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
Charty on Rails - Railsdm 2019
Search
Sponsored
·
SiteGround - Reliable hosting with speed, security, and support you can count on.
→
秒速284km
March 23, 2019
Programming
2.4k
3
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Charty on Rails - Railsdm 2019
Charty on Rails - Railsdm 2019
秒速284km
March 23, 2019
More Decks by 秒速284km
See All by 秒速284km
fukuoka_ruby_2019
284km
0
210
Rubyアソシエーション開発助成成果報告会
284km
0
2.6k
Charty - Visualize Real-world Data with Ruby
284km
1
2.9k
Charty - Visualizing your data in Ruby
284km
0
2.7k
.so にして色々な言語から便利にのっかろう
284km
0
110
Pragmatic Charty
284km
0
2.7k
Charty with Rails
284km
1
110
Charty (RubyGrant 2018)
284km
0
2.8k
Better CSV processing with Ruby 2.6
284km
0
130
Other Decks in Programming
See All in Programming
3回つくってわかった、 定期実行ジョブ基盤の本質情報
takai
4
3.2k
あなたの await、OS まで届いてる? strace で覗く JavaScript の非同期
hasutosasaki
1
1.5k
なぜCTOを降りてFDEを選んだのか?〜なぜプロダクト企業がFDEで顧客の現場に踏み込むのか〜
gonta
1
240
パスワード再設定メールのURLについて知っておこう
uyuki234
0
190
當我們開始不讀 Code - AI Agent 時代,Code Review 與 Clean Code 還剩下什麼?
jame2408
1
330
気持ちぃ〜角丸 Squircle
ryu1013
0
340
クラウドエージェントは、 何がそんなに便利なのか / what makes cloud agents so useful
rkaga
3
550
自作Discord音声botをLambda MicroVMsに移行した話 / Migrating My Discord Voice Bot to Lambda MicroVMs
akihisaikeda
0
150
作れる、でも消せるか?──安全に「枯らして消す」機能削除術 / Drain, Then Delete
chobishiba
2
1k
Kotlinの15年とServer-Side Kotlin
n_takehata
1
170
Next.js: The final boss of Web Performance
guaca
0
340
우리의 Nitro Modules는 당신의 Turbo Modules보다 아름답다
l2hyunwoo
0
220
Featured
See All Featured
Stewardship and Sustainability of Urban and Community Forests
pwiseman
0
560
4 Signs Your Business is Dying
shpigford
187
23k
Being A Developer After 40
akosma
PRO
92
590k
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
35
2.6k
Writing Fast Ruby
sferik
630
