GithubHelp home page GithubHelp logo

documentsautocollection's Introduction

DocumensAutoCollection

本プログラムは,ローカルで日々編集・参照しているドキュメントを自動収集するものである.

使用方法

  1. rbenv と ruby-build をインストール

    $ git clone https://github.com/sstephenson/rbenv.git ~/.rbenv
    $ git clone https://github.com/sstephenson/ruby-build.git ~/.rbenv/plugins/ruby-build
  2. ruby と bundler をインストール

    # Install ruby 2.2.1
    $ rbenv install 2.2.1
    
    # Installation check
    $ rbenv global 2.2.1
    $ ruby -v # -> You will see: ruby 2.2.1...
    
    # Install bundler for your new Ruby
    $ gem install bundler
    
    # Activate bundler
    $ rbenv rehash
    
    # Get back to your sytem default Ruby if you want
    $ rbenv global system # say, /usr/bin/ruby
    $ ruby -v
  3. リポジトリをclone

  4. gemをインストール

    $ cd DocumentsAutoCollection
    $ bundle install --path vendor/bundle
  5. Documents_fileディレクトリを作成

    $ mkdir Documents_file
  6. setting_cronファイルの内容に従い,cronを設定

documentsautocollection's People

Watchers

James Cloos avatar Hiroaki Kobayashi avatar

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    🖖 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. 📊📈🎉

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 ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.