bmg | Bmg , Alf 's successor , A Ruby Relational Algebra | SQL Database library

So my example is, I'm writing a Discord bot so that when I type a command in chat it will return the corresponding value.

Now I'm starting off with ammo for this game, the problem being there is a fair few different types of ammo in the game. Since I am new to coding and Python I wanted to get into the habit of separating them into different .py files so my codes isn't all messed and i can jump between them easily and keep track of everything down the line.

In my main file there isn't anything but import shotgun_1, shotgun_2. What I noticed, though, is that only shotgun_1 commands will be recognized; shotgun_2 doesn't work.

If I remove shotgun_1 and have only import shotgun_2 then the shotgun_2 code will work and send in the chat "HI!". If i remove shotgun_2 and only use shotgun_1 then the commands of shotgun_1 work.

Is there a way to somehow link these two files so they execute the same time?

I am new to xml and xslt . U have the following XML file

i need some help with add information to table in xsl inside for-each loop.

i want to add Link to Wikipedia for every row in table, link for each album, but im in "for-each" loop.

look for my question in section code in "a href...." tag.

for now all the links is to "Empire Burlesque".

i think its very simple, but how i do this? Thank you very much for your help

XML Code:

i need some help with sum function in xsl.

first of all i split to 3 tables for 3 countrys i have in XML.

now i add a row in each table and for each table i need use "sum function" and calculate the sum of all prices, here is my code for now, what im doing wrong? I would be happy for help from you, thx.

XML:

I have two dataframes: bmg and etext.

To improve the recomender system for Buyer Material Groups, our company is willing to train a model using customer historial spend data. The model should be trained on historical "Short text descriptions" to predict the appropriate BMG. The dataset has more that 500.000 rows and the text descriptions are multilingual (up to 40 characters).

1.Question: can i use supervised learning if i consider the fact that the descriptions are in multiple languages? If Yes, are classic approaches like multinomial naive bayes or SVM suitable?

2.Question: if i want to improve the first model in case it is not performing well, and use unsupervised multilingual emdedding to build a classifier. how can i train this classifier on the numerical labels later?

if you have other ideas or approaches please feel free :). (It is a matter of a simple text classification problem)

I am trying to get heart points from google fit REST API. I see that heart rate data in google fit app (110 bmg) but i am getting empty data through the API.

API: https://www.googleapis.com/fitness/v1/users/me/dataset:aggregate

BODY:

I am trying to run a script file which contains creation of temp table, load the data, creation of test table, merge the data and delete the table in BigQuery. Intial 3 commands is working fine but MERGE command is not working.

I need a help with a function that returns array with matched objects based on user input.

We enter value and search only inside this keys 1. title.label 2. ['im:artist'].label

ES6 solution highly appriciated :-)

Thanks in advance.