Hello and welcome to this lecture, where I'm going to show you how you can install my askyou El Anaconda
and by Shaam on your old machine.
We are implementing the source code using Google collab and will continue using Google collab.
However, in this part of the class, we're going to connect our buys them codes to a database and it
is easier to do locally than online.
These and the next two lectures are optional, so if you don't want to install the tools, you can just
follow the explanations just to understand the process.
This topic is very useful when you need to integrate the genetic algorithm with a commercial application.
So if you are a terms of a company, this topic can help you.
The first step is to access.
They might ask website, as you can see here, might ask you l dot c o m.
Let's click downloads to download the free version of the database.
You can follow this link here.
The community versions Let's click here, and you need to install two tools on your own machine.
The first one is the community server, and then you can install that workbench.
The first one is the database server, and the second one is a kind of D to ruin the cold months and
to create the database.
You can follow this first link, then you can select your operational system version.
For example, you can download for Mac OS and also for Oracle, Linux and Windows, so you can select
the version according to Air or machine and click the links.
I'm not going to show this process step by step because it's just a matter of following the instructions
on this screen.
After you can go to decide their link and install might ask you out.
Walk again, you can select the operational system according to air or machine.
Something very important is that when you install the server, you need to define the routes passwords,
so you need to remember this passwords in order to connect our Python application to the database.
After installing the server, you will see this icon here.
I'm showing you Mac OS, but you have something similar in Windows and also in Linux, for example,
Windows.
You need to open the control panel.
I will click here and you need to click this button to be able to create new databases.
After that, you can open my askyou workbench and you can see something similar to this screen here,
and I'm going to show more details on the next lecture.
Then you can access the Anaconda website, as you can see here, how we'll click products and Individual
Edition.
Then you can just downloads according to your operational system.
As you can see, there is a viable version for Windows, Mac and Linux.
When you click this link and installation file will be downloaded and you must run needs and follow
these structures.
I'm not going to show you this process step by step because it is basically follow the instructions
on this grim in case you don't know, Anaconda.
It is one of the most used tools for programming in Python, and especially for working with artificial
intelligence and data science.
That advantage is that several A.I. specific libraries are already stalled, and it is also possible
to create environments with different versions of five of them.
For example, when environments using Byte.
And on the other environment, using bite three in one environment does not influence the other.
The next step is to install by charm, as you can see here, which is an eye for working with Python.
And again, we can click the download button, choose the Community Edition, which is free, click
downloads and then an installation file will be downloaded.
As you can see here, according to the operational system you are using, then you must run this file
and follow the instructions.
Again, I'm not going to show you this process step by step because it's basically follow the instructions
on this scrim.
After the installation is complete, you can click by Sharp and you will see ice cream similar to this
one in the next lecture.
We are going to create a new project and implements our code step by step, integrating the genetic
algorithm with my skill in the next lecture.
We are going to create the database and also the table to start the products.
And after that, we will use by Shaam to integrate Python with my skill.
See you there!