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You did it, you've got another course
under your belt, way to stick with it.
0:00
I hope you had a fun
time picking up Pandas,
0:04
I really enjoyed putting this
course together for you.
0:06
I'd love to hear your feedback on how you
liked the Jupiter Notebook Base Course.
0:09
Learning how to learn from a notebook will
take you very far in your data career.
0:12
Check the teacher's notes in this
video for where to learn more.
0:16
Good job taking on those cash
box challenges, how did you do?
0:20
Did you enjoy those?
0:23
Keep us posted,
maybe we'll even make some more for you.
0:24
And of course,
0:27
if you haven't already, make sure that
you check out the GitHub repository, so
0:28
you can have your own copy of this course
to explore and take additional notes on.
0:32
I recommend reading through all
the notebooks at least one more time.
0:35
You'll really see how far you've come.
0:39
Also, don't forget to check out
the forum posts for this course.
0:41
This was a really quick
introduction to Pandas, but
0:45
I hope that you feel ready to dive in.
0:47
We didn't get much of a chance to get
into the time series manipulations.
0:49
Keep your eyes out for a course on that,
0:53
because time series manipulation is
another great thing that Pandas provides.
0:55
And it will save you a ton of time.
0:59
Speaking of which,
what would you like to see more?
1:02
Keep us posted.
1:05
Your opinion is super important to us and
really helps to shape what we build for
1:06
you here.
1:10
I really enjoyed hanging out and
I hope to see you real soon.
1:11
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