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For CSV file operations, Python's built-in csv module is robust and user-friendly. ... You can then use the writer.writerow() method for each row of data you wish to write.

Python's built-in csv module is a straightforward way to read and write CSV files. Use the csv.reader() function to load the CSV file into a reader object, which allows you to iterate over the rows.

When run it produces: $ python csv1.py A : 1 B : 2 C D : 3 4 A : 5 B : 6 C D : 7 In addition, the csv module provides writer objects for writing CSV files. The following Python program converts our ...

This post will show you how to open CSV files in Python using the CSV module. You'll also learn another method + how to write CSV files!

This post explains how to write to a file in Python. You'll discover how to create word files (.docx), spreadsheets (.csv), text files, and more!

The problem I've noticed is that if I append the file with each of the 100k runs (one at a time), it can happen that two threads try to save to the file at the same time and some row(s) end up empty.