ODO | Operations & Design Optimization for Networked Microgrids

I have an DB like

$sql = "SELECT vin FROM cars GROUP BY vin HAVING COUNT(*) > 1 ORDER BY vin"; return me a vins thats is more then one time but i need to get a vin with different ODO value like 111 and 666

I have to send data from csv into SQL DB. Problem starts when I try to convert data into Int. It wasnt my idea and I really cant do much with this datatype. When I'm trying to achieve this problem pop up:

Data Conversion 2: Data conversion failed while converting column "pr_czas" (387) to column "C pr_dCz_id" (14). The conversion returned status value 2 and status text "The value could not be converted because of a potential loss of data.".

Tried already to ignore this problem but then another problems came up so there is no other way than solving this.

I have to convert this data from csv file which is str 50 into int 4

It must be int4. One of the requirements Dont know what t odo.

This is data I'm trying to put into int4. Look on pr_czas

This is data's datatype

Before I tried to do same thing with just DD.MM.YYYY but got same result...

Is it possible for a function to return a specific Data Type based on the parameter entered?

Here's an example of what I'm trying to do:

I've defined different datatypes that will hold data from an API call

I have a script that I am trying to execute. I need the script to, on the press of the submit button:

1. fetch values from Google firestore
2. Use those values in a calculation
3. use the result of this calculation to write back to the firestore database

I have put console.log("eff[1,2,3]" + result of calculation) to help trace in the console log the order of execution. It first displays eff3 then eff1 then eff2 so this means that the value submitted to firestore is zero (as it is before the calculation) The calculation does calculate the correct answer it just doesn't submit the answer to the database.

How do I change my code to have it execute in the right order?

I'm trying to classify texts into categories. I've developed the code which does this, but kfold sample sizes differ on Spyder and Pycharm, even though the code is exactly the same.

This is the code:

I've made a function for clustering my json data on map like this: it's located in a js file called functions.js

I wrote a code for getting data from server and show it on map. it's been working fine till I changed the map codes to add LayerGroup(). I have my map function in a seperate file named: app.js, clustering function in functions.js. I wanted to use different types of map (layer control). and also, the clustering function should work whenever the "show on map" button is clicked. My map code now:

Created a new compute instance in Azure ML and trained a model with out any issue. I wanted to draw a pairplot using seaborn but I keep getting the error "ImportError: No module named seaborn"

I ran !conda list and I can see seaborn in the list

I extract some values from excel sheet as list. list = [cap-0101-01010, ture-adb-0111-110, bean-KG-0101-2020, fire-Good-2020191, good-9092929, memory-2020939-KGY, excute-odo-2020393, .... , ending-doo-9090922]

If there is matched string in the list with specific string(ex: XY CUTE BGN-excute-odo-2020393), then return excute-odo-2020393 in the list.

Here is my code, but it is not working.