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-: All right. Oh man, we've been talking for a long time.

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How can we finally run Python code?

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I wanna start coding, right?

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Let's download this translation service, right?

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Well, ah.

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I'm sorry.

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Actually, this is something we're going to do later on

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in the course.

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And I know what you're thinking.

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W-T-F Andre. What is this, kindergarten?

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I mean, come on.

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I came here to learn Python.

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Start teaching me Python. And I know, I know.

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And don't worry.

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In this course, we're going to get you to have

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a professional set up with Python.

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So that when you go into the workforce you are doing

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what you're supposed to be doing.

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We're going to learn how to have all of these set up.

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First, we're gonna have our terminal, or command line,

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where we can run Python from right in what we call a repl.

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And then we're also going to use code editors,

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like Sublime Text and Visual Studio Code.

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We're also going to use IDEs,

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or integrated developer environments,

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like Pycharm and Spyder.

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And we're also going to use Jupyter Notebooks.

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And I'm going to show you how to set up all of these

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on your computer, what the pros and cons of using each are,

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and how some of them might be used for machine learning,

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while others might be used for writing quick scripts.

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And I know this is a lot,

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but it's good to have these skills

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depending on what type of job you want.

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And if you're a professional Python developer,

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well you should be using most of these,

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but there's a problem if I start introducing this

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in the course right away.

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You see, these tools you have to install differently

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based on what computer you have.

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So if you're using a Mac, a Windows, a Linux,

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maybe you're using a mobile phone,

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because we want to get started right away

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and write some code instead of worrying

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about installations and making sure that your computer

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is all set up.

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I wanna make sure that all of us can get started right away

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no matter what device you're on.

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Now, if you're really, really keen,

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head on over to the section where I show you how to

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install all these on all of your devices

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so that you have it set up.

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And you can come back to this section.

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But I warn you, it's easy to run into problems

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and get confused when installing these tools.

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So, I recommend sticking with what I'm about to show you

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and I promise we'll get you this professional setup.

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No other course is going to teach you all these things.

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But before I dive into these,

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we need to learn, well, we need to be able to just have fun

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and write some code.

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So what is this trick that I keep mentioning where

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we don't have to install any of these

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and still run Python?

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It's called Repl.

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You see, instead of us having to download this,

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we can go to repl.it.

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And when you go here, you'll get a login screen.

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Now, I recommend creating an account on here

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because, trust me, it's going to be very, very useful.

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It's one of my favorite tools.

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And it allows you to save Python files just online.

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For example, once you log in and create an account,

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you can just create a new repl,

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choose the language that you wanna use.

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In our case, we wanna choose Python.

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We can name our repl.

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So, we can just call it, "heyhey."

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And we can just create our repl.

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And check it out.

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Right away we have, without ever downloading

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this Python translation service,

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we can actually start writing Python.

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Right here in our browsers.

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And this is going to work for anybody that has

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an internet connection and a browser

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because this interpreter just runs automatically here.

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And the beauty with repl is that, well,

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you can save these files, so you can have different folders.

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So, as we work through the course you can actually have

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a folder for all your Python work.

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And just have a really nice organized file structure

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that you can access anywhere you have internet connection.

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Now, if you don't wanna sign up for repl.it,

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it's completely free,

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you can also use this open source glot.io,

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which again, you go to Python

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and you're able to run Python online.

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So take your time, sign up for repl.it,

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and let's get started with our first Python program.

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I'm finally getting there.

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In the next video we're gonna write our first piece of code.

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No more waiting. It's coding time.

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So I'll see you in the next video.

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Bye-bye.