Code Monkey home page Code Monkey logo

abstractbuilder-2011411's Introduction

Build an Abstract from PRs

Class Activity for Special Lecture

Task: Using Collaboration and PRs in GitHub to build your fake Abstract.

Elements of an Abstract

Introduction

This is the first at part of the abstract, and should be brief and attractive to the reader at the same time. After reading a well written intro, the reader would be eager to read more.

Research significance, Gap or Problem

This usually answers the question: Why did you do this research?

Methodology

This usually answers the questions: What did you do? How did you do it?

Results

This answers the question: What did you find out after doing the research? Or what are the advantages of your method based on the results?

Conclusion

This usually answers the question: What do your findings mean? What have you contributed?

abstractbuilder-2011411's People

Contributors

315haoge avatar christopherwira avatar ctaguchi avatar mailtoy avatar markxiaotao avatar noppadol-assava avatar raux avatar tattiyas avatar vittunyuta-aom avatar yebityon avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.