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
React勉強会② ハンズオン編
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Takuya Fujimoto
May 18, 2018
Programming
110
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
React勉強会② ハンズオン編
- Mix Leap
- React
- ハンズオン
Takuya Fujimoto
May 18, 2018
More Decks by Takuya Fujimoto
See All by Takuya Fujimoto
React + GraphQLで社内の負債を解決した話
tfrcm
0
640
AppSyncで負債を解決した話
tfrcm
1
490
なぜ社内でGoを採用したのか
tfrcm
0
88
さよならRecompose, こんにちはReact Hooks!
tfrcm
0
430
Facebookに行ってきたの秋
tfrcm
0
82
ReactNativeでモバイル開発を始めよう!
tfrcm
0
81
My favorite Morisawa's fonts
tfrcm
0
77
ReactNativeの開発環境を5分で作る
tfrcm
1
380
さぁ!Reactを始めよう!
tfrcm
0
170
Other Decks in Programming
See All in Programming
PHPで使える日時の表現と、その知り方 #frontend_phpcon_do
o0h
PRO
0
280
Hatena Engineer Seminar #37「言語モデルの活用に関する研究」
slashnephy
0
460
「なぜそう決めたのか」を残し続ける仕組み ― Notion AI カスタムエージェント × Slack連携による設計判断の自動記録 - NIKKEI Tech Talk #47
niftycorp
PRO
0
250
The ROI of Quarkus for Spring Boot Applications
hollycummins
0
150
The Bowling Game- From Imperative to Functional Programming - Part 1
philipschwarz
PRO
0
190
Webフレームワークの ベンチマークについて
yusukebe
0
190
軽量Java基盤の設計 DIコンテナに頼らない、長期保守と1秒起動の実現 JJUG CCC 2026 Spring
macha64
0
620
Hunting Vulnerabilities in Symfony with LLMs
vinceamstoutz
0
570
どこまでゆるくて許されるのか
tk3fftk
0
290
Spring Security 実践 ─ GraphQL APIで実務に役立つ 認証・認可 を学ぶ
wagyu
0
270
Observability in Practice:Grafana 與 Edge Device SRE 的那些事
blueswen
0
180
Vue × Nuxt × Oxc どこまで使える?実運用の現在地
andpad
0
340
Featured
See All Featured
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
