Some people will tell you to start with C or C++ to get a better intuition for what's actually happening under the hood in Python, but that's not really necessary for most use cases unless you're doing something niche. Some of the most popular use cases for Python are webapps, data analysis, or general automation. For the 1% of use cases that Python isn't the right fit for, you can still use it to prototype or glue things together.
There are a lot of great resources out there for learning Python, but they won't necessarily teach you how to make great software. You can't go wrong with the official tutorial. https://learn.scientific-python.org/development/ is pretty terse and incorporates a lot of best practices.