Build a Data Science Portfolio (Free & Easy) with Jekyll & GitHub Pages | Part 2: Adding Posts

dataslice · Beginner ·🌐 Frontend Engineering ·5y ago

Key Takeaways

Build a data science portfolio using Jekyll and GitHub Pages, covering topics such as removing unused files, creating manually written blog posts, and embedding interactive visualizations from Jupyter and R Notebooks.

Original Description

Build a Data Science Portfolio (Free & Easy) with Jekyll & GitHub Pages | Part 2: Adding Posts Watch Part 1: https://www.youtube.com/watch?v=wCOInE7-E0I Timeline 0:00 Intro 0:34 Removing unused files 1:31 Manually written blog post 4:50 Jupyter notebook blog post 6:37 R Notebook blog post 8:48 Embedding interactive visualizations Markdown syntax: https://www.markdownguide.org/basic-syntax/ Additional Resources: Giraffe Academy Jekyll Tutorial Series: https://youtube.com/playlist?list=PLLAZ4kZ9dFpOPV5C5Ay0pHaa0RJFhcmcB HTML & CSS Tutorials: https://www.w3schools.com/html/ https://www.w3schools.com/css/default.asp GitHub Pages Documentation: https://docs.github.com/en/free-pro-team@latest/github/working-with-github-pages/getting-started-with-github-pages
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This video teaches viewers how to build a data science portfolio using Jekyll and GitHub Pages, covering topics such as creating blog posts and embedding interactive visualizations. By following along, viewers can create a professional-looking portfolio to showcase their data science projects. The tutorial assumes basic knowledge of HTML, CSS, and Markdown syntax.

Key Takeaways
  1. Remove unused files from the Jekyll template
  2. Create a manually written blog post using Markdown syntax
  3. Embed a Jupyter Notebook as a blog post
  4. Embed an R Notebook as a blog post
  5. Embed interactive visualizations in a blog post
💡 Using Jekyll and GitHub Pages, data scientists can easily create a professional-looking portfolio to showcase their projects, without requiring extensive web development knowledge.

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Chapters (6)

Intro
0:34 Removing unused files
1:31 Manually written blog post
4:50 Jupyter notebook blog post
6:37 R Notebook blog post
8:48 Embedding interactive visualizations
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