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Skillshare Learn Python Programming from A-Z Masterclass

Video Introducing this tutorial

1. Python Programming from A-Z Masterclass
2. Intro To Python Programming
3. What is Python Programming?
4. Python Marketplace
5. Python Job Opportunities
6. Python Job Roles
7. Getting Familiar with Python
8. Installing Python on Windows
9. Anaconda and Jupyter Notebooks Part 1
10. Anaconda and Jupyter Notebooks Part 2
11. Python Syntax
12. Line Structures
13. Line Structure Example
14. Comments
15. Joining Lines
16. Multiple Statements on a Single Line
17. Identation
18. Python Basic Data Types Overview
19. Python Variables
20. Integers and Float
21. Strings Overview
22. String Manipulation
23. String Indexing
24. String Slicing
25. Booleans
26. Printing
27. Mini Project 1 Letter Counter
28. Python Operators Overview
29. Arithmetic Operators
30. Assignment Operators
31. Logical Operators
32. Identity Operators
33. Membership Operators
34. Bitwise Operators
35. Python Advanced Data Types Overview
36. List Overview
37. List Indexing and Slicing
38. Python Tuples
39. Python Sets
40. Python Dictionary
41. When To Use Each One
42. Control Flow Part 1 Overview
43. Basic Conditional Statements
44. More Conditional Statements
45. For Loops
46. While Loops
47. Break Statements
48. Continue Statements
49. Zip Functions
50. Enumerate Function
51. List Comprehension
52. Intro to Functions
53. Python Help Function
54. Defining Functions
55. Variable Scope
56. DocStrings
57. Intro to Error Handling
58. User Input
59. Syntax Errors
60. Exceptions
61. Handling Exceptions Part 1
62. Handling Exceptions Part 2
63. Lambada Functions
64. Functions Args and Kwargs
65. Iterators
66. Generators and Yield
67. Map Functions
68. Filter
69. What is a Script?
70. Python Text Editors
71. From Jupyter Notebook To Vscode
72. From Jupyter Notebook To Vscode Part 2
73. Importing Scripts
74. Standard Libraries
75. Third Party Libraries
76. What is NumPy?
77. Why NumPy?
78. NumPy Arrays?
79. Reshaping, Modifying and Accessing NumPy Arrays
80. Slicing and Copying
81. Inserting, Deleting, Appending
82. Logical Indexing
83. Pandas
84. Pandas Series
85. Pandas DataFrame
86. Pandas DataFrame Manipulation
87. Dealing with Missing Values
88. Logical Indexing
89. Broadcasting
90. Pandas Series Manipulation
91. OOP Key Definitions
92. Create Your First Class
93. How To Create and Use Objects
94. Modifying Attributes
95. Python Decorators
96. Property Decorator
97. Class Methods Decorator
98. Static Methods Decorators
99. Inheritance
100. Building a Brand
101. Importance of Website Blog
102. Creating a Python Developer Resume