Q: Loop over multiple .csv files python/pandas I have two folders that contain +50 .csv files, I want to process al those files in my python code with pandas. At the beginning of my code I load two different .csv files: 
Location1 = path\tasks_01.csv'          
Location2 = path\resource_01.csv'          

dftask = pd.read_csv(Location1)
dfresource = pd.read_csv(Location2)

In the middle I do all kind of different operations to structure the data etc. At the end I save both .csv files to a new .csv file: 
dftask.to_csv(path\tasks_new.csv')
dfresource.to_csv(path\resource_new.csv')

Since I have two folders, one containts the task.csv files and the other the resource.csv files how can I edit my code in such a way I can loop over all those files? And save them under their original name? 
Hope you can help me out! 

A: Create a list of files in each folder and then zip through both of them.
import os

files_in_folder_1 = [os.path.join(path1, f) for f in os.listdir(path1) if os.path.isfile(os.path.join(path1, f))]

files_in_folder_2 = [os.path.join(path2, f) for f in os.listdir(path2) if os.path.isfile(os.path.join(path2, f))]

for file1, file2 in zip(files_in_folder_1, files_in_folder_2):
    with open(file1) as f1, open(file2) as f2:
        ...

