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    NumPy Quiz: Essential Questions for Pythonistas!

    🧮 Boost your Python data processing skills with our NumPy quiz! 🎯 Test your understanding of arrays, vectorized operations, broadcasting, indexing, and more. Ideal for Data Science and ML enthusiasts — get ready to sharpen your NumPy game! 🚀

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    ✅ Challenge your NumPy knowledge with this fun and interactive quiz.

    📌 Key topics covered include:

    • 🧊 Array creation and manipulation

    • 🔁 Vectorized operations and broadcasting

    • 🎯 Indexing, slicing, reshaping

    • 📈 Mathematical and statistical functions

    • ⚙️ Performance optimization with NumPy

    🎓 Great for students, Python learners, and Data Science aspirants
    🧠 Excellent for interview practice and hands-on revision

    FAQ 's

    You can install NumPy using pip: pip install numpy Or, if using Anaconda: conda install numpy

    NumPy (Numerical Python) is a Python library used for scientific computing. It provides multi-dimensional arrays, mathematical functions, linear algebra operations, and random number generation. It is widely used for data analysis, machine learning, and numerical computing because it is faster and more efficient than Python lists.

    concat_arr = np.concatenate((arr1, arr2))

    ndarray stands for "N-dimensional array" and is the primary data structure in NumPy, allowing you to store and manipulate homogeneous data (data of the same type) in a multi-dimensional grid.

    Mean (average): np.mean(arr), Median (middle value): np.median(arr), Standard deviation: np.std(arr)