Jupyter notebooks vs Python projects: Learn when when to use which | Ep 1

William and Sebastian discuss the pros and cons of Notebooks (as in Jupyter Notebooks) and Python Projects.

#datascience #deeplearning #engineering #pytorchLightning #python #pytorch #buildWithLightning #lightningAI

[tiberiugeorgescu]

Visual Studio Code pro tip: use #%% to create “Runnable Cells”.
You can now run blocks of code separately, like in a notebook.
But have the entire code run at once in production, like in a project.
Best of both worlds!

[cognitive-carpenter]

I think a great video if you don't have it already would be interfacing with REACT to reproduce Jupyter Notebook like embedments or stand alone webviews

[ajaypatro]

I want to learn and be professional in image processing and computer vision which would be better

[borisepshtein]

First of all, thank you for selecting people with understandable English speech.
Now, you are comparing apples and oranges. Even Notebooks of sufficient length should structure the code into what you call projects.
The proper comparison is between a Notebook and an IDE, like PyCharm or VSCode. And here Notebooks lose on all fronts, because both IDEs do already have the Notebook capabilities. Also, debugging in a Notebook is a nightmare.

[AlphaHealth]

all know how notebooks look like could have shown its done in python project rather than just talking talking