Pandas is a powerful open-source data manipulation and analysis library for Python. While not a standalone tool, it is widely used by data analysts for data cleaning and preparation tasks.
Key Features
Advanced data manipulation capabilities
Data cleaning functions, such as handling missing values and duplicates
Integration with other Python libraries for data analysis and visualization
Supports data from various formats, including CSV, Excel, and SQL databases
Why It’s Great for Analysts
Pandas is highly flexible and powerful, allowing analysts to perform a wide range of data cleaning and manipulation tasks.
Its integration with other Python libraries makes it a versatile choice for analysts looking to perform end-to-end data analysis within the Python ecosystem.
