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Software Engineer & SRE & Baseball Data Scientist
airflow-docker. Apache Airflow Docker Image.
16scrapy-sample-baseball. Scrapy Project Sample for Baseball(NPB)
14fastapi-starter-kit. FAST API Starter Kit
12pitchpx. Tools for Acquiring MLBAM Gameday dataset
12sabr. SABRmetrics calculator for Python
6retrosheet-mysql-server. MySQL sever for Retrosheet data
5no-ball-app-django. 野球選手名鑑アプリ「no-ball(のぼる)」のDjango Ver.
4retrosheet_ballpark_database. MLB ballpark database for Retrosheet
4baseball-savant-shohei-ohtani2022. Baseball data analytics sample for Shohei Ohtani
3python-crontab-docker-example. PythonのcrontabをDockerで使うサンプルです.
3hatteberg. PyCon JP 2015「野球Hack~Pythonを用いたデータ分析と可視化」のデモです。Retrosheetを利用しています。
2pitchpx-example-pitchfx. pitchpx example for pitch f/x
2no-ball-db-server. PyCon JP 2014「Pythonではじめる野球プログラミング」で発表したアプリのDB Serverです。
2go-retorosheet. Golang scripts for Retrosheet data(Baseball game log & atbat) downloading and parsing(based on py-retrosheet).
2streamlit-sample-ohtani-san. AIオオタニサン本塁打予測 for Streamlit(PyCon JP 2021で使用したデモアプリケーション)
2jupyter-sample-baseball. Jupyter notebook sample for baseball data(NPB)
2br-scraping-npb. Baseball Reference Scraping for NPB
2sample-restful-openai. Python
2py-retrosheet. Python scripts for Retrosheet parsing
2dash-sample. 実践Dash - sample code
1pitchpx-example-ichiro-2016. Analyzing Ichiro Suzuki with pitchpx(Python)
1pynyumon_baseball. Python入門者の集い #4 野球LTサンプルコード
1sample-streamlit-chat-app. Streamlit Chat App sample
1xp2015_baseball_tools. XP祭り2015「アジャイル脳によく効く野球のハナシ」に使ったツール
1baseball-run-expectancy. セイバーメトリクス指標「得点期待値」をPythonで算出するサンプル. MLBのデータを使用.
1streamlit-baseball-sample. streamlitを使ったデータ分析結果可視化アプリのサンプル.
1baseball-savant-crawler-go. Baseball Savant Crawler for Go
1pydata_baseball_sample. 野球でPyDataをはじめるサンプル
1isac_mflcol. "Magnetic Field Line connect Our Life" Server Application
1isac_connect. International Space Apps Challenge 2012 "Magnetic Field Line" Application
1Baseball-Reference-Scraping. Tools to scrape data from baseball reference.
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