Upgrade to PRO for Only $50/Year—Limited-Time Offer! 🔥

addObserver: から考える API インタフェース

Avatar for KAMEDAkyosuke KAMEDAkyosuke
December 18, 2017
Programming
1
480

addObserver: から考える API インタフェース

NSNotificationCenter の addObserver が iOS9 から removeObserver しなくて良くなったので API の対称性から外れてしまったお話です

Avatar for KAMEDAkyosuke

KAMEDAkyosuke

December 18, 2017
Tweet

Other Decks in Programming

See All in Programming
著者と進める！『AIと個人開発したくなったらまずCursorで要件定義だ！』
Avatar for yasuna yasunacoffee
0
140
Tinkerbellから学ぶ、Podで DHCPをリッスンする手法
Avatar for Tomofumi Kondo tomokon
0
130
MAP, Jigsaw, Code Golf 振り返り会 by 関東Kaggler会|Jigsaw 15th Solution
Avatar for s.konishi hasibirok0
0
240
Rubyで鍛える仕組み化プロヂュース力
Avatar for muryoimpl muryoimpl
0
130
複数人でのCLI/Infrastructure as Codeの暮らしを良くする
Avatar for Shoma Okamoto shmokmt
5
2.3k
「コードは上から下へ読むのが一番」と思った時に、思い出してほしい話
Avatar for HideyukiKitao panda728
PRO
38
26k
C-Shared Buildで突破するAI Agent バックテストの壁
Avatar for po3rin po3rin
0
390
関数実行の裏側では何が起きているのか？
Avatar for minop1205 minop1205
1
700
俺流レスポンシブコーディング 2025
Avatar for TAK tak_dcxi
14
8.8k
生成AIを利用するだけでなく、投資できる組織へ
Avatar for pospome pospome
2
340
Why Kotlin? 電子カルテを Kotlin で開発する理由 / Why Kotlin? at Henry
Avatar for Agata Naomichi agatan
2
7.3k
Cap'n Webについて
Avatar for Yusuke Wada yusukebe
0
130

Featured

See All Featured
Unsuck your backbone
Avatar for Amy Palamountain ammeep
671
58k
Fantastic passwords and where to find them - at NoRuKo
Avatar for Phil Nash philnash
52
3.5k
Facilitating Awesome Meetings
Avatar for Lara Hogan lara
57
6.7k
ReactJS: Keep Simple. Everything can be a component!
Avatar for Pedro Nauck pedronauck
666
130k
4 Signs Your Business is Dying
Avatar for Josh Pigford shpigford
186
22k
The Illustrated Children's Guide to Kubernetes
Avatar for Chris Short chrisshort
51
51k
Build your cross-platform service in a week with App Engine
Avatar for Jose L jlugia
234
18k
VelocityConf: Rendering Performance Case Studies
Avatar for Addy Osmani addyosmani
333
24k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
Avatar for soudai sone soudai
PRO
196
70k
Done Done
Avatar for chrislema chrislema
186
16k
The Success of Rails: Ensuring Growth for the Next 100 Years
Avatar for Eileen M. Uchitelle eileencodes
47
7.9k
Understanding Cognitive Biases in Performance Measurement
Avatar for Philip Tellis bluesmoon
32
2.7k

Transcript

  1. BEE0CTFSWFS͔Βߟ͑ Δ"1*ΠϯλϑΣʔε  ,":"$ٕज़෦ ُాژհ

  2. ࣗݾ঺հ w ,".&%"LZPTVLF w UXJUUFS!(FNNCV w UXJUDI!,".&%"LZPTVLF w J04"OESPJE&OHJOFFS w

    ࠇຐज़ಘҙ

  3. J04͔Β/4/PUJpDBUJPO$FOUFSͷ SFNPWF0CTFSWFS͠ͳͯ͘΋ྑ͘ͳͬ ͨͬͯ࿩ฉ͍ͨ͜ͱ͋Γ·͢ΑͶʁ BOESPJEͷํ͸#SPBEDBTUͷSFHJTUFS3FDFJWFSͨ͠ޙʹVOSFHJTUFS3FDFJWFS͠ͳͯ͘ྑ ͘ͳͬͨͱࢥ͍͚ͬͯͨͩΕ͹େৎ෉Ͱ͢ɻ

