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
Data Science Env with Docker
Search
hyga2c
May 15, 2019
Technology
2
530
Data Science Env with Docker
Dockerを使って研究環境を整備する
Lightning Talk at みんなのPython勉強会 #45
hyga2c
May 15, 2019
Tweet
Share
Other Decks in Technology
See All in Technology
Bye-Bye Query Spaghetti: Write Queries You'll Actually Understand Using Pipelined SQL Syntax
tobiaslampertlotum
0
130
Snowflakeの生成AI機能を活用したデータ分析アプリの作成 〜Cortex AnalystとCortex Searchの活用とStreamlitアプリでの利用〜
nayuts
0
210
AWS環境のリソース調査を Claude Code で効率化 / aws investigate with cc devio2025
masahirokawahara
2
1.2k
kubellが考える戦略と実行を繋ぐ活用ファーストのデータ分析基盤
kubell_hr
0
130
実運用で考える PGO
kworkdev
PRO
0
130
JuniorからSeniorまで: DevOpsエンジニアの成長ロードマップ
yuriemori
2
360
2025年にHCP Vaultを学び直して見えた景色 / Lessons and New Perspectives from Relearning HCP Vault in 2025
aeonpeople
0
170
コスト削減の基本の「キ」~ コスト消費3大リソースへの対策 ~
smt7174
2
340
Skrub: machine-learning with dataframes
gaelvaroquaux
0
110
JavaScript 研修
recruitengineers
PRO
6
1.5k
まだ間に合う! StrandsとBedrock AgentCoreでAIエージェント構築に入門しよう
minorun365
PRO
11
830
AIエージェントの活用に重要な「MCP (Model Context Protocol)」とは何か
masayamoriofficial
0
280
Featured
See All Featured
The Power of CSS Pseudo Elements
geoffreycrofte
77
5.9k
Practical Orchestrator
shlominoach
190
11k
Done Done
chrislema
185
16k
Music & Morning Musume
bryan
46
6.8k
Fight the Zombie Pattern Library - RWD Summit 2016
marcelosomers
234
17k
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
eileencodes
36
2.5k
GraphQLとの向き合い方2022年版
quramy
49
14k
Building an army of robots
kneath
306
46k
Building Adaptive Systems
keathley
43
2.7k
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
4k
Learning to Love Humans: Emotional Interface Design
aarron
273
40k
Scaling GitHub
holman
463
140k
Transcript
%PDLFSΛͬͯ ݚڀڥΛඋ͢Δ ΈΜͳͷ1ZUIPOษڧձ
rOJLLJF!ΈΜͳͷ1ZUIPOษڧձ lڥߏஙΛΓӽ͑ͯ࠷ॳͷޭΛମݧͨ͠ΒɺTUBQZͰ-5͠·ͤΜ͔ʁz
