Household | Simple Crud using C # Application and Ms Access | Generator Utils library

I face the following problem with GEKKO: some parameters (.Param) are changing (others not) when solving a model and I cannot determine why.

Background: I am currently trying to translate code from EViews (see gennaro.zezza.it) to python. I use GEKKO to simulate a system consisting out of 11 equations (for now). I do want to use parameters (instead of constants which seem to work perfectly fine) as I need to ('exogenously') change their value over time (and thus need an array).

Example: In the following example, an 'economic system' reacts to new government expenditures. Here, I particularly face problems with "m.alpha1" and "m.alpha2" - if they are introduced as ".Param" their value will change to 1.0 (instead of 0.6 and 0.4) when solving the model. How can I stop GEKKO from doing this? (Again, I want to be able to change, e.g., alpha1 to 0.7 after time x. E.g., lower and upper bounds won't help here.)

Thanks for your help!!

Code:

I made a program that's supposed to record people in my household talking for 1 minute. I think my code has successfully (though messily) been able to save the *.wav file and classifying the recording on gender. The male recordings are supposed to be saved in the male_voices folder and the female recording are supposed to be saved in the female_voices folder.

My question is: I have searched and couldn't seem to find a way to save these recordings to a specific file path. As you can see I tried using

I have a dataset where some rows contain an accent character and this isn't getting picked up by my code correctly. I did some googling and someone suggested using a ` but this didn't work.

nb. I'm using Jupyter notebook

Here is the code I'm trying to run and the special character can be seen in it;

I'm using a dataset that has a lot of rows but I only want to keep rows based on their value in col A. Here is a snippet of my table;

I need to daily ingest a CSV file into a pandas dataframe. The CSV has several thousand rows but every day I get a few records with more columns than expected. Let me give you an example. Take the following CSV:

PostgreSQL database name is contacts_contact and the column I'm interested in is called "fields"

'fields' column looks like this in my database:

I have a data frame named df with three variables. In my data, an identical ID number indicates that these people are of the same household. In column age Those who are 15 years old or older are parents (father or mother) and those who are under 15 are children. What I want is to link a child (Regardless of their gender) to only their mother (gender=2) based on mothers' age and finally count this child. In other words, I want to know how many children there are based on the age of their mothers. my expected output would be like df1 that columns 0,1,2,3 show the age of child. thank you in advance.

I have a data set like below

I would like to use a Spanish household survey from Instituto Nacional de Estadística (INE) for a research project. The data comes in a text file, where the answers of the survey are stuck in a continuum of numbers, with an auxiliary file that tells you from digit 1 to 5 it corresponds to variable, from 6 to 8 to variable 2, etc. This file is also a text file.

Is there a way making use of this auxiliary file in the import of the data instead of manually telling R, Stata, etc how to delimit the columns?

The auxiliary file looks like this:

Where the first columns is the variable name, the second column the number of digits the variable has and in the third column which position is the variable situated in the data text file, which looks like this: