Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Outside/Inside of PyCon JP 2016

Takanori Suzuki
October 12, 2016
Technology
3
970

Outside/Inside of PyCon JP 2016

Outside/Inside of PyCon JP 2016
2016 Oct 12 / Takanori Suzuki

Start Python Club #17

Takanori Suzuki

October 12, 2016
Tweet

More Decks by Takanori Suzuki

See All by Takanori Suzuki
Python Boot Camp
takanory
0
230
Mezzanine
takanory
0
710

Other Decks in Technology

See All in Technology
Vision Language Modelを活用した メルカリの類似画像レコメンドの性能改善
yadayuki
9
1.4k
Spice up your notifications/try!Swift25
noppefoxwolf
2
150
.mdc駆動ナレッジマネジメント/.mdc-driven knowledge management
yodakeisuke
21
5.7k
テキスト解析で見る PyCon APAC 2025 セッション＆スピーカートレンド分析
negi111111
0
260
2025年春に見直したい、リソース最適化の基本
sogaoh
PRO
0
440
【５分でわかる】セーフィー エンジニア向け会社紹介
safie_recruit
0
20k
GitHub MCP Serverを使って Pull Requestを作る、レビューする
hiyokose
2
620
低レイヤを知りたいPHPerのためのCコンパイラ作成入門 / Building a C Compiler for PHPers Who Want to Dive into Low-Level Programming
tomzoh
0
130
Proxmox VE超入門 〜 無料で作れるご自宅仮想化プラットフォームブックマークする
devops_vtj
0
260
アプリケーション固有の「ロジックの脆弱性」を防ぐ開発者のためのセキュリティ観点
flatt_security
40
15k
バックエンド留学した話/Backend study abroad story
kaonavi
0
140
こんなデータマートは嫌だ。どんな？ / waiwai-data-meetup-202504
shuntak
4
1.4k

Featured

See All Featured
Into the Great Unknown - MozCon
thekraken
36
1.7k
The Art of Delivering Value - GDevCon NA Keynote
reverentgeek
12
1.4k
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
31
4.8k
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
29
2.5k
Bootstrapping a Software Product
garrettdimon
PRO
307
110k
Agile that works and the tools we love
rasmusluckow
328
21k
Building Flexible Design Systems
yeseniaperezcruz
328
38k
RailsConf 2023
tenderlove
29
1k
Writing Fast Ruby
sferik
628
61k
Designing Dashboards & Data Visualisations in Web Apps
destraynor
231
53k
4 Signs Your Business is Dying
shpigford
183
22k
How GitHub (no longer) Works
holman
314
140k

Transcript

  1. 1Z$PO+1ͷιτͱφΧ 0DU5BLBOPSJ4V[VLJ
 ΈΜͳͷ1ZUIPOษڧձ

  2. 0VUTJEF*OTJEFPG1Z$PO+1 0DU5BLBOPSJ4V[VLJ
 4UBSU1ZUIPO$MVC

  3. 8IPBN*͓લ୭Α w 5BLBOPSJ4V[VLJླ໦͔ͨͷΓ w 5XJUUFS!UBLBOPSZ w 1Z$PO+1$IBJS࠲௕

  4. None

  5. "EWFSUJTFNFOU એ఻

  6. 1ZUIPOΤϯδχΞཆ੒ಡຊ IUUQHJIZPKQCPPL 1ZUIPOϥΠϒϥϦݫબϨγϐ IUUQHJIZPKQCPPL

  7. None

  8. "CPVU1Z$PO

  9. – https://en.wikipedia.org/wiki/Python_Conference l5IF1ZUIPO$POGFSFODF 1Z$PO JTBOBOOVBM DPOWFOUJPOGPSUIFEJTDVTTJPOBOEQSPNPUJPO PGUIF1ZUIPOQSPHSBNNJOHMBOHVBHFz

  10. – takanory༁ l1Z$PO͸ϓϩάϥϛϯάݴޠ1ZUIPOʹ͍ͭ ͯٞ࿦ͨ͠Γར༻ଅਐͨ͠Γ͢ΔͨΊͷɺຖ೥ ߦΘΕΔू·ΓͰ͢z

  11. *OUIFXPSME 1Z$PO͸ੈքதͰ։࠵

  12. IUUQTXXXHPPHMFDPNNBQTEVWJFXFS NJE'DJSNF2N&6JKOEPQ[;3F[1,ETIMFO@64

  13. 1Z$PO"1"$JO,PSFBUPVS

  14. 1Z$PO+1

  15. None

  16. 1Z$PO+1 w IUUQTQZDPOKQ w 5VUPSJBMT4FQ w $POGFSFODF4FQ  w %FWFMPQNFOU4QSJOUT4FQ

    

  17. 1Z$PO+1 w 7FOVF8BTFEB6OJWFSTJUZૣҴాେֶ w 5IFNF&WFSZPOF`TEJ⒎FSFOU BMMBSFXPOEFSGVM w 'FF +1: &BSMZCJSE

    +1:  w *ODMVEF-VODI 1BSUZ 4OBDL (PPET

  18. )JTUPSZྺ࢙ w 1Z$PONJOJ+1+BO w 1Z$PO+1"VH  w 1Z$PO+14FQ w 1Z$PO"1"$JO+BQBO4FQ

    w 1Z$PO+14FQ w 1Z$PO+10DU w IUUQTXXXQZDPOKQPSHBOJ[FSJOEFYIUNM

  19. 0VUTJEF ιτ

  20. /VNCFST ਺ࣈ

  21. 1SPHSBNTϓϩάϥϜ w ,FZOPUFTجௐߨԋ w *OWJUFE4QFBLFSTট଴ߨԋ w #FHJOOFS4FTTJPOϏΪφʔηογϣϯ w 5VUPSJBM1SPHSBNTνϡʔτϦΞϧ w

    -JHIUOJOH5BMLTϥΠτχϯάτʔΫ w 1PTUFS4FTTJPOTϙελʔηογϣϯ

  22. ,FZOPUFT +FTTJDB.D,FMMFS "OESFZ7MBTPWTLJLI

  23. 1SPHSBNTϓϩάϥϜ w 5BML4FTTJPOTτʔΫηογϣϯ w 5BML1SPQPTBMTτʔΫԠื w 

  24. 4QPOTPSTεϙϯαʔ w %JBNPOETQPOTPS w 1MBUJOVNTQPOTPST w (PMETQPOTPST w 4JMWFSTQPOTPST w

    1BUSPOTQPOTPST w .FEJB4QPOTPST w 5VUPSJBM4QPOTPST

  25. 4QPOTPSTεϙϯαʔ

  26. 1BSUJDJQBOUTࢀՃऀ 

  27. 1BSUJDJQBOUTࢀՃऀ 

  28. 1BSUJDJQBOUTࢀՃऀ  *ODMVEF4UB⒎ 4QPOTPSBOE:PVUI$PEFS ελοϑɺεϙϯαʔɺϢʔείʔμʔؚΉ

  29.      

  30. 1IPUPT ࣸਅ

  31. None
  32. None
  33. None
  34. None
  35. None
  36. None
  37. None
  38. None
  39. None
  40. None
  41. None

  42. *OTJEF φΧ

  43. 4UB⒎ελοϑ

  44. 5FBNνʔϜ w .BOBHFNFOU0⒏DFࣄ຿ہ w 7FOVFձ৔ w 1SPHSBNϓϩάϥϜ w .FEJBϝσΟΞ

  45. 8PSLEBZ࡞ۀ೔ w IUUQQZDPOKQCMPHTQPUKQQZDPOKQXPSLEBZIUNM

  46. )BDLBUIPO w IUUQQZDPOKQCMPHTQPUKQQZDPOKQXFCIBDLBUIPOIUNM

  47. 4ZTUFNγεςϜ

  48. 4ZTUFNγεςϜ w +*3"*TTVFNBOBHFNFOU՝୊؅ཧ w 4MBDL$IBUνϟοτ w (PPHMF%SJWF%PDVNFOUTυΩϡϝϯτ

  49. 4ZTUFNγεςϜ

  50. 8FCTJUF w IUUQTHJUIVCDPNQZDPOKQQZDPOKQXFCTJUF

  51. J04"OESPJEBQQ w IUUQTHJUIVCDPNQZDPOKQQZDPOKQJPT w IUUQTHJUIVCDPNQZDPOKQQZDPOKQBOESPJE

  52. 4MBDLCPU w IUUQTHJUIVCDPNQZDPOKQQZDPOKQCPU

  53. 4MBDLCPU w IUUQTHJUIVCDPNQZDPOKQQZDPOKQCPU

  54. 4MBDLCPU w IUUQTHJUIVCDPNQZDPOKQQZDPOKQCPU

  55. #VEHFU༧ࢉ

  56. #VEHFU༧ࢉ   +1:

  57. *ODPNFऩೖ    4QPOTPSεϙϯαʔ 5JDLFUνέοτ 0UIFSͦͷଞ

  58. 0VUHPࢧग़       'PPE৯ࣄ (PPETάοζ 5SBOTMBUPS௨༁

    ,FZOPUFجௐߨԋ 'BDJMJUZઃඋ 0UIFSͦͷଞ

  59. *ODJEFOUTࣄ݅

  60. 1BZNFOUϑʔυͷࢧ෷͍

  61. $PEFPGDPOEVDUߦಈنൣ w IUUQTQZDPOKQBCPVUDPEFPGDPOEVDU

  62. #PVRVFUՖଋଃఄ

  63. 8IBU`TOFYU  ࣍ͳʹ͢Δͷ

  64. 1Z$PO+1

  65. 1Z$PO+1 w 7FOVFNBZCF5PLZP w $IBJS4IVOTVLF:PTIJEB٢ాढ़ี w 4UB⒎SFDSVJU w IUUQQZDPOKQCMPHTQPUKQQZDPOKQ$IBJSIUNM

  66. "CPVUNF ͓લ͸

  67. "EWJDFXBOUFE ॿݴٻΉ

  68. 2"

  69. 2ฏ೔։࠵ʹ͍ͭͯ w 2ࠓ೥͸ͳͥฏ೔։࠵ͩͬͨͷ  w "·Ͱ͸ࡾ࿈ٳͱ͔Λૂ͍͕ͬͯͨɺ୯७ʹ ͸ձ৔͕ͱΕͳ͔͔ͬͨΒɻ
 ฏ೔Ͱ΋ࢥͬͨΑΓΈΜͳདྷͯ͘ΕͨͷͰ҆৺ͨ͠ɻ

  70. 2τʔΫͷબߟ w 2τʔΫ͸Ͳ͏΍ͬͨΒ௨Δͷ  w "஌ͬͯͨΒࢲ΋௨ͬͯ·͢ɻ ʀТʀʆ 
 ԠืϑΥʔϜʹ͖ͪΜͱ಺༰Λॻ͘ɻͦͯ͠ɺͦͷ ਓ͡Όͳ͍ͱ࿩ͤͳ͍಺༰Λ੝ΓࠐΉɻ

  71. 2ձ৔අʹ͍ͭͯ w 2άϥϑʹձ৔අ͕ͳ͔͚ͬͨͲ  w "ૣҴాେֶͷڞ࠵ͷͨΊձ৔අ͸͔͔͍ͬͯͳ ͍ɻ
 ͷձ৔͸ϓϥβฏ੒Ͱສԁ͘Β͍ɻ
 ձ৔අ͸͔͔͍ͬͯͳ͍͕ɺͦͷมΘΓʹಉ࣌௨༁ ͷϒʔε΍Ϩγʔόʔʹ͓͕͔͔͍ۚͬͯΔɻ

  72. 2ಈըதܧʹ͍ͭͯ w 2ಈըͷதܧ͸ϓϩ͕ߦ͍ͬͯͨͷ͔  w "ϓϩʹ͓ئ͍͍ͯ͠Δɻ
 ͍ͭ΋པΜͰ͍Δձ͕ࣾͩɺࠓ೥͸Ұ໊ελοϑʹ ͳͬͯ͘Εͨɻ
 ΦʔϓχϯάɺΩʔϊʔτͳͲͰςϩοϓͷදࣔΛ ͯ͠΋ΒͬͨΓ΋ͨ͠ɻ

  73. 2ίϛϡχςΟʹ͍ͭͯ w 21ZUIPOͷίϛϡχςΟ͕ΑΓΑ͘ͳΔͨΊʹͲ ͏͢ΔͱΑ͍͔  w "1Z$PO+1͸ࠓ೥ͷςʔϚʹ΋͋ΔΑ͏ʹɺ͍Ζ ΜͳϨϕϧɺ͍ΖΜͳڵຯͷ͋Δਓ͕ू·ͬͯཉ͠ ͍ͱࢥ͍ͬͯΔɻ
 ֤ίϛϡχςΟ͸΍Γ͍ͨ͜ͱ͕͋Δਓָ͕͠ΜͰ

    ӡӦ͢Δͷ͕͍͍ɻओ࠵ऀ͕Ұ൪ָ͠ΜͰཉ͍͠ɻ

  74. 4FFZPVJO1Z$PO+1

  75. None