Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
阪神タイガース優勝のひみつ - Pythonでシュッと調べた件 / SABRmetrics ...
Search
Shinichi Nakagawa
PRO
October 01, 2023
Research
1.6k
1
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
阪神タイガース優勝のひみつ - Pythonでシュッと調べた件 / SABRmetrics for Python
PyLadies Tokyo 9周年LT
Shinichi Nakagawa
PRO
October 01, 2023
More Decks by Shinichi Nakagawa
See All by Shinichi Nakagawa
LLMの出力を"いい感じに"する技術 / Taming LLM Output: AI Agent Design Patterns with FastAPI
shinyorke
PRO
4
2k
野球解説AI Agentを開発してみた - 2026/02/27 LayerX社内LT会資料
shinyorke
PRO
0
720
WBCの解説は生成AIにやらせよう - 生成AIで野球解説者AI Agentを実現する / Baseball Commentator AI Agent for Gemini
shinyorke
PRO
1
710
自らを強いエンジニアにするための3つの習慣 2025/ Fitter happier more productive
shinyorke
PRO
0
320
生成AI時代におけるSREの進化とキャリア戦略 / Building an Embedded SRE team and my career
shinyorke
PRO
0
190
生成AIを活用した野球データ分析 - メジャーリーグ編 / Baseball Analytics for Gen AI
shinyorke
PRO
1
6.7k
ゼロから始めるSREの事業貢献 - 生成AI時代のSRE成長戦略と実践 / Starting SRE from Day One
shinyorke
PRO
3
9.7k
AI・LLM事業部のSREとタスクの自動運転
shinyorke
PRO
0
590
実践Dash - 手を抜きながら本気で作るデータApplicationの基本と応用 / Dash for Python and Baseball
shinyorke
PRO
2
4.9k
Other Decks in Research
See All in Research
プレイス・ワークショップ秋葉原
izumiyama_lab
1
110
EIRによる不正端末のブロッキング 5G時代におけるデバイス識別と不正対策の進化
stellarcraft
0
140
シングルチャネルマルチトーカー音声認識の進展
ryomasumura
0
320
論文紹介: Understanding Epistemic Language with a Language-augmented Bayesian Theory of Mind
hisaokatsumi
0
170
VRID: View-Invariant Representation through Dual-Axis Transformation for Cross-iew Pose Estimation
satai
3
110
PHTalks Bengaluru - SSRF When All Else Fails
dk999
0
1.2k
Développer des solutions de réduction des émissions de méthane entérique : 1ers résultats Méthane 2030
institudelelevage
PRO
0
120
SAKURAONE:An Open Ethernet-based AI HPC System And Its Observed Workload Dynamicsin a Single-Tenant LLM Development Environment
yuukit
1
610
SAM3を用いたコマ・吹き出しの 領域検出と分割構造からの読み順推定
kzmssk
0
140
PGDM: Physically Guided Diffusion Model for L Downscaling
satai
3
490
GLIM とMegaParticles:正規分布近似の限界とタイトカップリング&パーティクルフィルタの進展 / GLIM and MegaParticles : Progress of the distribution representation in SLAM
koide3
0
870
MM-OVSeg: Multimodal Optical–SAR Fusion for Open-Vocabulary Segmentation in Remote Sensing
satai
3
130
Featured
See All Featured
Crafting Experiences
bethany
1
350
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
panda_program
123
22k
Jess Joyce - The Pitfalls of Following Frameworks
techseoconnect
PRO
1
420
Building a Scalable Design System with Sketch
lauravandoore
464
34k
A Tale of Four Properties
chriscoyier
163
24k
SEO for Brand Visibility & Recognition
aleyda
0
4.7k
No one is an island. Learnings from fostering a developers community.
