1 00:00:00,300 --> 00:00:05,060 Hello, guys, and welcome back to the class of our course about the complete introduction to the science. 2 00:00:05,730 --> 00:00:11,540 So today's class main topic will be setting up pandas in Europe by text editor. 3 00:00:11,760 --> 00:00:17,550 So basically, if you guys want to work with the pandas, it's pretty important to set it up first and 4 00:00:17,550 --> 00:00:19,660 install the plug in it. 5 00:00:20,220 --> 00:00:25,730 It works pretty much the same way as we did with no fly in the best part of the course. 6 00:00:26,040 --> 00:00:29,100 So this is exactly what we are going to do today. 7 00:00:29,400 --> 00:00:30,080 So pretty simple. 8 00:00:30,090 --> 00:00:34,290 The first thing they'll ask you guys to do is simply opening up your pitch text editor. 9 00:00:35,400 --> 00:00:43,590 And then from this moment, you go into your files and then in your settings from this, when you guys 10 00:00:43,590 --> 00:00:47,660 are in your settings, what you want to do is simply look for your project. 11 00:00:47,700 --> 00:00:52,050 In this case, I have my project, Project Python two, so we'll just open it. 12 00:00:52,530 --> 00:00:55,370 When it's done, I will select Project Interpreter. 13 00:00:55,390 --> 00:01:00,000 So you guys will have project structure, but we want the project interpreter. 14 00:01:00,570 --> 00:01:07,660 Then the next thing will be simply adding pandas to our well, to everything that is here. 15 00:01:07,680 --> 00:01:10,770 So too the packages so installed the panda package. 16 00:01:11,730 --> 00:01:12,510 So pretty simple. 17 00:01:12,510 --> 00:01:19,680 Simply write down pandas and you can find it just they're so powerful that obstructer for data analysis, 18 00:01:19,680 --> 00:01:22,510 time series and statistics, this is exactly what we need. 19 00:01:23,100 --> 00:01:26,810 So when you find out what you want to do is simply click on install package. 20 00:01:27,120 --> 00:01:33,000 So what's going to happen by train will simply install this package and you will be able to work with 21 00:01:33,240 --> 00:01:39,780 pandas for the next few classes because you can see it's here. 22 00:01:39,780 --> 00:01:42,750 It's written package installed successfully. 23 00:01:43,080 --> 00:01:45,780 So when you see this message, this means that everything is good. 24 00:01:46,350 --> 00:01:47,970 Then you can simply click on X. 25 00:01:48,300 --> 00:01:51,480 So you can see here I have my pandas that have been installed. 26 00:01:52,850 --> 00:01:58,820 Just click on OK, then, if you want to import my pendas, it's pretty simple how exactly how exactly 27 00:01:58,820 --> 00:02:02,300 can I import my pendas for the next few projects? 28 00:02:02,300 --> 00:02:03,780 You guys will know it. 29 00:02:03,980 --> 00:02:08,060 So pretty much the same way as I import numbers or any other package. 30 00:02:08,180 --> 00:02:12,040 So I need to write down import then what I want to import. 31 00:02:12,040 --> 00:02:16,940 Don't import Banda's as what as in this case. 32 00:02:16,980 --> 00:02:21,110 And this will be the so our import vendors as Beedie. 33 00:02:21,740 --> 00:02:28,790 And from this moment I can write down all the codes that I want and use all pendas terminologies and 34 00:02:28,790 --> 00:02:30,380 it's going to work perfectly. 35 00:02:31,430 --> 00:02:34,350 So right now you guys should have been deepend. 36 00:02:34,360 --> 00:02:40,010 The package already installed on your by train platform on your by text editor. 37 00:02:40,010 --> 00:02:40,270 Sorry. 38 00:02:40,490 --> 00:02:47,660 And from this moment, you guys will be able to start working with Python and us together so that first 39 00:02:47,660 --> 00:02:50,360 class guys and C o in our next class.