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In this picture, I want to continue the discussion that we started in the previous lecture where we

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talked about data types and types to looking at the same documents from the Python, three documentation

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as the one we were looking at in the previous lecture.

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And this time I want to focus on some example operators.

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So let's have a look at the numerical data types, integer, smooth and complex.

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And you can see that here there is a list of operations or compatible operators that can act between

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two data types to integers, for example, or an integer and a floating point number, so long as they

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are of the same category.

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These operators can work so we can add, subtract, multiply, divide the floor quadrant, remainer

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and so on.

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So all those operators are compatible between anti's, float's and complex numbers.

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But this more.

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Let's have a look at perhaps some text sequence operators.

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So obviously text.

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It's not a number, but you can see that there are operators such as capitalize or case fall to capitalize

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or return a string with the first character being capitalized as a count operator tells us how many

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characters exist in a string.

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And there's various parameters that allow you to configure this operator to work the way that you want

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it to work and and so on.

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There's plenty more of a look at one more and for example, sequence stereotypes.

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Let's have a look at the lists.

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And you can see there are operators such as Sort for Topal that are.

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Operators that allow you to extract, for example, a particular item out of a list or add an item into

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the list.

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And so on.

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So the thing to remember about operators is that some of them appear as a single symbol like this to

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give less than operator.

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Others appear as a function at the end in the way that all operate is implemented internally, implemented

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as a function.

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And another thing that is interesting to notice is that in Python, there is a module called Operator

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that provides alternative functions that do things such as test for equality or less than equality or

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that allow you to add or subtract.

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You can see here all of those functions that are part of the operator module allow you to operate between

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two numbers or two numerical stereotypes.

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I'm going to demonstrate some of those in a moment.

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So needless to say that Python has a huge variety of operators that act on data.

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Let's have a look at an example.

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I'm going to go back to the main documentation for the building teletypes and have a look at the numerics

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right here.

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So let's try out a couple of these.

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You've already seen, for example, how you can add two numbers together.

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Using the additional Parado can move things.

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Side by side.

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You can divide, he can get the remainder of the shine, which is one, we can get the actual value

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and so on.

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You can also act between strings.

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And you can have two strings stuck together, concatenated, let's have a look at another one.

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Speaking of strings, should we look at string methods and have a look at this capitalization method?

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So let's say that we have a string, such A, B, C, D, and then we apply the capitalized operator.

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Help us build it properly, and that will give you a Navy SEAL with a Capital A..

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So this is how these operatives can work.

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Do one more here count.

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So I'm going to go for a game A, B, C, D, this time count like that.

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All right, so I've made a mistake.

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Are you OK?

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So it helps to read the instructions so you can see that count takes at least one argument as per the

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documentation here and it to provide the sub.

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So let's see how many A's are contained in this string.

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So this is what I'm looking for.

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And this is telling me that there is one A but what if I'm looking for a B?

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So how many pages of a B one?

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What about a D this year?

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I said this is just an example operator and how you can use them.

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Just picking up in random here.

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But I do want to show you one more interesting feature.

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As I said, Python is very popular and it allows you to do the same thing in multiple ways.

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Sometimes it's a good reason behind it.

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Usually, for example, the reason can be efficiency or the need to create more self-explanatory code

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and so on.

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There's always a reason behind the need to do the same thing in multiple ways.

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So I mentioned earlier that there is a module called Operator.

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And what you can do with this is you can first imported.

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I'm just going to clean up before I do this.

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Just clear the show and then you can go ahead and import the operator module.

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Now you can use any of those functions to operate between the parameters between A and B. So instead

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of saying one last one, you could say operator, add one and one that will give you to see exactly

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the same things, just a different way of doing this.

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So here is the ad operator returns A and B for two numbers.

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This multiplication, so let's try that.

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Make it a bit more interesting, three times five.

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What happened here?

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Are you got an extra T that should be for multiplying like.

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Now, let's switch over to macro python on the of it, too, so I'm going to go into tools, options

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and change my interpreter to the especially to connected to the correct port.

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OK.

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And now I'm running Micro Python, so I'm going to try and play around with some operators.

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Of course, one plus one works

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to the plus operator works.

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Let's try the string operator.

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That works, OK, no problem.

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So all of the building operators will work, but what about the operator module?

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We're going to import operator and you can see that there's no such module named operator in Micro Python.

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Obviously, this is not a module that is built into micro python, unlike, say, Python.

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But we can go ahead and install it.

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And this is an opportunity to show you how to do something like that from here on.

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Piper and I did a search for operator, angiostatin operator in the search box in here and the micro

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python operator module came out.

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So what I can do next is I can copy the name of this module going to Sony to manage packages and then

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search for this particular package on pipeline.

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And here it is.

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And I can click on Insta.

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So the installation process will bring the necessary file across stored inside the folder on my desk,

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32.

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Now I can try to input operator again and now it worked without any complaints and I can use it just

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like I did in my example earlier this year.

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Addition to one and two gives us.

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OK, what have I done?

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OK, so there's no attribute and let's check it out.

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This is a nice thing here.

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We can drill inside a python file or any python file to see what is going on there.

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And you see that there is no such attribute at all or there's no function.

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And so this particular python operator, Morschel, does not have the add function that the C version

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of the same module does.

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So what is available for me to use is one of those first try out LTE, whether A is less than B.

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So again, operator.

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Dode guilty, let's say, to command center, and they should.

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Two is smaller than seven.

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OK, so I'm going to leave it at this in this lecture, I simply wanted to show you that there's a large

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number of operators that allow you to do operations between data types, as well as the ability to conduct

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operations using modules such as the operators module that we played around a bit earlier.

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All of the basic operators that are available in Python are also available there.

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And those are the ones that will be.