WEBVTT 00:00.260 --> 00:05.810 Hello guys, so I hope you are now comfortable with Google Colab and I hope you have explored the entire 00:05.810 --> 00:06.230 IDE. 00:06.560 --> 00:12.830 Now in this video I'm going to talk about one more very amazing IDE where it is not at all dependable 00:12.860 --> 00:14.060 on your system. 00:14.060 --> 00:18.590 Let it be your laptop or your desktop and I have personally used it. 00:18.620 --> 00:20.420 It is quite amazing. 00:20.870 --> 00:24.200 That is nothing but GitHub code space. 00:24.800 --> 00:30.110 So in this video I will be talking about GitHub code space and how you can get started with GitHub code 00:30.140 --> 00:30.470 space. 00:30.500 --> 00:34.520 Okay, so first of all, when you once you search for GitHub code space. 00:34.520 --> 00:37.820 So here you will be getting your first link which is called as code spaces. 00:37.850 --> 00:38.390 Okay. 00:38.480 --> 00:40.970 Now inside this first of all you need to login. 00:41.000 --> 00:42.710 You can login with your GitHub account. 00:42.740 --> 00:45.110 Okay I already have my GitHub account. 00:45.110 --> 00:47.420 I hope everybody has their own GitHub account. 00:47.420 --> 00:50.060 So first of all just go ahead and create your GitHub account. 00:50.060 --> 00:53.390 So go to github.com and just go ahead and log in. 00:53.390 --> 00:55.100 I have already logged in over here. 00:55.100 --> 00:58.790 You can either do a GitHub login or you can also do Google login okay. 00:58.820 --> 01:01.610 Now what exactly is this GitHub code space? 01:01.610 --> 01:08.560 It is nothing, but it is a secure development mode made simple GitHub Codespace gets you up and coding 01:08.560 --> 01:11.950 faster with fully configured secured cloud development environment. 01:11.980 --> 01:13.090 Native to GitHub. 01:13.120 --> 01:19.420 Okay, so this is quite amazing because the entire VS code feeling you'll be able to get in the cloud. 01:19.420 --> 01:22.300 And the best thing is that this is running in the GitHub cloud itself. 01:22.330 --> 01:22.750 Okay. 01:22.780 --> 01:29.740 So let it be, uh, you know, Node.js, Python or any other programming languages that you really want 01:29.740 --> 01:30.340 to work with. 01:30.370 --> 01:31.930 You can directly work over here. 01:31.960 --> 01:32.350 Okay. 01:32.380 --> 01:36.970 And the best thing will be also that you will be also able to collaborate if you have a paid version 01:36.970 --> 01:38.410 of this particular code space. 01:38.440 --> 01:43.960 Again, I'm not promoting anything because I'm going to show you the free version of this particular 01:43.960 --> 01:44.500 code space. 01:44.500 --> 01:47.680 So first of all, just go ahead and click on Get Started for free. 01:47.710 --> 01:53.530 So here you can see once you click on this here you'll be getting a various uh templates okay. 01:53.530 --> 01:54.580 To start with. 01:54.760 --> 01:56.830 So here you have blank by GitHub. 01:56.830 --> 01:58.090 You have react by GitHub. 01:58.090 --> 01:59.770 You have Jupiter notebook by GitHub. 01:59.770 --> 02:01.540 Or you have dotnet by GitHub. 02:01.570 --> 02:01.990 Okay. 02:01.990 --> 02:05.100 So let's say you want to go ahead and use blank GitHub. 02:05.100 --> 02:08.370 So I'll just go ahead and first of all show you with blank GitHub. 02:08.400 --> 02:13.470 Then we'll also show with Jupyter Notebook, because both this you can specifically use in order to 02:13.500 --> 02:18.930 execute the code or Python or anything that is related to data structures and algorithms with Python 02:18.930 --> 02:20.250 that is given in this course. 02:20.250 --> 02:23.100 So here first of all click on use this template. 02:23.610 --> 02:28.530 So once you click on use this template you'll be able to see that you'll be getting a feeling of entire 02:28.560 --> 02:30.000 VS code that is set up. 02:30.030 --> 02:30.360 Okay. 02:30.390 --> 02:32.460 So this is how a VS code looks like. 02:32.490 --> 02:33.900 Okay this is in my local. 02:33.900 --> 02:36.030 So I just want to show you in the cloud also. 02:36.030 --> 02:39.960 So this is how your entire GitHub vs code will get selected. 02:39.990 --> 02:40.350 Okay. 02:40.380 --> 02:42.150 Then you can go ahead and select a theme. 02:42.150 --> 02:44.400 Let's say that I'm going to select this specific theme. 02:44.490 --> 02:47.250 Uh this looks quite bright so this will be more than sufficient. 