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