Python for Decision Makers and Business Leaders Transcripts
Chapter: Course conclusion
Lecture: What we covered
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0:00
Now before we get out of here let's spend just a few minutes doing a quick review 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 with Python and who used it and how. Python means 4 things.
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The language, the base class, their standard library the external ecosystem, like PyPI, and the community. Web development with Python is a joy.
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There's so many choices that can make it a little hard to choose, but once you figure out your bearings it's actually really great.
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Data science and Python are amazing. Python is one of, if not the leading language and technology in data science and scientific computing.
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You saw some good examples of that. Testing with Python, we have PyTest. It's great, it tests our code but we can also test other things.
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We did a little bit versus, Python versus .NET and Java Python versus Matlab, and Python versus as well as with, C and C++.
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We looked at Indeed and Stack Overflow Careers to figure out what the job market around Python looks like and finally we closed out the course
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with win not to Python, or maybe Python might not be the best option or a certain-use case. 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 for a quick review before we call it a wrap.