$30 off During Our Annual Pro Sale. View Details »
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
사실주의 베이컨
Search
Sunghyun Hwang
June 15, 2019
How-to & DIY
1
99
사실주의 베이컨
[4회차 콘샐러드]에서 발표한 [사실주의 베이컨] 발표 자료입니다.
Sunghyun Hwang
June 15, 2019
Tweet
Share
More Decks by Sunghyun Hwang
See All by Sunghyun Hwang
MongoDB in Banksalad
sunghyunzz
0
460
[ConSalad 05] from banksalad import python
sunghyunzz
0
180
from banksalad import python
sunghyunzz
0
810
Clean Architecture (in Android) Revised
sunghyunzz
1
1k
학습하는 조직과 Python: 뱅크샐러드 사례를 중심으로
sunghyunzz
2
2k
The Secrets of Cooperation
sunghyunzz
0
510
Pragmatic Python
sunghyunzz
1
170
Practical FP in Kotlin
sunghyunzz
4
1.2k
Akka (Actor) in Practice
sunghyunzz
0
500
Other Decks in How-to & DIY
See All in How-to & DIY
活動振り返りと生成AIによるコード生成の試み
covao
0
130
Trying "Vibe No-code/Low-code" with MCP #noderedjp
n0bisuke2
0
110
地方カンファレンスのスタッフしてて思うこと
yumechi
0
150
5年間ぐらい、 スプリントレトロスペクティブは、 「+/Δ」しかしてないので、 あらためて良いのか悪いか考えてみる / Doing Plus Delta for about five years
camel_404
1
280
AWSコミュニティプログラムとJAWS-UGアップデート / JAWS-UG函館 勉強会 vol.14
awsjcpm
2
170
Node-REDでセンサーなどから起動させるカメラノードを作ったよ IoTLT vol123 #iotlt
n0bisuke2
0
110
M5Stackを使ってSズキの魔改造モンスターマシンを作ってみた
syumme01
0
250
すぐできる! 運送業でやってみた業務効率化3選
dochin2635
0
150
JAWS-UGについて JAWS-UG TOHOKU [青森] 弘前開催
awsjcpm
0
280
ATOMS3R-CAMとClaude SKILLSでタイムラプスチャレンジ #iotlt
n0bisuke2
0
190
AWS Summit Japan 2025 個人的参加レポート
midnight480
0
190
HCIのデモに役立つ映像活用アイデア集 #WISS2024 ナイトセッション #HCIVideoCulture
bonsaistudiojp
2
1.1k
Featured
See All Featured
GraphQLの誤解/rethinking-graphql
sonatard
73
11k
ラッコキーワード サービス紹介資料
rakko
0
1.8M
A brief & incomplete history of UX Design for the World Wide Web: 1989–2019
jct
1
260
Tell your own story through comics
letsgokoyo
0
760
Test your architecture with Archunit
thirion
1
2.1k
BBQ
matthewcrist
89
9.9k
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
231
22k
The Straight Up "How To Draw Better" Workshop
denniskardys
239
140k
The Art of Programming - Codeland 2020
erikaheidi
56
14k
A designer walks into a library…
pauljervisheath
210
24k
Collaborative Software Design: How to facilitate domain modelling decisions
baasie
0
97
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
12
980
Transcript
ࢎप ߬ஶ ܻח যڌѱ ޖਸ ߓ Ѫੋо ടࢿഅ
None
ইח Ѫ ൨scientia potentia est ےदझ ߬ஶ, ~नӝҙ
оࢸ? 01 оࢸ Ѩૐ? 02 оࢸ ӝ? 03
"ࣗۄపझח લח"ܳ ইח ߑߨٜ 1. ࢎۈ લח 2. ࣗۄపझח ࢎۈ
3. ࣗۄపझח લח
"ࣗۄపझח લח"ܳ ইח ߑߨٜ 1. ࢎۈ લח 2. ࣗۄపझח ࢎۈ
3. ࣗۄపझח લח
"ࣗۄపझח લח"ܳ ইח ߑߨٜ 1. ࢎۈ લח 2. ࣗۄపझח ࢎۈ
3. ࣗۄపझח લח ഛ غա?
"ࣗۄపझח લח"ܳ ইח ߑߨٜ 1. ઁԈ ҙ೧ࠁפ ࢎۈٜ ࠗ࠙ લ؍ؘ
2. ࣗۄపझب ࢎۈפ ઃр લѷ
"ࣗۄపझח લח"ܳ ইח ߑߨٜ 1. ઁԈ ҙ೧ࠁפ ࢎۈٜ ࠗ࠙ લ؍ؘ
2. ࣗۄపझب ࢎۈפ ઃр લѷ Ѧ ॄݡਸ ࣻ ਸө?
"ࣗۄపझח લח"ܳ ইח ߑߨٜ 1. ࣗۄపझח લਸ Ѫ (оࢸ) 2.
ೠ 100֙ റী ղо ഛੋೡ Ѫ (Ѩૐ)
"ࣗۄపझח લח"ܳ ইח ߑߨٜ 1. ࣗۄపझח લਸ Ѫ (оࢸ) 2.
ೠ 100֙ റী ղо ഛੋೡ Ѫ (Ѩૐ)
None
Ѩૐ ੌ߈ੋ ഋకٜ 1. ஹੌ/పझ (٘о উ جইоਃ) 2. زܐ
ೖ٘ߔ (য ӒѤ ইצ Ѫ эؘਃ)
Ѩૐ ੌ߈ੋ ഋకٜ 1. ஹੌ/పझ (٘о উ جইоਃ) 2. زܐ
ೖ٘ߔ (য ӒѤ ইצ Ѫ эؘਃ)
Ѩૐ ੌ߈ੋ ഋకٜ 1. ஹੌ/పझ (٘о উ جইоਃ) 2. زܐ
ೖ٘ߔ (য ӒѤ ইצ Ѫ эؘਃ)
Ѩૐ ੌ߈ੋ ഋకٜ 1. ஹੌ/పझ (٘о উ جইоਃ) 2. زܐ
ೖ٘ߔ (য ӒѤ ইצ Ѫ эؘਃ)
ೖ٘ߔী ೠ ҙ ജ ೖ٘ߔ যח ѱ ইפۄ ղо ݅ٚ
৵ջ? оࢸ Ѩૐ ਃೠ Ѥ աפө
ೖ٘ߔী ೠ ҙ ജ ೖ٘ߔ যח ѱ ইפۄ ղо ݅ٚ
৵? оࢸ Ѩૐ ਃೠ Ѥ աפө
ೖ٘ߔী ೠ ҙ ജ ೖ٘ߔ যח ѱ ইפۄ ղо ݅ٚ
৵? оࢸ Ѩૐ ਃೠ Ѥ աפө
The only way to discover your strengths is through feedback
analysis. Whenever you make a key decision or take a key action, write down what you expect will happen. Peter Drucker, ~Managing Oneself
Nine or 12 months later, compare the actual results with
your expectations. I have been practicing this method for 15 to 20 years now, and every time I do it, I am surprised Peter Drucker, ~Managing Oneself
None
✅ оࢸ[Ѩૐ/ೖ٘ߔ] হݶ ण द হ
✅ оࢸ[Ѩૐ/ೖ٘ߔ] হݶ ण द হ
✅ оࢸ[Ѩૐ/ೖ٘ߔ] হݶ ण द হ
