Enum value dictionary
Enum
2. Java Python

36. IntelliJ
3. IntelliJ Python

37.
import .xxx.yyy.zzz import xxx.yyy.zzz
IDE SyntaxError
IDE .
3. IntelliJ Python

38. IntelliJ Refactoring
1
3. IntelliJ Python

39. test
4.

40. Python
Excel
or
4.

41.
Python
Jupyter+BigQuery

43. Q&A

45. teratail

46.
presented by @yuzutas0
https://www.pexels.com/photo/reptile-snake-snape-36448/