banking | Python scrapers for extracting bank statements

I was having and ID in the URL example service-detail/1 which was working fine later I redirected the route to service-detail/abc not the url is not working I am not sure what is the error

I am getting the routes like

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From this text data: https://drive.google.com/file/d/1p34ChEAC9R7HnkyllnpCLCYrIevP4u8T/view?usp=sharing

I want to create a structure in this form:

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I am beginner for Java software language. I have been working on C# software language.

I would like to ask a question. I have been working on a project that is about a small core banking solution. I wonder if I can use MyBatis,IBatis with CQRS Pattern and Domain Driven Design instead of using org.springframework.data.repository or not. Is using mybatis a good fit for the CQRS pattern?

I have been researching an example project on the Internet, but I could not find it. I wonder if there is an example for me or not.

Do you have any ideas?

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I am using react-native-razorpay in my application. I want to hide some payment methods on the Razorpay payment page.

I am able to hide or disable Net Banking and Wallet options but the Pay Later option doesn't disable.

This the code i used

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I have a data frame which is as follows.

Table_name Domain Use_case group Reporting finance, marketing resource Banking, Reporting marketing, sales, finance customer Reporting sales

Domain_df[]:

Domain_name Domain_id Reporting 1001 Banking 1002

Usecase_df[]

usecase_name id Finance 2001 marketing 2002 sales 2003

Final result I want is:

Table_name Domain Use_case domain_id usecase_id group Reporting finance, marketing [1001] [2001,2002] resource Banking,Reporting marketing, sales, finance [1002,1001] [2002,2003,2001] customer Reporting sales [1002] [2003]

Intitially I tried splitting the column with delimiter , and forming separate columns using

df=df.join(pandas.DataFrame(df['Verified Use case'].str.split(', ', expand=True)).add_prefix('use_case_'))

Result of which I got something like :

Table_name Domain Use_case domain0 domain1 usecase0 usecase1 usecase2 group Reporting finance, marketing Reporting NA finance marketing NA resource Banking, Reporting marketing, sales, finance Banking Reporting marketing sales finance customer Reporting sales reporting NA sales NA NA

Beyond this, I need to do a merge/lookup on ever column to the domain and use case tables to fetch the respective ids returned to the data frame in the form of a list in the column. It should be a list of the corresponding ids.

Is it a good approach to split every column into separate dynamic columns and then do a merge (in which case writing this merge statement is tricky for which I need some help)

but my question was is there any other way to achieve this directly, without splitting it?

if no, then how can we achieve dynamic merging?

PS: The no of values being entered in the columns domain and use_case is a variable.

Please let me know if the question/result is unclear.

Thanks a lot in advance

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I copied an existing project on overleaf but it doesn't display the icons, instead shows the code, for example, the main project is:

but the copied project is for LinkedIn icon:

here is a minimal reproducible example:

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I have the following dataset with three variables. The first variable "Adversity.category" differentiates between 4 types of adversity. The second category "Adversity.subcategory" provides more fine-grained descriptions of the adversity whereas the "Adversity.event" refers to the specific event. I would like to the provide a summary table for each adversity category. Thus, I should have one summary table for "economic crisis", one for "natural disaster", one for "anthropogenic disaster", and one for "health" with two five columns in total: subcategory, specific event, n, total % and cumulative% starting with the highest count at the top.

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I have the below data frame

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