Introduction to Numpy
CBSE · Class 11 · Informatics Practices
Quick revision notes for Introduction to Numpy — CBSE Class 11 Informatics Practices. Key concepts, formulas, and definitions for last-minute revision.
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Key Topics to Revise
1. NumPy and Arrays
- NumPy stands for Numerical Python.
- NumPy is a package for data analysis and scientific computing with Python.
- NumPy can be installed using pip install NumPy.
2. Creating NumPy Arrays
- A 1-D array has one row of elements.
- A 2-D array can be created by passing nested lists to np.array().
- array1 = np.array([10,20,30]) is an example of a 1-D array.
3. Indexing and Slicing
- Array indexing is based on position and starts from 0.
- This is called zero based indexing.
- In a 2-D array, row-axis is axis-0 and column-axis is axis-1.
4. Operations on Arrays
- Arithmetic operations on arrays are done element-wise when shapes are the same.
- For element-wise operations, array1.shape must equal array2.shape.
- Example arrays used for arithmetic are array1 = np.array([[3,6],[4,2]]) and array2 = np.array([[10,20],[15,12]]).
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Sources & Official References
- NCERT Official — ncert.nic.in
- CBSE Academic — cbseacademic.nic.in
- CBSE Official — cbse.gov.in
- National Education Policy 2020 — education.gov.in
Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.
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