31
10k
Taking LLMs out of the black box: A practical guide to human-in-the-loop distillation
inesmontani
PRO
3
2.3k
The State of eCommerce SEO: How to Win in Today's Products SERPs - #SEOweek
aleyda
2
11k
Building a Scalable Design System with Sketch
lauravandoore
463
34k
Exploring the relationship between traditional SERPs and Gen AI search
raygrieselhuber
PRO
2
4.1k
Agile Leadership in an Agile Organization
kimpetersen
PRO
0
180
16th Malabo Montpellier Forum Presentation
akademiya2063
PRO
0
160
Navigating Weather and Climate Data
rabernat
0
270
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
254
22k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
360
30k
Tips & Tricks on How to Get Your First Job In Tech
honzajavorek
1
550
The B2B funnel & how to create a winning content strategy
katarinadahlin
PRO
1
410
Transcript
3FBDUͰ5PEPΛ࡞Ζ͏ʂ 0TBLB.JY-FBQ4UVEZd3FBDUษڧձᶄϋϯζΦϯฤd
ΞδΣϯμ ڥߏஙͷ֬ೝ͢Δ 3FBDUͷ։ൃڥΛ࡞Δ DSFBUFSFBDUBQQͰϓϩδΣΫτΛ࡞͢Δ
ඞཁͳOQNϥΠϒϥϦΛΠϯετʔϧ͢Δ ϩʔΧϧͰαʔόʔΛىಈ͢Δ ςΩετΤσΟλͰϓϩδΣΫτΛ։͘ $44पΓΛίϐϖ͢Δ 3FBDUͷ։ൃͰΑ͘ग़Δ༻ޠΛཧղ͢Δ ը໘ΛίʔσΟϯά͢Δ TUBUFͱΠϕϯτͰΞϓϦͷঢ়ଶΛཧ͢Δ MPDBM4UPSBHFͰσʔλΛӬଓԽ͢Δ ڥߏஙฤ ࣮ฤ
ΰʔϧ w3FBDUͷ։ൃΛ࢝ΊΔ·ͰΛΔ w3FBDUͷ։ൃͷྲྀΕΛΔ w3FBDUͷ֩Ͱ͋ΔTUBUFཧΛΔ wOQNϥΠϒϥϦͷಋೖͷྲྀΕΛΔ wOQNϥΠϒϥϦͷυΩϡϝϯτͷݟํΛΔ
ҙ ࠓฐࣾͷϝϯλʔ͕ਓ͍·͢ɻ ్தͰ٧·ͬͨ߹ɺΛֻ͚͍ͯͩ͘͞ɻ ·ͨɺԣͷਓ͕٧·͍ͬͯΔͳͱࢥͬͨΒॿ͚ͯ ͍͋͛ͯͩ͘͞ɻ
ҙ ࣌ؒʹݶΓ͕͋Γ·͢ͷͰɺશһͷ࡞ۀऴྃΛ ͨͣʹɺ࣍ʹਐΉ߹͕͋Γ·͢ɻ (JU)VCʹܗͷιʔεΛڞ༗͍ͯ͠ΔͷͰɺ ؒʹ߹Θͳ͍߹ίϐϖͰରԠ͍ͯͩ͘͠͞ɻ (JU)VCDPOQBTTͷืूهࣄͰ63-Λڞ༗͍ͯ͠·͢ɻ
ҙ ϋϯζΦϯܗࣜͳͷͰɺܦݧͷࠩʹΑΓ͕ͪ࣌ؒൃੜ ͢Δ߹͕͋Γ·͢ɻ ͪ࣌ؒɺຊར༻͢ΔϥΠϒϥϦͷެࣜαΠτͳͲ ΛӾཡͯ͘͠ͱઌͷ࡞ۀ͕εϜʔζʹͳΓ·͢ɻ (JU)VCϖʔδΛ63-Λڞ༗͍ͯ͠·͢ɻ
ࠓͷ։ൃͰΑ͘ݟΔը໘ wςΩετΤσΟλ w։ൃதͷը໘ MPDBMIPTU w(JU)VCϖʔδ w֤छϥΠϒϥϦͷυΩϡϝϯτ ৭ʑͳॴΛݟΔͨΊʹɺϒϥβλϒ Λͯͨ͠ํ͕։ൃ͍͢͠Αʔʂ
