Vuetable is a Vue 2.x Reusable Data Table Component

Vuetable-2 - data table simplify!

Vuetable-2 v2.0-beta is available now!

See the next branch.

Vuetable-2 works with Vue 2.x, vuetable is for Vue 1.x

If you’re looking for the version that’s working with Vue 1.x, please go to vuetable repo.

Documentation and Tutorial

Documentation is still under development, but you can view it at https://ratiw.github.io/vuetable-2. Thanks to @cristijora for the help.

Meanwhile, check out

  • the Tutorial with follow-along project here. It should be enough to get you started.

  • Sample project using Vuetable-2 with Laravel 5.4 and Laravel-Mix

If you’ve been using Vuetable for Vue 1.x before, checkout what’s changed for info on changes from Vuetable for Vue 1.x and the upgrade guide on how you could upgrade from Vuetable for Vue 1.x.

You can now make use of Vue’s scoped slot using the new __slot special field, thanks to @sjmarve. That means you are able to define action buttons per instance of a data table without depending on a globally defined component.

Use scoped slot in parent when defining the actions Vue Doc for scopped Slots

e.g.

<template slot="actions" scope="props">
    <div class="table-button-container">
        <button class="btn btn-default" @click="onClick('edit-item', props.rowData)"><i class="fa fa-edit"></i> View</button>&nbsp;&nbsp;
        <button class="btn btn-danger" @click="onClick('delete-item', props.rowData)"><i class="fa fa-remove"></i> Edit</button>&nbsp;&nbsp;
    </div>
</template>

the onClick function can now be defined in the parent and the parent has Access to rowData and rowIndex via props. :)

The original functionality still works

Breaking Changes

v1.6.0

  • The icons prop of VuetablePagination is now moved into the css prop object. See this codepen.

Example Code

  • Clone the project
  • Go into the cloned directory
  • npm install
  • npm run dev
  • Open browser to http://localhost:8080

Usage

NPM

npm install vuetable-2 --save-dev

Javascript via CDN

Thanks to @cristijora for providing helps on this.

// vuetable-2 dependencies
<script src="https://cdnjs.cloudflare.com/ajax/libs/vue/2.2.6/vue.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/axios/0.16.1/axios.min.js"></script>
// vuetable-2
<script src="https://unpkg.com/vuetable-2@1.6.0"></script>
Vue.use(Vuetable)

This is demonstrated in this jsfiddle.

The .use from above will register all the components globally.

function install(Vue){
  Vue.component("vuetable", Vuetable);
  Vue.component("vuetable-pagination", VueTablePagination);
  Vue.component("vuetable-pagination-dropdown", VueTablePaginationDropDown);
  Vue.component("vuetable-pagination-info", VueTablePaginationInfo);
}

Also you have the ability to access certain components if you need them:

VueTable: VueTable.default/VueTable.VueTable,
VueTablePagination: VueTable.VueTablePagination,
VueTablePaginationInfo: VueTable.VueTablePaginationInfo,
VueTablePaginationDropdown: VueTable.VueTablePaginationDropdown

Contributions

Any contribution to the code (via pull request would be nice) or any part of the documentation and any idea and/or suggestion are very welcome.

Note For any bug fix, the PR should be forked from the master branch. And for any suggestion or additional feature, the PR should be forked from the develop branch, where it can be integrated and rolled out in the next release.

If you are not sure, please ask by openning a new issue.

However, please do not feel bad if your pull requests or contributions do not get merged or implemented into Vuetable.

Your contributions can, not only help make Vuetable better, but also push it away from what I intend to use it for. I just hope that you find it useful for your use or learn something useful from its source code. But remember, you can always fork it to make it work the way you want.

Download Details:

Author: ratiw

Live Demo: https://vuetable.com/

GitHub: https://github.com/ratiw/vuetable-2

#vuejs #javascript #vue-js #vue

What is GEEK

Buddha Community

Vuetable is a Vue 2.x Reusable Data Table Component
최 호민

최 호민

1642390128

파이썬 코딩 무료 강의 - 이미지 처리, 얼굴 인식을 통한 캐릭터 씌우기를 해보아요

파이썬 코딩 무료 강의 (활용편6) - 이미지 처리, 얼굴 인식을 통한 캐릭터 씌우기를 해보아요

파이썬 무료 강의 (활용편6 - 이미지 처리)입니다.
OpenCV 를 이용한 다양한 이미지 처리 기법과 재미있는 프로젝트를 진행합니다.
누구나 볼 수 있도록 쉽고 재미있게 제작하였습니다. ^^

