Create a blog via Jekyll and post to Github

Image credit: Jekyll logo

Table of Contents

Install Jekyll

Jekyll is a static website generation framework written in Ruby language. The following is the official website introduction.

Jekyll is a static site generator. You give it text written in your favorite markup language and it uses layouts to create a static website. You can tweak how you want the site URLs to look, what data gets displayed on the site, and more. –Jekyll1

When installing Jekyll, you first need a Ruby package management environment. The commonly used package manager of the Ruby programming environment is gem. For example, executing the following statement in Ubuntu will also install gem.

  apt install ruby-dev

After installing gem, make sure its execution path is in our PATH environment variable. If you do not use the above method, but use virtual environment management tools such as rbenv, just call the gem configured in the virtual environment. Then you can install Jekyll by executing the following statement.

  gem install jekyll

Publish blog to Github

After installing Jekyll, you must hope to post something to Github first to see the effect. Especially understand this mood.

Then next, before blogging, let's firstly use Jekyll installed to generate a default site and publish it to Github. Execute the following command in the current path where you want to manage the blog locally.

  jekyll new folder-name-for-your-blog

Then a folder called folder-name-for-your-blog will be generated under the current path, which is the new blog source code created by Jekyll.

Then create a repository called on Github. After creating the repository, Github will prompt how to use git to push local content to the repository. Follow the wizard to push the contents of the folder-name-for-your-blog folder you just created to this repository.

Then wait a few minutes to open through your browser, and you can see Jekyll's welcome page if nothing unexpected happens.

This site is also created by the above method.

(Postscript on June 14, 2020)

This site has now been created using the hugo static website generation framework, To refer to the original site, please click here to visit.

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Xin Li
Xin Li

Research in areas such as machine learning, deep learning, and artificial intelligence applications, specialize in priority sampling and learning algorithm for non-uniform data and offset data.Learn more

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