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Introduction to pandas

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Until Next Time

1:15 with Craig Dennis

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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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