ࣗݾհ w ฌݿ३ࢤ w !):0@(0 w ༀձࣾͷݚڀ։ൃ෦*5اը͓ੈ w झຯͰσʔλݚڀࢦͯ͠·͢ ࢦͤ͞ΜͰʙͰʙͨʙ͍͑͞Μͯ͌͢ͱ
w ݩੜԽֶݚڀऀɺݩҩༀ։ൃʢن੍Պֶʣݚڀऀ
.PUJWBUJPO w ʢझຯͷʣݚڀͷͨΊʹ1ZUIPOͰσʔλαΠΤϯε͍ͨ͠ w ʢͰ͖ΔݶΓʣ࠷৽ͷख๏छछͷσʔλࢼͯ͠Έ͍ͨ w 5FOTPS'MPX $IBJOFS w 3%,JU
1VCDIFNQZ
.PUJWBUJPO ͳͷͰ
.PUJWBUJPO w ͍Ζ͍ΖͬͯΈΔˠࣦഊ͢Δ w QJQͱBOBDPOEB·ࣦͥͯഊ w $BOPQZͱ1ZDIBSNڞଘʹࣦഊ w 1ZUIPOͷόʔδϣϯ্͛ͨΒ5FOTPS'MPXಈ͔ͳ͍ w
DVEBͷόʔδϣϯ͕ɻɻɻ w QZFOWͱDPOEBͱQJQͱ͔ɺ·͢·͢Θ͔Βͳ͘ͳ͖ͬͯͨ
.PUJWBUJPO ڥߏஙʹ͏͕࣌ؒഅࣛʹͳΒͳ͍ Ͳ͏ͨ͠Βʁ Ͳ͏Β%PDLFSΛ͏ͱͤʹͳΕΔΒ͍͠
࠷ॳͷޭ w ʢࣦഊͷੵΈॏͶͷޙʹʣ5FOTPS'MPXڥͷߏஙʹޭ w %PDLFSલɿ5FOTPS'MPXͷόʔδϣϯͱ͔DVEBͷόʔδϣϯͱ͔શ͘ ཧղग़དྷࣦͣഊͷ࿈ଓʼ͍ͭʹ6CVOUVͷ࠶Πϯετʔϧ·Ͱ w %PDLFSಋೖτϥΠޙ w ࠷ॳͷࣦഊˠ2JJUBͷݹ͍هࣄΛࢀর͍ͯͨ͠
ཧ༝ɿࣗͷڥͷDVEBͷόʔδϣϯ͕৽͗ͨ͢͠ w ೋͰޭˠޭͷݪҼɿ5FOTPS'MPXެࣜΛࢀর w IUUQTXXXUFOTPSqPXPSHJOTUBMMEPDLFS w ڭ܇ɿͱʹ͔͘ݪయʹ͋ͨΔ
࣍ͷஈ֊ w ͜Εศར͔͠Εͳ͍ w Ͱɺ5FOGPS'MPXެࣜͷͱ͓Γʹ͍ͬͯΔz͚ͩzͳͷͰ w ԿΛ͍ͬͯΔ͔͕Θ͔Βͳ͍
࣍ͷஈ֊ wͦ͏ͩɻɻɻษڧ͠Α͏ wϚϯΨͰΘ͔Δ%PDLFSͰ֓೦ཧղͯ͠ wϚϯΨͰΘ͔Δ%PDLFSͰ͏গ͠ৄ͘͠ͳͬͯ w%PDLFS,VCFSOFUFT࣮ફίϯςφ։ൃೖΛಡΈ࢝ΊͨɹˡɹΠϚίί
ͭΊͷޭ w 4DJQZ+BQBOͰσʔλαΠΤϯεݚڀͷ࠶ݱੑͷॏཁੑΛ࠶ ೝࣝ w "OBDPOEBc4DJQZ +VQZUFSͷੳڥ%PDLFSͰ࡞ͬͨ Β࠶ݱੑ֬อʹ༗ޮͳͷͰʁʁʁ w ͦ͏͍͑ɺϚϯΨͰΘ͔Δ%PDLFSʹɺ%PDLFSΛ͏
ͱႈੑ͕อͨΕΔͬͯදݱ͕ɻɻɻ ϚϯΨͰΘ͔Δ%PDLFSɹື͍͋ஶɹΑΓ
ͭΊͷޭɿ%PDLFSͰ+VQZUFS w %PDLFSͬͨ+VQZUFSڥߏஙͷ ެࣜ(JUIVCެࣜϖʔδ͋Δʂ w ࢀߟɿ%PDLFSͰجຊతͳ%BUB 4DJFODFڥ +VQZUFS 1ZUIPO
3 +VMJB ఆ൪ϥΠϒϥϦ Λߏங ͢Δɻ
ͭΊͷޭɿ%PDLFSͰ+VQZUFS w ϝϦοτ w ඞཁͳύοέʔδΛ·ͱΊ֤ͨछͷ %PDLFS*NBHF͕छྨ४උ͞Ε͍ͯΔ w %PDLFS*NBHFΛSVO͢ΔࡍʹUBHΛࢦఆ ͢Εຖճಉ͡ڥ͕ߏங͞ΕΔ w
ඞཁͳΒ%PDLFS'JMFΛฤूͯ͠ಠࣗͷ ڥ࡞Մೳʢݚڀதʣ
࣮ࡍʹԿΛ͍ͬͯΔ͔ w SNίϯςφऴྃ࣌ʹίϯςφࣗಈআ w Qϙʔτࢦఆɹʢ%PDLFSίϯςφʹΞΫηε͢Δϙʔτ൪߸ͱGPXBSEJOHΛࢦఆʣ w FڥมࢦఆʢࠓճىಈޙʹKVQZUFSMBCTΛىಈʣ w OBNFίϯςφͷ໊લࢦఆʢSN͢ΔͳΒ w
WσΟϨΫτϦͷڞ༗ˠϗετଆͷσΟϨΫτϦ NOUTTEXPSL ͱίϯςφͷʢIPNF KPWZBOXPSL σΟϨΫτϦΛಉظ w $ docker run --rm -p 8888:8888 \ -e JUPYTER_ENABLE_LAB=yes\ --name jupyter-labs\ -v /mnt/ssd/work/:/home/jovyan/work\ jupyter/scipy-notebook
࣮ࡍʹԿΛ͍ͬͯΔ͔ w ίϯςφىಈޙʹλʔϛφϧʹදࣔ͞ΕΔτʔ ΫϯΛίϐʔɻ w ϒϥβͰIUUQMPDBMIPTU ʹΞΫη ε
࠷ޙʹ w σʔλαΠΤϯεʹ%PDLFS͓͢͢ΊͰ͢ w ϩʔΧϧͰಈ͖·͢ w αʔόʔ্ʹཱ͍͍ͯͯ͢Ͱ͢ w "84ͱ͔($1ͱ͔Ͱಈ͖·͢ʢ͜Εࢼ͍ͯ͠·ͤΜʣ w
ଟΞϓϦ։ൃͱ͔8FC։ൃʹ༗ޮͳͣʢσϓϩΠ·Ͱʁʣ w -FU`T&OKPZ1ZUIPO-JGFXJUI%PDLFS