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Create Your Own Data Blog With Quarto And Python - mitsumi - 11-26-2025
![[Image: 46dbdd1b1381e53c32f8bf4291510273.jpg]](https://i126.fastpic.org/big/2025/1125/73/46dbdd1b1381e53c32f8bf4291510273.jpg)
Create Your Own Data Blog With Quarto And Python
Released 11/2025
With Charlie Joey Hadley
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 54m 56s | Size: 262 MB
Data blogs are incredibly powerful tools for building a portfolio of work or simply sharing your data passion. Learn how to quickly build and run a beautiful data blog in Python via Quarto.
Course details
Data blogs are important tools for showcasing your work and personal brand, offering you a creative outlet for sharing your interests and passions. If your data blog is about (or uses) Python, then you'll want to include Python code and output-but this can be a pain with most blogging platforms! That's where Quarto comes in.
Quarto is a complete data science reporting tool kit that allows you to craft documents with Python. But Quarto doesn't just enable wikis, docs, and reports. You can also build and run a fully-featured data blog through Quarto and publish freely to the web via GitHub Pages (or alternatives). In this course, data consultant and advocate Charlie Hadley covers everything you need to get going with your very own data blog. Learn how to create rich data blog posts, customize and beautify your data blog, create rich pages that you can add to your navigation, and publish your blog with Netlify and GitHub. Charlie also explains how to design social cards for your posts for sharing on LinkedIn and other networks. Plus, get tips on expectation management, avoiding perfectionism, and finding topics to regularly post about.This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time-all while using a tool that you'll likely encounter in the workplace. Check out "How we'll build a blog with GitHub Codespaces" with this course to learn how to get started.
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