63k
Side Projects
sachag
456
43k
Tell your own story through comics
letsgokoyo
1
1.1k
Self-Hosted WebAssembly Runtime for Runtime-Neutral Checkpoint/Restore in Edge–Cloud Continuum
chikuwait
0
900
Efficient Content Optimization with Google Search Console & Apps Script
katarinadahlin
PRO
1
940
How STYLIGHT went responsive
nonsquared
100
6.3k
The Spectacular Lies of Maps
axbom
PRO
1
1.1k
Building the Perfect Custom Keyboard
takai
2
920
Transcript
$IBSUZPO3BJMT 3BJMTEN ඵ!LN
None
None
- ͕ࣗલʹਐΉͨΊͷൃද - ࣗҎ֎ͷલʹਐΈ͍ͨਓ͕લ ʹਐΈ͘͢ͳΔൃද - ։ൃʹࢀՃ͢Δਓ͕૿͑Δൃද ࢿྉΛ࡞Γऴ͑ɺࠓ͜Μͳൃද͕ Ͱ͖ͨΒ͍͍ͳͱߟ͍͑ͯ·͢
- Charty ͬͯɺ͜͏͍͏ͷͳΜͩʂ - ͜ͷਓ (ͨͪ) ɺͦ͏͍͏׆ಈΛͯ͠ ͍ΔΜͩͶʂ - ࢲ։ൃ͢Δ͜ͱʹڵຯ͋Δ͔Βɺ
ࢀՃͯ͠ΈΑ͏ʂ 30 ޙ͜͏ͳͬͨΒ͍͍ͳ
·ͣݟͯ΄͍͠ σϞΛ͠·͢ʂʂ
red-data-tools/Charty 284km/benchmark_driver- output-charty
ࠓ͜ͷɺ Charty ͷ͓
What is Charty ? Charty is an open-source Ruby library
for visualizing your data in a simple way. https://github.com/red-data-tools/charty
In Charty, you need to write very few lines of
code for representing what you want to do. It lets you focus on your analysis of data, instead of plotting. i.e. We aim at convenience. What Charty is focusing on
1/11 => Intermediate Report 3/11 => Final Report https://www.ruby.or.jp/en/news/20181106 ΘΓͱΒΕ͍ͯͳ͍ʁΑ͏ͳͷͰհ͠·͢
Ruby Association Grant 2018
Charty ͷ ಛ
Convenient 2 ͭͷநϨΠϠΛ͍࣋ͬͯΔ ͕ Charty ͷಛͰ͢ - Data Abstraction Layer
- Plotting Abstraction Layer
Abstraction Layer - Data Abstraction Layer - Input (Data Structure)
- Plotting Abstraction Layer - Output (Plotting Library)
Abstraction Layer ݴޠΘͣɺ༷ʑͳ σʔλߏɺ Visualization Library Λ ͖ͳΈ߹ΘͤͰ͏ ͜ͱΛՄೳʹ͢Δɻ
Data Abstraction Layer ݱࡏରԠ͍ͯ͠Δσʔλߏɺ - Daru::DataFrame - Numo::NArray - NMatrix
- ActiveRecord
Data Abstraction Layer ݱࡏରԠ͍ͯ͠Δσʔλߏɺ - Daru::DataFrame => pandas - Numo::NArray
=> numpy.ndaray - NMatrix => numpy.ndaray - ActiveRecord
Plotting Abstraction Layer - Matplotlib - Gruff - rubyplot
