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Comprehensive Python Zero to Hero Course

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13:41:31

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  • 1. Introduction to Python.mp4
    02:21
  • 2. Downloading, Installing and Configuring Python.mp4
    04:53
  • 3. Downloading, Installing and Using PyCharm IDE.mp4
    11:00
  • 4. Printing in Python using Print statements.mp4
    06:34
  • 5. Variables in Python.mp4
    20:25
  • 6. Data Types in Python.mp4
    04:12
  • 7. Type Casting in Python.mp4
    11:20
  • 8. Operators in Python.mp4
    26:42
  • 9. Comments in Python.mp4
    12:26
  • 10. Operator Precedence in Python.mp4
    10:42
  • 11. Deleting a variable in Python.mp4
    01:46
  • 12. Using + for String concatenation.mp4
    05:46
  • 13. Storing Multi-line preformatted String text into a variable.mp4
    03:32
  • 14. Storing a lengthy text into a variable.mp4
    04:14
  • 15. Formatting Print statements in Python.mp4
    10:40
  • 16. Control Flow Statements in Python.mp4
    03:31
  • 17. Selection Decision Control Statements in Python - if, else, elif.mp4
    20:13
  • 18. while loop in Python.mp4
    15:26
  • 19. for loop with range() in Python.mp4
    13:32
  • 20. Break and continue statements in Python - Transfer Jump Statements.mp4
    12:54
  • 21. Functions - Getting started.mp4
    05:54
  • 22. Function can be called multiple times.mp4
    01:50
  • 23. Parameterizing functions.mp4
    06:32
  • 24. Default Arguments in functions.mp4
    03:46
  • 25. Function with multiple parameters.mp4
    02:02
  • 26. Functions can return data.mp4
    03:31
  • 27. Purpose of functions.mp4
    03:50
  • 28. Multiple functions can be created.mp4
    02:15
  • 29. Collecting input from User using input() in-built function.mp4
    07:00
  • 30. max() and min() in-built functions in python.mp4
    03:24
  • 31. Local and Global Variables in Python.mp4
    10:44
  • 32. Pass statement in Python.mp4
    03:53
  • 33. Collections in Python.mp4
    03:21
  • 34. List - Collections.mp4
    36:31
  • 35. Tuple - Collections.mp4
    22:40
  • 36. Set - Collections.mp4
    28:32
  • 37. Dictionary - Collections.mp4
    21:01
  • 38. List Versus Tuple Versus Set Versus Dictionary.mp4
    09:12
  • 39. Strings.mp4
    29:05
  • 40. in and not in operators.mp4
    06:24
  • 41. File Handling.mp4
    15:31
  • 42. Self in Python.mp4
    11:10
  • 43. Assigning method parameters to class variables using self keyword.mp4
    16:11
  • 44. Initializing Class Variables using methods in Python.mp4
    18:06
  • 45. init method in Python.mp4
    04:47
  • 46. Static Variables, Static Methods, Instance Variables, Instance Methods.mp4
    26:39
  • 47. Inheritance.mp4
    07:34
  • 48. Types of Inheritance.mp4
    14:09
  • 49. Polymorphism - Method Overriding.mp4
    06:51
  • 50. Overloading Methods is not directly supported by Python.mp4
    08:38
  • 51. super() in Python.mp4
    11:31
  • 52. Private Variable and Private Methods in Python.mp4
    05:31
  • 53. Using Getter and Setter Methods with private variables in Python.mp4
    06:29
  • 54. Encapsulation in Python.mp4
    07:55
  • 55. Abstraction in Python - Abstract Classes and Abstract Methods.mp4
    22:30
  • 56. Modules in Python.mp4
    25:32
  • 57. Packages in Python.mp4
    19:33
  • 58. Exception Handling in Python.mp4
    34:13
  • 59. Lambda function in Python.mp4
    05:59
  • 60. Using args in Python.mp4
    05:22
  • 61. Using kwargs in Python.mp4
    09:06
  • 62. Unpacking Collections or range() into individual variables.mp4
    07:48
  • 63. Complex Data Type in Python.mp4
    09:43
  • 64. Range Data Type in Python.mp4
    16:51
  • 65. Complete List of Data Types in Python.mp4
    06:08
  • 66. Generating Random numbers in Python.mp4
    07:21
  • 67. Escape Characters in Python.mp4
    08:43
  • 68. Using bool() function in python for evaluating values as True or False.mp4
    06:02
  • 69. Short Hand if and if .. else Statements in Python.mp4
    04:05
  • 70. User iter() function in Python with List, Tuple, Set and Dictionary.mp4
    05:54
  • 71. Date and Time in Python.mp4
    10:46
  • 72. Regular Expressions in Python.mp4
    41:17
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    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 72
    • duration 13:41:31
    • Release Date 2024/05/19