All right, so let's start.

I don't want to waste too much time.

I was told I have way less time than I thought.

So I will try to skip a few things.

So today we are talking about Python.

I named it the Missing Python Introduction for Scientists.

I will do a quick intro of myself.

So my name is Tomas Gález.

Georg already introduced me.

I was born in Hungary in 1985, and I'm

an astroparticle physicist at the Jellengen Center

for Astroparticle Physics.

And I'm working on the KN3Net neutrino experiment.

I'm also a CIS admin, and I'm doing a lot of DevOps

at ECAP, including the IT for ECAP and KN3Net

and other experiments.

And my programming background is I started around 1993 or so

with Amiga Basic and tons of Go2s,

broke my first toilet manager.

It was a lot of fun.

Nowadays, I do mostly Julia, Python, and Rust JavaScript,

C and C++ for work, Haskell for fun.

Also learned a lot of other languages,

and I'm working with Python since 1998.

At the beginning, I needed to replace

my PAL and CHEL stuff for system administration,

later also for science.

I'm a Vim user, if you're curious.

But I switched to Emacs in 2020 in the Evo mode

because it's the better software.

And I like, so this is my desk in 2003.

I like riding adventure motorcycles

and building DIY synthesizers.

So if you want to talk about that, I'm free.

OK, a tiny disclaimer.

Let me move this one somewhere else.

So this talk contains a lot of oversimplifications

and blatant omissions due to time constraints.

So we keep this in mind.

OK, let's talk about Python.

So what is Python?

Python is a programming language, obviously.

It's an interpreted high level general purpose programming

language.

And it's object oriented, procedural, imperative,

functional, structured, reflective.

So it has a lot of idioms integrated into the language

itself.

It's dynamically typed and garbage collected.

And it has this better included philosophy.