Plotting Library - Matplotlib - Python ͷϥΠϒϥϦɻଟػೳɻҰ൪ଟ͘ͷάϥϑͷछྨΛϓϩοτՄೳɻ - Gruff -
Ruby ͷ plotting libraryɻRMagic (Imagimagic ʹґଘ͍ͯ͠Δ) - Mac Λ͍ͬͯΔํ default Ͱ Imagemagic 7 ͕ install ͞ΕΔ͚Ͳ RMagic ͕ ରԠ͍ͯ͠ͳ͍ɻ - Watson ͞Μ͕͜ͷลΓͷ։ൃΛਐΊͯ͘Ε͍ͯΔɻWatson ͞Μ͋Γ͕ͱ͏
Plotting Library - rubyplot - GSoC 2018 Ͱ࠾͞ΕͨϓϩδΣΫτͰɺܧଓͯ͠։ൃதͷ Plotting Library
- Charty ͱ rubyplot ͷ࿈ܞΛ͢Δ·ͰʹɺSciRuby ͷϑΥʔϥϜͰձΛͨ͠ ΓɺRed Data Tools ͷ։ൃͷू·Γʹ࡞ऀͷ Sameer ͕དྷͯ͘ΕͨΓͱɺͦ͏͍ ͏ڠྗ͕͋ͬͨΓͨ͠ͷ͓͠Ζ͔ͬͨͰ͢ɻ͓͠Ζ͔͚ͬͨͩ͡Όͳ͘ ͯɺ࣮ࡍ͜͏͍͏ྲྀΕΛগ͕ͣͭࣗͨͪ͠࡞͍ͬͯ͘ͱ͍͏ͷେࣄͩͱࢥ ͏ΜͰ͢ΑͶɻେࣄͩͱࢥ͏͔ΒɺࣗʹͰ͖ͦ͏ͳػձ͕ͷલʹ͋ͬͨͷ ͰͬͯΈ·ͨ͠ɻ
Abstraction Layer Python ͷϥΠϒϥϦ Holoviews ͷࢥʹ͍ۙɻ Charty ͷ౷Ұ͞Εͨ෦ Interface Λߟ͑Δࡍʹɺ
Holoviews ͷίʔυΛࢀߟ ʹͨ͠
ࢀߟʹͨ͠ϥΠϒϥϦͳͲ - holoviews (Python) - Gadfly.jl (Julia) - ggplot2 (R)
- Julia Package GR (GR Framework) - Python Package GR (GR Framework) - PyCall Λհͯ͠͏ϥΠϒϥϦͷ࣮ (matplotlib.rb, matplotlib, pyplot ͱ͔) - ଞʹ͍Ζ͍Ζ……
ͳʹ͕Ұ൪͍ͨΜ͔ͩͬͨ @mrkn ͕ॻ͍ͨ͜ͱͷҙຯΛΛͬͯཧղͨ͠ https://magazine.rubyist.net/articles/0055/0055-pycall.html ͦͷதͰಛʹɺ”ಓ۩Λ࡞Ζ͏ͱ͢Δਓ͕͍ͳ͍” ͷ෦ɻ
͋·ΓҰൠతʹ͑ͳ͍γϯϓ ϧͳπʔϧΛ࡞Ζ͏ͱ͢Δਓ͍ ͯྑ͍ͱࢥ͍·͢ɻ ͦͷΑ͏ͳ ਓͰ͢Β΄ͱΜͲଘࡏ͠ͳ͍ͷ͕ ݱࡏͷ Ruby ίϛϡχςΟͷঢ়گͰ ͢ɻͳͥͳͷͰ͠ΐ͏ʁ
ͦΕɺ࡞Γ࢝ΊΑ͏ ͱͨ͠ਓʹର͢Δେ͖ ͳোน͕ 2 ͭଘࡏ͢Δ ͔ΒͰ͢ɻ
োนͷ 1 ͭɺྻάϥϑΟοΫεػ ೳͳͲɺجૅͱͳΔػೳΛఏڙ͢ΔϥΠϒϥϦ ͷఆ൪͕ଘࡏ͠ͳ͍͜ͱͰ͢ɻ ͦͷͨΊɺԿ͔ Λ࡞Γ࢝ΊΔલʹɺݱࡏͲͷΑ͏ͳϥΠϒϥϦ ͕ଘࡏͯ͠ɺͦΕͧΕ͕ͲΜͳػೳΛఏڙͯ͠ ͍ͯɺͦΕΒͷ࣮Ͳͷ͘Β͍৴༻Ͱ͖Δͷ ͔Λௐࠪ͠ͳ͚ΕͳΒͳ͍ͷͰ͢ɻ
໘ष͘ ͯͬͯΒΕ·ͤΜͶɻ
োนͷ 2 ͭɺࣄͰػցֶश౷ܭੳΛ ͍ͬͯΔਓͷଟ͕͘ࣄͰ Python R Λͬ ͍ͯͯɺRuby ͷͨΊʹࣗͰ࡞ͬͨͷΛ
ࣄͰ͑Δػձ͕΄ͱΜͲແ͍͜ͱͰ͢ɻ ϓϥ ΠϕʔτͰػցֶश౷ܭੳΛΔػձ͕͋ Δͱͯ͠ɺࣄͰ͍׳Ε͍ͯΔڥΛ͏ ํ͕ྑ͍ͱߟ͑Δਓଟ͍Ͱ͠ΐ͏ɻ
ͦΕͰ࣌ΑΓ ͍ͣͿΜָͳͷͩΖ͏͚ΕͲɺ ྫɿ PyCall ͕͋Δ͔ΒͶɻ Red Data Tools, SciRuby ͳͲͷ͕ؒ૿͍͑ͯΔ͔ΒڠྗՄೳ
Θ͔Βͳ͍͜ͱ͕ͨ͘͞Μ Ruby ʹݶΒͣ Visualization library ͷͲ͏ͳͷ͔ʁ ͳʹ͕ΘΕ͍ͯΔʁͦΕͳͥʁͳʹ͕ΘΕͳ͍ʁ ͲΕ͕༏Ε͍ͯΔʁͲΕ͕γϯϓϧʁͲΕ͕ະདྷ͕͋Δʁ ݱ࣮ੈքͰͷɺ࣮ࡍͷϢʔεέʔεʁʁʁ
ௐࠪʹཁ͢Δ࣌ؒ ͜Εʹඇৗʹ͕͔͔࣌ؒͬͨ͠ɺ ͜Ε͚͍ͩͬͯͯ GitHub ʹ͕ੜ͑·ͤΜ ʢผʹؾʹ͍ͯ͠ͳ͍͚ΕͲʣ ίϛοτ͕ੵΊ·ͤΜ ֎͔ΒݟͨΒɺίʔυॻ͍ͯΜͷʁঢ়ଶͷݫ͍͠ظؒ
Red Data Tools ͷϙϦγʔ https://red-data-tools.github.io/ja/ 1. RubyίϛϡχςΟʔΛ͑ͯڠྗ͢Δ 2. ඇ͢Δ͜ͱΑΓखΛಈ͔͢͜ͱ͕େࣄ 3.
