file_name = 'file_name.csv'
tickers_info = pd.read_csv(file_name,
sep = ",", # ',' for csv file and '\t' for text file
header = 0, # row number used as head
usecols=[1, 2], # column index to be included
index_col = [0], # column index which apdated above
engine='c') # c engine is faster than python
tickers_info = pd.read_csv(file_name, sep = ",", header = 0, usecols=[1, 2], index_col = [0], engine='c')
combine all .csv files within a file_path
import glob
import pandas as pd
file_list = glob.glob(file_path + file_type)
data_combined = pd.concat([pd.read_csv(file) for file in file_list])