To get started with Python for data science, first, install Python and a code editor like Jupyter Notebook or VS Code. Familiarize yourself with Python basics through online courses or tutorials. Next, learn key libraries: NumPy for numerical data, Pandas for data manipulation, Matplotlib and Seaborn for visualization, and Scikit-learn for machine learning. Practice by working on datasets from platforms like Kaggle or UCI Machine Learning Repository. Join online communities, such as forums or social media groups, to share knowledge and ask questions. Finally, build projects to apply your skills and deepen your understanding.
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