Hello I've followed these steps:
on my code folder
pip install recurly
Create code:
import recurly
from recurly import Account
recurly.SUBDOMAIN = 'mi-domain'
recurly.API_KEY = 'abdcdddd1d7445fba86b5ca35eef00d5'
recurly.DEFAULT_CURRENCY = 'USD'
account = Account.get('id45')
account.delete()
and when I try to execute code above
I get
ImportError: cannot import name Account
Why is it that imports recurly with no problem but cannot import resources?
You'll have to call recurly.Account.get('id45') to get the account you'd like. You can find an example with correct syntax here: https://github.com/recurly/recurly-js-examples/blob/master/api/python/app.py#L70
Related
import streamlit as st
import pandas as pd
import numpy as np
import requests
import tweepy
import config
import psycopg2
import psycopg2.extras
import plotly.graph_objects as go
auth = tweepy.OAuthHandler(config.TWITTER_CONSUMER_KEY,
config.TWITTER_CONSUMER_SECRET)
auth.set_access_token(config.TWITTER_ACCESS_TOKEN,
config.TWITTER_ACCESS_TOKEN_SECRET)
api = tweepy.API(auth)
Problem with my code, it is not running with the twitter key. The module has no attributes
The config module that you are attempting to import and read off of is not what you want.
TWITTER_CONSUMER_KEY and TWITTER_CONSUMER_SECRET are not constants that you can get from a module. These are values that you must input yourself. There is perhaps a piece of code missing at the start of your application that looks like this:
config = {
'TWITTER_CONSUMER_KEY': 'ENTER YOUR TWITTER CONSUMER KEY',
'TWITTER_CONSUMER_SECRET': 'ENTER YOUR TWITTER CONSUMER SECRET'
}
Take a look at this article for more help. Goodluck!
Getting error "Please set the default workspace with MLClient". How do I set the default workspace with MLClient? Trying to use data asset
https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-register-data-assets?tabs=Python-SDK
from azure.ai.ml.entities import Data
from azure.ai.ml.constants import AssetTypes
from azure.ai.ml import MLClient
#Enter details of your AzureML workspace
subscription_id = "<SUBSCRIPTION_ID>"
resource_group = "<RESOURCE_GROUP>"
workspace = "<AZUREML_WORKSPACE_NAME>"
ml_client = MLClient(subscription_id, resource_group, workspace)
data_location='path'
my_data = Data(
path=data_loacation,
type=AssetTypes.URI_FOLDER,
description="Data",
name="Data_test")
ml_client.data.create_or_update(my_data)
Getting error "Please set the default workspace with MLClient". How do I set the default workspace with MLClient?
Make sure you have installed Python SDK azure-ai-ml v2(preview) using pip install --pre azure-ai-ml
You can try following code snippets taken from workspace.ipynb to set the default workspace with MLClient:
Import required libraries:
from azure.ai.ml import MLClient
from azure.ai.ml.entities import Workspace
from azure.identity import DefaultAzureCredential
ml_client = MLClient(DefaultAzureCredential(), subscription_id, resource_group)
Creating a unique workspace name with current datetime to avoid conflicts:
import datetime
basic_workspace_name = "mlw-basic-prod-" + datetime.datetime.now().strftime(
"%Y%m%d%H%M"
)
ws_basic = Workspace(
name=basic_workspace_name,
location="eastus",
display_name="Basic workspace-example",
description="This example shows how to create a basic workspace",
hbi_workspace=False,
tags=dict(purpose="demo"),
)
ml_client.workspaces.begin_create(ws_basic)
Get a list of workspaces in a resource group:
for ws in my_ml_client.workspaces.list():
print(ws.name, ":", ws.location, ":", ws.description)
Load a specific workspace using parameters:
ws = MLClient(DefaultAzureCredential(), subscription_id='<SUBSCRIPTION_ID>', resource_group_name='<RESOURCE_GROUP>', workspace_name='<AML_WORKSPACE_NAME>')
I recommend to replace <SUBSCRIPTION_ID>, <RESOURCE_GROUP> and <AZUREML_WORKSPACE_NAME> with actual values.
If you do that, the MLClient constructor will set the workspace accordingly.
I have the following structure of the project:
I have folder modules. And I have file save_to.py
I need to import a model from bedienungsanleitung app. But when I try to do it, it gives an error
No module named 'manuals_project.bedienungsanleitung'
I try to do it the following way:
from manuals_project.bedienungsanleitung.models import Link
from .bedienungsanleitung.models import Link
from bedienungsanleitung.models import Link
from ..models import Link
What is the mistake? Can someone help me?
You may try:
from bedienungsanleitung.models import Link
from manuals_project.bedienungsanleitung.models import Link
I don't see that you have models under bedienungsanleitung. Did you mean to say
from manuals_project.models import Link
I am trying to connect to FXCM throuhg an api and am constantly getting an error:
|ERROR|2020-01-11 20:42:41,825|Socket returns an error: ('Connection aborted.', OSError("(10054, 'WSAECONNRESET')")).
The code is :
import fxcmpy
import pandas as pd
from pandas import datetime
from pandas import DataFrame as df
import matplotlib
from pandas_datareader import data as web
import matplotlib.pyplot as plt
import datetime
from datetime import date
import numpy as np
TOKEN = "hidden"
con = fxcmpy.fxcmpy(access_token=TOKEN, log_level='error')
I have been using this for a while now but error suddenly showed up today. How can i fix this?
I got the same problem. I got an email from api#fxcm.com below.
"We did a release on demo on 1/12 to improve the Rest API.
With that said, Our REST API wrapper fxcmpy has been updated, you need to install the latest fxcmpy version at 1.2.6.
Here is the link where you can find the library: https://pypi.org/project/fxcmpy/#files
Please have in mind that just with pip install fxcmpy it might not work as it won’t update the library, please use below command."
pip install –U fxcmpy
i want to publish an update on bufferapp.com with python.
I installed the python buffer modul: https://github.com/bufferapp/buffer-python
I managed to connect to their api with python3.
But if i use the update.publish() command it gives me the following error:
nameerror: "update" is not defined.
Im using this code:
from pprint import pprint as pp
from colorama import Fore
from buffpy.models.update import Update
from buffpy.managers.profiles import Profiles
from buffpy.managers.updates import Updates
from buffpy.api import API
token = 'awesome_token'
api = API(client_id='client_id',
client_secret='client_secret',
access_token=token)
# publish now
update.publish()
What am i doing wrong?
Thank you for your help.