02:47.280 --> 02:52.680 Okay so here you can see in the left hand side you can probably create any number of files that you 02:52.680 --> 02:53.610 really want to work with. 02:53.640 --> 02:56.400 In the right hand side you can see uh you have this. 02:56.400 --> 02:58.620 And in here also you have something called as terminal. 02:58.650 --> 02:59.100 Okay. 02:59.130 --> 03:03.720 Now what you really need to do is that first of all, initially to start with, you know, you can also 03:03.720 --> 03:04.980 go ahead and zoom in. 03:05.010 --> 03:05.280 Okay. 03:05.280 --> 03:09.030 So just press control Plus and you will be able to see the screen very much clearly. 03:09.060 --> 03:09.600 Okay. 03:10.560 --> 03:10.980 Perfect. 03:10.990 --> 03:11.920 So till here. 03:11.920 --> 03:13.240 I hope everybody is clear. 03:13.270 --> 03:13.510 Right. 03:13.510 --> 03:19.210 And this is nothing but this is your VS code ID itself in the cloud, which is GitHub code space here. 03:19.210 --> 03:23.740 The best thing is that you don't even have to create an environment or don't have to do anything as 03:23.740 --> 03:24.070 such. 03:24.100 --> 03:24.490 Okay. 03:24.520 --> 03:29.230 Let's say by default I think this provides you Python 3.12. 03:29.260 --> 03:29.560 Okay. 03:29.590 --> 03:34.330 If you really want to go ahead and start with, let's say I go ahead and create my app dot Pi okay. 03:34.360 --> 03:38.410 And let's say I also want to go ahead and create my Jupyter notebook file. 03:38.410 --> 03:40.720 So I'll go ahead and write test dot ipynb. 03:40.960 --> 03:41.620 Okay. 03:41.620 --> 03:45.040 So for Jupyter Notebook we basically write Ipynb. 03:45.070 --> 03:49.120 And for a.py file we specifically use for this okay Python. 03:49.120 --> 03:51.310 We'll be talking more about it as we go ahead. 03:51.310 --> 03:55.600 But I just want to show you these two kinds of files you can basically create over here. 03:55.600 --> 04:00.040 And you can also create a YAML file or any kind of files that you really want to work with. 04:00.070 --> 04:00.400 Okay. 04:00.430 --> 04:05.680 Now after I have created these two files what I will do I will also go ahead and select or I'll just 04:05.680 --> 04:07.030 go ahead and open my terminal. 04:07.060 --> 04:07.600 Okay. 04:07.630 --> 04:11.770 Now once I go into my terminal, let's say that I want to use one of the library. 04:11.800 --> 04:16.090 Okay I will go ahead and write pip install if I want to install any library, I can go ahead and write 04:16.090 --> 04:16.450 like this. 04:16.450 --> 04:18.370 So let's say that I want to install pandas. 04:18.400 --> 04:24.280 Okay, so once I write pip install pandas here you can see that hey, my requirement is already satisfied. 04:24.280 --> 04:25.780 This looks absolutely perfect. 04:25.810 --> 04:27.250 Okay, now let me do one thing. 04:27.250 --> 04:29.020 Let me just go ahead and run my code. 04:29.020 --> 04:31.270 Print one plus one okay. 04:31.270 --> 04:33.640 So once I write, print one plus one. 04:33.640 --> 04:39.070 And if I want to execute this particular file okay, first of all I'll clear my terminal. 04:39.100 --> 04:39.490 Okay. 04:39.520 --> 04:42.220 There are two ways of running this specific file okay. 04:42.220 --> 04:48.100 So first of all I will just go ahead and write Python app.py okay. 04:48.100 --> 04:51.880 So once I write python app.py since I'm printing one plus one. 04:51.880 --> 04:54.040 So this is basically getting printed okay. 04:54.070 --> 04:55.930 And this is so simple right. 04:55.930 --> 05:00.520 You just need to already go ahead and write app.py print one plus one automatically. 05:00.520 --> 05:01.750 This things will get printed. 05:01.780 --> 05:03.850 Okay this looks absolutely easy. 05:03.880 --> 05:06.040 Let's say I want to go ahead and print one more code. 05:06.040 --> 05:09.850 I can go ahead and write print two plus three right. 05:09.850 --> 05:14.440 And let's say if I'm going to also save this, if I go ahead and write Python app.py again I'm getting 05:14.470 --> 05:15.370 two comma five. 05:15.400 --> 05:15.790 Right. 05:15.790 --> 05:20.150 So this becomes very simple to probably run any code in the py file. 05:20.150 --> 05:21.440 In order to execute it. 05:21.440 --> 05:25.280 I just need to call Python and call that particular file name that is app.py. 05:25.310 --> 05:27.380 Automatically this should run okay. 05:28.310 --> 05:31.040 Now this was with respect to any execution. 