What is pandas

Pandas is an open-source data analysis and manipulation library for Python, designed to work with structured data. It provides easy-to-use data structures, such as Series and DataFrame, that enable efficient handling of large datasets, making data cleaning, transformation, and analysis more intuitive and accessible. Pandas is widely used in data science, finance, economics, and various fields that require data manipulation.

Keywords: Pandas, DataFrame, Series, Data Analysis, Python, Data Manipulation, Open-source, Data Science
Description: Pandas is a powerful Python library for data analysis and manipulation, essential for data scientists and analysts working with structured datasets.
# Example of using pandas in Python import pandas as pd # Create a DataFrame data = { 'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [24, 27, 22] } df = pd.DataFrame(data) # Display the DataFrame print(df)

Keywords: Pandas DataFrame Series Data Analysis Python Data Manipulation Open-source Data Science

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