Ұճ͚ͩͷ׆ൃͳ׆ಈΑΓখ͍͍ͯ͘͞ͷͰܧଓతʹ׆ಈ͢Δ͜ͱ͕େࣄ 4. ݱ࣌ͰͷࣝෆͰͳ͍ 5. ෦֎ऀ͔Βͷඇؾʹ͠ͳ͍ 6. ָ͘͠Ζ͏ʂ
Red Data Tools ͷϙϦγʔ https://red-data-tools.github.io/ja/ 1. RubyίϛϡχςΟʔΛ͑ͯڠྗ͢Δ 2. ඇ͢Δ͜ͱΑΓखΛಈ͔͢͜ͱ͕େࣄ 3.
Ұճ͚ͩͷ׆ൃͳ׆ಈΑΓখ͍͍ͯ͘͞ͷͰܧଓతʹ׆ಈ͢Δ͜ͱ͕େࣄ 4. ݱ࣌ͰͷࣝෆͰͳ͍ 5. ෦֎ऀ͔Βͷඇؾʹ͠ͳ͍ 6. ָ͘͠Ζ͏ʂ ·͋ɺίʔυ͕ޙ͔Βग़ͯ͘Δ͔ ΒͦΕͰ͍͍͔…ɻͱࢥ͍ͬͯ ͚ͨͲɺ ͦͷ࣌ظ 2, 5 ͋ͨΓΛؾΛ͚ͭ ͍ͯ·ͨ͠Ͷɻ ࣗͷϞνϕʔγϣϯΛԼ͛ͳ͍ ͜ͱΛԿΑΓ͍ͩ͡ʹͨ͠ɻ
݁ہԿΛࢥͬͯ׆ಈ͍ͯ͠Δͷ͔ͳ https://red-data-tools.github.io/ja/ 1. RubyίϛϡχςΟʔΛ͑ͯڠྗ͢Δ 2. ඇ͢Δ͜ͱΑΓखΛಈ͔͢͜ͱ͕େࣄ 3. Ұճ͚ͩͷ׆ൃͳ׆ಈΑΓখ͍͍ͯ͘͞ͷͰܧଓతʹ׆ಈ͢Δ͜ͱ͕େࣄ 4. ݱ࣌ͰͷࣝෆͰͳ͍
5. ෦֎ऀ͔Βͷඇؾʹ͠ͳ͍ 6. ָ͘͠Ζ͏ʂ ·͋ɺίʔυ͕ޙ͔Βग़ͯ͘Δ͔ ΒͦΕ͍͍͔…ɻͱࢥ͍ͬͯͨ ͚Ͳɺ ͦͷ࣌ظ 2, 5 ͋ͨΓΛؾΛ͚ͭ ͍ͯ·ͨ͠Ͷɻ ࣗͷϞνϕʔγϣϯΛԼ͛ͳ͍ ͜ͱΛԿΑΓ͍ͩ͡ʹͨ͠ɻ લʹਐΈ͍ͨͷͰ͋ͬͯɺͦͷͨΊʹͻͱͭͣͭੵΈ͋͛Δ ͔͠ͳ͍ͱࢥ͏ɻ Ͳ͏ͨ͠ΒੵΈ্͛ΒΕΔ͔ͬͯݴ͏ͱɺ࣮ߦͯ͠ɺվળͯ͠ɺ࣮ ߦͯ͠ɺͷ܁Γฦ͠ɻ ͦͷઌָ͕͠ΈͩͬͨΓɺ৴͡ΒΕΔͳΒͦΕΛࢭΊͨ͘ͳ͍ ͨͩͦ͏͍͏͜ͱ͚ͩΛେʹͯ͠ɺ͍ͳ͜ͱʹɺࠓಉ͡Α͏ ͳ͜ͱΛߟ࣮͑ߦ͢Δਓୡͱڠྗͯ͠ઌʹਐΊΔ͜ͱ͕ग़དྷ͍ͯΔ
ݱࡏͷঢ়ଶΛݴޠԽ ͯ͠ΈͨΒͦ͏ͳΓ ·ͨ͠ɻ
ਐΊํʹ͕ඞཁͩͬͨ͜ͱ - Plotting Library ͔Β࣮Λ͡Ίͨ - ͜ΕɺCharty ͷҰ൪ຊ࣭తͳಈ࡞ɺάϥϑΛඳը͢Δ͜ͱ͔ͩΒ - ݁Ռ(Ռ)
