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Welcome back.

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We learned about our basic Python data types.

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We also learned a little bit about some of the terms that we might use when talking about code.

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We learned a few best practices but most importantly we learned how to perform actions on these data

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types.

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We saw that there's built in functions that we can run on any data type such as the print function but

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we also learned that most of these data types have their own methods.

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That is that dot some sort of a name and then the brackets to perform some actions on them.

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Now we're still scratching the surface here but we now go into an area that gets really really exciting

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because up until now what we've been doing is this Every time we write code we do something here and

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then we go to the second line and do something else.

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And then finally go to the third line and do something else and so on and so forth our Python interpreter

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just went line by line 1 all the way to whatever line number we have on our DOT pi file and just ran

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the code and it ran it really fast because machines are good at that they run code really fast but we

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haven't discovered the true power of programming and specifically programming for machines.

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You see the power comes when we start to incorporate the idea of maybe running multiple lines over and

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over or maybe skipping a line and going from line want to line three and in this section we're going

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to talk about the idea of conditions and conditional logic we're going to talk about looping and loops

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where we can perform actions hundreds thousands millions of time over and over something that machines

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are really really good at.

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And that's when programming becomes really powerful because machines can do certain tasks a lot better

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and a lot faster than humans.

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So we're now going to break into a new world where instead of going from one to three everything in

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order.

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We're going to start to break some of that apart so that we have more control over our programs than

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just going line by line.

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Let's find out how to do that in the next video.