Pandas is a powerful tool for data manipulation, known for its ability to handle and analyze structured data efficiently. In this chapter, you'll look into the core functionalities that make Pandas essential for data scientists and analysts. Starting with data structures like Series and DataFrames, you'll learn how to perform important operations such as filtering, grouping, and merging datasets. We'll cover techniques for handling missing data, manipulating time series, and using vectorized operations to improve performance. By the end of this chapter, you'll have gained practical skills to clean, process, and transform data, preparing it for analysis or visualization.
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