2.11 Summary and Review - IP
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Video Transcription
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>> Hello everyone and welcome to the summary and
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review for Intro to Python, module 2.
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If you're watching this video,
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you have completed this course.
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Finally, you're done with all of the videos.
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You can re-watch them, of course,
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as much as you need to get the material.
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We have a bunch of supplemental material over to the side
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as well as our labs and our
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assessments that we've talked about.
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But you are done with the videos.
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You have completed all of our material.
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This video is just a summary interview,
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just like we did at the end of module 1.
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Really quick, we're going to address
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all the things that we spent the last couple
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of hours discussing.
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First, we have Python flow control
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where we talked about if, elif and else,
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we talked about for and else,
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and the special relationship
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that else has to for in Python.
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We talked about while loops,
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we talk about logical escapes.
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Remember those are things like break,
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continue, and pass,
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we've talked about functions in Python of
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other arguments about their outputs.
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We really learned how to dig into those and
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understand what Python functions are for.
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Then we did a bunch of
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exercises which hopefully you either did in
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our next tech lab or you did it
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with the assignment document that was given out.
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Then what you came back,
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we talked about the Python datatype.
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We talked about strings,
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we talked about string formatting,
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string slicing, string indexing.
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We talked about string methods.
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We learned what methods are.
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Then we talked about numbers and all
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the different types of numbers.
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We talked about integers and floats,
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and how you can use them,
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and how you can assign them.
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We talked about math in Python.
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Then we talked about lists,
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and we learned that lists and
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strings have a whole lot in common.
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We learned a couple of gotchas to do with lists.
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We got to do some exercises with them and then
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we really learned how to slice and index lists,
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just like we did with strings.
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Finally, in our last video,
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we talked about dictionaries.
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We saw a couple of key methods.
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We saw what dictionaries are,
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what they do, what they're for, how you can use them.
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In the lab which is coming up right
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after this video or you may have done already,
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you're going to get to spend a bunch of time
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with dictionaries, lists, numbers,
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strings, and really just
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dig into and make use of that code.
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Now, if you've made it this far,
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I just want to congratulate you.
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Learning a new language is
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an incredibly challenging endeavor,
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even when it's a language like
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Python that is designed to
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be easy to learn and understand,
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even when you're doing it in 6-9 minute chunks
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on a website like this.
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If you've made it this far and
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you've hung on whether you did it
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easily or you did it by
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the very edges of your fingernails,
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you deserve to have a moment of pride,
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and I really want you to know that
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I'm just thrilled you made it this far with us,
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and you've gotten to do these exercises
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and experienced Python,
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and understand all of the uses that has.
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At this point, I'm going to invite you to come
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back for our intermediate
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and our advanced Python courses.
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But I'm going to say, if this video,
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if this lesson of this course was difficult for you,
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take some time off,
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really focused on applying Python,
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find some challenges online.
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I'll include some links for some
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great Python Challenge websites.
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There's a spectacular learn programming subreddit
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where you can do programming challenges by the day.
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Just all sorts of really cool tools that
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you can learn to advance your knowledge of Python.
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I really want you to take some time and do that.
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Do our labs, work on using it practically.
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Then once you're comfortable with
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it and you think you really
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understand everything we talked about in
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this video and in this course,
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then come back and check out
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our intermediate and advanced
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Python courses where you're going to
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get to learn just so much about
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not only the things we've already talked
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about in a deeper sense,
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but you're also going to get to learn
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to apply new modules.
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You're going to learn to do just all sorts of
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new and fascinating things in Python.
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Again, thank you so very much for watching.
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I have been your instructor, Joe Perry,
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and I'm just thrilled that you are here.
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If you can't hear it in my voice,
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I'm really excited and really happy that I
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get to do this every day
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and I get to work with students like you.
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Congratulations.
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You have now completed Intro to Python
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on Cybrary on demand.
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