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So let's get started with our crash course attached to this lecture, you find a file that was named

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Crash Course Dot IPY, N.B..

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Download this file and save it on your hard disk drive and then open it in Jupyter Notebook.

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Of course, you don't have to do this.

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You can also start with a completely new file and ride along with me.

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So I think the first few lectures are really, really easy.

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So this is why I have prepared them for you, and we will just run the notes, book together to see

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what happens.

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So the first thing that we are going to do is we are going to import a module called Nampai.

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And for this, we write import Nampai.

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And this would already be sufficient.

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But in most of the notebooks that you use NumPy, they write something like import nampai, s and P.

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So this means whenever in the following, we would have to write Nampai, we just have to write and

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Pete.

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So Nampai is a module that contains many useful mathematical commands.

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For example, the constant PI or the Oilers constant or also the square root command and these commands,

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they are not initially built in to Python.

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So we first need to load them using this module.

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This is why in basically every scientific code, one of the first lines will be important Um, P, S

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and P.

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So we write this and run it using shift enter.

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And now we are going to start with some basic mathematics.

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By the way, if you wonder how I wrote this line here, I will double click.

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And you see, I just wrote with down hashtag hashtag for a subheading.

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And then my basic mathematics and I have turned to sell cell type into markdown and then press shift

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enter.

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So you will get this bold text.

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So let's continue with the very basic mathematical operations.

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I mean, I think this will be totally clear to you that a plus means addition.

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So you can use Python just like a calculator for addition, subtraction, multiplication and division.

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And you you see already that when you divide two integer numbers, it can also give you a float number

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as a result, which is not the case in every programming language.

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So for some languages, this would give us just two, because the result in this case should be an integer

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number in these languages.

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But Python is really clever about the data types and adapts on the fly, so you don't have to bother

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with these problems.

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If, however, you want to really execute an into an integer division or integral division, then you

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can write two of these dashes.

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And this will give us 10 the integer solution, which is two if you only care about the remainder or

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also called modulus.

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Then you write the percentage sign and you write five percentage two, which gives us the remainder

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of this division, which is, of course, one.

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Another important operator is, of course, the exponent.

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So if you write two of these stars, then this means three to the power of two.

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Or also this means three squared.

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So the square of three is, of course, nine and vice versa.

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You can also calculate the square root of nine by writing nine to the power of one half or 0.5.

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So here this is maybe a bit of a detail, but so Python itself does not have a square root command.

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It does not exist in the Python language, and it has to be imported with the Nampai module.

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So, for example, if we would just write something like square root of nine, which would work in most

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languages, this would give us an error because square root is not defined.

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And to use the conventional square root, we would either have to use this one here or we use Nampai

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Dot Square Root, because then it loads the square root command from the non-paid module that we have

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imported right at the top here.

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So now we can run this, and of course, it gives us three point zero as well.

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So as I mentioned, Non also contains several useful constants like Pi or E, and you can easily access

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those by writing and pitot and then the constant that you need.

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The last thing that I want to show you before we continue with the next topic will be that, of course,

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you are able to define variables.

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For example, you can just write a is some number like three and then you just write four times a minus

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five, which will give us.

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Twelve minus five is seven.

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So you see, all of this basic stuff can be done, of course, with Python.

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But you have to be careful sometimes because some of the functions that you might think are implemented

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in Python are actually not implemented.

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And for those, you will need to load a module like Nampai.

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So this would be square roots and also these constants.