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edit approved Sep 20, 2021 at 18:02
Albo
edit approved Sep 20, 2021 at 18:02
Albo
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I have a dfdf which has a serial number generated with each new record. The serial number combines with some other part like state code, year of registration and category code. So it has a format like below: | DOR | Applicant's code | |:---- |:------:| |1-2-2018| MH2018-PAR-0689| |1-2-2018| MH2018-PAR-0689| |2-2-2018| MH2018-PAR-0690| |2-2-2018| MH2018-OMC-0691| |1-2-2018| UP2018-OMC-2461| |1-2-2018| UP2018-FPR-2462| |3-2-2018| UP2018-PAR-2463| |1-2-2018| UP2018-OMC-2462| Lets

| DOR    | Applicant's code |
|:-------|:--------------:|
|1-2-2018| MH2018-PAR-0689|
|1-2-2018| MH2018-PAR-0689|
|2-2-2018| MH2018-PAR-0690|
|2-2-2018| MH2018-OMC-0691|
|1-2-2018| UP2018-OMC-2461|
|1-2-2018| UP2018-FPR-2462|
|3-2-2018| UP2018-PAR-2463|
|1-2-2018| UP2018-OMC-2462|

Let's say 20 such records are generated in each state every month and there are 37 different state codes and 8 different category codecodes. I want to create a list of all possible Applicant's codes for next month which should be 37 x 1 x 8 x 20 possible values. I need guidance on how to code it with python and also if my approach is correct.

I have a df which has a serial number generated with each new record. The serial number combines with some other part like state code, year of registration and category code. So it has a format like below: | DOR | Applicant's code | |:---- |:------:| |1-2-2018| MH2018-PAR-0689| |1-2-2018| MH2018-PAR-0689| |2-2-2018| MH2018-PAR-0690| |2-2-2018| MH2018-OMC-0691| |1-2-2018| UP2018-OMC-2461| |1-2-2018| UP2018-FPR-2462| |3-2-2018| UP2018-PAR-2463| |1-2-2018| UP2018-OMC-2462| Lets say 20 such records are generated in each state every month and there are 37 different state codes and 8 different category code. I want to create a list of all possible Applicant's codes for next month which should be 37 x 1 x 8 x 20 possible values. I need guidance on how to code it with python and also if my approach is correct.

I have a df which has a serial number generated with each new record. The serial number combines with some other part like state code, year of registration and category code. So it has a format like below:

| DOR    | Applicant's code |
|:-------|:--------------:|
|1-2-2018| MH2018-PAR-0689|
|1-2-2018| MH2018-PAR-0689|
|2-2-2018| MH2018-PAR-0690|
|2-2-2018| MH2018-OMC-0691|
|1-2-2018| UP2018-OMC-2461|
|1-2-2018| UP2018-FPR-2462|
|3-2-2018| UP2018-PAR-2463|
|1-2-2018| UP2018-OMC-2462|

Let's say 20 such records are generated in each state every month and there are 37 different state codes and 8 different category codes. I want to create a list of all possible Applicant's codes for next month which should be 37 x 1 x 8 x 20 possible values. I need guidance on how to code it with python and also if my approach is correct.

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how is validator created in python and what are most popular libraries / modules to learn first

I have a df which has a serial number generated with each new record. The serial number combines with some other part like state code, year of registration and category code. So it has a format like below: | DOR | Applicant's code | |:---- |:------:| |1-2-2018| MH2018-PAR-0689| |1-2-2018| MH2018-PAR-0689| |2-2-2018| MH2018-PAR-0690| |2-2-2018| MH2018-OMC-0691| |1-2-2018| UP2018-OMC-2461| |1-2-2018| UP2018-FPR-2462| |3-2-2018| UP2018-PAR-2463| |1-2-2018| UP2018-OMC-2462| Lets say 20 such records are generated in each state every month and there are 37 different state codes and 8 different category code. I want to create a list of all possible Applicant's codes for next month which should be 37 x 1 x 8 x 20 possible values. I need guidance on how to code it with python and also if my approach is correct.