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
6.7k
AI・LLM事業部のSREとタスクの自動運転
shinyorke
PRO
0
520
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
4.1k
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
izumin5210のプロポーザルのネタ探し #tskaigi_msup
izumin5210
1
140
Smart Handoff/Pickup ガイド - Claude Code セッション管理
yukiigarashi
0
150
Lambda のコードストレージ容量に気をつけましょう
tattwan718
0
140
なるべく楽してバックエンドに型をつけたい!(楽とは言ってない)
hibiki_cube
0
140
CSC307 Lecture 10
javiergs
PRO
1
660
CSC307 Lecture 09
javiergs
PRO
1
840
AI Schema Enrichment for your Oracle AI Database
thatjeffsmith
0
330
AIエージェント、”どう作るか”で差は出るか? / AI Agents: Does the "How" Make a Difference?
rkaga
4
2k
360° Signals in Angular: Signal Forms with SignalStore & Resources @ngLondon 01/2026
manfredsteyer
PRO
0
140
AIエージェントのキホンから学ぶ「エージェンティックコーディング」実践入門
masahiro_nishimi
6
650
今こそ知るべき耐量子計算機暗号(PQC)入門 / PQC: What You Need to Know Now
mackey0225
3
380
Oxlintはいいぞ
yug1224
5
1.4k
Featured
See All Featured
Build your cross-platform service in a week with App Engine
jlugia
234
18k
A brief & incomplete history of UX Design for the World Wide Web: 1989–2019
jct
1
300
SEO for Brand Visibility & Recognition
aleyda
0
4.2k
Beyond borders and beyond the search box: How to win the global "messy middle" with AI-driven SEO
davidcarrasco
1
57
Believing is Seeing
oripsolob
1
58
More Than Pixels: Becoming A User Experience Designer
marktimemedia
3
330
DBのスキルで生き残る技術 - AI時代におけるテーブル設計の勘所
soudai
PRO
62
50k
BBQ
matthewcrist
89
10k
Primal Persuasion: How to Engage the Brain for Learning That Lasts
tmiket
0
260
What Being in a Rock Band Can Teach Us About Real World SEO
427marketing
0
170
Crafting Experiences
bethany
1
50
Designing Dashboards & Data Visualisations in Web Apps
destraynor
231
54k
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)