✍& var nrOfCornSalad = 4
( nr ޤભ? number۽ যঠ ഁтܻ ঋਸ Ѫ эইਃ
✍& var nrOfCornSalad = 4 ( nr ޤભ? number۽ যঠ
ഁтܻ ঋਸ Ѫ эইਃ "߸ࣻݺ ୭ೠ ಽয ॳ"
✍& var ExpectedHypertextTransferProtocolStatusCode = 201
* ߸ࣻݺ ցޖ ӡযࢲ ٘о ੜ ׀ী ٜযয় ঋইਃ
✍& Ӓۧ݅ ( ש ߸ࣻݺਸ ಽয ॄ׳ۄҊ ਃೞ࣑যਃ
( ח ੍ӝ જ ٘ܳ ࢿೞח ফӝܳ ೮؍ Ѥؘਃ
ೞաܳ ٜਵݶ ৌਸ উዬᬰᚌ ղо ഛࠁೠ [оࢸ] ਊغח ࢚ട/ߧਤо ৌ10
ೞաܳ ٜਵݶ ೞաܳ উ ղо ഛࠁೠ [оࢸ] ਊغח ࢚ട/ߧਤо ೞա
1. ܳ ঈೞӝ য۰ ߸ࣻݺਸ ೖೞ 2. ੍ӝ જ ٘о
જ ٘ 3. যڌѱ ٘ܳ ࢿೡ ݺഛೠ ইఃఫо જ ইఃఫ 4. যڌѱ ٘ܳ ࢿೡ ݺഛೠ ٘߬झо જ ٘߬झ
1. ܳ ঈೞӝ য۰ ߸ࣻݺਸ ೖೞ 2. ੍ӝ જ ٘о
જ ٘ 3. যڌѱ ٘ܳ ࢿೡ ݺഛೠ ইఃఫо જ ইఃఫ 4. যڌѱ ٘ܳ ࢿೡ ݺഛೠ ٘߬झо જ ٘߬झ
1. ܳ ঈೞӝ য۰ ߸ࣻݺਸ ೖೞ 2. ੍ӝ જ ٘о
જ ٘ 3. যڌѱ ٘ܳ ࢿೡ ݺഛೠ ইఃఫо જ ইఃఫ 4. যڌѱ ٘ܳ ࢿೡ ݺഛೠ ٘߬झо જ ٘߬झ
1. ܳ ঈೞӝ য۰ ߸ࣻݺਸ ೖೞ 2. ੍ӝ જ ٘о
જ ٘ 3. যڌѱ ٘ܳ ࢿೡ ݺഛೠ ইఃఫо જ ইఃఫ 4. যڌѱ ٘ܳ ࢿೡ ݺഛೠ ٘߬झо જ ٘߬झ
1. ٘ ܻ࠭ܳ ߉ইঠ ࡈܻ ࢿೠ 2. ࢎۈٜ۽ࠗఠ ೖ٘ߔਸ ݆
߉ইঠ ࡈܻ ࢿೠ 3. ೖ٘ߔਸ ߉ইঠ ࡈܻ ࢿೠ
1. ٘ ܻ࠭ܳ ߉ইঠ ࡈܻ ࢿೠ 2. ࢎۈٜ۽ࠗఠ ೖ٘ߔਸ ݆
߉ইঠ ࡈܻ ࢿೠ 3. ೖ٘ߔਸ ߉ইঠ ࡈܻ ࢿೠ
1. ٘ ܻ࠭ܳ ߉ইঠ ࡈܻ ࢿೠ 2. ࢎۈٜ۽ࠗఠ ೖ٘ߔਸ ݆
߉ইঠ ࡈܻ ࢿೠ 3. ೖ٘ߔਸ ߉ইঠ ࡈܻ ࢿೠ
None
ࠛഛपೠ ࢚ടਸ ӓࠂೞח о જ ߑߨ ഛपೣਸ ݆ ഛࠁೞח Ѫ
✅
ࠛഛपೠ ࢚ടਸ ӓࠂೞח о જ ߑߨ ഛपೣਸ ݆ ഛࠁೞח Ѫ
✅
ࠛഛपೠ ࢚ടਸ ӓࠂೞח о જ ߑߨ оࢸ Ѩૐਸ ؊ ࡈܻ
ೞח Ѫ ✅
ࠛഛपೠ ࢚ടਸ ӓࠂೞח о જ ߑߨ ೖ٘ߔਸ ؊ ࡈܻ ח
Ѫ ✅
ࢎۈ() ݈ೞҊ ೮؍ ѱ ۠ ڷੌө? , ޙҗ ߸ਸ
ా೧ Ѩૐ೧ࠁ