Play Speed
  • 0.5x
  • 1x (Normal)
  • 1.25x
  • 1.5x
  • 2x
48 Lessons (5h 53m)
    • 1. Introduction

      1:53
    • 2. Maximising learning

      2:12
    • 3. Installing python

      6:01
    • 4. Jupyter notebook

      8:38
    • 5. Practical projects

      5:34
    • 6. Print and input

      6:37
    • 7. Common data types

      8:05
    • 8. Commenting

      6:10
    • 9. Practical 1

      2:08
    • 10. Solutions 1

      11:20
    • 11. Comparison

      8:56
    • 12. If else

      10:25
    • 13. While loops

      12:41
    • 14. Lists

      10:32
    • 15. For loops

      8:57
    • 16. List comprehension

      1:35
    • 17. Cool things neural nets

      2:48
    • 18. Practical 2

      1:53
    • 19. Solutions 2

      17:56
    • 20. Basic functions

      13:44
    • 21. Implementing functions

      8:41
    • 22. Import modules

      9:32
    • 23. Practical 3

      1:30
    • 24. Solution 3

      14:09
    • 25. Open read write

      9:55
    • 26. Practical 4

      1:22
    • 27. Solutions 4

      9:21
    • 28. List slicing

      9:59
    • 29. Sets and tuples

      7:58
    • 30. Dictionaries

      7:31
    • 31. Practical 5

      0:55
    • 32. Solutions 5

      12:40
    • 33. Lambda

      6:01
    • 34. Map and filter

      8:55
    • 35. Generators

      2:29
    • 36. Decorators

      6:42
    • 37. Rcursion

      2:20
    • 38. Practical 6

      1:16
    • 39. Solutions 6

      9:53
    • 40. Classes

      7:37
    • 41. Inheritance

      6:51
    • 42. Practical 7

      0:21
    • 43. Solutions 7

      8:44
    • 44. Github

      3:20
    • 45. Resources for growth

      3:14
    • 46. Learning summary

      41:16
    • 47. How to continue improving

      1:28
    • 48. Any questions

      1:08