How can beginners start learning Python for data science?
Beginners can start learning Python for data science by first understanding basic programming concepts like variables, data types, loops, and functions. Next, they should explore libraries such as NumPy for numerical operations, pandas for data manipulation, and Matplotlib or Seaborn for data visualization. Practicing small projects and solving real-world problems can strengthen skills. Online tutorials, books, and interactive platforms like Jupyter Notebook make learning more engaging. Joining communities or forums also helps in resolving doubts and gaining insights. To build a strong foundation and fast-track your journey, consider enrolling in a structured data science course.
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