Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
33分4秒ではじめるPy “Baseball” Data入門
Search
Shinichi Nakagawa
PRO
February 20, 2017
Programming
2
380
33分4秒ではじめるPy “Baseball” Data入門
#PyNyumon #4 2017/2/20 LT登壇資料
すべてのPython初心者&野球好きに贈る
Shinichi Nakagawa
PRO
February 20, 2017
Tweet
Share
More Decks by Shinichi Nakagawa
See All by Shinichi Nakagawa
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
270
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
130
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
5.9k
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
2
6.6k
AI・LLM事業部のSREとタスクの自動運転
shinyorke
PRO
0
510
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
4k
Terraform, GitHub Actions, Cloud Buildでデータ基盤をProvisioningする / Data Platform provisioning for Google Cloud and Terraform
shinyorke
PRO
2
3.6k
Cloud RunとCloud PubSubでサーバレスなデータ基盤2024 with Terraform / Cloud Run and PubSub with Terraform
shinyorke
PRO
9
4.3k
自らを強いエンジニアにするための3つの習慣 / I need to be myself, I can't be no one else
shinyorke
PRO
86
91k
Other Decks in Programming
See All in Programming
AIによるイベントストーミング図からのコード生成 / AI-powered code generation from Event Storming diagrams
nrslib
2
1.8k
【卒業研究】会話ログ分析によるユーザーごとの関心に応じた話題提案手法
momok47
0
190
疑似コードによるプロンプト記述、どのくらい正確に実行される?
kokuyouwind
0
370
IFSによる形状設計/デモシーンの魅力 @ 慶應大学SFC
gam0022
1
290
KIKI_MBSD Cybersecurity Challenges 2025
ikema
0
1.3k
コントリビューターによるDenoのすゝめ / Deno Recommendations by a Contributor
petamoriken
0
200
LLM Observabilityによる 対話型音声AIアプリケーションの安定運用
gekko0114
2
410
CSC307 Lecture 05
javiergs
PRO
0
490
OCaml 5でモダンな並列プログラミングを Enjoyしよう!
haochenx
0
110
責任感のあるCloudWatchアラームを設計しよう
akihisaikeda
3
140
Fluid Templating in TYPO3 14
s2b
0
120
TerraformとStrands AgentsでAmazon Bedrock AgentCoreのSSO認証付きエージェントを量産しよう!
neruneruo
4
2.7k
Featured
See All Featured
Thoughts on Productivity
jonyablonski
74
5k
How Software Deployment tools have changed in the past 20 years
geshan
0
32k
Practical Orchestrator
shlominoach
191
11k
技術選定の審美眼(2025年版) / Understanding the Spiral of Technologies 2025 edition
twada
PRO
117
100k
Effective software design: The role of men in debugging patriarchy in IT @ Voxxed Days AMS
baasie
0
220
Paper Plane (Part 1)
katiecoart
PRO
0
3.8k
<Decoding/> the Language of Devs - We Love SEO 2024
nikkihalliwell
1
120
Darren the Foodie - Storyboard
khoart
PRO
2
2.3k
Building Better People: How to give real-time feedback that sticks.
wjessup
370
20k
Deep Space Network (abreviated)
tonyrice
0
42
Navigating the Design Leadership Dip - Product Design Week Design Leaders+ Conference 2024
apolaine
0
170
The Cost Of JavaScript in 2023
addyosmani
55
9.5k
Transcript
334ඵͰ͡ΊΔ Py “Baseball” Dataೖ Shinichi Nakagawa @shinyorke (ٿPythonͷਓ)
Who am I ? • Shinichi Nakagawa(@shinyorke) • Retty. Inc
Engineer/Tech Lead • Python/PyData/Baseball Science/Agile • ٿͷਓʮٿʯʮPythonʯͰݕࡧʂ • Ͳ͜ͷνʔϜͷϑΝϯ͔͍ͯͩ͘͠͞
͜ΕΛॻ͍ͨਓͰ͢(࣮) ॳ৺ऀ͕PythonΛ֮͑ΔҝͷຊͷબͼํΛମܥԽͯ͠Έͨ(2017൛) http://shinyorke.hatenablog.com/entry/2017/01/15/170602
Starting member • PyData #ͱ • Py Baseball Data #ͱ
• 334ඵ(ఔ)ͰͰ͖ΔPy “Baseball” Data • ·ͱΊ
PyData #ͱ
“”” PyDataͱσʔλੳσʔλ׆༻ ʹPythonͳΒͼʹPython Library Λ ར༻͠Α͏ͱ͍͏ਓྨͷӦΈͷ૯শ “”” ※@iktakahiro ͞Μͷ͓ݴ༿ΑΓൈਮ http://www.slideshare.net/
iktakahiro/pydata-67913897
PyDataɹ˞ݸਓతͳղऍͱݟղ • ਓྨ͕ͨ͠,͘͜͠Ε͔Β͢σʔλΛ,Pythonͷ ΤίγεςϜͰੳ&(ϚτϞʹ)׆༻͠Α͏ʂͱ͍͏ӦΈ. • PyDataͷ݁Ռ,Πϊϕʔγϣϯ͕ى͖ͨΓؔΘΔਓୡ͕ ͤʹͳͬͨΒ͍͍ͳ. • ExcelͷΘΓʹPython, ΨνͷػցֶशɾDeep
Learning, ٿσʔλΛָ͍ͬͯ͡͠Ήetc…શ෦PyDataͩΑʂ
Py Baseball Data #ͱ
“”” Py Baseball Dataͱ, ٿ౷ܭֶٴͼ,ͳΜJͳωλ࡞ΓͷͨΊ, PythonͳΒͼʹPython Library Λ ར༻͠Α͏ͱ͍͏, ʮ͖͏ຽ(ٿϑΝϯ)ʯͷӦΈͷ૯শ
“”” ※ࢲ(@shinyorke)͕࡞ͬͨޠ
ࣄྫ ʲॳ৺ऀ͚ʳ334ඵͰ͓΅͑Δٿ౷ܭֶͱPyDataʙཅଲ߯Λఴ͑ͯ http://qiita.com/shinyorke/items/ee58a82ad589f7f4c446
ࠓΔ͜ͱ • Python 3(3.6.0)͕ಈ͘ڥΛ࡞Δ • PyDataڥΛ࡞Δ&ಈ͔͢ • WBCຊදࡔຊ༐ਓ(G)ͷΛ࣋ͬͯ͘Δ #͠ •
લॲཧͱՄࢹԽ,ηΠόʔϝτϦΫεΛͬͯΈΔ • ॴཁ࣌ؒɿ334ඵ #ͳΜͰࡕਆؔͳ͍Ζ • https://github.com/Shinichi-Nakagawa/pynyumon_baseball/blob/ master/hayato_sakamoto.ipynb
Python 3(3.6.0)ڥΛ࡞Δ ~ ᐅ # Mac OS X(macOS)ͷ߹Ͱ͢,ଞͷOS্ख͘άά͍ͬͯͩ͘͞. ~ ᐅ
brew install python3 ~ ᐅ python3 -m venv ~/Document/yakiu # venvͰڥ࡞Δ(PathͲ͜Ͱ) ~ ᐅ source ~/Documents/yakiu/bin/activate # ԾڥΛ༗ޮԽ͢ΔΑ
PyDataڥΛ࡞Δ&ಈ͔͢ $ # Mac OS X(macOS)ͷ߹Ͱ͢,ଞͷOS্ख͘άά͍ͬͯͩ͘͞. (yakiu) ~ ᐅ pip
install ipython pandas beautifulsoup4 numpy lxml html5lib jupyter matplotlib seaborn (yakiu) ~ ᐅ jupyter notebook
ଓ͖ͪ͜ΒͰ(ࢼͯ͠Έͯ) https://github.com/Shinichi-Nakagawa/pynyumon_baseball/ blob/master/hayato_sakamoto.ipynb
·ͱΊ • ͦΒ(PythonDataڥ࡞Γָ͕Ͱ) ͦ͏(ࡔຊ༐ਓϝνϟΫνϟੌ͍ʹ) Αɹ(ܾ·͍ͬͯΔ͡Όͳ͍͔) • ٿ͖ͳΒ,PyDataٿ͔Βೖͬͨ΄͏͕Γ͍͢ͱ ࢥ͍·͢ʂ(ݸਓͷݟղ) • ٿʹݶΒͣ,͖ͳςʔϚɾதͰ͖ΔϞϊͰγϯϓϧʹ
͡ΊΔͷ͕ྑ͍ͱࢥ͏Αʂ #ଃΔݴ༿
ήʔϜηοτʂʂʂ ͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠. Shinichi Nakagawa(Twitter/Facebook:@shinyorke)