Reading csv files with csv dictreader in python

sure! reading csv files in python can be easily done using the `csv` module, specifically `dictreader` which allows you to read csv files into dictionaries. this is useful when you want to access the data in each row by column name instead of index.

here's a step-by-step tutorial on how to read a csv file using `dictreader`:

1. import the `csv` module:

2. open the csv file using `open()` function and create a `dictreader` object:

3. you can now iterate over each row in the csv file. each row will be a dictionary where the keys are the column headers and the values are the corresponding cell values:

4. if you want to access specific columns in each row, you can do so by using the column name as the key in the dictionary:

replace `'column_name'` with the actual column name from your csv file.

and here's an example code snippet to read this csv file using `dictreader`:

when you run this code, it will output:

this is how you can read csv files using `dictreader` in python!

...

#python dictreader get keys
#python dictreader
#python dictreader fieldnames
#python dictreader tab delimited
#python dictreader skip header

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