1 00:00:05,650 --> 00:00:11,110 Hey everyone welcome to this module this module is about the pandas about which I believe you already 2 00:00:11,110 --> 00:00:12,130 heard of. 3 00:00:12,160 --> 00:00:17,500 So this is one of the most common word in case of data science and is the most important tool in data 4 00:00:17,500 --> 00:00:18,690 science. 5 00:00:18,760 --> 00:00:22,090 It's generally an open source library that is built on the top of No. 6 00:00:22,510 --> 00:00:29,710 And it's used for cleaning and analyzing purposes also just like the visualizing techniques that we 7 00:00:29,710 --> 00:00:31,580 have like mad protein Sable. 8 00:00:31,660 --> 00:00:38,710 We use these techniques to blow the data form of graphs and that's what I can also do. 9 00:00:38,810 --> 00:00:44,200 Panda has inbuilt visualizing techniques by which it can provide the data graphs. 10 00:00:44,270 --> 00:00:46,810 That's what we are going to learn later. 11 00:00:47,320 --> 00:00:50,440 And here we are going to learn pandas in two steps. 12 00:00:50,440 --> 00:00:56,860 That is first this module the basics of pandas how to work them declare them and things like missing 13 00:00:56,860 --> 00:00:58,240 that etcetera. 14 00:00:58,270 --> 00:01:01,440 Then after learning the metallurgy when seaboard. 15 00:01:01,630 --> 00:01:06,980 So that visualization is something simple familiar to you so that you can easily perform. 16 00:01:07,570 --> 00:01:16,210 After them we will use pandas in build techniques for data visualization. 17 00:01:16,450 --> 00:01:20,010 And next year we will complete the pandas. 18 00:01:20,080 --> 00:01:24,310 So this model is just about the basics and how to work on pandas. 19 00:01:24,930 --> 00:01:26,100 And thanks for watching. 20 00:01:26,110 --> 00:01:27,800 This is all about the introduction. 21 00:01:27,890 --> 00:01:28,980 Will see in the next video.