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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

Project Description

There are a range of practical projects that we cover in this course.We go through numerous applications, including creating games such as tic tac toe, web scrapers, creating your own graphical user interfaces, and much more!

Student Projects

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