40:13Long-form

How to create generative art (tutorial for NFT bros) with Python

SingaporePublished April 22, 2022

Views 2.94K  |  Likes 64  |  Comments 9
Views#13,505,275Global
Views#19,811Singapore

Channel

Samuel ChanSamuel Chan
10.2K subs•107 videos•Jun 2017

At a glance

Views

2,945

Likes

64

Comments

9

Performance vs. channel

All-time outlier score

Engagement rate

Revenue estimate

Details →

Total (all-time): $2 – $6

Based on estimated $0.7–$2 CPM.

About

A detailed, step-by-step tutorial on creating programmatic art (or NFT art) using Python. Great vibes. "NFT bro"-approved. 00:00 Make nft arts ? (context, intro to NFT bros and vibes) 04:11 Install samila (generative art generator) python library 05:20 Create your first generative art nft! 09:59 Using math and random …

Published
April 22, 2022
Made for kids
No

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How How to create generative art (tutorial for NFT bros) with Python is doing

It has 2.94K views in total. It ranks #13,505,275 among tracked YouTube videos by views.

Key facts about How to create generative art (tutorial for NFT bros) with Python

Total views
2.94K
Total likes
64
Total comments
9
Published
April 22, 2022
Global rank by views
#13,505,275

Frequently asked questions

How many views does How to create generative art (tutorial for NFT bros) with Python have?

How to create generative art (tutorial for NFT bros) with Python has 2,945 views, 64 likes and 9 comments, ranking #13,505,275 among tracked YouTube videos by views.

How accurate are these YouTube video analytics?

View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.

What is the outlier score?

How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.

What is engagement rate and how is it calculated?

Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.

How is the revenue estimate calculated?

It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.

Is this YouTube video analytics checker free?

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