  4. υΩϡϝϯτ BEE0CTFSWFSTFMFDUPSOBNFPCKFDU %JTDVTTJPO *GZPVSBQQUBSHFUTJ04BOEMBUFSPSNBD04 BOEMBUFS ZPVEPOUOFFEUPVOSFHJTUFSBOPCTFSWFSJO JUTEFBMMPDNFUIPE SFGTIUUQTEFWFMPQFSBQQMFDPNEPDVNFOUBUJPOGPVOEBUJPOOTOPUJpDBUJPODFOUFS BEEPCTFSWFS MBOHVBHFPCKD

  5. ϦϦʔεϊʔτ /4/PUJpDBUJPO$FOUFS *O049BOEJ04/4/PUJpDBUJPO$FOUFSBOE /4%JTUSJCVUFE/PUJpDBUJPO$FOUFSXJMMOPMPOHFSTFOE OPUJpDBUJPOTUPSFHJTUFSFEPCTFSWFSTUIBUNBZCF EFBMMPDBUFE CMBICMBICMBI SFGTIUUQTEFWFMPQFSBQQMFDPNMJCSBSZDPOUFOUSFMFBTFOPUFT'PVOEBUJPO3/ 'PVOEBUJPO0MEFS/PUFTJOEFYIUNM9@/PUFT

  6. ϦϦʔεϊʔτ CMBICMBICMBI  #MPDLCBTFEPCTFSWFSTWJBUIF</4/PUJpDBUJPO$FOUFS BEE0CTFSWFS'PS/BNFPCKFDURVFVFVTJOH#MPDL> NFUIPETUJMMOFFEUPCFVOSFHJTUFSFEXIFOOPMPOHFS JOVTFTJODFUIFTZTUFNTUJMMIPMETBTUSPOHSFGFSFODF UPUIFTFPCTFSWFST SFGTIUUQTEFWFMPQFSBQQMFDPNMJCSBSZDPOUFOUSFMFBTFOPUFT'PVOEBUJPO3/ 'PVOEBUJPO0MEFS/PUFTJOEFYIUNM9@/PUFT

  7. ͋Εʁ

  8. #MPDLCBTFEPCTFSWFSTWJBUIF</4/PUJpDBUJPO$FOUFS BEE0CTFSWFS'PS/BNFPCKFDURVFVFVTJOH#MPDL> NFUIPETUJMMOFFEUPCFVOSFHJTUFSFEXIFOOPMPOHFS JOVTFTJODFUIFTZTUFNTUJMMIPMETBTUSPOHSFGFSFODF UPUIFTFPCTFSWFST

  9. ͭ·Γ

  10. J04͔Β/4/PUJpDBUJPO$FOUFS ͷSFNPWF0CTFSWFS͠ͳͯ͘΋ ྑ͘ͳͬͨ

  11. Ͱ͸ͳ͘

  12. J04͔Β/4/PUJpDBUJPO$FOUFSͷ BEE0CTFSWFS͸SFNPWF0CTFSWFS ͠ͳͯ͘΋ྑ͘ͳͬͨ

  13. ͜ΕΛ;·͑ͯ

  14. ͦ΋ͦ΋SFNPWF0CTFSWFS ͠ͳͯ͘Α͍ͬͯྑ͍͜ͱʁ

  15. ϓϩάϥϛϯάͷ͓࡞๏ w ϝϞϦΛ֬อͨ͠Β w ϑΝΠϧΛ։͍ͨΒ w τϥϯβΫγϣϯΛ։࢝ͨ͠Β w 5$1ιέοτΛ։͍ͨΒ

  16. ϓϩάϥϛϯάͷ͓࡞๏ w ϝϞϦΛ֬อͨ͠Βղ์͠ͳ͚Ε͹ͳΒͳ͍ w ϑΝΠϧΛ։͍ͨΒด͡ͳ͚Ε͹ͳΒͳ͍ w τϥϯβΫγϣϯΛ։࢝ͨ͠Βऴྃ͠ͳ͚Ε͹ͳΒͳ͍ w 5$1ιέοτΛ։͍ͨΒด͡ͳ͚Ε͹ͳΒͳ͍

  17. BEESFNPWF0CTFSWFS ͸Ͳ͏Ͱ͠ΐ͏͔ʁ

  18. None

  19. ͍͔ͭ͘ͷΫϥεΛ֬ ೝͯ͠Έ·͠ΐ͏

  20. 8,)551$PPLJF4UPSF %JTDVTTJPO 5IFDPPLJFTUPSFEPFTOPUNBJOUBJOBTUSPOH SFGFSFODFUPUIFPCTFSWFS:PVBSFSFTQPOTJCMFGPS SFNPWJOHUIFPCTFSWFSCFGPSFJUCFDPNFTJOWBMJE SFGTIUUQTEFWFMPQFSBQQMFDPNEPDVNFOUBUJPOXFCLJUXLIUUQDPPLJFTUPSF BEEPCTFSWFS

  21. "71MBZFS BEE1FSJPEJD5JNF0CTFSWFS'PS*OUFSWBMRVFVFVTJOH#MPDL %JTDVTTJPO :PVNVTUNBJOUBJOBTUSPOHSFGFSFODFUIFSFUVSOFE WBMVFBTMPOHBTZPVXBOUUIFUJNFPCTFSWFSUPCF JOWPLFECZUIFQMBZFS&BDIJOWPDBUJPOPGUIJTNFUIPE TIPVMECFQBJSFEXJUIBDPSSFTQPOEJOHDBMMUP SFNPWF5JNF0CTFSWFS3FMFBTJOHUIFPCTFSWFSPCKFDU XJUIPVUJOWPLJOHSFNPWF5JNF0CTFSWFSXJMMSFTVMUJO VOEFpOFECFIBWJPS

    SFGTIUUQTEFWFMPQFSBQQMFDPNEPDVNFOUBUJPOBWGPVOEBUJPOBWQMBZFS BEEQFSJPEJDUJNFPCTFSWFSGPSJOUFSW MBOHVBHFPCKD

  22. ϓϩάϥϛϯάͷ͓࡞๏ w SFHJTUFSͨ͠ΒVOSFHJTUFS͠ͳ͚Ε͹ͳΒͳ͍

  23. ͭ·Γ /4/PUJpDBUJPO$FOUFSͷBEE0CTFSWFS͸ SFNPWF0CTFSWFS͠ͳͯ͘΋ྑ͘ͳ͚ͬͨͲɺϓϩάϥϛ ϯάͷ͓࡞๏ͱͯ͠͸ྑ͘ͳ͍ʂʂ

  24. /4/PUJpDBUJPO$FOUFS ͦΕҎ֎ͷΫϥε SFNPWF0CTFSWFS͠ͳ͍ ໰୊ͳ͠ ໰୊͋Γ SFNPWF0CTFSWFS͢Δ ໰୊ͳ͠ ໰୊ͳ͠ දʹ͢Δͱ

  25. ࢲͨͪͷνʔϜͰ͸ w SFHJTUFSVOSFHJTUFS BEESFNPWF0CTFSWFS ͸͓࡞๏ w /4/PUJpDBUJPO$FOUFS͚ͩྫ֎ͷঢ়ଶͰ͸Ή͠ΖଞͷΫ ϥεͰؒҧ͑ΔڪΕ͕͋Δ w ͳͷͰSFNPWF0CTFSWFSΛৗʹॻ͘ํ਑ʹͱ͍͏͔

    BEE0CTFSWFS'PS/BNFPCKFDURVFVFVTJOH#MPDLΛ࢖ ͏͜ͱʹ

  26. ·ͱΊ w "1*ͷΠϯλϑΣʔε͸ͦΕࣗ਎͚ͩͰͳ͘ଞͷΫϥε΍ ϑϨʔϜϫʔΫ౳͔ΒܾΊΔ΂͖ w ͳͷͰɺ͋Δ"1*ͷ࢖༻ํ๏͕มΘ͔ͬͨΒͱ͍ͬͯଞ ͷΫϥεͱͷؔ࿈ʹ஫ҙ͢΂͖ w ͦͷ্Ͱࣗ෼ͷϓϩδΣΫτʹͲ͏औΓ૊Ή͔ܾΊ·͠ΐ ͏