As the area of knowledge grows, so too does the perimeter of your ignorance.
Neil degrasse tyson
The Blog
Sketchnote: My 2023 Year Review
Reflecting on the compilation of my sketchnotes from 2021 to 2023 feels truly magical. Most of the time I don’t really feel any evident progress, and I often draw slowly. However, comparing all three together, I’m quite happy about the subtle evolution in my sketchnoting skills. 1. 2021 Year Review + 2022 Planning I started…
Book Notes: The Overstory by Richard Powers
I recently finished the book < The Overstory> by Richard Powers, which was published in 2018 and awarded the Pulitzer Prize for Fiction in 2019. I was introduced to this book through a sketchnote community known as Verbal to Visual, where Kelly Pratt and Doug Neil spoke highly of it. Their words piqued my interest,…
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Quick Links to My Medium Posts
Background Story I published my first post on Medium on Jul 17, 2021, two months after I joined my current company Outside. It’s roughly the same time I started to build my own website 3portkeys.com with a blurred intention to have a place documenting my learnings (Data Science & Machine Learning), book notes, sketchnotes, as…
Sketchnote: My 2022 Year Review
Rather than setting goals, I prefer to have a seed list, which are seeds I planted and wish to grow deeper and stronger, and one day can bloom, and become big trees!🌱 –> 🌷–> 🌲
How to recommend articles based on NFT attributes
Learnings from my first NFT Hackathon project: including general set-up for any Solana-based NFT projects and use-cases in the recommender system. I recently participated in my company’s hackathon, in which I got the front-row seat to experience the Solana-based NFT development process. Before doing this project, I was like most people — feeling that NFT,…
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Interact Data in Django 3 for Data Scientists
Article at a Glance: A brief intro to Django 3Which parts you might encounter as a data scientist?How-to run Migration with a step-by-step guide and sample codeHow-to run Django Query if you know SQL Who is it for: data scientists who want to plug your code into your organization’s codebase, which was based on Django.…
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