Move from Excel to Python with Pandas Transcripts
Chapter: Intro to Pandas
Lecture: Advanced autocomplete and help

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0:00 I want to go through a couple of the help options.
0:03 So the first one is there is a help menu item,
0:05 and I think the user interface tour is actually really useful.
0:10 So you click on that and you can use arrow keys and it goes through and
0:15 highlights all the different sections and what they do and give you some nice tips.
0:21 So I would recommend that you check that out because I certainly haven't gone through everything
0:25 The other thing I want to talk about are the different help options so that
0:30 you know what functions or methods are available to you.
0:35 So one of them, if you type DF in type period and then tab,
0:39 it's going to give you a list and auto complete all the options that are available
0:43 to you, and if you start to type part of it,
0:46 then it will complete that for you.
0:49 So that's pretty helpful. The other one is,
0:52 if you put a question mark here,
0:54 it's actually going to pop up.
0:57 Ah, lot of detail. It's actually the doc strings and tells you how to
1:02 use the data frame, what the different options are,
1:06 so that is really helpful and it's actually similar going back to the help.
1:12 You'll see that there is an option for the pandas reference,
1:14 and that takes you to the pandas.
1:17 Documentation. So this is something.
1:19 Obviously I'd recommend that you take a look at once.
1:22 You are done with this course and want to understand a little bit more about how to
1:26 use pandas. The other help option I want to talk about is if you forget
1:30 how to call function. So let's say we were trying to read Excel,
1:35 and we forgot what what parameters are.
1:40 If I press shift + tab, it gives me the signature.
1:43 If I press shift + tab twice I get more of the details enough,
1:48 do it three times. It gives me the full details of all of the options
1:54 that you can pass to a function.
1:57 So this is really, really helpful for you as you're starting to learn how to
2:01 use pandas and understand how the different functions work,
2:05 so I encourage you to play around those help options and incorporate those in your day today work with pandas and Jupiter Notebooks.