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How Do I Read A CSV File Using Python? In this video, we will guide you through the process of reading CSV files using Python, a skill that is essential for anyone looking to handle data efficiently. We’ll introduce you to two primary methods: the built-in csv module and the pandas library. Each method has its own advantages, making them suitable for various tasks.

We will start by showing you how to import the csv module and open a CSV file correctly. You’ll learn how to create a reader object to parse the file and access each row easily. If your CSV file includes headers, we’ll explain how to skip them, and if you prefer working with dictionaries, we’ll cover how to use csv.DictReader to map rows to keys.

For those who need to process larger datasets or require advanced data manipulation, we’ll walk you through using pandas, a powerful library that simplifies the reading of CSV files. We’ll also touch on practical tips for handling common issues, such as file paths, encoding errors, and performance considerations.

Whether you're preparing data for machine learning, automating reports, or integrating with APIs, this video will equip you with the knowledge to read CSV files effectively in Python. Make sure to subscribe to our channel for more helpful programming tutorials!

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