Hi, everyone.
We're coming to the introduction to this course.
Massive Python programming essentials, the easy and fast league using daily life exemplars.
I'm your course instructor, Professor.
Dr. Scholl.
Kuwait.
First.
Let's see why we should have learned piano.
I think he's one of the most popular and the easiest programming languages.
It is the ideal language for scientific computing, data analyses and machine learning.
They are a of play, build, build libraries or third party libraries or almost every aspects of computer
projects such as app development, web development, data analyser, neutralization modelling, AI Otis,
platform development, machine learning, computer reading and much more.
Just know we said Python is one of the easiest programming languages.
Now there's some really interesting cartoon images you can find online.
I don't know.
Mary was the source.
Yeah, but you can find a lot of cartoons.
Yeah, this is some of them.
You'll see learning panglao is just like.
Bird wants to drink water to see if these birds want to drain the water in a container, but it can't
reach the water.
So for the unknown programmer, the safe, the brass works very hard to put a lot of small stone or
pedal.
So they either can't reach the water to break.
For the programmer.
You see, Hughes is also working hard to drink the water.
This is the program by the body paint and programmer.
You see, this is so easy.
Relax.
The water will be just the flow into the first moss.
You see is very interesting, but it's a very good description about how easy that a profile.
Programmers to use this language.
Okay.
Very easy to learn and a very easy to use.
But you can benefit a lot.
Okay.
There are many reasons to learning about it here.
I stress these questions along the femurs.
A ranking.
Of the programming language.
Based on the i OBE index.
Hang on has already passed Java in the Sea and become the most popular programming language of today.
Since October 2021.
See?
This is Panesar.
This is C.
The second.
Third, it's Java.
Both A C plus plus.
And so I.
This is the history of Python and other languages.
There's a long 2000 year here.
But here the pathways to blue light.
A.
It is October 2021.
Already past other languages.
Okay.
Yeah.
If you are interested, you can click this link to the Nairobi index and a study more.
Also, according to the tall and light data science machine learning software tools of 2017 to 2019,
the CD Nargis Support Panel at least the top data science platforms.
See these bigger.
And another, well, famous index or the ranking is the.
The IEEE spectrum that you can put down.
Webb took a look.
Python was released as the total programming language, the number one would see the number one.
In 2021.
And besides, of course, people.
Has very high demand and in the work.
In different fields.
Yeah.
If you own these skills, this means you will have a lot of a chance to get him ready for the job with
a high P, especially for some emerging.
But it was the technology.
It is the way we have talked about machine learning.
Beginning to analyze is.
Computer weekly.
And so I suppose no less just the class of war.
Very briefly about the contents of these course.
They are, uh, pain sections.
Section one.
The Introduction Note We argue the introduction.
Part.
Section two is about setting up anything you weren't allowed to install at all.
And the tools the.
I.
D.
Speaker three is variable and a basic data types section for talk about complex data types.
In the legacy fire.
We were learning the basic operators.
Section six talks about screening for meeting members.
Section seven.
Is about paying for low estimates.
In this Section eight, we were learning the brain functions.
In the section on aid shows how to define functions create our only functions.
In the U.S. team, we were learning how to create Python classes.
Okay.
This is a very brief introduction.
Thank you.
See you in the next lecture.
Uh, how to set up an so, uh, environment.
Okay.
See you then.
Thank you.