Google Colab Tutorial | Getting Started With Google Colab | How To Use Google Colab


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Getting Started With Google Colab | How To Use Google Colab


[music] Hello, guys! Welcome back to another tutorial. Hit the bell icon button so that you don’t miss out any tutorial. In this section. You will learn how to use call up an amazing tool provided by Google to use their fantastic libraries, deep learning libraries and more broadly speaking to code on Python online. First thing that you have to do then is to type call up here and click on Google. Call up, so what’s happening now is that you are redirected on the Collab main interface, It’s an online interface, It’s a web interface And what I suggest you do. Is you sign in? Obviously you need a Google account. I’ve got mine, but it’s just one. Click away to create one. If you don’t have it, then the password is wrong. Let me type the right password. There we go now. Let’s start from the beginning. The first thing that you want to do is to create a new ipython notebook, so it could be for instance. Python 3 notebook, and I’m gonna magnify this. The useful you can. You can see what’s going on here. I’m trying to new editor and here I’ve got a cell by the way. I forgot to mention that if you already know how to use Kolob or how to use an iPad on Jupiter notebook, just feel free to skip this section. Go to the next one. The first thing that I would like to tell you is that the main one of the main functions or features of Kolob is the ability to create cells so here we have two types of cells, code cells and text cells. This is very, very powerful. It’s very powerful, because if I want to write, for instance, what I’m doing in this case is an introduction to call up. I can do that I can. This is markdown. So I can essentially create titles. I can move this cells somehow. Let me see how yeah, somehow. You can move, move them. I don’t remember how to do it, but it’s fairly intuitive and easy. The interesting thing here is that once you have the ability to write and stuff, you can even comment your code, even before you are doing it. You know, so for instance, here. I can say, okay. I want to showcase. What code snippets are I also want to look at autocomplete? The difference between text and code cells already done, and then I want to demo the share feature and the exporting. Now here, it’s text. I can add links. I can add images whatever I want. It’s full markdown. So this is really really handy. What I want to do now is to execute this cell to execute a salad. Just click shift, enter and this time. I’m gonna create a code cell. So our code cell is a cell That essentially is used to contain a Python code and I could use, for instance, print statement print. Hello, world. I click here. I executed and the result should just be the string. Hello world printed down below now as I mentioned before, there is an awful lot more of this, and in particular, if you are clicking here on code snippets, you have a lot of very cool stuff, for instance. I like data visualization. So if we go here, we have, for instance, this kind of stuff, which is fascinating so essentially, this tab here enables you to copy and paste quickly code snippets that you can use to then experiment and look at your data, for instance, like in this case. So everything is pre-made for you by Google. How cool is that? So what you do here? Is you explore the data that you can alter this code? You can modify it. You can comment. You can leave comments here like, for instance, fix, fix this bar code new comment and then another interesting tool that I want to show you is this so when you are creating code like, for instance, let’s say that we take the item. There is this very, very helpful function that it allows you to autocomplete code. Sorry about that and here you can even see the documentation about a specific function. So this pretty pretty cool. Another cool thing is the ability to share and this notebook with other people. So for instance, I can share with myself or another account and so on, so I think you got the point. You can also export this into a traditional ipython notebook and by clicking here download Ipython notebook. You’re able to get the file on your laptop so that if you want to run it locally, you can do it so there is again much more than what. I showed you here, but I leave it up to you to discover this amazing tool that we’re going to use, at least in this first part, which is called foundations of deep learning. Thank you for watching, don’t. Forget to subscribe the channel. If you like the video, do give us a thumbs up and share it also check out amazing discounts and offers on our premium courses in the description below.

0.3.0 | Wor Build 0.3.0 Installation Guide

Transcript: [MUSIC] Okay, so in this video? I want to take a look at the new windows on Raspberry Pi build 0.3.0 and this is the latest version. It's just been released today and this version you have to build by yourself. You have to get your own whim, and then you...

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