Post
Data Science & Analytics
1mo
julmivictor
·
currently not working
Data scientist Vs code / notebook
As a fresher I don't have any idea how much code data scientists write. Does data scientist use vs code to solve projects modular coding or code in jupyter notebook?
Thank You for your time 🙏
a team lead
1mo
What kind of project are you working on—small analysis or production-level models?
julmivictor
author
1mo
currently not working
@a team lead both.
awesomesnail
1mo
works at
It really depends on the project. For quick prototypes and smaller tasks, Jupyter notebooks are great because they allow for an interactive and hands-on approach. However, when it comes to scaling the project or working on production-level code,... see more
stylishjasmine
1mo
works at
@awesomesnail Yeah
View 1 more reply
cleantonic
1mo (edited)
works at
Yaar, I like Jupyter notebooks because they allow for easy collaboration. You can add comments, explain your thought process, and share the results directly in the notebook. It’s especially useful when working in teams where other members can fo... see more
handsomestarfish
1mo
ex -
Earlier I used Jupyter notebook for EDA and then Spyder for code development. However I shifted to VS code since it can easily sync with code repos plus it has a lot of plug ins. Now I create an environment and install jupyter notebook in it. An... see more
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