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Ohgyun Ahn
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ABC Talk #12 Node.js 시작하기 실습 예제: https://github.com/ohgyun/nsrank/
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In this talk, we are going to cover the use-case of food image generation at Delivery Hero, its impact and the challenges. In particular, we will present our image scoring solution for filtering out inappropriate images and elaborate on the models we are using.
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.
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Presentation from Melissa Klemke from her talk at Product Anonymous in April 2024
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Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
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Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance
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Angeliki Cooney has spent over twenty years at the forefront of the life sciences industry, working out of Wynantskill, NY. She is highly regarded for her dedication to advancing the development and accessibility of innovative treatments for chronic diseases, rare disorders, and cancer. Her professional journey has centered on strategic consulting for biopharmaceutical companies, facilitating digital transformation, enhancing omnichannel engagement, and refining strategic commercial practices. Angeliki's innovative contributions include pioneering several software-as-a-service (SaaS) products for the life sciences sector, earning her three patents. As the Senior Vice President of Life Sciences at Avenga, Angeliki orchestrated the firm's strategic entry into the U.S. market. Avenga, a renowned digital engineering and consulting firm, partners with significant entities in the pharmaceutical and biotechnology fields. Her leadership was instrumental in expanding Avenga's client base and establishing its presence in the competitive U.S. market.
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How to Troubleshoot Apps for the Modern Connected Worker
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ThousandEyes
Six common myths about ontology engineering, knowledge graphs, and knowledge representation.
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Six Myths about Ontologies: The Basics of Formal Ontology
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The Good, the Bad and the Governed - Why is governance a dirty word? David O'Neill, Chief Operating Officer - APIContext Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
apidays
In this presentation, we delve into leveraging Amazon Q to elevate developer efficiency and craft GenAI applications. Discover the key features and benefits of Amazon Q for streamlined application development. Learn how Amazon Q can revolutionize your development processes and empower you to create cutting-edge GenAI applications.
Elevate Developer Efficiency & build GenAI Application with Amazon Q
Elevate Developer Efficiency & build GenAI Application with Amazon Q
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Oracle Database 23ai New Feature introducing Vector Search using AI for getting better result. Introducing new Vector Search SQL Operators with Vector datatype for index.
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
Remote DBA Services
The microservices honeymoon is over. When starting a new project or revamping a legacy monolith, teams started looking for alternatives to microservices. The Modular Monolith, or 'Modulith', is an architecture that reaps the benefits of (vertical) functional decoupling without the high costs associated with separate deployments. This talk will delve into the advantages and challenges of this progressive architecture, beginning with exploring the concept of a 'module', its internal structure, public API, and inter-module communication patterns. Supported by spring-modulith, the talk provides practical guidance on addressing the main challenges of a Modultith Architecture: finding and guarding module boundaries, data decoupling, and integration module-testing. You should not miss this talk if you are a software architect or tech lead seeking practical, scalable solutions. About the author With two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
Uncertainty, Acting under uncertainty, Basic probability notation, Bayes’ Rule,
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Khushali Kathiriya
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Dropbox
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"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
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Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
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Why Teams call analytics are critical to your entire business
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
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How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Elevate Developer Efficiency & build GenAI Application with Amazon Q
Elevate Developer Efficiency & build GenAI Application with Amazon Q
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
Node.js 시작하기
1.
Node.js
2.
시작하기 ABC
3.
Talk
4.
/
5.
Steve
6.
Ahn
7.
오늘은, -
8.
Node.js의
9.
특징을
10.
아주
11.
간단히
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살펴보고, -
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개발을
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때
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필요한
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18.
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작은
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노드로
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27.
만들
28.
수
29.
있는
30.
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31.
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32.
것이
33.
목적!
34.
목차 -
35.
Node.js란? -
36.
모듈
37.
정의
38.
39.
40.
41.
-
42.
require,
43.
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44.
exports,
45.
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46.
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47.
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48.
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49.
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51.
52.
-
53.
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54.
package.json,
55.
node_modules -
56.
실습 -
57.
더
58.
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59.
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60.
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61.
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63.
built
64.
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65.
Chrome's
66.
JavaScript
67.
runtime for
68.
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69.
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70.
fast,
71.
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72.
network
73.
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74.
uses
75.
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76.
event-driven,
77.
non-blocking
78.
I/O
79.
model that
80.
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81.
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82.
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83.
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84.
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85.
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86.
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87.
real-time
88.
applications
89.
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90.
run
91.
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92.
distributed
93.
devices.
94.
95.
Node.js란? Node.js
96.
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97.
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98.
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99.
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100.
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101.
Chrome's
102.
JavaScript
103.
runtime for
104.
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105.
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106.
fast,
107.
scalable
108.
network
109.
applications. Node.js
110.
uses
111.
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112.
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113.
non-blocking
114.
I/O
115.
model that
116.
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117.
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118.
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119.
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120.
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121.
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122.
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123.
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124.
applications
125.
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126.
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128.
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129.
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130.
131.
Node.js란? Node.js
132.
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133.
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134.
platform
135.
built
136.
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137.
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138.
JavaScript
139.
runtime for
140.
easily
141.
building
142.
fast,
143.
scalable
144.
network
145.
applications. Node.js
146.
uses
147.
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148.
event-driven,
149.
non-blocking
150.
I/O
151.
model that
152.
makes
153.
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154.
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155.
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156.
efficient, perfect
157.
for
158.
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159.
real-time
160.
applications
161.
that
162.
run
163.
across
164.
distributed
165.
devices.
166.
167.
Node.js란? Node.js
168.
is
169.
a
170.
platform
171.
built
172.
on
173.
Chrome's
174.
JavaScript
175.
runtime for
176.
easily
177.
building
178.
fast,
179.
scalable
180.
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181.
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182.
uses
183.
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184.
event-driven,
185.
non-blocking
186.
I/O
187.
model that
188.
makes
189.
it
190.
lightweight
191.
and
192.
efficient, perfect
193.
for
194.
data-intensive
195.
real-time
196.
applications
197.
that
198.
run
199.
across
200.
distributed
201.
devices.
202.
203.
흔한
204.
HTTP
205.
서버
206.
예제 example.js var
207.
http
208.
=
209.
require('http'); http.createServer(function
210.
(req,
211.
res)
212.
{
213.
214.
res.writeHead(200,
215.
{'Content-Type':
216.
'text/plain'});
217.
218.
res.end('Hello
219.
Worldn'); }).listen(8000,
220.
'127.0.0.1'); console.log('Server
221.
running
222.
at
223.
http://127.0.0.1:8000/');
224.
흔한
225.
HTTP
226.
서버
227.
예제 $
228.
node
229.
example.js Server
230.
running
231.
at
232.
http://127.0.0.1:8000/
233.
좀
234.
더
235.
자세한
236.
내용은? node.js
237.
실용적인
238.
것! -
239.
정의나
240.
특성은
241.
검색하면
242.
쉽게
243.
찾을
244.
수
245.
있으니, -
246.
오늘은
247.
실용적인
248.
것만
249.
보기로
250.
해요. -
251.
모듈
252.
정의와
253.
패키지
254.
매니저에
255.
대해서만!
256.
모듈
257.
정의하기 -
258.
하나의
259.
파일은
260.
하나의
261.
모듈.
262.
파일명이
263.
모듈
264.
이름 -
265.
`.js`
266.
확장자를
267.
사용 -
268.
모듈의
269.
API를
270.
외부로
271.
공개하려고
272.
할
273.
땐,
274.
275.
276.
277.
`exports`
278.
변수의
279.
속성으로
280.
할당 -
281.
생성자나
282.
전체
283.
객체를
284.
내보낼
285.
땐
286.
`module.exports`에
287.
할당
288.
모듈
289.
정의하기 foo.js var
290.
myName
291.
=
292.
‘foo’; exports.whoami
293.
=
294.
function
295.
()
296.
{
297.
298.
return
299.
myName; };
300.
모듈
301.
가져오기 require(모듈명
302.
또는
303.
경로) require(‘http’);
304.
//--
305.
코어
306.
모듈 require(‘./foo’);
307.
//--
308.
동일한
309.
디렉토리의
310.
파일 require(‘foo’);
311.
//--
312.
다른
313.
패키지의
314.
모듈
315.
모듈
316.
정의하기 bar.js var
317.
foo
318.
=
319.
require(‘./foo.js’); foo.whoami();
320.
//--
321.
‘foo’
322.
CommonJS
323.
/
324.
Modules -
325.
CommonJS:
326.
자바스크립트
327.
생태계를
328.
위한
329.
API
330.
표준
331.
제정 -
332.
Modules
333.
API:
334.
모듈을
335.
정의하고
336.
가져오는
337.
것에
338.
대한
339.
API -
340.
node.js,
341.
MongoDB,
342.
RingoJS
343.
등에서
344.
구현 -
345.
연관
346.
주제:
347.
AMD,
348.
RequireJS
349.
모듈
350.
로딩
351.
순서 1.
352.
코어
353.
모듈이면
354.
바로
355.
리턴 2.
356.
‘./’,
357.
‘/’,
358.
‘../’
359.
