WEBVTT 00:00.840 --> 00:02.070 Hey guys welcome back. 00:02.070 --> 00:08.580 In this letter we'll be talking about one most important item library called PANDAS so pandas is quite 00:08.580 --> 00:12.270 a game changer when it comes to analyzing data with Python. 00:12.420 --> 00:18.900 And it is one of the most preferred and virally used tools in data analysis and also playing with data 00:19.080 --> 00:26.280 that are stored in CSC file text file Jason File and different type of EPA and downloadable file. 00:26.610 --> 00:32.990 So this is one of the most important library which is currently used to perform operations over data. 00:33.220 --> 00:38.990 The major problems of find out is to be used for data manipulation analysis and cleaning. 00:39.330 --> 00:45.270 So it is well suited for different kind of data in which we require some type of manipulation or maybe 00:45.270 --> 00:49.650 changing of data or maybe cleaning and removing unrequited data. 00:49.800 --> 00:53.910 Only performing analyses make if I talk about basic example. 00:54.060 --> 00:56.110 I usually do the scraping. 00:56.190 --> 01:03.540 That means I did content from different website store them in CSP or Jason File and then use pandas 01:03.780 --> 01:07.710 to perform different experiment for them to get my desired result. 01:08.100 --> 01:10.070 So that's how it is used. 01:10.110 --> 01:16.610 It is suitable for data that are stored in either tabular form or some ordered or unordered form or 01:16.640 --> 01:20.310 in some form of matrix or maybe some unlabeled data. 01:20.580 --> 01:26.550 So you should know to store data in some type of form and you should know that how to Dodo scored or 01:26.550 --> 01:33.150 how their data is structured and then you can use binders to perform different operation now before 01:33.150 --> 01:38.760 talking about anything else with pandas or before performing anything I would request you to visit the 01:38.760 --> 01:45.090 official website of pandas library and it would be really helpful for you go understand a bit about 01:45.180 --> 01:48.390 its history and how you can walk along with it. 01:48.420 --> 01:50.880 Don't worry we are going to perform everything. 01:50.910 --> 01:57.460 I just want to make you a habit to understand different libraries because there will once twenty thousand 01:57.460 --> 02:03.240 liabilities and you might need to use different libraries at different points of time maybe in future. 02:03.420 --> 02:04.280 But some project. 02:04.620 --> 02:09.870 So it's a good habit to judge a library and understand the second thing I would request you to do is 02:09.960 --> 02:15.840 visit buy and search about pandas and just read out the description. 02:15.960 --> 02:17.890 That would be really helpful for you. 02:17.970 --> 02:22.130 And also you will be understanding a lot more things about buying us. 02:22.160 --> 02:27.290 This is the first thing that I would do with any liability and I recommend this as a good habit. 02:27.740 --> 02:33.920 So just take a buzz visit by a buyer and social moat find us and also is the official website of pine 02:33.910 --> 02:38.550 nuts so You will get a basic and full hour before installing find us. 02:38.550 --> 02:43.670 I just want to talk about one small thing that bond us is a high level library. 02:43.680 --> 02:48.890 That means there are certain other liabilities that are required to run bond us. 02:49.100 --> 02:51.830 So the library that is required is no. 02:52.530 --> 02:56.880 And what is known by a number of stands for new magical python. 02:57.150 --> 03:04.330 So it is a library consist of multi-dimensional areas you can consider it as multi-dimensional list. 03:04.410 --> 03:10.820 So then we play with metrics or when we play with different type of processing formats which use inputs 03:10.820 --> 03:12.670 of multi-dimensional edit. 03:12.780 --> 03:15.040 At that point of time we use no. 03:15.360 --> 03:18.930 It is also one of the most important scientific clarity. 03:19.230 --> 03:25.420 If you have used open CV No I would have already been installed no system and if you're going to use 03:25.510 --> 03:29.560 does none by will automatically get installed in your system here. 03:29.610 --> 03:35.460 The point was to make you understand about pandas that it is a high level library and it requires some 03:35.490 --> 03:37.940 other libraries to work perfectly. 03:38.010 --> 03:46.380 So without any delay let's create a new for local buy upon us and let me open my command from so far 03:46.380 --> 03:48.170 as I need to install pandas. 03:48.170 --> 03:49.950 You can do that in any form. 03:50.030 --> 03:51.850 I mean started my bind us. 03:52.250 --> 03:54.830 All you have to do is tape installed by us 04:00.440 --> 04:02.250 once that is done destroyed do it. 04:02.260 --> 04:02.890 If I die. 04:03.020 --> 04:07.340 All you have to do is A.O. bite on shell and then implode bind us 04:12.080 --> 04:14.810 so I haven't got any air while importing pine nuts. 04:14.810 --> 04:16.830 That means my library days and. 04:17.110 --> 04:22.370 There are chances that on some Windows system you might get error with bind us or no. 04:22.760 --> 04:25.240 So far that you have to do one simple step. 04:25.280 --> 04:30.830 Remember this step is only for someone who is getting error when installing any liability. 04:31.070 --> 04:37.100 So all you have to do is just visit Google and search about pre compiled by total liabilities and how 04:37.100 --> 04:40.310 you will get information about compile liabilities. 04:40.310 --> 04:44.150 This was the first one make me search for by NZ. 04:44.150 --> 04:44.900 Here you go. 04:45.050 --> 04:47.500 So now you have an executive will find. 04:47.630 --> 04:52.960 Check your Python was on since this is for three point seven margin and these two are the words for 04:52.960 --> 04:54.910 32 bit and 64 bit. 04:55.000 --> 04:56.400 Let me download this one. 04:59.210 --> 05:03.040 When will you have to install both non fire as well as pine nuts. 05:03.110 --> 05:06.260 The first will be done on fire and the second will be upon us. 05:06.580 --> 05:12.980 And then when I have downloaded this and my file on does so I have to be inside my by my nuts file. 05:12.980 --> 05:18.230 All you have to do is write pip install and then encode give the final name. 05:18.340 --> 05:23.630 That's all if you breath into your bond as will be in strata but I have already installed so I'm not 05:23.630 --> 05:25.270 going to do this process. 05:25.430 --> 05:26.780 That's all for this lecture. 05:26.800 --> 05:31.820 We are talking about partners we have installed by now and by now we also understood how to install 05:31.910 --> 05:34.730 recompile libraries whenever we are willing to get data. 05:35.210 --> 05:37.550 So you are good to go with different methods. 05:37.550 --> 05:39.620 That's all for this lecture in the next lecture. 05:39.650 --> 05:43.480 I will be talking about I bite on as well as Jupiter notebook. 05:43.700 --> 05:45.290 So these two are really important. 05:45.320 --> 05:46.640 So see you in the next one.