Add a NB that reads an entire directory's worth of csv files into the dataframe

By providing a list manually:

# Read CSV files from List
df = pd.concat(map(pd.read_csv, ['d1.csv', 'd2.csv','d3.csv']))

Programmatically:

# Import libraries
import glob
import pandas as pd

# Get CSV files list from a folder
path = '/apps/data_csv_files'
csv_files = glob.glob(path + "/*.csv")

# Read each CSV file into DataFrame
# This creates a list of dataframes
df_list = (pd.read_csv(file) for file in csv_files)

# Concatenate all DataFrames
big_df   = pd.concat(df_list, ignore_index=True)