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