Data Science is the process of using data to uncover patterns, trends, and insights to make better decisions. Data Science in Python means using the Python programming language to analyze, clean, and visualize data. Python is a popular choice for Data Science because it's easy to learn and has powerful libraries like Pandas, NumPy, Matplotlib, and Scikit-learn. These libraries help Data Analysts and Data Scientists work with data, perform complex calculations, and create visual reports. Python can handle tasks like data cleaning, statistical analysis, machine learning, and creating graphs.
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