Okay, good morning everybody.

Can you hear me reasonably well on Teams?

Something like a thumbs up would be good.

Thank you very much.

Great thanks. Okay, so last week's lectures weren't recorded

because of technical difficulties which were entirely

the university's fault.

I have uploaded last year's recording for you for both.

So the number represented floating point is I think twice

now, but you get it from two and the

Python lectures dedicated.

So memory was really only to give you now the final bits and

pieces so that you understand how a computer works, right?

Not only use it, but also have some intuition about what in

terms of a computer's do.

And now we are diving completely into programming, Python and

so on. And you'll probably see some areas where it's quite

handy to know how stuff is stored in your computer, how

things are processed sometimes.

And you already made some context with that last week when

you talked about very, very basic things like if-else

statements, why loops, iterative things, which is something

probably all of you have already seen somewhere in some other

context really with programming is like if you have understood

the basic concepts, at least for imperative programming

languages, it's not so difficult to switch to another language

and you'll anyway always have the manual next to you, basically

the Internet, Stack Overflow and so on.

So some of you might have already started to play a little

bit around with Python.

I mean, in principle, you know what options you have.

You can either just install a condor or whatever Python and

then run Python directly as your interpreter, which gives you

this.

So you have now a live interpreter environment.

You can put in statements like whatever evaluate then it does

it. And if you want to get out of that, just exit.

The more common way is to have some text file script somewhere

that does things for you with statements and then you would

do Python script and Python whatever.py and the thing would

run your code.

Now more modern kind of alternative to play around with

things is notebooks.

Notebooks are very convenient.

They're not a real kind of program environment.

You wouldn't program applications for your computer in that.

You would rather do things like data analysis and probably like

in this course play around a little bit with Python.

This is Colab free for everybody.

There are many environments.