ͱͯ͠Ұ൪Θ͔Γқ͍ͱ͜Ζ͔ΒͲʔΜͱ࡞ͬͯখ͘͞ػೳՃ(վળ) ͍ͯ͘͠ɻͱ͍͏ͷࣗͷ Ϟνϕʔγϣϯҡ࣋ͷͨΊʹେࣄ - Ұͷ࡞ۀ࣌ؒݶΒΕ͍ͯͯɺࡉΕͷ࣌ؒͰ࡞ۀ͢Δ͜ͱ͋Δɻ - ࡞ۀ࠶։ͷෛՙΛԼ͛ɺͳΔ࣌ؒ͘ͰऴΘΔ୯ҐͷλεΫʹղͯ͠࡞ۀͷϦζϜΛ࡞Γ͘͢͢Δɻࣗ ΛϊηΔɻϞνϕʔγϣϯΛͳΔ͘Լ͛ͳ͍ɺͰ͖Ε্͛ΔɻࣗΛὃͯ͠Ϟνϕʔγϣϯ্͕͕͠ΔͳΒ͖ͬ ͱՌग़ΔͩΖ͏͔Βὃͪ͠Ό͙͑Β͍ͷؾ࣋ͪɻͦΕ͙Β͍Ϟνϕʔγϣϯͱ͍͏ͷେࣄͩͱײ͍ͯ͡Δɻ - ॱ൪తʹɺॲཧϑϩʔͷऴΘΓ (άϥϑඳը) ͔Β٧Ί͍ͯͬͨํ͕ޙΓ͕গͳ͍ͩΖ͏͔Βɻ(data abstraction layer, plotting abstraction layer ͲͪΒɺख୳ΓͰਐΊΔͱ͍͏ελʔτΛ͍ͬͯΔͷͰ) - σʔλߏ͕มΘ͔ͬͨΒϓϩοτํ๏ʹӨڹͪ͠Ό͍·ͨ͠ɻͱ͍͏ͷ͋ΓಘΔ͡Όͳ͍Ͱ͔͢ɻ
ͲͷΑ͏ʹਐΊ͔ͨ - Matplotlib ΛϦϑΝϨϯε࣮ͱͯ͠࠷ॳʹ࣮ͨ͠ - ͜Ε࣮ɺҰ൪࠷ॳ rubyplot ͔Β࣮Λ͡ΊͯޙΓΛͯ͠ɺMatplotlib ͔ Β࠶࣮͍ͯ͠Δɻ
- rubyplot ͕ Plotting Library ͱͯ͠αϙʔτ͍ͯ͠Δ backend Ͱ͋Δ GR Framework ͕ ັྗతͰ͍͍ͨɻͱ͍͏ͷ͕ɺCharty Λ࣮͠͡Ίͨ࣌ʹɺ࠷ॳʹඳ͍ͨΑͦ͞ ͏ͳ Charty ͷࡏΓํͩͬͨɻ͔ͩΒ rubyplot ͷίʔυશ෦ಡΜͰɺrubyplot ͷ։ൃʹ ඞཁͳΒՃΘΔؾͰ͍ͨɻ࣮ࡍɺPR ग़͠͡Ί͍ͯͨɻ - Charty Charty ͱͯ͠ɺബ͍ϥούʔͱͯ͋͠Δ͖ͱߟ͑͠ɺ͜ͷลΓ͔Β holoviews ͷΑ͏ͳࡏΓํΛҙࣝ࢝͠Ίͨɻ
͕͢ҙຯ͕͋Γͦ͏ͳ͜ͱ Data Visualization ʹ͍ͭͯɺϩΫʹΒͳ͍ঢ়ଶ͔Βελʔτͯ͠ɺ࣮·ͰͨͲΓண͍ͨͱ͍͏ ͜ͱ (Red Data Tools ͷϙϦγʔͷ 4.
