Скачать или смотреть How To Load Specific CSV Columns With Pandas? - Python Code School

How To Load Specific CSV Columns With Pandas? Are you working with large CSV files and want to improve your data processing efficiency? In this video, we’ll show you how to load only the specific columns you need from a CSV file using Pandas, a popular Python library for data analysis. We will explain how to select columns by their names or by their position in the file, helping you save memory and speed up your workflow. You’ll learn how to use the 'usecols' parameter in the read_csv function to load just the relevant parts of your dataset, making your analysis more streamlined. We’ll also demonstrate how to access individual columns in your DataFrame and convert them into lists for easier manipulation. Whether you’re working with sales data, customer information, or any large dataset, this technique helps you keep your workspace clean and your code efficient. Understanding how to load only the necessary data is a key step in working smart with big datasets in Python. Join us to discover simple methods for optimizing your data loading process and improve your overall data analysis skills. Don’t forget to subscribe for more tutorials on Python programming and data analysis!

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About Us: Welcome to Python Code School! Our channel is dedicated to teaching you the essentials of Python programming. Whether you're just starting out or looking to refine your skills, we cover a range of topics including Python basics for beginners, data types, functions, loops, conditionals, and object-oriented programming. You'll also find tutorials on using Python for data analysis with libraries like Pandas and NumPy, scripting, web development, and automation projects.