Complete numpy masterclass go from zero to hero in numpy
Indexed public MEGA.nz folder containing 90 files across 22 folders, with a total indexed size of 4.1 GB. Last scan: Oct 02, 2026.
Indexed contents
90 files in 22 folders
Files
- 4. qr decomposition.mp4
- 1. sorting with numpy.mp4
- 2. vector dot product.mp4
- 3. what is matplotlib.mp4
- 1. routines for random.mp4
- 3. pip on raspberry pi.mp4
- 1. ffts and inverse fft.mp4
- 1. what is raspberry pi.mp4
- 5. what platform to use.mp4
- 2. raspberry pi unboxing.mp4
- 5. introduction to numpy.mp4
- 9. arithmetic operations.mp4
- 1. working with.npy files.mp4
- 2. working with.csv files.mp4
- 7. python on raspberry pi.mp4
- 6. a brief tour of jupyter.mp4
- 4. install putty on windows.mp4
- 1. downloadable code bundle.html
- 1. set operations with numpy.mp4
- 2. numpy ndarrays properties.mp4
- 2. install jupyter on windows.mp4
- 2. course contents walkthrough.mp4
- 4. scientific python ecosystem.mp4
- 1. introduction to pypi and pip.mp4
- 2. image datasets for practicals.mp4
- 3. please do leave your feedback.mp4
- 1. hello world program on windows.mp4
- 1. statistical functions in numpy.mp4
- 6. remotely accessing pi with vnc.mp4
- 3. install jupyter on raspberry pi.mp4
- 1. what is digital image processing.mp4
- 3. resources for raspberry pi setup.html
- 1. bitwise operations on numpy arrays.mp4
- 2. hello world program on raspberry pi.mp4
- 4. numpy numerical ranges and matplotlib.mp4
- 5. remotely connect to a jupyter notebook.mp4
- 1. install numpy and matplotlib on windows.mp4
- 5. determining and solving linear equations.mp4
- 2. counting non-zero elements in numpy ndarray.mp4
- 3. numpy mathematical and scientific constants.mp4
Showing a summary of 40 out of 90 files.
Folders
- complete numpy masterclass go from zero to hero in numpy
- 1. introduction
- 2. python 3 on windows
- 3. python 3 and raspberry pi
- 4. basics of python 3
- 5. python package index and pip
- 6. numpy and matplotlib installation
- 7. jupyter
- 8. getting started with numpy
- 9. array creation routines and matplotlib
- 10. routines for random
- 11. array manipulation
- 12. bitwise operations on numpy arrays
- 13. statistical functions in numpy
- 14. ffts
- 15. matrices and linear algebra
- 16. mathematical and trigonometric functions
- 17. digital image processing with numpy and matplotlib
- 18. file operations with numpy
- 19. set operations with numpy
Showing a summary of 20 out of 22 folders.
Content summary
- Videos
- 68
- Archives
- 1
- Documents
- 14
- Others
- 7