Ͱ͢Ͷɻଟ͘ͷਓʹॿ͚ͯΒ͍ͨ͠) ࠷ۙͷճΓͰΑ͘ฉ͘ͷ͚ͩΕͲɺՌ͕ग़ͤΔ͕ࣗແ͍͔Βߦ͖͍͚ͨͲࢀՃ͠ͳ͍બΛ ͢Δͱ͔ɺΕΔΑ͏ʹͳΓ͍͚ͨΕͲɺ࢝ΊΒΕΔͷ͕·ͩແ͍͔ΒࢀՃͰ͖ͳ͍Ͱ͍Δɻͱ ͔ɻ ͜ΕΒ͍ͬͨͳ͍ɻࣦഊ͕͋ͬͯΑ͍͠ɺيಓʹΔ·Ͱʹ͕͔͔࣌ؒͬͯ·͋ྑ͍ͷͰ ɻࣗʹ߹Θͳ͔ͬͨΓɺͭ·Βͳ͍ͱײ͡ΔͳΒΊͯ͠·͑Α͍͠ɺͦΕΒΛ࢝Ίͳ͍ཧ ༝ʹͯ͠͠·͏ͷ͍ͬͨͳ͍ɻͬͯΈͨ࣌ʹ͚ͩɺͦͷઌ͕ݟ͑ΔՄೳੑ͕͋Δͷ͔ͩΒɻ ϋʔυϧΛΊ͍ͬͺ͍Լ͛ͯɺͬ͞ͱ࣮ߦͯ͠ɺͦͷ࣌͏Ұɺͪΐͬͱਖ਼֬ʹͳͬͨঢ়ଶͷ அΛ͢Ε͍͍Μ͡Όͳ͍͔ͳɻ
͕͢ҙຯ͕͋Γͦ͏ͳ͜ͱ ࣗɺࣗͷίʔυͰͳ͍(ଞਓͷ;ΜͲ͠Ͱ) ൃද͢Δ͜ͱΛ(ͦΕ͔͠ग़དྷͳ͍͜ͱ Λ)Ͳ͏ʹ͔͍ͨ͠ͱͣͬͱࢥ͍ͬͯͨɻ ͦ͏Ͱͳ͍ͱɺൃද͢ΔՁ͕ͳ͍ͷͰͳ͍͔ͱɺؾʹ͍ͯͨ࣌͠ظ͕͋ͬͨɻ (ଞͷਓ͕ൃද͢Δ࣌ɺͦ͏͍͏ͷશવؾʹ͍ͯ͠ͳ͔͚ͬͨΕͲ) ͦ͏Ͱͳ͍ɻͱ͍͏͜ͱʹͬͱࣗΛ࣋ͭ͜ͱ͕ग़དྷ͖ͯͨɻͨͱ͑ɺ Ruby Grant 2017
ͷ k0kubun ͞Μͷ࠷ऴใࠂॻͰɺͷ ԭೄRubyձٞ02 Ͱͷࢿྉ͕ࢀর͞ Ε͍ͯΔɻ( https://www.ruby.or.jp/assets/images/ja/news/20180501.data/kokubun.pdf ) ͠ Charty ͩͬͨΓɺࣗͷॻ͍ͨػೳΛࢼͯ͘͠ΕͯɺͦΕʹ͍ͭͯॻ͖ͯ͘͠Εͨ ΓɺͲ͔͜Ͱൃදͯ͘͠ΕͨΓ͍ͯͨ͠Β͏Ε͍͠ɻ ͔ͩΒ͋Εྑ͔ͬͨΜͩɻͱࢥ͑ΔΑ͏ʹͳͬͨɻ
Future Plans - Data Abstraction Layer - Support NMatrix(࣮ͨ͠) -
Support Red::Arrow - Support benchmark_driver (ϕϯνϚʔΫ݁ՌͷՄࢹԽ)(ॳظ࣮Ͱ͖ͨͷͰɺվળ͢Δ) - Plotting Abstraction Layer - ग़ྗՄೳͳάϥϑͷՃ - Support rubydown (https://github.com/sciruby-jp/rubydown) ࠓޙɺͬͱָʹ͑Δঢ়ଶʹ͍ͨ͠ɻ(·ͩͪΐͬͱ͕ΜΒͳ͍ͱ͑ͳ͍ͱ͍͏ೝࣝͳͷͰ)
·͕ͩ࣌ؒ͋Ε ίʔυͷཁॴΛ ղઆ͠·͢ʂ
Thanks a lot for having me Railsdm ʹฏ͞Μ͕ؔΘΔͷ͕࠷ޙͱฉ͍͍ͯ·͢ɻ Railsdm
ʹ৭ʑͳؔΘΓํΛ͖ͯ͠·͕ͨ͠ɺ Railsdm Λ ௨ͯͨ͡͠ϥϯΩϯάͰ͚ͬ͜͏্Ґʹ͘Δͱࢥ͏ͷͰ͢Ͷɻ 2017, 2018, 2019 ͱ͍͏ظؒΛΑΓָ͘͠ա͢͜͝ͱ͕Ͱ͖·͠ ͨɻ ͦΕฏ͞Μ͕ Railsdm Λଓ͚ͯ͘Ε͔ͨΒͰ͢ɻ ͋Γ͕ͱ͏͍͟͝·͢ɻ