thoeni
21
3.8k
Evolving SEO for Evolving Search Engines
ryanjones
0
300
How to build a perfect <img>
jonoalderson
1
6k
End of SEO as We Know It (SMX Advanced Version)
ipullrank
3
4.4k
Effective software design: The role of men in debugging patriarchy in IT @ Voxxed Days AMS
baasie
1
530
From Legacy to Launchpad: Building Startup-Ready Communities
dugsong
0
340
Transcript
ʮ͓ࢄาʯΛͨ݁͠Ռ ࡕਆλΠΨʔε͕༏উͨ݅͠. ࡕਆλΠΨʔε༏উΛه೦ͯ͠PythonͰσʔλੳͨ͠Β ࢥΘͣʮͦΒɺͦ͏Αʯͱೲಘͯ͠͠·ͬͨ. Shinichi Nakagawa(@shinyorke) 2023/10/01 PyLadies Tokyo
9पه೦ύʔςΟʔ
Who am I ? ʢ͓લ୭Α?ʣ • Shinichi Nakagawa@shinyorke • େख֎ࢿܥITίϯαϧاۀϚωʔδϟʔ
• ຊۀͰSREతͳࣄΛ͍ͯ͠·͢. • ΤϯδχΞతʹԿͰͰ͖Δਓ. • దͳ⽁ωλ͔ΒLTΛ͢ΔΤϯδχΞͷਓ. • ஶ໊ͳٕज़ϒϩάʮLean Baseballʯͷਓ. • ຖ10,000าఔͷʮ͓ࢄาʯ͕՝. ※͓ࢄาͷূڌ݅
PyLadies Tokyo 9प͓ΊͰͱ͏͍͟͝·͢🎉 ʢ9ܦͬͯ͠·ͬͨͷ͔…ͳ͍ͭʣ
͏Ұ͓ͭΊͰ͍ͨࣄ͕ ͋Γ·͢ΑͶʁ🐯
ࡕਆλΠΨʔε, ηɾϦʔά༏উ͓ΊͰͱ͏͍͟͝·͢🎉 2005Ҏདྷ18ͿΓͷ༏উ🐯
334 ʲ౾ࣝʳ͓ೃછΈͷͪ͜Βͷࣈ18લͷ༏উ͕ΩοΧέͰര.
18ͿΓʹʮ༏উʯΛ Ϳ͔ͪ·ͨ͠ࡕਆλΠΨʔε ݁ہԿ͕ྑ͔ͬͨͷ͔🤔
ࡕਆλΠΨʔε༏উͷཧ༝ʢͲΕਖ਼ղʣ 1. ໊কʮԬాজʯ௨শʮͲΜͰΜʯͷಜ෮ؼ. →18લͷ༏উԬాಜ&ʮͦΒɺͦ͏Αʯͱೲಘߦ໊͘ࡃ. 2. ࣆJAPAN͕༏উͨ͠WBCʹελϝϯڃͷબखΛग़͍ͯ͠ͳ͔ͬͨ. ࡕਆ͔Βதͱ౬ઙͷΈ͔ͭ͞΄Ͳग़ճଟ͘ͳ͍. 3.
ʮ͓ࢄาେࣄʯʮ໎ͬͨΒา͚ʯͱ͍͏ҙࣝͷժੜ͑. ۩ମతʹʮ࢛ٿʢϑΥΞϘʔϧʣʯΛࢁબΜͩ.
ʮʰ͓ࢄาେࣄʱʰ໎ͬͨΒา͚ʱͱ͍͏ҙࣝͷժੜ͑ʯ ͜Ε͕ࡕਆλΠΨʔε༏উͷͬͱΒ͍͠ཧ༝ͩͱσʔλݴͬͯ·ͨ͠.
ࡕਆͷεʔύʔυϥΠͳʮ͓ࢄาʯͷྲّྀ • όολʔࡾৼ͍͍͔ͯ͠Βʮۃʹ͓ࢄาʯ͠ͳ͍͞. • ϐονϟʔࡾৼΛऔΒͳ͍͍͔ͯ͘ΒʮࢄาΛࢭΊΖʯ. ͳ͓ٿʹ͓͚Δʮ͓ࢄาʯʮ࢛ٿʢϑΥΞϘʔϧʣʯͷࣄ. ※εϥϯάతʹʮࢄาʯͱಡΜͰ͍·͢ʢʮา͔ͤΔʯͱ͔ݴ͏ʣ.
ࡕਆλΠΨʔε͓ࢄาͷྲّྀᶃ όολʔࡾৼͯ͠ ͍͍͔Β ʮۃʹ͓ࢄาʯ ͠ͳ͍͞. ࡾৼ͍͍͔ͯ͠Βา͚. 11
ʮދଧઢʯվΊʮ”า”ଧઢʯ • 2023ͷࡕਆλΠΨʔε, νʔϜͱ࢛ͯ͠ٿͷ͕ΊͪΌͪ͘Όଟ͍. • ηɾϦʔάͲ͜Ζ͔ϓϩٿશମͰΠέͯΔग़ྥͷߴ͞. • Ұํ, ࢛ٿΛऔΓʹߦ͘ͷʹͭͨΊࡾৼ૿͍͑ͯΔ.
