Python for decision makers and business leaders Transcripts
Chapter: Course conclusion
Lecture: What we covered
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Now before we get out of here
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let's spend just a few minutes doing a quick review
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a high flyover of all the things we covered in this course.
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Member we started by talking about what you can build
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with Python and who used it and how.
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Python means 4 things.
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The language, the base class, their standard library
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the external ecosystem, like PyPI, and the community.
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Web development with Python is a joy.
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There's so many choices that can make it a little hard
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to choose, but once you figure out your bearings
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it's actually really great.
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Data science and Python are amazing.
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Python is one of, if not the leading language
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and technology in data science and scientific computing.
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You saw some good examples of that.
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Testing with Python, we have PyTest.
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It's great, it tests our code
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but we can also test other things.
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We did a little bit versus, Python versus .NET and Java
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Python versus Matlab, and Python versus
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as well as with, C and C++.
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We looked at Indeed and Stack Overflow Careers
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to figure out what the job market around Python looks like
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and finally we closed out the course
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with win not to Python, or maybe
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Python might not be the best option or a certain-use case.
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There it is. This is what we covered.
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Now we're going to dig in to each one of these one more time
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for a quick review before we call it a wrap.
