In this blog post, we will discuss how to read a CSV file in Python using the pandas library’s `read_csv()` function. We will also provide an example code snippet that shows how to use the `read_csv()` function with a sample dataset.

To read a CSV file using pandas read_csv function in Python, you need to follow these steps:

1. Import the pandas library:

2. Use the `read_csv()` function with the file name as parameter to read the CSV file:

3. The `pd.read_csv()` function will return a pandas DataFrame object. You can use the `head()` function to see the first five rows of the DataFrame:

Here is an example code snippet that shows how to read a CSV file in Python using pandas read_csv function:

This will read the `example.csv` file and print the first five rows of the dataset.

The code snippet provided shows how to read a CSV file in Python using the pandas read_csv function. It imports the pandas library, uses the `read_csv()` function with the filename as parameter and prints out the first five rows of data from that dataset.