6 Costly Numpy Mistakes to Avoid in Python
6 Costly Numpy Mistakes to Avoid in Python

Let’s learn from each others mistakes

Photo by Timothy Dykes on Unsplash

Numpy is one of the most central libraries to Python but we all make simple mistakes, or we even make those mistakes that we know we shouldn’t make but still haven’t really figured out how to broach the subject.

I’m a pretty average programmer and even now, I still fumble around with many problems that I face in Python . So with that in mind, I decided to write down what common problems we face and how to go about them.

It’s embarrassing to have lived through these: but here we go!
['Mohammad Ahmad']
['Tech', 'Python3', 'Python', 'Technology', 'Data Science']