등
360.
절대/상대
361.
경로로
362.
시작하면
363.
파일이나
364.
디렉토리
365.
로드 3.
366.
이름에
367.
해당하는
368.
외부
369.
모듈
370.
로드 4.
371.
못
372.
찾으면
373.
`not
374.
found`
375.
오류
376.
던짐 http://nodejs.org/api/modules.html#modules_all_together
377.
패키지
378.
관리 -
379.
NPM:
380.
Node
381.
Package
382.
Manager -
383.
https://npmjs.org/ -
384.
노드
385.
인스톨에
386.
기본으로
387.
포함되어
388.
있음 $
389.
npm
390.
외부
391.
패키지
392.
추가하기 $
393.
npm
394.
install
395.
packageName
396.
#
397.
다른
398.
패키지
399.
설치 -
400.
설치한
401.
외부
402.
패키지는
403.
`node_modules`
404.
디렉토리에
405.
추가
406.
의존
407.
모듈
408.
관리하기 -
409.
프로젝트의
410.
의존
411.
모듈을
412.
관리하고자
413.
한다면? -
414.
내가
415.
만든
416.
패키지를
417.
배포하고
418.
싶다면? -
419.
먼저,
420.
`package.json`을
421.
정의한다.
422.
package.json -
423.
패키지의
424.
내용을
425.
정의하고
426.
있는
427.
매니페스트
428.
파일 -
429.
http://package.json.nodejitsu.com/ $
430.
npm
431.
init
432.
#
433.
package.json
434.
생성
435.
외부
436.
패키지
437.
추가하기 $
438.
npm
439.
install
440.
packageName
441.
--save
442.
#
443.
package.json에
444.
추가 $
445.
npm
446.
install
447.
packageName
448.
--save-dev
449.
#
450.
개발용 $
451.
npm
452.
install
453.
#
454.
`package.json`의
455.
정보로
456.
의존
457.
패키지
458.
설치
459.
실습 -
460.
네이버
461.
오픈
462.
API로
463.
커맨드라인에서
464.
실시간
465.
급상승어
466.
가져오기 -
467.
커맨드라인에서
468.
결과
469.
출력하기 -
470.
만든
471.
모듈을
472.
npm
473.
리파지터리로
474.
퍼블리시하기
475.
실습 $
476.
npm
477.
install
478.
nsrank require(‘nsrank’).get(function
479.
(ranks)
480.
{
481.
482.
483.
484.
console.log(ranks); });
485.
실습 $
486.
nsrank 1
487.
김동현 2
488.
맥도날드
489.
할머니 3
490.
김동현
491.
에릭실바 4
492.
조선이공대
493.
실습 url.txt API
494.
URL
495.
정보 apiUrlReader.js URL
496.
읽어오기 nsrank.js 랭크
497.
가져오기 cli.js 커맨드라인
498.
출력
499.
npm에
500.
등록하기 -
501.
npm
502.
계정
503.
생성:
504.
https://npmjs.org/signup -
505.
커맨드라인에서
506.
로그인
507.
508.
509.
510.
$
511.
npm
512.
login -
513.
패키지를
514.
완성한
515.
디렉토리에서
516.
퍼블리시(업데이트도
517.
동일)
518.
519.
520.
521.
$
522.
npm
523.
publish
524.
QA
525.
더
526.
알아보기(대표적인
527.
외부
528.
모듈) 모듈
529.
검색은
530.
`npmjs.org`나
531.
구글에서~ -
532.
express:
533.
웹
534.
애플리케이션
535.
프레임워크 -
536.
connect:
537.
HTTP
538.
미들웨어
539.
프레임워크 -
540.
socket.io:
541.
리얼타임
542.
앱
543.
지원을
544.
위한
545.
라이브러리 -
546.
grunt:
547.
빌드
548.
도구
549.
더
550.
알아보기(Callback
551.
Hell) 중첩
552.
콜백은
553.
어떻게
554.
해결할
555.
수
556.
있을까? -
557.
중첩된
558.
코드를
559.
각각의
560.
함수로
561.
분리 -
562.
비동기
563.
처리를
564.
위한
565.
모듈을
566.
활용:
567.
async
568.
모듈 -
569.
프라미스
570.
패턴을
571.
활용:
572.
Promises
573.
Pattern,
574.
Q
575.
Library -
576.
관련
577.
문서
578.
579.
580.
581.
-
582.
http://callbackhell.com/
583.
584.
585.
586.
-
587.
How
588.
to
589.
avoid
590.
long
591.
nesting
592.
of
593.
asynchronous
594.
functions
595.
in
596.
Node.js?
597.
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