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the csv (comma-separated values) format is a popular way to store and exchange tabular data. python provides a built-in csv module that simplifies the process of reading from and writing to csv files. in this tutorial, we'll explore the basics of the python csv library, including reading from and writing to csv files, handling headers, and working with different delimiter options.
to read data from a csv file, you can use the csv.reader class provided by the csv module. here's a simple example:
in this example, we open the csv file in read mode ('r'), create a csv.reader object, and iterate through each row and column in the file.
to write data to a csv file, you can use the csv.writer class. here's an example:
in this example, we open the csv file in write mode ('w') and create a csv.writer object. we then use the writerows method to write the entire list of rows to the file.
csv files often contain headers that describe the columns. you can use the csv.dictreader and csv.dictwriter classes to read and write csv files with headers, treating each row as a dictionary.
the csv module supports custom delimiters, not just commas. you can specify a different delimiter when creating csv.reader or csv.writer objects.

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