Python 3 Convert CSV

Title: A Step-by-Step Guide to Converting CSV Files in Python 3
Introduction:
CSV (Comma-Separated Values) is a popular file format for storing tabular data. Python provides a powerful and easy-to-use library called csv that simplifies the process of working with CSV files. In this tutorial, we will explore how to convert CSV files using Python 3, including reading, manipulating, and writing CSV data.
Prerequisites:
Step 1: Import the CSV Module:
To work with CSV files, you need to import the csv module in your Python script. This module provides functionality for both reading from and writing to CSV files.
Step 2: Reading CSV Files:
Step 3: Manipulating CSV Data:
You can perform various operations on the CSV data. For example, let's say you want to filter out rows that meet a specific condition. In this example, we'll print only the rows where the value in the second column is greater than 10.
Modify the condition based on your specific requirements.
Step 4: Writing CSV Files:
Conclusion:
Congratulations! You have successfully learned how to convert CSV files using Python 3. The csv module provides a flexible and convenient way to handle CSV data in your Python scripts. Feel free to explore additional features of the module, such as handling different delimiters, quoting, and more. Happy coding!
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