11ଧ੮ʹ1ճ͓ࢄา͢ΔࡕਆλΠΨʔε͞Μ༏लʢϦʔά1Ґʣ. ࠷ԼҐதυϥΰϯζΑΓ1.5ഒͷϖʔεͰʮ͓ࢄาʯΛྔ࢈.
Ұํ, ࡾઢͷ۶ࢦͰ4.5ଧ੮ʹҰࡾৼ͍ͯ͠ΔʢϦʔάϫʔετʣ. ܭࢉ্ελϝϯͷશଧऀ͕ࢼ߹தʹ1ճࡾৼ͍ͯ͠Δࣄʹ.
2ͭͷάϥϑΛ͚ͬͭͯ͘ࢄา͢ΔॱʹฒͨϞϊ. ࡕਆૉΒ͍͠, Ұํʮྩͷถ૽ಈʯͷத͞Μ(ry
ࡕਆλΠΨʔε͓ࢄาͷྲّྀᶄ ϐονϟʔࡾৼΛ औΒͳ͍͍͔ͯ͘Β ʮࢄาΛࢭΊΖʯ. ૬खͷଧऀΛྥʹग़͔͢Βͣ. 16
૬खͷʮࢄาʯΛઈରʹࢭΊΔखਞ. • 2023ͷࡕਆλΠΨʔε, νʔϜͱͯ͠खͷ༩࢛ٿ͕গͳ͍. • ༩࢛ٿ͕গͳ͍ = ૬खʹ࢛ٿʢࢄาʣΛ͍ͤͯ͞ͳ͍. • ͦͦ͜͜ࡾৼऔΕ͓ͯΓ,
ࡕਆखਞͷ༏ल͕͞Θ͔Δ.
༏लͳࡕਆखਞ, ૬खʹ࢛ٿʢࢄาʣΛ࠷༩͍͑ͯͳ͍ʢϦʔά1Ґʣ. ૬खଧऀʹແବͳ࢛ٿΛग़͞ͳ͍ͱ͍͏పఈͨ͠ํ.
༏लͳࡕਆखਞ, ૬ख͔Βͦͦ͜͜ࡾৼΛୣ͏༷ʢϦʔά4Ґʣ. ࢛ٿ͕ݮΔͱ͍͏͜ͱࡾৼΛऔΕͳ͍ࣄʹܨ͕Δ͕ҧͬͯͨ…ੌ͍🐯
2ͭͷάϥϑΛ͚ͬͭͯ͘ࢄาͤ͞ͳ͍ॱʹฒͨϞϊ. ࡕਆ͕ૉΒ͍͕͠, DeNAͷʮࡾৼͨ͘͞ΜऔΔʯʮ࢛ٿগͳ͍ʯ͔͍͍ͬ͜.
???ʮPythonͷ͕ແ͍͡Όͳ͍͔ʁ͍͍͔͛Μʹ͠Ζʯ
ࠓͷσʔλ શ෦PythonͰ ͍͍ײ͡ʹ🐍 େͨ͠ίʔυ͡Όͳ͍ͷͰͥͻਅࣅͯͬͯ͠Έͯ. https://gist.github.com/Shinichi-Nakagawa/3ca01932532ba41ceaef94bd722107b9 NPBͷWebαΠτΛ εΫϨΠϐϯά Google ColabͰ γϡοͱՄࢹԽ.
ʲ݁ʳࡕਆλΠΨʔεʮ͓ࢄาʯͷྲّྀ • όολʔࡾৼ͍͍͔ͯ͠Βʮۃʹ͓ࢄาʯ͠ͳ͍͞. • ϐονϟʔࡾৼΛऔΒͳ͍͍͔ͯ͘ΒʮࢄาΛࢭΊΖʯ. • ͳ͓, ࢛ٿ͕૿͑Δͱࡾৼ૿͑ΔʢʣͳͷͰ(ry ͓Θ͔Γ͍͚ͨͩͨͩΖ͏͔?
͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠🐯