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So guys, one of the most important question that I've been asked by many people who implement end to

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end project, that is with respect to creating an environment.

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Now, there are multiple ways in creating an environment, uh, for a project.

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And it is always a good idea that you probably create a separate environment for every project because

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you have a different set of dependencies and libraries that you need to install over there.

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Now, considering this right, I usually in my YouTube channel I use conda command to create a environment

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itself.

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Right.

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And many people do not have anaconda installed, they just have Python installed.

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So due to that they get some kind of error.

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Right?

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You can also create an environment through this Python command which I'm going to show you.

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So again in this video what all things I'm actually going to cover all the different ways how you can

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probably create an environment and start your end to end project itself.

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So let me quickly go ahead and show you.

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I'm going to show you three different ways.

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I'll open my terminal.

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Okay.

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And the best thing is that you can use along with you can use as a Linux command.

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Also you can use as in Windows Command Prompt also.

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So let me just show you the first way.

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The first way will be using python command right conda create command I usually show you.

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But today I will show you all the three ways how you can actually do it.

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So let me go ahead and write by using the Python command.

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So I will write p y t h and python okay.

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And then here I will go ahead and write minus m okay.

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And my command name that is v and v inside what folder.

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Okay.

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So here let's say my folder is y my e and v.

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So once I do this this folder will automatically get created okay.

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And by default my a environment will be set up.

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Now inside this particular environment, what kind of, uh, Python version you specifically have for

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that?

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First of all, let's go ahead and activate it okay.

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Now to activate this, what I will do inside my me env there will be include libraries folders and all

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inside script.

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There is one activate file.

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So I just need to go ahead and activate this to activate this particular environment.

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So for that what I will do I will write my env slash scripts slash activate okay.

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So once I write this and now here you can see that my environment is activated.

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Now I can probably go ahead and install any kind of libraries that I specifically want.

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Let's say pip install pandas.

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If I do or pip install numpy, then automatically the numpy will get installed in this specific library.

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Okay.

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And later on, if you have many number of libraries, you can basically create a requirement dot txt

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for this.

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The prerequisite is that you only need to have python installed.

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Now, which version of Python is probably getting installed over here that also you really need to check

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by default.

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Let's say in my Python environment right now I just shot right.

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Let's let's go and see my Python version.

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So let me go ahead and write Python version.

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So inside my Python version oops.

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You can see Python 3.8.5 is there, right?

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So by default whenever I create an environment.

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So this Python 3.85 only will get created.

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Because in my system I have this specific thing installed.

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Let's say I want to create with another Python version.

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Then I need to upgrade my Python package itself, right?

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I need to probably make it to 3.1. 3.1.0 or 3.1.2.

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What I need to do is that just go to Google, okay?

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And probably let's say I go to python.org and here I download the recent version.

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Now automatically.

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What will happen is that whenever I create an environment that through that way then I will get this

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specific version.

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So this is one way okay.

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The another way.

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So let me quickly I've activated it.

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Now I will go ahead and deactivate it.

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I will clear the screen.

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So this is one environment that has got created.

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Now there is also another way which we specifically use for Linux.

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Uh, Linux commands itself.

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So first of all I will go ahead and install virtualenv.

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So this virtual env sorry I think it will get an error.

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So virtual env this I will try to install.

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So once I probably install virtualenv I'll show you how you can create a command an environment through

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using virtual envy itself, and that also you can also use it in PowerShell or Good Bash.

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So in Virtual Envy I will go ahead and write virtual envy okay.

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And after writing virtual envy, let me go and go ahead and write it minus pi P.

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And then I will go ahead and write Python.

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Okay.

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Python the version I know that it is somewhere around three.

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And this will basically be my virtual environment name virtual underscore EMV.

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So once I go ahead and execute it, you'll be able to see that now inside this virtual EMV is also getting

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created.

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And inside this also you have a script folder.

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So if you want to activate somewhere activate via.

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This will also be there right?

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Activate file will be there to activate those commands.

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So in order to activate it what I will do, I will quickly go ahead and clear the screen and go ahead

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and write virtual env I think the the folder name is virtual envy, I guess.

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Let's see.

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Virtual underscore envy.

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Virtual underscore envy.

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So slash scripts slash back slash activate.

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So once I activate now here you can see I'm getting some error.

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Let's see what is the file name.

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Scripts.

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Scripts?

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Uh, slash.

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I think the spelling is somewhere here itself.

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Let's see.

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I will go ahead and copy this path.

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Okay.

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Oops.

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Let me just see.

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Okay.

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Activate.

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Activate, activate.

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I will copy the relative path.

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I'll paste it over there.

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Now I think it should be.

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Now you can see that it has got, uh.

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It moves into this particular virtual environment.

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Now, in order to deactivate, I will go ahead and deactivate.

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Okay.

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Now, this is the thing, right?

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Uh, through this, what you really need to do is that whenever you upgrade your Python, you'll be

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able to create that particular Python, uh, environment with that particular Python version In this,

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the third way, which is the most common way in which I also use is by using conda create.

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For this you really need to have Anaconda installed, and Anaconda is a better way I feel, because

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here you will be able to, you know, make sure that all the packages, all the environments are properly

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managed through the Anaconda environment.

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You can actually see each and every packages that has got installed.

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So you can also use this specifically.

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And for this way you only have to write conda create minus p v and v.

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Let's say v and v one.

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And here I will give my python version with respect to anything that I want 3.10 and dot and y.

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Right.

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So this command actually helps you to create an environment even though in the base you have different

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Python version.

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See right now you have Python version Python v okay I will write python dash dash v.

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So here okay.

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Version okay Python 3.8.5.

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Right now what I will do is that I will make sure that I create it through the conda.

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So I will write conda create minus p v and v one python.

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Let's say I want to go with higher version.

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Python double equal to 3.10.

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Right.

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And if I write w dash y then you can see that automatically.

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My entire environment will get created right.

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So I still find this as an efficient way.

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But again if you don't have Anaconda and whenever because many, many people are getting this kind of

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errors when they are doing my project because I only use Conda because that is much more efficient when

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I compare it to Python, But it is not possible.

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I'm not saying that it is impossible to create in other ways.

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You can go with that.

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So that is the reason I have shown you all the specific ways to go ahead, and you can create a virtual

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environment based on your needs.

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So I hope you like this particular video.

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This was it for my side.

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And this was the video about creating different ways of environment in your Python projects itself.

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Uh, yes.

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Go ahead and try it out and if you have any queries, please let me know in the comment section of this

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particular video.