Read specific data from multiple files in different directories python

Title: Reading Specific Data from Multiple Files in Different Directories Using Python
Introduction:
In many data analysis and processing tasks, it's common to have data distributed across multiple files in different directories. Python provides powerful tools and libraries to efficiently read and extract specific data from these files. In this tutorial, we will explore how to achieve this using Python, focusing on common scenarios such as reading CSV files from various directories and extracting relevant information.
Requirements:
Before getting started, make sure you have Python installed on your system. Additionally, you may need to install the pandas library, which is a powerful data manipulation and analysis library in Python. You can install it using the following command:
Code Example:
Let's consider a scenario where we have multiple CSV files containing sales data, and each file is located in a different directory. We want to read specific columns from each file and consolidate the data into a single dataframe.
Explanation:
Feel free to modify the code according to your specific requirements, such as changing the file extension, columns to read, or the root directory path.
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