25 - Unpacking Tuples | The Course Tree

Autoplay
Autocomplete

Previous Lesson Complete and Continue

Master Class On Data Science Using Python A-Z

1 - BONUS Python Crash Course

1 - Variables in Python (4:35)
2 - Conditionals If statement (4:49)
3 - Example for If statement (3:36)
4 - If else statement (2:02)
5 - Example of If else statement (1:51)
6 - Nested If statement (3:31)
7 - Example for Nested If statement (3:51)
8 - Elif statement (3:40)
9 - Example for Elif statement (2:24)
10 - While loop (6:52)
11 - Example of while loop (3:16)
12 - For Loop (7:37)
13 - Example of For Loop (1:56)
14 - Break Continue Statement (2:37)
15 - Introduction to containers (17:31)
16 - Creating and accessing lists in Python (7:06)
17 - List indexing and slicing (9:05)
18 - Working with List methods (31:05)
19 - Working with operators on lists (3:37)
20 - List Comprehension (3:57)
21 - Tuple definition (3:35)
22 - Tuples (3:08)
23 - Tuple Indexing Slicing (18:15)
24 - Manipulating Tuples (4:55)
25 - Unpacking Tuples (1:09)
26 - Sets (3:48)
27 - Dictionaries (5:32)
28 - Basics of dictionary (20:13)
29 - Accessing dictionary (7:16)
30 - len str type functions in dictionary (4:15)
31 - Functions in python (4:28)
32 - Example program1 on Functions (6:20)
33 - Example program2 on functions (3:21)

2 - Data Handling using Numpy

34 - Introduction to modules in python (2:28)
35 - Creating Displaying 1D array (1:12)
36 - Understanding 1D array Index (4:17)
37 - Creating Array of 0s and Array of 1s (1:49)
38 - Sorting elements in 1D array (1:17)
39 - Slicing a 1D array (10:29)
40 - Mathematical Operations on Array (4:22)
41 - Searching an element in a Array (6:34)
42 - Filtering an array (4:20)
43 - Checking whether given array is empty or not (2:55)
44 - Creating Displaying 2D array (1:03)
45 - ndim Attribute (2:19)
46 - Size Attribute (2:30)
47 - Shape and reshape of array (3:17)
48 - Creating an Identity Matrix (2:19)
49 - arange (2:44)
50 - linspace (1:29)
51 - Random array (1:22)
52 - Random matrix (1:17)
53 - Creating a diagonal matrix (1:04)
54 - Flatten a Matrix (2:11)
55 - Computing Trace of a Matrix (3:12)
56 - Finding Transpose of a Matrix (4:19)
57 - Negative indexing to access elements in a 2D array (3:27)

3 - Data Handling using Pandas

59 - Working with series in Pandas (8:07)
58 - Introduction to Pandas (4:47)
60 - Combining series with Numpy (5:36)
61 - Finding number of elements in a series (1:30)
62 - Computing mean max and min in a series (3:38)
63 - Sorting a Series (2:49)
64 - Displaying Unique values in a Series (2:30)
65 - Summary of series statistics (2:12)

4 - Data Visualization using Matplotlib in Python

67 - Creating Line Graph (5:30)
66 - Introduction to Matplotlib (2:57)
68 - Creating Bar Graph (2:20)
69 - Creating Scatter Graph (1:07)
70 - Creating Histogram Graph (2:01)
71 - Creating Pie Chart (2:24)
72 - Creating 3D Plot (1:23)
73 - Creating 3D Line graph (0:34)

5 - Data Visualization using Seaborn in Python

74 - Understanding a sample Dataset Downloadable (2:32)
75 - Introduction to Seaborn (2:59)
76 - Swarm Plot (4:07)
77 - Violin Plot (1:48)
78 - Facet Grids (4:31)
79 - Heatmap (1:49)

Teach online with

25 - Unpacking Tuples

Lesson content locked

If you're already enrolled, you'll need to login.

Enroll in Course to Unlock