As a novice here, I find it difficult to get up to speed, for one big reason: I don't know if the cloned algo's I'm studying are any good.
I don't mean in terms of p and l, but in terms of best coding practices.
It seems like Quantopian has introduced a lot of new great stuff over the last 18 months, but I'm drowning trying to figure out if I'm learning how to write algos using outdated techniques.
Pipeline, then Pipeline Classifiers, now Quantopian 2...
I don't know about anyone else, but I would love to see a half of dozen canonical yet simple examples that demonstrate current best practices. Then, as you introduce new features, you can comment out the old code and introduce the new way to do things. As a student, I would find this extremely helpful.
Thanks for listening!