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OK but with that being said we can just about conclude not only our discussion of Clauson objects but our entire tutorial series on the Python language basics. digital media agencies in Mumbai So we started off learning Well first how to install Python and Python then we talked a little bit about the ID pi the charm itself how to create new files how to find the stuff we need to and then how to compile and run our projects. Then we took a look at simple variables in python there were the two main single variable types the numbers and strings. We took a look at multivariable types which were out arrays tuples and dictionaries that we explored control flow we talked about if statements else.

 

If all else is ann l statements that we talked about our while and for loops then moved to functions and finally finished up without discussion on classes which is what we talked about here. So I know things weren't kind of quickly and it didn't go too in-depth into a lot of these topics. Still digital marketing company honestly a lot I wanted to discuss but I'm trying to just give you the basics as quickly as I could and get you out and ready to develop some actual programs of your own so it will probably be Stasia with some of the basic tense flow stuff. I think digital media agencies in Mumbai we'll be using pi charms for this as well. And if there are any new concepts that I haven't covered in this Python tutorial I'll introduce those at the time in which we cover them but otherwise, the best way to learn more about Python is going to be to practice on your own.

 

Explore some of the options available to you as well as check online to a look at. Stuff like the Python documentation itself. But that being said you should know enough from these five tutorial sections as well as like the install and everything to get you started by digital media agencies in Mumbai developing some Python programs. It's really quite a fantastic language to use. I actually really enjoy using Python. It's so versatile so flexible and has such a huge number of applications so that being said will wrap this up.

 

Thanks very much for setting up this tutorial again. I really appreciate the support and I speak not only on behalf of myself but on behalf of everyone here at Mammoth as well. So let's go ahead and get started by developing some actual Python programs. I think to start with a basic intro into the tensor flow using Piko. What is up to everyone and welcome to the first tutorial in our tents a flow series? My name is Nimish. I'm with mammoth interactive and I'm going to be guiding you through this tutorial as well as through the next few tense close tutorials in which we'll build a few projects together and we'll also show you how to add tens of flow to our Android studio.

 

Now at this point actually before we go any further I'm going to assume that you know at least a little bit about Python programming as well we're going to be working in Python just because I think this is a nice idea and makes building and running our Python programs easy. So if you have no experience programming in Python or using Python I suggest you watch our tutorial series on the intro to Python in Python. I also did that one and should be included in the Halo coding package anyway. But digital media agencies in Mumbai assuming you're comfortable enough with that stuff let's learn about Tensen flow itself. So in this tutorial we're just going to be covering the basics stuff tends to flow components and roughly how to build a small program and use tends to flow in Python. So we'll start just by learning about each of the components.

 

Also building up a tenth supply project including building up the computational graphs and then training your program. And finally, we'll cover how to test your program by building a small program ourselves which will basically simulate a simple linear regression type model. Now keep in mind as we go through this tutorial that this is just going to be an intro into the very basics of safflower. And as we work through the other projects we go and see a variety of different libraries that I'm going to be used at a bunch of different machine learning techniques.

 

However, this is a good place to start if you have no machine learning experience particularly if you've never used tens of flow before. So without further ado let's get started. I just started up an instance. All right. Keep in mind this is version seventeen point two point three and I'm going to be using Python. So make sure you've got all of the latest stuff because this will help with the imports if you digital media agencies in Mumbai don't have the later version of Prytaneum. Will this version of Python you might not have access to some of the libraries we're going to be using. So we're just going to start by creating a new project. Let's just call this something like so slow basic So in a show you can actually instead of doing this click right on this item choose a location go just like the desktop or something that's fine.

 

Going to go ahead and open up but make sure you're going to be saving this in a folder. You'll be able to easily access and probably won't be moving around too much as you can see the interrupt just going to be using. point two and keep might have used a different version of Python you might not have access to some of the same frameworks and libraries that we'll be using. So it will go and digital media agencies in Mumbai create that project and don't worry about this we'll just go ahead and select no. And this will just create our new project for us. So it's just going to take a little while to up just needs to scan some files to index and then once that's done we'll start just with a base skin.

 

Insofar as what tends to flow is and what's going to do for us this is just going to be basically a text file that I've written that will just provide a brief intro into kind of the topics we're going to be covering as well as give an overview as to how tense the flow works and some of the components offsets. Once we're done with the intro We'll explore some specific components that we'll talk a little bit about linear regression then build up how linear regression model and then we'll be done and ready to start some type of real projects.

 

So as always of your findings two tours this slow them feel free what she's a kind of one and a half or two-time speed. But don't skip over entire sections as we're gonna digital media agencies in Mumbai be covering some pretty complex stuff intensely can be a little confusing for those who have never used it before. So will we go ahead and get started with our brief talk into the overview of tens of flow and roughly how we're going to be using our projects.