FreeCoursesOnline Us Lynda - NumPy Data Science Essential Training

1. 01-Welcome.mp45.93MB
2. 02-What you should know.mp4606.96KB
3. 03-NumPy, data science, IMQAV.mp412.94MB
4. 04-How to use the exercise files.mp43.7MB
5. 05-Install software.mp45.5MB
6. 06-Introduction to Jupyter Notebook.mp49.07MB
7. 07-Notebook basics.mp420.98MB
8. 08-Markdown.mp411.48MB
9. 09-Beautiful mathematics typesetting.mp410.5MB
10. 10-Launch Jupyter Notebook.mp45.04MB
11. 11-Create arrays from Python structures.mp417.67MB
12. 12-Intrinsic creation using NumPy methods.mp417.69MB
13. 13-linspace, zeros, ones, data types.mp424.11MB
14. 14-Slice arrays.mp418.12MB
15. 15-Boolean mask arrays.mp412.03MB
16. 16-Broadcasting.mp429.96MB
17. 17-Structured and record arrays.mp427.69MB
18. 18-Inline plotting.mp46.64MB
19. 19-Figures and subplots.mp412.98MB
20. 20-Multiple lines, single plot.mp416.48MB
21. 21-Tick marks, labels, and grids.mp48.25MB
22. 22-Plot annotations.mp413.93MB
23. 23-Pie charts and bar charts.mp411.61MB
24. 24-Beautiful plots, the gallery.mp412.15MB
25. 25-Views and copies.mp419.14MB
26. 26-Array attributes.mp44.04MB
27. 27-Add and remove elements.mp423.13MB
28. 28-Join and split arrays.mp419.14MB
29. 29-Array shape manipulation.mp411.32MB
30. 30-Rearrange array elements.mp412.95MB
31. 31-Transpose like operations.mp411.57MB
32. 32-Tiling arrays.mp49.47MB
33. 33-Universal functions.mp412.77MB
34. 34-Pythagorean triangles.mp48.31MB
35. 35-Linear algebra.mp419.63MB
36. 36-Finding patterns.mp419.25MB
37. 37-Statistics.mp420.39MB
38. 38-Brain teasers.mp429.84MB
39. 39-Magic squares and NumPy.mp419.54MB
40. 40-Adjacency matrix.mp416.67MB
41. 41-Magic characteristics.mp415.07MB
42. 42-Build magic cubes.mp410.16MB
43. 43-Next steps.mp42.44MB