Tim Baumgärtner timbmg

## pull_from_google_sheets_to_dataframe.py
import io
import requests
import pandas as pd

url = "https://docs.google.com/spreadsheets/d/<doc-id>/export?format=xlsx"
response = requests.get(url)
df = pd.read_excel(io.BytesIO(response.content), sheet_name="Sheet1")

## pyproject.toml
[tool.poetry]
name = "test"
version = "0.1.0"
description = ""
authors = ["Your Name <you@example.com>"]

[tool.poetry.dependencies]
python = "^3.7"

[tool.poetry.dev-dependencies]

## Functional Groups MNIST EMNIST.ipynb

      
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                timbmg
                / Functional Groups MNIST EMNIST.ipynb
            
            
              Last active
              November 10, 2018 13:39
            
              
                Functional Groups MNIST EMNIST.ipynb
              
          
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## dynamic_minibatching_pytorch.py
import random
import torch
import numpy as np
from torch.utils.data import Dataset, DataLoader

class DemoDataset(Dataset):
    def __init__(self):
        super().__init__()

    def __getitem__(self, idx):
	import io
	import requests
	import pandas as pd

	url = "https://docs.google.com/spreadsheets/d/<doc-id>/export?format=xlsx"
	response = requests.get(url)
	df = pd.read_excel(io.BytesIO(response.content), sheet_name="Sheet1")
	[tool.poetry]
	name = "test"
	version = "0.1.0"
	description = ""
	authors = ["Your Name <you@example.com>"]

	[tool.poetry.dependencies]
	python = "^3.7"

	[tool.poetry.dev-dependencies]
	import random
	import torch
	import numpy as np
	from torch.utils.data import Dataset, DataLoader

	class DemoDataset(Dataset):
	def __init__(self):
	super().__init__()

	def __getitem__(self, idx):