[소개]
(0:00:00) 0.Intro
(0:00:31) 1.소개
(0:02:18) 2.활용편 6 이미지 처리 소개

[OpenCV 전반전]
(0:04:36) 3.환경설정
(0:08:41) 4.이미지 출력
(0:21:51) 5.동영상 출력 #1 파일
(0:29:58) 6.동영상 출력 #2 카메라
(0:34:23) 7.도형 그리기 #1 빈 스케치북
(0:39:49) 8.도형 그리기 #2 영역 색칠
(0:42:26) 9.도형 그리기 #3 직선
(0:51:23) 10.도형 그리기 #4 원
(0:55:09) 11.도형 그리기 #5 사각형
(0:58:32) 12.도형 그리기 #6 다각형
(1:09:23) 13.텍스트 #1 기본
(1:17:45) 14.텍스트 #2 한글 우회
(1:24:14) 15.파일 저장 #1 이미지
(1:29:27) 16.파일 저장 #2 동영상
(1:39:29) 17.크기 조정
(1:50:16) 18.이미지 자르기
(1:57:03) 19.이미지 대칭
(2:01:46) 20.이미지 회전
(2:06:07) 21.이미지 변형 - 흑백
(2:11:25) 22.이미지 변형 - 흐림
(2:18:03) 23.이미지 변형 - 원근 #1
(2:27:45) 24.이미지 변형 - 원근 #2

[반자동 문서 스캐너 프로젝트]
(2:32:50) 25.미니 프로젝트 1 - #1 마우스 이벤트 등록
(2:42:06) 26.미니 프로젝트 1 - #2 기본 코드 완성
(2:49:54) 27.미니 프로젝트 1 - #3 지점 선 긋기
(2:55:24) 28.미니 프로젝트 1 - #4 실시간 선 긋기

[OpenCV 후반전]
(3:01:52) 29.이미지 변형 - 이진화 #1 Trackbar
(3:14:37) 30.이미지 변형 - 이진화 #2 임계값
(3:20:26) 31.이미지 변형 - 이진화 #3 Adaptive Threshold
(3:28:34) 32.이미지 변형 - 이진화 #4 오츠 알고리즘
(3:32:22) 33.이미지 변환 - 팽창
(3:41:10) 34.이미지 변환 - 침식
(3:45:56) 35.이미지 변환 - 열림 & 닫힘
(3:54:10) 36.이미지 검출 - 경계선
(4:05:08) 37.이미지 검출 - 윤곽선 #1 기본
(4:15:26) 38.이미지 검출 - 윤곽선 #2 찾기 모드
(4:20:46) 39.이미지 검출 - 윤곽선 #3 면적

[카드 검출 & 분류기 프로젝트]
(4:27:42) 40.미니프로젝트 2

[퀴즈]
(4:31:57) 41.퀴즈

[얼굴인식 프로젝트]
(4:41:25) 42.환경설정 및 기본 코드 정리
(4:54:48) 43.눈과 코 인식하여 도형 그리기
(5:10:42) 44.그림판 이미지 씌우기
(5:20:52) 45.캐릭터 이미지 씌우기
(5:33:10) 46.보충설명
(5:40:53) 47.마치며 (학습 참고 자료)
(5:42:18) 48.Outro


[학습자료]
수업에 필요한 이미지, 동영상 자료 링크입니다.

고양이 이미지 : https://pixabay.com/images/id-2083492/ 
크기 : 640 x 390  
파일명 : img.jpg

고양이 동영상 : https://www.pexels.com/video/7515833/ 
크기 : SD (360 x 640)  
파일명 : video.mp4

신문 이미지 : https://pixabay.com/images/id-350376/ 
크기 : 1280 x 853  
파일명 : newspaper.jpg

카드 이미지 1 : https://pixabay.com/images/id-682332/ 
크기 : 1280 x 1019  
파일명 : poker.jpg

책 이미지 : https://www.pexels.com/photo/1029807/ 
크기 : Small (640 x 853)  
파일명 : book.jpg

눈사람 이미지 : https://pixabay.com/images/id-1300089/ 
크기 : 1280 x 904  
파일명 : snowman.png

카드 이미지 2 : https://pixabay.com/images/id-161404/ 
크기 : 640 x 408  
파일명 : card.png

퀴즈용 동영상 : https://www.pexels.com/video/3121459/ 
크기 : HD (1280 x 720)  
파일명 : city.mp4

프로젝트용 동영상 : https://www.pexels.com/video/3256542/ 
크기 : Full HD (1920 x 1080)  
파일명 : face_video.mp4

프로젝트용 캐릭터 이미지 : https://www.freepik.com/free-vector/cute-animal-masks-video-chat-application-effect-filters-set_6380101.htm  
파일명 : right_eye.png (100 x 100), left_eye.png (100 x 100), nose.png (300 x 100)

무료 이미지 편집 도구 : https://pixlr.com/kr/
(Pixlr E -Advanced Editor)

#python #opencv 

Siphiwe  Nair

Siphiwe Nair

1620466520

Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition

Gerhard  Brink

Gerhard Brink

1620629020

Getting Started With Data Lakes

Frameworks for Efficient Enterprise Analytics

The opportunities big data offers also come with very real challenges that many organizations are facing today. Often, it’s finding the most cost-effective, scalable way to store and process boundless volumes of data in multiple formats that come from a growing number of sources. Then organizations need the analytical capabilities and flexibility to turn this data into insights that can meet their specific business objectives.

This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that’s designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You’ll also explore key benefits and common use cases.

