[IntroRemoteDS-pre] Accessing Data in L3_DataPreparation Notebook is different from Course Script

[Valerio Maggio]

Description

In current version of the notebook, the data is accessed directly from GitHub:

#Load data 
import pandas as pd 

raw_data = pd.read_csv("https://raw.githubusercontent.com/OpenMined/PySyft/dev/notebooks/course3/dataset/L3_data.csv")

whereas the snippet shown in the C3L3C2 - Data Acquisition! is:

# Load data
import pandas as pd
raw_data = pd.read_csv("dataset/L3_raw_data.csv")
raw_data.head()

I do appreciate opening the data from GitHub (esp. if running the notebook in Colab) but it's a bit pointless if running the code from local Jupyter.

Therefore, I resorted changing my own notebook replacing with the following line:

# Load data

import pandas as pd
from pathlib import Path 
from os import path as p

BASE_FOLDER = Path(p.abspath(p.curdir))
DATA_FOLDER = BASE_FOLDER / "dataset"
if DATA_FOLDER.exists():
    datafile_ref = DATA_FOLDER / "L3_raw_data.csv"
else:
    datafile_ref = "https://raw.githubusercontent.com/OpenMined/PySyft/dev/notebooks/course3/dataset/L3_data.csv"

raw_data = pd.read_csv(datafile_ref)

Are you interested in working on this improvement yourself?

• Yes, I am.

That's just a suggestion.
Feel free to close and reject the issue, if you'd prefer keep it otherwise :)