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You did it, you've got another course
under your belt, way to stick with it.

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I hope you had a fun
time picking up Pandas,

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I really enjoyed putting this
course together for you.

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I'd love to hear your feedback on how you
liked the Jupiter Notebook Base Course.

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Learning how to learn from a notebook will
take you very far in your data career.

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Check the teacher's notes in this
video for where to learn more.

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Good job taking on those cash
box challenges, how did you do?

8
00:00:23,059 --> 00:00:24,067
Did you enjoy those?

9
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Keep us posted,
maybe we'll even make some more for you.

10
00:00:27,402 --> 00:00:28,146
And of course,

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if you haven't already, make sure that
you check out the GitHub repository, so

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you can have your own copy of this course
to explore and take additional notes on.

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I recommend reading through all
the notebooks at least one more time.

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You'll really see how far you've come.

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Also, don't forget to check out
the forum posts for this course.

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This was a really quick
introduction to Pandas, but

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I hope that you feel ready to dive in.

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We didn't get much of a chance to get
into the time series manipulations.

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Keep your eyes out for a course on that,

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because time series manipulation is
another great thing that Pandas provides.

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And it will save you a ton of time.

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Speaking of which,
what would you like to see more?

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Keep us posted.

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Your opinion is super important to us and
really helps to shape what we build for

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you here.

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I really enjoyed hanging out and
I hope to see you real soon.