Getting Started with Pandas for Data Analysis

Pandas is a powerful Python library for data manipulation and analysis. It provides data structures like DataFrames and Series that make working with structured data intuitive and efficient. Key features of Pandas include: 1. Data cleaning and preprocessing 2. Data transformation and aggregation 3. Handling missing data 4. Reading and writing data from various formats 5. Time series functionality To get started with Pandas, you'll first need to install it using pip: ``` pip install pandas ``` Then you can import it in your Python script: ``` import pandas as pd ``` This tutorial will cover the basics of creating DataFrames, reading data from files, and performing common data manipulation tasks.