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Is there a way to access DriveItems via the Microsoft Graph API for python?

I'm writing a python application requiring that I download a folder from OneDrive. I understand that there was a package called onedrivesdk in the past for doing this, but it has since been deprecated and it is now recommended that the Microsoft Graph API be used to access OneDrive files (https://pypi.org/project/onedrivesdk/). It is my understanding that this requires somehow producing a DriveItem object referring to the target folder.
I was able to access the folder via GraphClient in msgraph.core :
from azure.identity import DeviceCodeCredential
from msgraph.core import GraphClient
import configparser
config = configparser.ConfigParser()
config.read(['config.cfg'])
azure_settings = config['azure']
scopes = azure_settings['graphUserScopes'].split(' ')
device_code_credential = DeviceCodeCredential(azure_settings['clientId'], tenant_id=azure_settings['tenantId'])
client = GraphClient(credential=device_code_credential, scopes=scopes)
import json
endpoint = '/me/drive/root:/Desktop'
x = client.get(endpoint)
x is the requests.models.Response object referring to the target folder (Desktop). I don't know how to extract from x a DriveItem or otherwise iterate over its contents programmatically. How can I do this?
Thanks

Name error when trying to import API key from .env

I am trying to store my API Keys in a .env file
I created the file as a File containing settings for editor file type. Stored my APIKeys
TWILIO_ACCOUNT_SID=***
TWILIO_AUTH_TOKEN=***
TWIML_APPLICATION_SID=***
TWILIO_API_KEY=***
TWILIO_API_SECRET=***
Installed decouple, imported and used config to retrieve my API tokens in my settings.py file
from decouple import config
...
TWILIO_ACCOUNT_SID = config(TWILIO_ACCOUNT_SID)
TWILIO_AUTH_TOKEN = config(TWILIO_AUTH_TOKEN)
TWIML_APPLICATION_SID = config(TWIML_APPLICATION_SID)
TWILIO_API_KEY = config(TWILIO_API_KEY)
TWILIO_API_SECRET = config(TWILIO_API_SECRET)
I am however getting the error message:
TWILIO_ACCOUNT_SID = config(TWILIO_ACCOUNT_SID)
NameError: name 'TWILIO_ACCOUNT_SID' is not defined

You don't need to use the decouple library to read your environment variables.
Firstly download the .env plug-in supporter for PyCharm (if that's what you're using)
https://www.codestudyblog.com/cs2112pyc/1224021812.html
This will allow you to set and get variables from your file. Make sure your configuration has the correct .env file set.
my .env file has the variable set to:
TWILIO_ACCOUNT_SID=SUPER SECRET KEY
Then all you need to is:
import os
twilio_key = os.environ.get('TWILIO_ACCOUNT_SID')
print(twilio_key)
>>>SUPER SECRET KEY
Process finished with exit code 0

Using python Gspread Oauth with credentials file saved somewhere other than in the directory specified in gspread documentation

The instructions for authentication can be found here: https://gspread.readthedocs.io/en/latest/oauth2.html#for-end-users-using-oauth-client-id
Step 7 in the authentication sequence says:
"Move the downloaded file to ~/.config/gspread/credentials.json. Windows users should put this file to %APPDATA%\gspread\credentials.json"
Is anyone aware of a way to keep the credentials.json file somewhere else and use it to authorize gpread?
Alternatively I have thought about using shutil.move to grab the json file move it to the desired location but need to be able to do that without making assumptions about the whereabout of the python library or even if it is on a windows or unix machine. Any environmental variables that would reveal location of certain libraries?I could do something like this:
import gspread, os, shutil
loc = gspread.__location__
cred_path = os.path.join(loc, "credentials.json")
if not os.path.isfile(cred_path):
shutil.move(input("Enter creds path:"), cred_path)

Found the solution to my own question. This function will set all the relevant environmental variables to your directory of choice where the credentials.json file should be kept (and the authorized_user.json file.):
import gspread.auth as ga
def gspread_paths(dir):
ga.DEFAULT_CONFIG_DIR = dir
ga.DEFAULT_CREDENTIALS_FILENAME = os.path.join(
ga.DEFAULT_CONFIG_DIR, 'credentials.json')
ga.DEFAULT_AUTHORIZED_USER_FILENAME = os.path.join(
ga.DEFAULT_CONFIG_DIR, 'authorized_user.json')
ga.DEFAULT_SERVICE_ACCOUNT_FILENAME = os.path.join(
ga.DEFAULT_CONFIG_DIR, 'service_account.json')
ga.load_credentials.__defaults__ = (ga.DEFAULT_AUTHORIZED_USER_FILENAME,)
ga.store_credentials.__defaults__ = (ga.DEFAULT_AUTHORIZED_USER_FILENAME, 'token')
EDIT: Recently there was a merged pull request that added this functionality to gspread: https://github.com/burnash/gspread/pull/847

How can i set up credentials as an environmental variable in windows?

I'm currently working on an academic project in my university and im trying to access IEX Cloud API (iexfinance) for financial data extraction using python but i keep running into an authentication error.
When i checked the documentation of the package it recommends to set Secret Authentication Key as an environmental variable using 'IEX_TOKEN' to authenticate my request which i dont know how to do.
Also, i should note that i'm very new to the world of programming so thank you in advance for any assistance.
Here's a snippet of the script i use:
tickerSymbol = input("Ticker Symbol: ")
companyInfo = Stock(tickerSymbol)
stockPrice = companyInfo.get_price()
start = datetime(sy,sm,sd)
end = datetime(ey, em,ed)
historicalPrices = get_historical_intraday(tickerSymbol, start, end)
stockHistoricals = pd.DataFrame(historicalPrices).T

Assuming you know the secret authentication key. Try:
#import os module in first line of your code
import os
#set the env vairable in 2nd line
os.environ['IEX_TOKEN'] = 'TheSecretAuthenticationKey'
#other imports
...
...
...
...
#remaining code

Kaggle in Jupyter

I'm trying to link my kaggle project to Google Cloud Platform but I can't seem to get it done even after I followed: https://cloud.google.com/docs/authentication/getting-started
I still get this error:
DefaultCredentialsError: File /C:/Users/Jirah Marie Navarro/kagglebqtest-2999bd391350.json was not found.
This is my code:
# Replace 'kaggle-competitions-project' with YOUR OWN project id here --
PROJECT_ID = 'kagglebqtest'
from google.cloud import bigquery
client = bigquery.Client(project=PROJECT_ID, location="US")
dataset = client.create_dataset('bqml_example', exists_ok=True)
from google.cloud.bigquery import magics
from kaggle.gcp import KaggleKernelCredentials
magics.context.credentials = KaggleKernelCredentials()
magics.context.project = PROJECT_ID
# create a reference to our table
table = client.get_table("kaggle-competition-datasets.geotab_intersection_congestion.train")
# look at five rows from our dataset
client.list_rows(table, max_results=5).to_dataframe()

Seems that the GOOGLE_APPLICATION_CREDENTIALS environment variable is not set correctly.
I suggest you to verify that the 'kagglebqtest-2999bd391350.json' file is in the path 'C:/Users/Jirah Marie Navarro/'.
I recommend you also to use a path without spaces such as 'C:/' or 'C:/credentials/' maybe the JSON credential is not recognized for the spaces in your path, so you can try with something like:
$env:GOOGLE_APPLICATION_CREDENTIALS="C:\credentials/kagglebqtest-2999bd391350.json"