 Hello, welcome to SSU-Retek-Susil this side and this is continuation of PySpar tutorial. So in this video we are going to see about these three functions. First is the starts-with, second is the end-with and third is the contents. So when we can use it we will see in this video. So let me quickly go inside the browser and we will try to implement it in practical. So here we are having this says.csv file. So first I am going to read this says.csv file. So as we have already seen how we can read it in the earlier of these videos. So we can simply use this query and next we are going to rename the item name. And here we have the space between item and name. So I am going to remove that space over second row. Now here we are using display. So let's start with the starts-with. So when we can use the starts-with. So if we want to filter out your data set that we can see here this data frame. If you want only those rows those are item names starting with the total. Only those rows we won't filter out from this. So how we can do that? So simply we can go with the starts-with. Starts-with can be used there. So end-with can be used if you want to filter your data frame if your end value will be income. So in on that scenario you can use the end-with. And third one if you want to filter out your data frame that is containing any value. On this scenario let's assume if we want to filter out if the dividends. So if this dividends contain under the item name at any place then we can use the contains. So let's see what my one. So first before going to use the functions we are required to import the function. So we can use the from pyspark.sequel.funcents then import then as tick. So it is going to import all the functions. Here we have the data frame which is df. So we just want to filter out this df and at the starting position of the item name contain the total. If that is going to start with the total we want to filter out. So simply we can use the data frame df. Here we have to specify the column name by which we just want to filter it. So we can specify item name. Then dot here we have to use the starts with. So we can simply use starts with now inside the bracket we can specify the value. So if your data frame is going to start with the total then we just want to filter it. And only those records will be containing on this data frame one. Let me try to execute and we'll see. So as we could see the data frame has been filtered and it is having only those records those are starting with the total. So here we can use the starts with make sure you are correctly typing this starts with otherwise it will be throwing an error as this is the case sensitive. If we want to go with the end and inside the end we just want to filter only for the income. Let me try to execute. So this time we can see it is going to filtered all the rows and it is only keeping the rows those are ending with the income. So simply we can use like this now the third one as we have seen the contents. So we can use the contents and we want to filter out if your item name contains the operating. So something operating let me try to execute this query. Your data frame has been filtered and if your item name contains operating at any place then those records are returning as we can see 75 rows. So this is the simple way by which we can use these three functions. I hope guys you have understand how we can use it. Thank you so much for watching this video see you in the next video.