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sure, here's a tutorial on how to read csv files in python with code examples:
comma separated values (csv) files are a common way to store tabular data. python provides built-in libraries to handle csv files effortlessly. in this tutorial, we'll explore how to read csv files using python's csv module.
first, you need to import the csv module. this module provides functions to handle csv files.
to read data from a csv file, you need to open it using the open() function and then create a csv.reader object.
replace 'example.csv' with the path to your csv file.
once the csv file is opened, you can iterate over the csv_reader object to access its rows.
this will print each row of the csv file as a list of values.
by default, the csv.reader uses a comma (,) as the delimiter and double quotes (") as the quote character. however, you can specify different delimiter and quote characters if needed.
if your csv file has headers (column names), you can skip them using the next() function before iterating over the rows.
here's a complete example combining all the steps:
replace 'example.csv' with the path to your csv file.
reading csv files in python is straightforward with the csv module. by following this tutorial, you can easily extract data from csv files and process it in your python programs.
feel free to adjust the code according to your specific requirements and csv file structure. happy coding!
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