Python for Decision Makers and Business Leaders Transcripts
Chapter: Course conclusion
Lecture: What we covered
Login or
purchase this course
to watch this video and the rest of the course contents.
0:00
Now before we get out of here
0:01
let's spend just a few minutes doing a quick review
0:04
a high flyover of all the things we covered in this course.
0:08
Member we started by talking about what you can build
0:10
with Python and who used it and how.
0:14
Python means 4 things.
0:16
The language, the base class, their standard library
0:18
the external ecosystem, like PyPI, and the community.
0:22
Web development with Python is a joy.
0:24
There's so many choices that can make it a little hard
0:27
to choose, but once you figure out your bearings
0:29
it's actually really great.
0:31
Data science and Python are amazing.
0:33
Python is one of, if not the leading language
0:36
and technology in data science and scientific computing.
0:40
You saw some good examples of that.
0:42
Testing with Python, we have PyTest.
0:44
It's great, it tests our code
0:46
but we can also test other things.
0:47
We did a little bit versus, Python versus .NET and Java
0:51
Python versus Matlab, and Python versus
0:54
as well as with, C and C++.
0:57
We looked at Indeed and Stack Overflow Careers
0:59
to figure out what the job market around Python looks like
1:03
and finally we closed out the course
1:05
with win not to Python, or maybe
1:07
Python might not be the best option or a certain-use case.
1:11
There it is. This is what we covered.
1:14
Now we're going to dig in to each one of these one more time
1:16
for a quick review before we call it a wrap.