node-express-realworld-example-app VS NumPy

Realworld express. Whenever I need an implementation in a new language, I always check to see if there's a realworld repo.

check this out https://github.com/gothinkster/node-express-realworld-example-app

I've always thought this was a pretty good place to see how frameworks look in a 'real-world' way. https://github.com/gothinkster/realworld Since each repo is a clone of Medium.com you can see how expressjs compares to NestJS, or Laravel or Spring, etc.

In NumPy with @, dot() or matmul():

In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication.

Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:

numpy: A library for scientific computing in Python

Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy.

I was looking at all the big projects like numpy, pytorch, flask, etc.

I wish the NumPy devs would more thoroughly consider adding full fluent API support, e.g. x.sqrt().ceil(). [Issue #24081]