Introduction

As technology continues to evolve with new data sources, such as IoT sensors and social media churning out large volumes of data, there has never been a better time to discuss the possibilities and challenges of managing such data for varying analytical insights. In this Refcard, we dig deep into how data lakes solve the problem of storing and processing enormous amounts of data. While doing so, we also explore the benefits of data lakes, their use cases, and how they differ from data warehouses (DWHs).


This is a preview of the Getting Started With Data Lakes Refcard. To read the entire Refcard, please download the PDF from the link above.

#big data #data analytics #data analysis #business analytics #data warehouse #data storage #data lake #data lake architecture #data lake governance #data lake management

Vuetable is a Vue 2.x Reusable Data Table Component

Vuetable-2 - data table simplify!

Vuetable-2 v2.0-beta is available now!

See the next branch.

Vuetable-2 works with Vue 2.x, vuetable is for Vue 1.x

If you’re looking for the version that’s working with Vue 1.x, please go to vuetable repo.

Documentation and Tutorial

Documentation is still under development, but you can view it at https://ratiw.github.io/vuetable-2. Thanks to @cristijora for the help.

Meanwhile, check out

  • the Tutorial with follow-along project here. It should be enough to get you started.

  • Sample project using Vuetable-2 with Laravel 5.4 and Laravel-Mix

If you’ve been using Vuetable for Vue 1.x before, checkout what’s changed for info on changes from Vuetable for Vue 1.x and the upgrade guide on how you could upgrade from Vuetable for Vue 1.x.

You can now make use of Vue’s scoped slot using the new __slot special field, thanks to @sjmarve. That means you are able to define action buttons per instance of a data table without depending on a globally defined component.

Use scoped slot in parent when defining the actions Vue Doc for scopped Slots

e.g.

<template slot="actions" scope="props">
    <div class="table-button-container">
        <button class="btn btn-default" @click="onClick('edit-item', props.rowData)"><i class="fa fa-edit"></i> View</button>&nbsp;&nbsp;
        <button class="btn btn-danger" @click="onClick('delete-item', props.rowData)"><i class="fa fa-remove"></i> Edit</button>&nbsp;&nbsp;
    </div>
</template>

the onClick function can now be defined in the parent and the parent has Access to rowData and rowIndex via props. :)

The original functionality still works

Breaking Changes

v1.6.0

  • The icons prop of VuetablePagination is now moved into the css prop object. See this codepen.

Example Code

  • Clone the project
  • Go into the cloned directory
  • npm install
  • npm run dev
  • Open browser to http://localhost:8080

Usage

NPM

npm install vuetable-2 --save-dev

Javascript via CDN

Thanks to @cristijora for providing helps on this.

// vuetable-2 dependencies
<script src="https://cdnjs.cloudflare.com/ajax/libs/vue/2.2.6/vue.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/axios/0.16.1/axios.min.js"></script>
// vuetable-2
<script src="https://unpkg.com/vuetable-2@1.6.0"></script>
Vue.use(Vuetable)

This is demonstrated in this jsfiddle.

The .use from above will register all the components globally.

function install(Vue){
  Vue.component("vuetable", Vuetable);
  Vue.component("vuetable-pagination", VueTablePagination);
  Vue.component("vuetable-pagination-dropdown", VueTablePaginationDropDown);
  Vue.component("vuetable-pagination-info", VueTablePaginationInfo);
}

Also you have the ability to access certain components if you need them:

VueTable: VueTable.default/VueTable.VueTable,
VueTablePagination: VueTable.VueTablePagination,
VueTablePaginationInfo: VueTable.VueTablePaginationInfo,
VueTablePaginationDropdown: VueTable.VueTablePaginationDropdown

Contributions

Any contribution to the code (via pull request would be nice) or any part of the documentation and any idea and/or suggestion are very welcome.

Note For any bug fix, the PR should be forked from the master branch. And for any suggestion or additional feature, the PR should be forked from the develop branch, where it can be integrated and rolled out in the next release.

If you are not sure, please ask by openning a new issue.

However, please do not feel bad if your pull requests or contributions do not get merged or implemented into Vuetable.

Your contributions can, not only help make Vuetable better, but also push it away from what I intend to use it for. I just hope that you find it useful for your use or learn something useful from its source code. But remember, you can always fork it to make it work the way you want.

Download Details:

Author: ratiw

Live Demo: https://vuetable.com/

GitHub: https://github.com/ratiw/vuetable-2

#vuejs #javascript #vue-js #vue

Cyrus  Kreiger

Cyrus Kreiger

1618039260

How Has COVID-19 Impacted Data Science?

The COVID-19 pandemic disrupted supply chains and brought economies around the world to a standstill. In turn, businesses need access to accurate, timely data more than ever before. As a result, the demand for data analytics is skyrocketing as businesses try to navigate an uncertain future. However, the sudden surge in demand comes with its own set of challenges.

Here is how the COVID-19 pandemic is affecting the data industry and how enterprises can prepare for the data challenges to come in 2021 and beyond.

#big data #data #data analysis #data security #data integration #etl #data warehouse #data breach #elt