tl;dr
Maybe there is a redy-to-use Platform, written in Python. But I don't know them.
I have seen only this ERP Tool Odoo.
This is written in Python.
Pandas is not everything. You have a whole stack of other libraries like numpy, scipy, matplotlib, jupyter (notebooks), seaborn, plotly, machine learning stuff like tensorflow or scipy, scikit-learn...
For sql, you can use the orm sqlalchemy.
For web: flask, Django, fastapi
Typechecking: Pydantic, mypy
And 1000 other interesting new stuff to learn.
I'm not working in this area. Previously I was working with radar system (data acquisition, signal processing).
The tasks you need, are different. Power BI looks for me like as complete solution for business reports and analytic.
If you switch over to python, you have first to learn Python.
Then you need to look which libraries you need. It depends on your requirements.
I think some of them I named, are useful.
Reading documentation and testing consumes much time.
Then you build your platform, then the stuff which was previously in Power BI.
This projects needs time and costs money and all coworkers must be willing to learn new stuff.
After the change, you're more independent.
This can run inside your company without an internet connection.
After the change your karma reaches the next level.
But if you don't want the stress, you should tell it your boss.
It's not a quick change.
The problem is often, that non technical people see things on the internet or in presentations and guess it is very easy.
Yes, often in presentations they use minimal code, that fit on the screen. But in real life the code can get very complex and dirty.
This does not fit on the screen.
Maybe there is a redy-to-use Platform, written in Python. But I don't know them.
I have seen only this ERP Tool Odoo.
This is written in Python.
Pandas is not everything. You have a whole stack of other libraries like numpy, scipy, matplotlib, jupyter (notebooks), seaborn, plotly, machine learning stuff like tensorflow or scipy, scikit-learn...
For sql, you can use the orm sqlalchemy.
For web: flask, Django, fastapi
Typechecking: Pydantic, mypy
And 1000 other interesting new stuff to learn.
I'm not working in this area. Previously I was working with radar system (data acquisition, signal processing).
The tasks you need, are different. Power BI looks for me like as complete solution for business reports and analytic.
If you switch over to python, you have first to learn Python.
Then you need to look which libraries you need. It depends on your requirements.
I think some of them I named, are useful.
Reading documentation and testing consumes much time.
Then you build your platform, then the stuff which was previously in Power BI.
This projects needs time and costs money and all coworkers must be willing to learn new stuff.
After the change, you're more independent.
This can run inside your company without an internet connection.
After the change your karma reaches the next level.
But if you don't want the stress, you should tell it your boss.
It's not a quick change.
The problem is often, that non technical people see things on the internet or in presentations and guess it is very easy.
Yes, often in presentations they use minimal code, that fit on the screen. But in real life the code can get very complex and dirty.
This does not fit on the screen.
Almost dead, but too lazy to die: https://sourceserver.info
All humans together. We don't need politicians!
All humans together. We don't need politicians!