#23 Mastering Pandas Data Structures | Data Science for Beginners in Tamil

Key Takeaways

Welcome you all to this episode 23 of this data science with machine learning course in the data cleaning operations. really great that's how the community we have to build not like first comment second come I wanted to build a healthy community which is something Monday to Friday 6:30 p.m. Monday to Friday teaching concept Saturday real Saturday oneonone mock interview I will definitely do Sunday evening 9. Opportunities or even opportunities and possibilities. It's going to be in complete English who will be eligible we will be taking event. So once it's been shortlisted so make sure to be available on that particular time. All right. Number one, getting your data cleaner. topic chapter 3 which is going to be series pas data structure first step first I do you see second step I do you do third step you do I see okay fine data structures which means create a cell below the current cell. Okay. Mostly threedimensioned one-dimensional data structure of P series two data structure of Pra datal data structures of two data structures dimensional rows and columns either row or columns anyone PD dot already functional dimens series data. Okay. Which means always this will return with the index number. Index number zero value 1. 5 4 3 2 1 zero. That is really great. Now I need to knock the door of Python data structures. Okay. Python flow structure. Okay. Python dat 5.6 six dollar 5.6. So it's a onedimensional data structures where the value of that particular series is going to be with the index number along with that particular value. Two dimensional Size [Music] structured homogeneous dictionary can contain Control Celath. Um okay fine table datal datal addiction already. Sorry. Python dat math students. dictionary key value key value key value pair series two dimens Task create a meaningful series. Okay. One dimensional meaningful create a meaningful uh data data set using data frame. Pas data frame. Pas data frame with dictionary. Okay. Dictionary [Music] at least five observations. Five observations across six features. that is also I'm taking that feedback and I'm working for it. But in the concept series has no attribute because values scroll dat. Series object has no attribute index number with the values in the series PD series open and close dot float pat series float. Okay. series has no attribute float. Okay. for Google search but one skill programming debugging. Debugging solution. Fore. So you need a structured approach with a proper training with a proper coach and we need to start from the fundamentals so that we will never get stuck at one point of time. So in the particular episode so if you really gets lot of value from this you can drop your comments in the comment section. So definitely comment what is it something that you're taking from this particular part. So you can write it and let me know whether the session is useful to you or not. Next episode this is your a John. Let's make a simplified. See you all in the next episode. Bye. Cheers. [Music] [Music]