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    Subject 417 • Practical Component • 50 Marks Practical Exam & File

    Unit 7: Advance Python for AINumPy, Pandas, Matplotlib, OpenCV & Lab Programs

    The comprehensive practical guide for CBSE Class 10 AI. Master Jupyter Notebook environments, NumPy arrays, Pandas DataFrames, Matplotlib visual analytics, OpenCV computer vision routines, and copy-paste ready code for your official 15-program lab file and board viva voce.

    Practice MCQs
    Practical MCQs • 6 Questions

    Python Practical MCQs & Answer Key

    Click any option to instantly see if you're correct with a detailed explanation.

    1

    Which Python command is used to create a virtual environment named 'ai_env'?

    2

    Which NumPy attribute returns a tuple representing the number of rows and columns in an ndarray?

    3

    Which Pandas method provides a concise summary of DataFrame column datatypes, non-null counts, and memory usage?

    4

    In Matplotlib, which function is used to create a scatter plot of coordinates X and Y?

    5

    When OpenCV loads a color image using cv2.imread(), what is the default color channel order in the resulting NumPy matrix?

    6

    Which Scikit-Learn function outputs the counts of True Negatives, False Positives, False Negatives, and True Positives?

    Fast Revision Summary

    Python Practical Quick Recall Cheat Sheet

    NumPy Attributes: .shape (dimensions), .ndim (number of axes), .size (total elements), .dtype (element type).
    Pandas Essentials: pd.read_csv() (ingestion), .isna().sum() (missing values), .fillna() (imputation), .describe() (stats).
    Matplotlib Types: plt.plot() (lines), plt.bar() (categorical bars), plt.scatter() (correlation), plt.hist() (distributions).
    OpenCV BGR Gotcha: OpenCV loads images as BGR. Convert to RGB with cv2.cvtColor(img, cv2.COLOR_BGR2RGB).
    Virtual Environments: Created with python -m venv myenv to insulate dependencies per project.
    Practical Weightage: 15 Marks Lab Exam + 15 Marks Lab File + 10 Marks Viva + 10 Marks Project = 50 Marks Total.
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