Learn Python in Malayalam | Chapter 10 | Matrices in python | addition & multiplication | Transpose | inverse | rank of a matrix

 


This is the tenth video on Learn python in Malayalam. This video clearly explains below topics, use the below time link to skip to the specific topics Topics covered in this video 1. Chapter 9 Assignment discussion - 00:28 2. Matrix in python - 01:52 3. Defining matrix in python - 02:24 4. Matrix addition - 09:00 5. Matrix multiplication - 10:22 6. Transpose of a matrix - 11:43 7. Inverse of matrix - 12:25 8. Rank & eigen values of matrix - 14:09 9. Chapter 10 Assignment - 14:54 Learn Python in Malayalam Playlist: https://www.youtube.com/playlist?list=PLmKq-kgKY8uZya3cwcX6otT61NPHXbTK0 Chapter 1 - https://youtu.be/WiyQ8wTsRO0 Introduction to programming Introduction to Python Introduction to Google Co-lab How to setup Google Co-lab Chapter 2 - https://youtu.be/YFngtW42Mls Python Identifiers Lines and Indentation Multi-Line Statements Chapter 3 - https://youtu.be/gxalG8Aps0A Quotation in python Comments in python Assigning values to variable Chapter 4 - https://youtu.be/AaEL_f2RHIk Data types Numbers Strings Chapter 5 - https://youtu.be/irND35-6BZ0 Data types Lists Tuple Dictionary Chapter 6 - https://youtu.be/MRfg2QZBHvE Decision making if condition if .. else condition Nested if Chapter 7 - https://youtu.be/VYXndepcTCM Loops in Python while loop for loop nested loop Chapter 8 - https://youtu.be/d7Y2D9H4u7c Functions in python arguments in function Multiple arguments in function Arbitrary arguments in function Return value in function Chapter 9 - https://youtu.be/hFOTKyYCkdw Classes in python Defining a class Creating an object Constructors in python If you like my video please subscribe my channel and share Important links & key words https://www.python.org/ Google COLAB Music: https://www.bensound.com Reff : https://www.tutorialspoint.com/python/python_variable_types.htm https://www.w3schools.com/

3 comments:

  1. The video provides a structured introduction to working with matrices in Python, covering important operations such as defining matrices, addition, multiplication, transpose, inverse, rank, and eigenvalues. Including an assignment discussion and a follow-up chapter assignment also makes the lesson useful for learners who want to reinforce these concepts through practice. A Python Online Course can provide a broader foundation for learning Python programming.

    The step-by-step coverage of matrix operations is especially helpful because these concepts are widely used in numerical and computational applications. Explaining each topic with dedicated sections allows learners to revisit specific operations when practicing their own programs. This makes Python Online Training relevant for developing more consistent programming skills.

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  2. The inclusion of matrix rank and eigenvalues also gives learners an opportunity to move beyond basic Python syntax into mathematical programming and problem solving. Building small implementations around these concepts can provide useful hands-on experience and lead toward more advanced computational projects. Learners can extend this practice through Python Projects For Final Year.

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