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Tutorial 1:
This video covers the topics: Introduction to Scipy, Packages under Scipy, Implementation of Scipy library using Python Programming.
Video Link: https://www.youtube.com/watch?v=w00JhkabNTU
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Tutorial 2:
This video covers the topics: Introduction to Scipy special functions, scipy.special.jn(), scipy.special.ellipj(), scipy.special.gamma(), scipy.special.gammaln(), scipy.special.erf(), Linear algebra operations with scipy, lianlg.del() , lianlg.inv(), lianlg.svd().
Video Link: https://www.youtube.com/watch?v=FOzAM9T8nlY&list=PLzx-_kRo3HZtP3tWaieUPwAh9K4I00_6p&index=75
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Tutorial 3:
This video covers the topics: Working of Scipy with Statistics and Random numbers, and implementation of stats, bins, loc, std, mean, median, scoreatpercentile.
Video Link: https://www.youtube.com/watch?v=b2Io3ND1zhc&list=PLzx-_kRo3HZtP3tWaieUPwAh9K4I00_6p&index=76
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Tutorial 4:
This video covers the topics: The ndimage (n-dimensional image) package, Tasks in image processing such as input/output image, classification, Feature extraction, Registration, etc, Basic manipulations − Cropping, flipping, rotating, etc. Image filtering − De-noising, sharpening, etc, various utilities.
Video Link: https://www.youtube.com/watch?v=BIRZ14wqYTQ&list=PLzx-_kRo3HZtP3tWaieUPwAh9K4I00_6p&index=77
LabdhiSheth/Scipy-Tutorial
Internship task under Samrat Ashok Technological Institute (D), Vidisha (M.P), India Department of Computer Science and Engineering.
Jupyter Notebook