TorBT - Torrents and Magnet Links Search Engine
CBTNuggets - Python and pandas for Data Manipulation
- Date: 2026-05-15
- Size: 10 GB
- Files: 113
File Name
Size
1. Introduction.mp4
46 MB
10. Data Types Review.mp4
60 MB
100. Sorting values.mp4
150 MB
101. Sort by indices.mp4
56 MB
102. Ranking a Series.mp4
145 MB
103. Introduction.mp4
48 MB
104. Checking for Duplicates.mp4
107 MB
105. Drop Duplicates.mp4
95 MB
106. Unique Values.mp4
86 MB
107. Inclusion with between().mp4
115 MB
108. Introduction.mp4
37 MB
109. Setting and Resetting Indices.mp4
134 MB
11. Cell Types.mp4
77 MB
110. Extraction with loc.mp4
120 MB
111. Extraction with iloc.mp4
110 MB
112. Setting New Values.mp4
65 MB
113. Set Multiple Values.mp4
96 MB
12. Shortcuts.mp4
34 MB
13. Introduction.mp4
58 MB
14. Create a Series from a List.mp4
96 MB
15. Create a Series from a Dictionary.mp4
52 MB
16. Read CSV files.mp4
105 MB
17. Read Excel files.mp4
70 MB
18. Head and Tail Functions.mp4
94 MB
19. Series Attributes.mp4
53 MB
2. What is Pandas.mp4
100 MB
20. Series Methods.mp4
60 MB
21. Introduction.mp4
27 MB
22. The In Keyword.mp4
62 MB
23. Extract by Position.mp4
88 MB
24. Extract by Label.mp4
143 MB
25. The get() Method.mp4
110 MB
26. Math methods.mp4
70 MB
27. The idxmin() and idxmax() Methods.mp4
34 MB
28. Unique Values.mp4
47 MB
29. The apply() Method.mp4
62 MB
3. What is Jupyter Notebook.mp4
60 MB
30. Introduction.mp4
45 MB
31. Handling null values.mp4
74 MB
32. Drop null values.mp4
100 MB
33. Impute missing values.mp4
67 MB
34. Value counts for DataFrames.mp4
55 MB
35. Detect null and not null values.mp4
77 MB
36. Introduction.mp4
78 MB
37. Optimization.mp4
165 MB
38. Conditional Filtering.mp4
186 MB
39. Filtering with AND and OR.mp4
160 MB
4. Anaconda Installation.mp4
98 MB
40. Inclusion Method.mp4
101 MB
41. Introduction.mp4
45 MB
42. The Drop Method.mp4
72 MB
43. Returning Smallest and Largest Values.mp4
115 MB
44. The Where Method.mp4
104 MB
45. The Query Method.mp4
112 MB
46. The Copy Method.mp4
101 MB
47. Introduction.mp4
29 MB
48. Manipulating Text Data.mp4
148 MB
49. String Methods.mp4
147 MB
5. Conda Environments.mp4
72 MB
50. The Replace String Method.mp4
116 MB
51. Filtering String Methods.mp4
116 MB
52. Strip Strings.mp4
204 MB
53. Column and Index Methods.mp4
111 MB
54. Splitting Strings.mp4
88 MB
55. More Splitting.mp4
83 MB
56. Introduction.mp4
37 MB
57. Grouping.mp4
119 MB
58. Group_by Operations.mp4
162 MB
59. Get_group Method.mp4
126 MB
6. Challenge.mp4
156 MB
60. The Group_by Methods.mp4
185 MB
61. Introduction.mp4
61 MB
62. Combining DataFrame.mp4
64 MB
63. Concatenation.mp4
172 MB
64. Inner Joins.mp4
105 MB
65. Outer Joins.mp4
41 MB
66. DatetimeIndex.mp4
60 MB
67. The to_datetime Method.mp4
97 MB
68. Introduction.mp4
32 MB
69. Date Ranges Part 1 Video 1-A.mp4
106 MB
7. Introduction.mp4
112 MB
70. Date Ranges Part 1 Video 1-B.mp4
109 MB
71. Date Ranges Part 1 Video 1-C.mp4
86 MB
72. Date Ranges Part 2.mp4
120 MB
73. Date Ranges Part 3.mp4
87 MB
74. The dt Accessor.mp4
120 MB
75. Introduction & Setup.mp4
129 MB
76. Reading Cryptocurrency Data.mp4
180 MB
77. Selecting Datetime Rows.mp4
134 MB
78. Timestamp Attributes & Methods.mp4
111 MB
79. Introduction.mp4
80 MB
8. Brief History.mp4
105 MB
80. Matplotlib & PyPlot.mp4
28 MB
81. Visualizing Cryptocurrencies.mp4
200 MB
82. Customizing Visualizations.mp4
156 MB
83. Creating Charts.mp4
148 MB
84. Introduction.mp4
28 MB
85. Parameter and Arguments.mp4
98 MB
86. Sort Values.mp4
75 MB
87. Series Attributes.mp4
89 MB
88. Series Methods.mp4
94 MB
89. Inplace Mutation.mp4
77 MB
9. User Interface.mp4
117 MB
90. DataFrame Introduction.mp4
176 MB
91, Series shared attributes.mp4
68 MB
92. Shared methods.mp4
71 MB
93. Extracting columns.mp4
59 MB
94. Extracting two or more columns.mp4
54 MB
95. Adding columns.mp4
68 MB
96. Broadcasting Operations.mp4
71 MB
97. DataFrames value_counts( ).mp4
67 MB
98. Introduction.mp4
36 MB
99. Changing data types.mp4
185 MB