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Hey, Today I'll introduce you to a pretty cool service in relation to Python.

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And that is Python.

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Anywhere.

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Python Anywhere is a service which offers you a server, a computer which runs 24 seven, and you can

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use this computer to host web apps, but also to schedule tasks, to schedule Python scripts for execution

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at the particular time every day.

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So, for example, you can schedule a script which sends out an email at a certain time to a particular

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email address, and you can also have a script perhaps, which scrapes a value from a website, some

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data from websites.

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You can also schedule this script to be executed at a particular time every day, and you can have the

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script, store the data in text files inside the server, and later you can retrieve this data.

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So Python anywhere allows you to do that and I'll show you how to do it.

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So go to Python anywhere dot com and you need to sign up for an account.

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You have several options there.

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Both a beginner account which is free should do the job very well.

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So you should create a beginner account and once you do that you should go to the login menu and to

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login with your new account there.

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Then you want to go to the dashboard.

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That's where you have all the tools that you can use in Python anywhere.

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So now I'll take you through how to use Python anywhere and its features.

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So first of all, you might want to go to council's the council's menu and here you can see what is

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the latest version of Python that is supported by Python anywhere.

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In my case it is 3.10.

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Now, if you had created your account on Python anywhere earlier on a few months ago, perhaps a year

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ago, then the latest version might be 3.8 or something else.

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But if you create a new account, it could be 3.10 or 3.11, depending when you created that account.

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So that is something to keep in mind because we will use that version when we schedule tasks.

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So just remember the newest version for now and then go to files now in files.

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You will see some default files, but also files you have uploaded.

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So in your case, you haven't uploaded anything yet, but I have uploaded some files before for other

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projects, so you should see them here.

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So these are the files that are in your computer.

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So you basically have a computer here and this computer has python installed.

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And in this computer you can upload files.

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So this computer doesn't really have a graphical user interface and a graphical operating system as

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you do on Windows or Mac or Linux or both.

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You have this browser to do like basic tasks on these computers, such as uploading files, and you

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can open these files as well.

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To see what they contain.

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So in our case, since we want to schedule.

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Our main thoughts.

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People file for execution, so we want to execute the script at 8 a.m. in the morning.

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For example, when we want to upload the script to these files.

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Now I have uploaded it before, so I'll just delete it.

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And I'll play it again so that I show you how to do it.

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So just click on the upload file.

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Go to Main dot P.

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So you need to upload all the scripts of your project and that includes main dot pie, but also send

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email dot pie.

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So main that I was uploaded, then upload, sent, email, dot pie and that file should be listed here

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as well.

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So these files are uploaded in this directory, so please copy that directory.

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And then go to tusks.

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Now in tasks, I have a task which is already running, so I'll cancel it.

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So you should see something like this.

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Now, in here, you should paste that path and then make sure you have a slash here.

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Then write main dot P.

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So main dot p y is a script which contains my codes.

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So this is the entry point of the program.

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When I execute this program, I execute main dot P right in charm.

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So make sure that you point to that file in here.

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But you should also write before this path.

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You should write what?

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Interpreter What?

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Python interpreter Do you want to execute this file?

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So in my case, that would be Python 3.10 and space.

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So Python 3.10 space and then the path.

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In your case, it should be the latest version of Python that is supported by Python anywhere.

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That's why I showed you the concepts first.

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So you know what versions you have there.

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So what's happening here is that we're telling Python anywhere to run this command.

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So to run that script with that programming language at this particular time.

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So if you want to run this, let's say 2 minutes from now just to test it, then you might want to place

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your 17.

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In my case, the current server time is 1740.

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So I want to place it like 2 minutes after that.

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So the time is 42.

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Now.

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This should be around 1742 for now because it's not being refreshed.

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So I should place it something like 1744.

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Yeah.

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So it's about 2 minutes from now when present create.

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So this script will be executed at that time and it will be executed daily.

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So I should wait a few minutes and see if I receive an email to my email address.

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So it seems like I received a new email so that it is.

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If you didn't receive an email, you should go to the logs which you can access in here.

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So that should tell you what happened.

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Now, in my case, they say that the task was completed this time.

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So that was the time I schedule the task for execution.

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And in your case, perhaps you have some errors which could be displayed in here.

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Or sometimes you might have a message somewhere here which says that the python command was not found.

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So in that case, you should go back and check if your command is correctly.

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So in my case, it's Python 3.10, so I should check on consoles.

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3.10 is a correct command.

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So for me it's fine.

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So make sure you don't have spaces in this command, but you have a space between that command and the

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path.

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Or you might have errors underneath here which are errors produced by the Python script.

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So these are the same errors you might be getting in the pie charm command line.

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So if your code has an issue, that error will be displayed here as well.

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So that's something to keep in mind.

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And yeah, that's how you schedule tasks for execution in Python anywhere.

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So Python Anywhere has the task feature that the main feature of Python anywhere, but also it has a

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web feature here.

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You can host web apps.

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So previously in the course we use the Heroku servers to host our stream lit app or but you can also

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use Python anywhere to host certain apps.

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However, Python anywhere does not work with stream apps, so you cannot host streaming apps on python

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anywhere.

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For a list of apps you can host, you can click on next and you can see them in here.

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So Django Web two Pie Flask bottle.

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These are web frameworks, Python Web frameworks used to build web apps.

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So we're not going to use Python anywhere for Web apps for now.

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And so what I wanted to show you was this.

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That's how you can schedule tasks.

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Another feature.

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Also, if you go to consoles, you can open a python shell by clicking one of those versions and that

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should display an interactive python shell for you on the browser where you can code.

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So there you go.

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That's Python 3.10 point five in my case.

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And you can code here.

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But of course, this is an interactive shell, so the code will not be saved in this console.

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To go back to the dashboard, you can click there and go to dashboard and the console is still open

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there.

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So you can press there and you can access the same code you wrote earlier.

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So that's about Python anywhere.

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Thanks for following and I'll talk to you later.