bos | Big Object Store - loads watches | Runtime Evironment library

Consider a data frame with 97 rows and 44 columns where i have three columns whose names are "Bostwick","mu_yield" , so i'm trying to create a new column called "Target" where if the "Bostwick" column values lie between "5.00 and 6.75" else if "mu_yield" column values lie between "89.00 and 90.00" , the "Target" column values should be 0 else it is 1

I tried the below way

I am working on a CNN Sentiment analysis machine learning model which uses the IMDb dataset provided by the Torchtext library. On one of my lines of code

vocab = Vocab(counter, min_freq = 1, specials=('\', '\', '\', '\'))

I am getting a TypeError for the min_freq argument even though I am certain that it is one of the accepted arguments for the function. I am also getting UserWarning Lambda function is not supported for pickle, please use regular python function or functools partial instead. Full code

I am struggling to get Windows to load the default WinUSB driver for my device. Please note that I am looking for a solution that is using BOS descriptor (and not the old 0xEE string index).

The device enumerates and Windows tells me that it is installing the device, but the WinUSB driver is not loaded. I have tried everything that I can think of, but still I can't get Windows to load the driver. I even uninstall the device and delete the USB flags in the registry whenever I re-try, but to no avail. Is there anyone who can help me to get this to work?

I don't want WebUSB capabilities or anything additional. This is a non-composite device.

This is my BOS descriptor (as sent over USB):

I'm working on one of the tutorial exercises "Bootcamp, Day 1"

Specifically, the problem says

Filter this Flights path to only: Flights between Delta Airlines hubs (ATL, JFK, LGA, BOS, DTW, MSP, SLC, SEA, LAX)

I know in SQL I would do something like:

just wondering what is the best way to filter out data from one object to another using an array

I want to move the entire rows within selected_city_codes from airport_data_1 to airport_data_2

I am trying to delete a row from an object if that row has the same values as the property I want to delete.

This is my attempt and it works, just wondering if there is a more efficient way

This is my attempt to transfer from a row of data from one object to another. I am wondering if there is a more efficient way to do it.

Elements within the list selected_city_codes would be the ones to be transferred from airport_data_2 to airport_data_1.

original data and attempt

My goal is to transfer a row of data from one object to another, where selected_city_codes would state which items to remove from airport_data_2 to airport_data_1 by using city_id

Not sure how to approach appending the data from airport_data_2 to airport_data_1 but I illustrated my result to removing the row from airport_data_2.

Is there a more efficient way to transfer data between two object?

I am looking for an easy, concise way to use dplyr::select without rearranging columns.

Consider this dataset: