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Hi, welcome to a new lecture on how to

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deploy your flask web app on a live

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server, which means that you're going to

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have your own domain name, which you can

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give to anyone, and they can use your

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web app, and we're going to use PythonAnywhere.

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So go to pythonanywhere.com.

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PythonAnywhere has a free

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service, where you can host your flask

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applications. So this is what we're

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going to do, and it's relatively easy to

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deploy on PythonAnywhere, so this

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is an updated video, actually, of the course.

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Before of this, we used Heroku. Now,

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Heroku and PythonAnywhere both allow

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you to host, to deploy flask applications

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for free. The difference is that PythonAnywhere

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tends to be more user friendly.

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And Heroku, on the other hand, makes it

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harder, and so I usually suggest that as

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a programmer, you want to focus on your

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codes, instead of dealing with server

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administration issues. Although I would

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also like to say that both Heroku and

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PythonAnywhere are relatively easy

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compared to if you had your own server

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where you have to handle

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everything. So still Heroku and PythonAnywhere

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makes things easier. To be able

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to deploy your flask web app on PythonAnywhere,

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you need to sign up for an

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account, so go to Pricing & sign up,

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and you want to find the section where

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you can create a beginner account

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because that is free, and they also have

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other plans paid, so if you have more

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visitors, then you'd have to upgrade to

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a paid account. So I'm going to create a

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new account. All right, so I signed

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up, and my username is

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ardit12345. That's my username, and this is

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the dashboard. Now on PythonAnywhere,

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besides deploying web apps, you can also

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do some other things. So before we

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deploy the web app, let me give you a

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short tour on PythonAnywhere.

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Basically, you should be able to see the

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dashboard menu here, and then we have

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Consoles. In Consoles, if you go to

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Consoles, basically you can create a

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Bash console,

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[No audio]

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and that gives you access

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to your own server where you'll deploy

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your web app, and you could also do

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other things such as you can start

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python3, and it starts that version

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of Python. So it's an interactive python shell.

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[No audio]

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You can even import some

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libraries here. So pandas is already

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installed, you can use it. The downsides

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of this is that you don't have a

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Graphical User Interface. So if you want

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to show to generate some graphs, and you

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want to see them that's not possible on

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PythonAnywhere, because all you have is

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this shell. So the python shell and you

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go back to the terminal, and for example

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with pwd, you can see where you are

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currently. So that's your location in

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the server. So you are inside home, and

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then inside ardit12345, so that

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folder of the home folder. Here you can

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also create Python files, for example,

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nano example.py. So nano is a text

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editor, which you can use in this kind

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of command line interfaces. So that will

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create a new file, and here you can

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write Python code such as print

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Hello,

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parenthesis. Now, to save this

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file, what you want to do is you want to

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follow these commands. So exit, you want

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to exit with Ctrl X. So press Ctrl X,

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you'll see this message. It says Save

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modified buffer, which means do you want

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to save this file? Y for Yes or N for

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No. So I'm going to press Y and then it

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asks you again what name do you want to

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put to your file example.py as it is

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Yes. So just press Enter now, Enter and

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the file is saved. To run it, you do

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python3.9 example.py run and you

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get the output. So that's what you can

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do with the Console if you go back then

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you have this files, and here now you

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can see that example.py which we

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created previously is here, and you see

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the current directory, so home/ardit12345.

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That's the directory, we were in

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the command line interface. So this is

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another way to create files. So if you

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want to create a file here, you give a

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name in here, let's say example2.py

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and go to New File,

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[No audio]

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and let's say here I am print Hello Again, and

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now you can also run this file, save it

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and run it from here. So Save it first,

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and go to the Run button, and you should

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see the output down here.

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[No audio]

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This is a bit slower than the previous

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way to run application, to run Python

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files. But anyway, this is the output.

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So that's another way to run Python

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files. You want to go back now, you can press in here.

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[No audio]

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So this is a Files page

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and then we have Web. Here is where

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we will create a new web app, but in the

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next lecture, and then we have Tasks.

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With Tasks, what you could do is you

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could enter here, the path of one of

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your PythonAnywhere Python files. For

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example, if you, if I wanted to give the

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path of example.py, I would say

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home.ardit12345, the

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directory, and example.py, and then I

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would define a time, I would set a time here

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in UTC system, time system, and this

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script then would be executed at that

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time every day. This could be useful for

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things like web scraping, if you want to

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scrape something at a certain time every

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day. So you can do that on PythonAnywhere

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as well, and lastly, we have a

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Databases menu. Here is where you can

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create a database. So if your web app

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has a database where it saves the data,

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you want to create a new database here,

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and then create a table for that

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database. Again, it's, you can do that in

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this interface here in databases, and

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then your web app will be able to

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interact with this database. So this was

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an introduction to PythonAnywhere. In

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the next video, we're going to deploy

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our Python app, so our Flask app on

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PythonAnywhere, see you.