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the csv module in python provides functionality to work with comma separated values (csv) files. csv files are commonly used for data storage and exchange because of their simplicity and wide compatibility. this tutorial will guide you through the process of reading data from a csv file and converting it into a dictionary using python's csv module.
before we start working with csv files, we need to import the csv module:
the csv.dictreader class provided by the csv module allows us to read csv files directly into dictionaries. each row in the csv file becomes a dictionary where the keys are taken from the first row (usually containing column headers), and the values are taken from the subsequent rows.
here's a simple example demonstrating how to read a csv file into a list of dictionaries:
in this example:
once the csv data is read into a list of dictionaries, you can access and manipulate the data just like any other dictionary in python.
for example, let's assume we have a csv file named data.csv with the following content:
after reading this csv file into a list of dictionaries using the csv_to_dict function, you can access individual data points like this:
in this tutorial, you've learned how to use python's csv module to read csv files into dictionaries. this method is particularly useful when dealing with structured data stored in csv format, as it provides a convenient way to access and manipulate the data.
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