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Jupyter Notebook is an open-source web application that enables users to create and share documents containing live code, equations, and visualizations, supporting over 40 programming languages. Its advanced version, JupyterLab, provides a more flexible environment, making both tools ideal for data science, machine learning, and scientific computing tasks across various industries and research fields.
Pandas is a fast and flexible Python library designed for efficient data manipulation, offering powerful tools like the DataFrame for handling structured data, reshaping, and handling missing values. It supports various data formats and excels in performance, making it widely used across industries for real-world data analysis.
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