05:31.040 --> 05:36.560 You will be seeing that most of our executions that we are going to probably do right in the VS code. 05:36.560 --> 05:42.620 Specifically, we will be using either this.py file or we will be using Ipynb. 05:42.650 --> 05:47.990 And the best thing about this will be that this is entirely running in the cloud, not in your local 05:47.990 --> 05:48.560 laptop. 05:48.560 --> 05:54.770 So even though you don't have a very fast system or laptop or a desktop, you can directly go ahead 05:54.770 --> 05:56.810 and execute your code in the cloud itself. 05:57.440 --> 06:00.590 Now let's go to the towards this test dot Ipynb. 06:00.830 --> 06:05.180 Now what I'm actually going to do over here is that I will just go ahead and execute one plus one. 06:05.180 --> 06:11.510 And here you can see that it is saying install or enable suggested extension. 06:11.540 --> 06:13.100 I will go ahead and install that. 06:13.130 --> 06:13.580 Okay. 06:13.580 --> 06:18.050 So here you can see installing Jupyter extension and install Python extension. 06:18.050 --> 06:19.670 It is basically taking place. 06:19.670 --> 06:21.500 So this will probably take some time. 06:21.500 --> 06:24.860 Once this is getting installed, we can go ahead and execute this. 06:24.860 --> 06:26.990 Now installing Python extension is also happening. 06:26.990 --> 06:32.510 You can see in the corner if I hide my face okay, now it is done I will go ahead and click on Python 06:32.510 --> 06:34.910 environment and I will select the environment. 06:34.940 --> 06:37.340 You can also go ahead and create a new environment if you want. 06:37.370 --> 06:37.820 Okay. 06:37.820 --> 06:41.360 But I'm just going to select the environment that is given by this okay. 06:41.390 --> 06:43.760 So here you can see connecting to kernel Python. 06:43.760 --> 06:46.640 So once I execute this it should get executed. 06:46.670 --> 06:50.480 Then again you can go ahead and write print two plus three. 06:50.510 --> 06:52.130 Execute it and all. 06:52.130 --> 06:53.210 It is up to you right. 06:53.240 --> 06:58.580 So any code you can either write it in Ipynb or you can also write it in uh app dot Pi. 06:58.610 --> 06:59.030 Okay. 06:59.030 --> 07:04.190 Now let's say that, uh, after probably creating this particular file, you also want to download this 07:04.190 --> 07:04.460 file. 07:04.490 --> 07:04.880 Okay. 07:04.880 --> 07:08.540 So for downloading it you just need to do right click and click on download. 07:08.540 --> 07:11.390 So automatically this file will get downloaded over here. 07:11.390 --> 07:12.830 It can be app dot pi. 07:12.860 --> 07:14.510 It can be text dot ipy and beyond. 07:14.540 --> 07:15.260 All right. 07:15.260 --> 07:22.130 So this is the most easiest way of probably starting any integrated development environment because 07:22.130 --> 07:23.570 it has almost each and every thing. 07:23.570 --> 07:27.900 So you can probably go ahead and install your libraries that you really want. 07:27.930 --> 07:32.190 Let's say you want to install any new libraries you can specifically install over here and do multiple 07:32.190 --> 07:32.850 things right. 07:32.850 --> 07:34.650 And you can create any number of files. 07:34.650 --> 07:39.660 You can create folders, you know, and we will be also starting in that specific way. 07:39.660 --> 07:44.820 But uh, in my entire course I have specifically used VS code. 07:44.850 --> 07:45.450 Okay. 07:45.750 --> 07:52.050 Uh, so VS code will be quite amazing to do the coding itself, uh, because in many companies also 07:52.050 --> 07:58.590 we specifically use VS code, and from that we try to commit into the repository and do multiple things. 07:58.620 --> 07:59.040 Okay. 07:59.040 --> 08:05.340 But yes, uh, if you have some system configuration issues and all, you can also use code spaces, 08:05.370 --> 08:05.760 okay. 08:05.790 --> 08:10.680 As per your, uh, criteria or whatever things you really want to execute it. 08:10.710 --> 08:11.160 Okay. 08:11.190 --> 08:13.860 So yeah, this was it from my side. 08:13.860 --> 08:15.480 I hope you like this particular video. 08:15.510 --> 08:16.770 I'll see you all in the next video. 08:16.770 --> 08:17.400 Thank you. 08:17.400 --> 08:21.120 And in the next video we are going to install VSCode and Anaconda. 08:21.120 --> 08:25.470 And I'll also show you that how you can probably create your environments, how to manage packages and 08:25.470 --> 08:26.370 many more things. 08:26.370 --> 08:27.420 So yes, this was it. 08:27.420 --> 08:28.290 I'll see you in the next video. 08:28.320 --> 08:28.560 Thank you.