How To Parse Data In Python?
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Parsing data in Python can be accomplished using the built-in csv library. The csv library provides the necessary tools and functions to read, write, and manipulate data in CSV format. To parse a CSV file, you can use the csv.reader() method, which returns a reader object that can be used to iterate over the rows in the CSV file. You can access each row of the file as a list of strings and access each field in the row as a separate string. You can then manipulate the data accordingly.
Other libraries such as pandas, xlrd, and openpyxl can also be used to parse data in Python. The pandas library provides a powerful data analysis toolkit, while the xlrd and openpyxl libraries allow you to work with Excel files.