apps-android-commons VS NumPy

A good place to look for answers is in the issues section of the app in question. Often someone will notice F-Droid is out of date and will open an issue.

Commons (version 3.1.0-alpha): Upload images to wikimedia.org

https://github.com/commons-app/apps-android-commons The Wikimedia Commons Android app allows users to upload pictures from their Android phone/tablet to Wikimedia Commons

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]