📚 Essential Python Libraries for Data Science

Python’s power in Data Science comes from its extensive ecosystem of libraries:

• Pandas – Essential for handling structured data, data frames, and cleaning datasets.
• NumPy – Efficient numerical computing and array manipulation.
• Matplotlib & Seaborn – Powerful tools for data visualization.
• Scikit-learn – The standard ML library for classification, regression, and clustering.
• TensorFlow & PyTorch – Deep learning frameworks for neural networks.