ڥߏஙͷ֬ೝ͢Δ
/PEFKTͷόʔδϣϯΛ֬ೝ͢Δ
3FBDUͷ։ൃڥΛ࡞Δ
ZBSOͱDSFBUFSFBDUBQQΛΠϯετʔϧ͢Δ
DSFBUFSFBDUBQQͰϓϩδΣΫτΛ࡞͢Δ
ࠓ։ൃ͢ΔϓϩδΣΫτͷܗΛ࡞͢Δ ҙ wҰ୴λʔϛφϧΛ࠶ىಈ͢Δɻ wࣗͷ࡞ۀσΟϨΫτϦ Ͳ͜Ͱ͍͍ ʹҠಈ͢Δɻ
ඞཁͳOQNϥΠϒϥϦΛΠϯετʔϧ͢Δ
ϓϩδΣΫτͰ͏ϥΠϒϥϦΛΠϯετʔϧ
ϩʔΧϧͰαʔόʔΛىಈ͢Δ
࡞ͨ͠ϓϩδΣΫτΛखݩͷύιίϯ ϩʔΧϧ Ͱىಈ͢Δ
ࣗಈతʹ։͔ΕͨϒϥβΛ֬ೝ͢Δ
ςΩετΤσΟλͰϓϩδΣΫτΛ։͘
74$PEFฤ αΠυόʔͷϓϥάΠϯϚʔΫΛԡԼ͢Δ ʮQSFUUJFSʯΛϓϥάΠϯΛݕࡧ͢Δ ʮ1SFUUJFS$PEFGPSNBUUFSʯΛΠϯετʔϧ͢Δ ʮ࠶ಡΈࠐΈʯϘλϯΛԡ͢ 74$PEFͷઃఆϖʔδΛ։͘ DNE
(JU)VC͔ΒઃஔϑΝΠϧΛίϐʔͯ͠ɺషΓ͚Δ 74$PEFΛ࠶ىಈ͢Δ
"UPNฤ "UPNͷઃఆϖʔδΛ։͘ DNE ʮ*OTUBMMʯͰʮQSFUUJFSBUPNʯͱݕࡧ Πϯετʔϧ͢Δ ʮ1BDLBHFTʯͰʮQSFUUJFSBUPNʯͱݕࡧ ʮ4FUUJOHTʯΛԡ͢
(JU)VCͷઃఆʹ߹ΘͤΔ "UPNΛ࠶ىಈ͢Δ
$44पΓΛίϐϖ͢Δ
4FNBOUJDͷ$%/ΛಡΈࠐΉ wQVCMJDJOEFYIUNM
5PEP༻ͷ$44Λίϐϖ͢Δ wTSD"QQDTT
3FBDUͷ։ൃͰΑ͘ग़Δ༻ޠΛཧղ͢Δ
ίϯϙʔωϯτ $PNQPOFOU ͱ wʮ෦ʯͱ͔ʮߏཁૉʯͱ͍͏ҙຯ w3FBDUίϯϙʔωϯτࢥߟ w֤6*ύʔπΛ෦ͱଊ͑ͯ։ൃ͍ͯ͘͠ࣄͰՄಡੑͱอकੑ͕61
QSPQTͱ w3FBDUͰίϯϙʔωϯτ͔ΒࢠίϯϙʔωϯτʹΛ͢Έ wจࣈྻɾɾྻɾΦϒδΣΫτɾؔͳΜͰͤΔ QSPQTͷ͔ΒࢠͷΛ͢࡞ۀ ʮόέπϦϨʔʯͱΑ͘දݱ͞ΕΔΑʂ
TUBUFͱ w3FBDUͰঢ়ଶΛཧ͢ΔҝͷΈ w5PEPͷঢ়ଶɺೖྗ͍ͯ͠Δจࣈͷঢ়ଶFUDʜ wԿ͔͠ΒͷΠϕϯτͷޙɺTUBUF͕ߋ৽͞ΕΔ wΫϦοΫͨ͠ޙɺೖྗ͞ΕͨޙFUDʜ ຊ֨తͳΞϓϦέʔγϣϯɺ ແͷTUBUFͱΠϕϯτͰߏ͞Ε͍ͯΔΑʂ
+49ͱ w+BWB4DSJQUΛ֦ுͨ͠ݴޠ w'BDFCPPL͕ߟҊ w+BWB4DSJQUͰ)5.-ͬΆ͍ه๏͕͑Δ w࠷ऴతʹ͍͜͠+4ʹͳ͍ͬͯΔ w3FBDUΛ༻͍ͨ։ൃͰඞਢͱ͍͏༁Ͱͳ͍ ࠓDSFBUFSFBDUBQQ্͕ख͍͜ͱͯ͘͠Ε ͍ͯΔ͚Ͳɺຊ֨తͳ։ൃ͕࢝·ΔͱɺࣗͰτϥ ϯείϯύΠϧͷઃఆΛॻ͍ͨΓ͢Δඞཁ͕͋Δ Αʂ
XFCQBDL
'VODUJPOBM$PNQPOFOUͱ$MBTT$PNQPOFOU w3FBDUͷίϯϙʔωϯτͷछྨ wͲͪΒͷه๏Ͱେମಉ͡ࣄ͕Ͱ͖Δ w$MBTT$PNQPOFOUʹʮϥΠϑαΠΫϧʯͱʮTUBUFʯ͕ଘࡏ͢Δ Մಡੑςετͷ͢͠͞ͳͲ͔Βɺ ಛʹཧ༝͕ͳ͍ݶΓ'VOUJPOBM$PNQPOFOU Λ͏ํ͕͍͍Αʂ
ը໘ΛίʔσΟϯά͢Δ
େ͖ͭ͘ͷϒϩοΫʹ͔ΕΔ λΠτϧ෦ ೖྗ෦ Ϧετ෦
TUBUFͱΠϕϯτͰΞϓϦͷঢ়ଶΛཧ͢Δ
ࠓͷ··Ͱಈ͔ͳ͍ͨͩͷը໘ ͔͜͜Βಈ͖Λ͚͍ͭͯ͘
MPDBM4UPSBHFͰσʔλΛӬଓԽ͢Δ
ࠓͷ··ͰϦϩʔυͨ͠Βফ͑ͯ͠·͏ ಉ͡ϒϥβͳΒӬٱతʹอଘͰ͖Δ༷ʹमਖ਼͢Δ
͓ർΕ༷Ͱͨ͠ ݱࡏ8BOUFEMZͰΤϯδχΞͱσβΠφʔΛ ืूதͰ͢ʂ