Introduction to Numpy
CBSE · Class 11 · Informatics Practices
Summary of Introduction to Numpy for CBSE Class 11 Informatics Practices. Key concepts, important points, and chapter overview.
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Overview
NumPy stands for Numerical Python. It is a package for data analysis and scientific computing with Python. Its main data structure is the multidimensional array object called ndarray, commonly known as an array. NumPy arrays store same-type elements contiguously in memory, which makes processing fas
Key Concepts
NumPy is a Python package used
NumPy is a Python package used for data analysis and scientific computing. It is installed using pip install NumPy.
The official NumPy array object
The official NumPy array object is called ndarray. It is commonly called an array and stores elements of the same data type in contiguous memory.
A Python list can store different
A Python list can store different data types and is not stored contiguously. A NumPy array stores same-type elements contiguously and supports element
Array indexing starts from 0
Array indexing starts from 0. In a 5-element array, the first element has index 0 and the last element has index 4.
A 1
A 1-D array has one axis. A 2-D array has two axes: axis-0 is the row-axis and axis-1 is the column-axis.
Learning Objectives
- Understand what NumPy is and why it is useful
- Distinguish between Python lists and NumPy arrays
- Create 1-D and 2-D NumPy arrays using array(), zeros(), ones(), and arange()
- Use indexing and slicing to access array elements
- Perform arithmetic operations, transpose, sorting, concatenation, reshaping, and splitting on arrays
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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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