Simplify your Quarto, Shiny, & Streamlit Deployments with Posit Connect Cloud! Get started using this link:
https://pos.it/keith_pcc
This comprehensive crash course introduces you to Quarto - an open-source publishing system that combines the simplicity of Markdown with the power of Python. Learn how to create professional reports, slideshows, websites, and dashboards that bridge the gap between your code and your audience.
What You'll Learn:
* Quarto Basics: Installation, markdown fundamentals, and embedding Python code in your documents
* Multiple Output Formats: Transform your Quarto files into HTML, PDF, presentations, and more
* Custom Styling: Master fenced divs, page layouts, and design options to create visually appealing documents
* Parameterized Reports: Generate multiple custom reports from a single template file
* Real-World Applications: Build analytics reports, presentations, and websites with practical examples
* Deployment Options: Share your work with teammates using Posit Connect Cloud
Perfect for data scientists, analysts, and developers who want to communicate their work more effectively. This crash course provides all the tools you need to start creating polished, professional documents that showcase your Python analyses.
#python #quarto #datascience
Links!
PDF Analytics Reports Video: https://youtu.be/Q3phTByW138?si=W4Z1b6I3pgY3iJuW
Check out the website built!
https://quartoisfun.com
Book a consultation with me (Upwork): https://www.upwork.com/services/product/marketing-keith-1514312208968638464?ref=project_share
Source Code —
Quarto Crash Course: https://github.com/KeithGalli/quarto-crash-course
Quarto Projects: https://github.com/KeithGalli/quarto-projects/tree/master
Data Portfolio Website: https://github.com/KeithGalli/quarto-portfolio
Miscellaneous Resources —
Bootstrap Icons: https://icons.getbootstrap.com/
Airbnb Data: https://insideairbnb.com/get-the-data/
Video Timeline!
0:00:00 - Video Overview
Part 1: Quarto Crash Course
0:03:02 - Introduction & Quarto Overview
0:04:26 - Installation, Setup & Markdown Basics
0:11:00 - Styling & Formatting (CSS, fenced divs)
0:21:51 - Parameters & CLI Options
0:43:00 - HTML, Publishing & Static Docs
0:57:07 - Dashboards & Slideshows
1:18:25 - Websites & Automated Report Generation
Part 2: Generate 100s of Reports in Minutes! (Parameterized Reporting)
1:38:38 - Overview & Starter Code
1:41:58 - Passing Parameters (Python & R)
1:45:14 - Dynamically Generating Markdown (asis)
1:50:34 - Adding Images, Graphs & Pagebreaks
1:56:32 - Tying Everything Together & Styling
Part 3: Convert Jupyter Notebooks into Analytics Reports
2:04:29 - Overview & Accessing Code/Data
2:06:15 - Rendering Notebook as HTML
2:07:59 - Quick Report Improvements (YAML, hiding code)
2:12:44 - Business Context & Insights
2:18:59 - Aesthetic Refinements & Publishing
Part 4: Real-World Dashboard Project (Airbnb Review Analysis)
2:38:27 - Overview & Data Setup
2:40:05 - Dashboard Layout & Value Boxes
2:55:27 - Matplotlib Visualizations & Folium Map
3:11:45 - Interactive Tables (itables)
3:20:50 - Shiny Integration & Hosting
Part 5: Create Slideshows with Python & Markdown Code
3:30:54 - Overview & Slideshow Basics
3:37:09 - PPTX & RevealJS Outputs
3:45:34 - Data Visualizations & Dataframes
3:49:09 - Presentation Features & Shortcuts
4:00:08 - _brand.yml Styling & Notebook to RevealJS
Part 6: Build a Data Science Portfolio Website
4:11:04 - Overview & Getting Started (Quarto, Python)
4:23:50 - Sidebar, Navigation & Custom Themes
4:39:42 - Adding Social Media Links
4:40:54 - Extra Sections & Navbar
4:51:29 - Deployment & Custom Domains
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Twitter | https://twitter.com/keithgalli
TikTok | https://tiktok.com/@keithgalli
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Learn data skills with hands-on exercises & tutorials at Datacamp!
https://datacamp.pxf.io/c/3588040/1012793/13294
Practice your Python Pandas data science skills with problems on StrataScratch!
https://stratascratch.com/?via=keith
Join the Python Army to get access to perks!
YouTube - https://www.youtube.com/channel/UCq6XkhO5SZ66N04IcPbqNcw/join
Patreon - https://www.patreon.com/keithgalli
*I use affiliate links on the products that I recommend. I may earn a purchase commission or a referral bonus from the usage of these links.