Lecture 3: Numerical Computing with Numpy
- Going from Python lists to Numpy arrays
- Working with multi-dimensional arrays
- Array operations, slicing and broadcasting
- Working with CSV data files
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can we get some practice exercise on lecture 2
Can you provide a ppt or pdf after every lecture, video pura dekhne me dikkat aata hain
Jupyter Notebooks are already being shared with us, you know!
not possible to highlight important point, my system takes lots of time to open the notebook and run
The video is being recorded. You can watch it anytime. Wait for the lecture to complete. Observe the details he is teaching.
It may be useful to understand the concept first then hands-on-practice.
Okay, for that you can simply convert the notebooks to .pdf format.
And open .pdf files in acrobat and highlight it in it
what is difference between
result += (…)
why it is 64? maximum 64 bits acceptable ?
~ regarding int(64) and float (64)
Both of the two statements are same.
What is the difference between dot product and matmul() function…?
previously mentioned .apend not valid for tuple , then np.concatenate overrid the problem ?
Can we get some other txt file for practice
You can search over the internet. There are plenty of such files available for free.
Or, you can create one on your own. That will be fun!
Can you show some matrix operations ? like eigen value,
‘trace of matrix’;
‘matrix diagonalization’ etc. ?
once I use them at MATLAB editor. Also give some examples of ploting of graphs with different legends and "colour"