March 2022
Beginner to intermediate
796 pages
18h 14m
Korean
Content preview from 파이썬을 활용한 금융 분석(2판) : 파이썬의 기초부터 금융공학, 머신러닝, 퀀트 분석, 매매 시스템 구현까지
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340
3
부
금융 데이터 과학
In [233]: rows.info()
➍
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 345600 entries, 2019-02-04 00:00:00 to 2019-02-07
23:59:59
Data columns (total 3 columns):
ts1 345600 non-null float64
ts2 345600 non-null float64
ts3 345600 non-null float64
dtypes: float64(3)
memory usage: 10.5 MB
In [234]: !rm $path/tstab.h5
➊
TsTable
객체 연결
➋
반복하여 데이터 읽기
➌
시작 날짜 값을 난수화
➍
마지막
DataFrame
객체 읽기
9.5
마치며
SQL
관계형 데이터베이스는 개별 객체/테이블 간에 많은 관계를 보이는 복잡한 자료구조를
다룰 때 이점을 가진다. 반대로 어떤 상황에서는 순수한
NumPy
ndarray
기반이나
pandas
DataFrame
기반의 방식보다 성능이 떨어질 수도 있다.
금융이나 과학기술 분야의 많은 응용 영역에서는 배열 기반의 자료 모델링 방식이 성공적일 수
있다. 이 경우에는
NumPy
입출력 기능을 사용하거나
NumPy
와
PyTables
기능을
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.