Linear Algebra Using Python
Publication details: Mumbai Himalaya Publishing House Pvt. Ltd. 2022 Edition: 1st edDescription: 196 pISBN: 978-93-5273-987-5Subject(s): Linear Algebra, PythonDDC classification: 512.5 Summary: Linear Algebra using Python is designed to serve as a textbook for undergraduate students of B.Sc. (CS) for the course of programming and problem solving. This textbook is easy to understand the basic concepts of Linear Algebra and its implementations in Python. Key Features - - Introducing the basic concepts of linear algebra such as field, vector space, basis, dimension, matrices, etc. - All codes are written in Python including all the practicals mentioned in the Mumbai University syllabus. - Provides a flexible blend of both the mathematical concepts and Python programming. - Provide exercises at the end of each section to reinforce students understanding each topic. Contents - UNIT - I 1. Field 2. Vectors 3. Vector Space UNIT - II 4. Matrix 5. Basis 6. Dimension UNIT - III 7. Gaussian Elimination 8. Inner Product 9. Eigen Vectors Practicals Multiple Choice Questions| Item type | Home library | Call number | Materials specified | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Books
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DMC -Dnyanprassarak Mandals College and Research Centre, Assagao, Bardez | 512.5 /JAD/LIN (Browse shelf(Opens below)) | 1 | Available | DMC-S6595 |
Linear Algebra using Python is designed to serve as a textbook for undergraduate students of B.Sc. (CS) for the course of programming and problem solving. This textbook is easy to understand the basic concepts of Linear Algebra and its implementations in Python.
Key Features -
- Introducing the basic concepts of linear algebra such as field, vector space, basis, dimension, matrices, etc.
- All codes are written in Python including all the practicals mentioned in the Mumbai University syllabus.
- Provides a flexible blend of both the mathematical concepts and Python programming.
- Provide exercises at the end of each section to reinforce students understanding each topic.
Contents -
UNIT - I
1. Field
2. Vectors
3. Vector Space
UNIT - II
4. Matrix
5. Basis
6. Dimension
UNIT - III
7. Gaussian Elimination
8. Inner Product
9. Eigen Vectors
Practicals
Multiple Choice Questions
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