R & D in Python at Azoi
- 1. Research & Development in Python at Azoi Hardik Madhu R & D, Azoi
- 4. What we do? – Part 1 Algorithms
- 5. A peak into our Algorithms
- 6. A peak into our Algorithms
- 7. A peak into our Algorithms
- 8. A peak into our Algorithms
- 9. A peak into our Algorithms
- 10. A peak into our Algorithms Alas !! Life is not always easy… But we manage to find true Heart Rate...
- 11. What we do? – Part 2
- 13. How Python helps? • Prototyping is lightning fast • String parsing, data parsing is a bliss – Sport = serial.Serial(‘/dev/ttyS1’,19200) – line = Sport.readline() – data = line.split(‘ ‘) – Do_magic(data)
- 14. How Python helps? • Abundant amount of third party libraries/methods – pyqtgraph – plotting library, 2d,3d plots – matplotlib – matlab like plotting library – sklearn – very powerful machine learning library • We have derived a curve fit for a total number of 1500 6-D points (in matter of minutes) – k-mean clustering in Scipy • Classification of these 1500 data points was done in appropriate clusters (also in matter of minutes)
- 15. How Python helps? • Awesome community
- 16. Why not anything else? • Matlab - really costly • Octave - Not much community/third party support • C/C++ - Not really easy in prototyping
- 17. Why not anything else?
- 18. Thank You