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
はてなインターンのつくりかた
Search
KASUYA, Daisuke
December 18, 2016
Education
2.1k
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
はてなインターンのつくりかた
合同勉強会 in 大都会岡山 winter 2016の登壇資料
KASUYA, Daisuke
December 18, 2016
More Decks by KASUYA, Daisuke
See All by KASUYA, Daisuke
エンジニアリングマネージャーの成長の道筋とキャリア / Developers Summit 2025 KANSAI
daiksy
7
7.1k
はてなの開発20年史と DevOpsの歩み / DevOpsDays Tokyo 2025 Keynote
daiksy
6
5k
わたしがEMとして入社した「最初の100日」の過ごし方 / EMConfJp2025
daiksy
22
15k
はてなのチーム開発一巡り / Hatena Engineer Seminar 30
daiksy
0
950
ふりかえりカンファレンスLT/Get Wild
daiksy
0
2.1k
スクラムマスターの採用事情 / scrum fest fukuoka 2023
daiksy
1
3.1k
スクラムのスケールとチームトポロジー / Scaled Scrum and Team Topologies
daiksy
1
1.6k
Scrum@Scaleの理論と実装 / RSGT2022
daiksy
2
11k
リモートワークに最適なスクラムチームの人数についての仮説 / Kyoto Agile 2021
daiksy
0
310
Other Decks in Education
See All in Education
Dashboards - Lecture 11 - Information Visualisation (4019538FNR)
signer
PRO
1
2.8k
Soluciones al examen de Geografía 2026. JULIO (Convocatoria Extraordinaria)
juanmartin2026
1
16k
Where Data Meets Storytelling
georgesinnott
0
140
AWS Skill Builderを活用した一石二鳥の業務計画
ysaeki
0
120
[2026前期火5] 論理学(京都大学文学部 前期 第5回)「 ならばの問題演習・proof net・かつの規則」
yatabe
0
380
子どものためのプログラミング道場『CoderDojo』〜法人提携例〜 / Partnership with CoderDojo Japan
coderdojojapan
PRO
4
19k
Estimating Group × Time Interaction in Scale-Transformed CEFR-J Self-Assessment Scores: A Case in Study-Abroad Research
uranoken
0
160
Beyond the Prompt: Programming as a Pathway to Statistical Thinking
minecr
0
300
From Days to Minutes: How We Taught an AI to Onboard 50+ Tenants on our AI Features
mfcabrera
0
220
生成AI時代のエンジニア育成について考えてみた
akasan
0
190
Enterprise UI, v2
stevekinney
0
130
sepm-training-sample
levii
0
110
Featured
See All Featured
SEOcharity - Dark patterns in SEO and UX: How to avoid them and build a more ethical web
sarafernandez
0
230
What's in a price? How to price your products and services
michaelherold
247
13k
End of SEO as We Know It (SMX Advanced Version)
ipullrank
3
4.3k
KATA
mclloyd
PRO
35
15k
Documentation Writing (for coders)
carmenintech
77
5.4k
It's Worth the Effort
3n
188
29k
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
230
23k
Applied NLP in the Age of Generative AI
inesmontani
PRO
4
2.4k
svc-hook: hooking system calls on ARM64 by binary rewriting
retrage
2
430
Why Mistakes Are the Best Teachers: Turning Failure into a Pathway for Growth
auna
0
190
Measuring & Analyzing Core Web Vitals
bluesmoon
9
950
Crafting Experiences
bethany
1
240
Transcript
ͯͳΠϯλʔϯͷ ͭ͘Γํ 2016-12-17 ߹ಉษڧձ in େձԬࢁ - 2016 Winter -
ࣗݾհ പ୩ େี(@daiksy) ▸ גࣜձࣾ ͯͳ ▸ MackerelνʔϜαϒσΟϨΫλʔ ▸ ScalaMatsuriελοϑ
▸ ScalaؔSummitελοϑ ▸ Web+DB Press vol.96 ങ͍·͠ΐ͏ ▸ େࡕ͔Βདྷ·ͨ͠ ▸ 2012͔Βຖ͔ܽͣ͞དྷͯ·͢
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ ͯͳΠϯλʔϯͷྺ࢙
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ ͯͳΠϯλʔϯͷྺ࢙
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ ͯͳΠϯλʔϯͷྺ࢙
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ ͯͳΠϯλʔϯͷྺ࢙
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ ͯͳΠϯλʔϯͷྺ࢙
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ ͯͳΠϯλʔϯͷྺ࢙
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ ͯͳΠϯλʔϯͷྺ࢙
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ daiksyͷ͔͔ΘΓ͔ͨ ▸ 201411݄ೖࣾ ▸ 2015 Scalaߨٛͷߨࢣ ▸ 2016 ࣮ߦҕһ
▸ (εϐʔυग़ੈʂʂ)
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ ͯͳΠϯλʔϯͷܕ ▸ લ:ߨٛύʔτ ▸ ޙ:࣮ફύʔτ ▸ ޙ՝ఔνʔϜʹଐ͞Ε࣮ͯࡍͷϓϩμΫτΛ։ൃ
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ ຖਐԽͯ͠Δ ▸ ͯͳڭՊॻ(https://github.com/hatena/Hatena-Textbook) ຖΞοϓσʔτ ▸ 2015 ScalaͷߨٛΛ৽ઃ ▸ 2016
ػցֶशߨٛΛ৽ઃ
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ 2016ͷΧϦΩϡϥϜ ▸ બߟ௨ա௨ ~ ·Ͱ ▸ ࣄલ՝ ▸ https://github.com/hatena/Hatena-Intern-Exercise2016
▸ 8݄15~9݄9
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ 2016ͷΧϦΩϡϥϜ ▸ ࠓ4ίʔε ▸ ֤ίʔε2໊ͣͭ ▸ ίʔεޙͷ࣮ફύʔτͷड͚ೖΕઌͱͳΔ ▸ ͯͳϒϩάίʔε
▸ ػցֶशɾࣗવݴޠॲཧίʔε ▸ iOSΞϓϦ։ൃίʔε ▸ ΫϥυαʔόཧγεςϜίʔε (Mackerel)
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ 2016ͷΧϦΩϡϥϜ ▸ 16(Ր) ݴޠجૅ Perl or Scala ▸ 17(ਫ)
SQL/DB ▸ 18() HTTP/WebΞϓϦέʔγϣϯϑϨʔϜϫʔΫ ▸ 19(ۚ) Javascript or Swift ▸ 20() ಛผߨ࠲AWSϋϯζΦϯ
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ 2016ͷΧϦΩϡϥϜ ▸ 21() ٳΈ ▸ 22(݄) ࣗ༝՝ ▸ 23(Ր)
ػցֶश جૅฤ ▸ 24(ਫ) ػցֶश Ԡ༻ฤ ▸ 25() Πϯϑϥߨٛ
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ 2016ͷΧϦΩϡϥϜ ▸ 26(ۚ) લ՝ఔՌൃදձ ▸ 27() ژ؍ޫ ▸ 28()
ٳΈ ▸ 29(݄)~9݄8() νʔϜଐɾ࣮ફ ▸ 9(ۚ) ࠷ऴՌൃදձ
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ 2016 ࠷ऴՌ ▸ ͯͳϒϩάίʔε ▸ aboutϖʔδฤूػೳ ͳͲ ▸ ػցֶशɾࣗવݴޠॲཧίʔε
▸ Ոిձٞͷݕࡧਫ਼্ ͳͲ ▸ iOSΞϓϦ։ൃίʔε ▸ ͯͳϒϩάͷΞΫηεղੳΟδΣοτ ͳͲ ▸ ΫϥυαʔόཧγεςϜίʔε (Mackerel) ▸ ΞϥʔτάϥϑʹࢹઃఆͷᮢΛඳը ͳͲ
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ ௨শʰਫ਼ਆͱ࣌ͷ෦ʱ
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ Πϯλʔϯͷత ▸ ࠾༻؍ ▸ ֶੜͱاۀ͕ೱີʹίϛϡχέʔγϣϯͰ͖Δػձ ▸ ࣾڭҭ؍ ▸ ڭՊॻࣾͷڭҭʹ͑Δ
▸ एखΤϯδχΞʹߨࢣ/ϝϯλʔΛܦݧͤ͞Δ ▸ ࣾձߩݙ؍ ▸ ΠϯλʔωοτͷԸฦ͠
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ Πϯλʔϯͷ४උ ▸ 3݄15 ΠϯλʔϯҕһձΩοΫΦϑ ▸ 3݄ ΧϦΩϡϥϜͷ͓͓ΑͦΛܾΊΔ ▸ ίϯϐϡʔλɾαΠΤϯεͷߨٛΛՃ͍ͨ͠ɺͱ͍͏͘
Β͍ͷΞότͳߏ ▸ Alpha Go͕ྲྀߦͬͯͨͷͰAlphaޒฒ࣮͠Α͏ͱ͔ ݴͬͯͨ ▸ ࠷ऴతʹ͜Ε͕৽ઃͷػցֶशߨٛͱ࣮ͯ͠ݱ͢Δ
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ Πϯλʔϯͷ४උ ▸ 4݄ ։࠵ࠂͱࣄલొ։࢝ ▸ 5݄ ืूαΠτͷ࡞ɻ25ʹืूαΠτΦʔϓϯ ▸ 6݄
ߨٛϓϩάϥϜͷৄࡉ͕ϑΟοΫεɻߨࢣͷબఆͳͲ ▸ 7݄ ืूకΊΓɻߨٛ४උɻڭՊॻͷΞοϓσʔτɻબߟ ͱ݁Ռ࿈བྷɻ ▸ 8݄ ຊ൪։࢝
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ Πϯλʔϯʹ͔͔ΘΔਓʑ ▸ ΤϯδχΞ৬ ▸ Πϯλʔϯҕһձ 4໊ ▸ ߨࢣ 11໊
▸ ϝϯλʔ 7໊ ▸ ͦͷଞͷ৬छ ▸ ਓࣄ 2໊ ▸ σβΠφ 1໊ ▸ ͦͷଞ ฤू, ใ ͳͲ
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ Πϯλʔϯͷ४උظؒͷʹ͍ͭͯ ▸ ֤νʔϜσΟϨΫλ͔Βɺिͷ10%΄ͲͷΛׂ͔ͤͯ Β͏Α͏ґཔ ▸ ʮઐ৬10%ϧʔϧʯΛ׆༻
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ ͭΒ͔ͬͨ͜ͱ ▸ ਘৗͰͳ͍ϓϨογϟʔ ▸ ʮͯͳΠϯλʔϯʯͱ͍͏ϒϥϯυ ▸ ୭Ԡืͯ͘͠Εͳ͔ͬͨΒͲ͏͠Α͏… ▸ ͍͍ਓ͕དྷͳ͔ͬͨΒͲ͏͠Α͏…
▸ ίϯτϩʔϥϒϧͰͳ͍ཁૉଟ͍
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ ͭΒ͔ͬͨ͜ͱ ▸ બߟ͕େม ▸ ݁Ռతʹաڈ࠷ଟͷԠื ▸ ͜ͷਓ͔ΒͲ͏ͬͯ8໊બ… ▸ ௨ա࿈བྷޙʹࣙୀ͕͋ͬͨΓ
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ ͭΒ͔ͬͨ͜ͱ ▸ ࣾௐ͕େม ▸ ͯͳͷશ৬छ͕ͳΜΒ͔ͷܗͰ͔͔Θͬͯ͘ΕΔ ▸ શһΊͪΌͪ͘Όલ͖ʹखͬͯ͘ΕΔ ▸ ͱ͍͑ਓؔ࿈෦͕ଟ͍͗ͯͨ͢Μ
▸ ڞ༗࿙ΕͳͲҕһձͱͯ͠ͷল͕͍͔ͭ͘
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ ՝ ▸ ΠϯλʔϯࠓͲͬͯ͜Δ ▸ Նͩͱଟ͘ͷձࣾͱ࣌ظ͕ඃΔ ▸ ֶੜෳͷΠϯλʔϯʹߦ͘ ▸ Πϯλʔϯͷ௨Խ/ظؒԽ
▸ ͯͳΠϯλʔϯ৽͍͠ܕΛߟ͑Δ࣌ظͩͱײ͡Δ
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ Πϯλʔϯͷࣄ͍ͭ·Ͱʁ ▸ ࣮·ͩऴΘͬͯͳ͍ɻϨϙʔταΠτ࡞ͬͯΔ ▸ དྷͷҕһձʹҾ͖ܧ͗͢Δ·Ͱ͕ҕһͷ͠͝ͱ
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ ΤϯδχΞઈࢍืूதʂ ▸ ৽ଔ ▸ த్ ▸ དྷͷΠϯλʔϯੜ ▸ ͓ؾܰʹ͓͕͚͍ͩ͘͞ʂʂʂ
ͯͳΠϯλʔϯͷͭ͘Γ͔ͨ ͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