Data scientists often use NumPy inefficiently without understanding its internals.
Write an advanced guide explaining optimization techniques with concrete benchmarks.
Sell to data teams and individual practitioners as an ebook or video course.
Start with blog posts testing optimizations, then compile into a product.
Risk is that free resources may cover similar ground over time.