Python for Decision Makers and Business Leaders Transcripts
Chapter: Course conclusion
Lecture: What types of things can you build

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0:00 Let's remind ourselves what you can build with Python. We saw many different examples of many different types of applications.
0:07 We built a website with Flask and that was incredibly easy and also turns out to be very high performance and quite popular. You can also build APIs
0:16 and you can build those APIs with Flask or FastAPI or other types of frameworks. Lots of options, many of them good.
0:23 Data Science, we did our domain authority thing from Python Bytes, the podcast data and we were able to do that using the Data Science tools
0:32 Jupyter Notebook, NumPy, MATLAB, so on, super easy and very, very common. AI, well, we didn't build any AI or machine learning in this course
0:41 but you go look at all the libraries all the important ones, they all have Python support. Robotics, there's specific APIs
0:49 and even in whole operating systems built around programming robots and very strongly enabled with Python. And it works really well with Python.
0:58 DevOps, we haven't done any DevOps but Python's important there. And again, if you're doing stuff in Excel Python has some great answers for you.
1:06 Maybe that's using the Data Science libraries like Pandas and Jupyter to replace Excel or maybe it's just using one of the libraries
1:13 that lets you automate Excel from Python.

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