Pandas in Action, Video Edition
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7:23:50
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01-Part 1. Core pandas.mp4
01:35
02-Chapter 1. Introducing pandas.mp4
08:29
03-Chapter 1. Pandas vs. graphical spreadsheet applications.mp4
09:12
04-Chapter 1. A tour of pandas.mp4
08:22
05-Chapter 1. Counting values in a Series.mp4
07:46
06-Chapter 2. The Series object.mp4
09:23
07-Chapter 2. Customizing the Series index.mp4
07:16
08-Chapter 2. Creating a Series from Python objects.mp4
09:23
09-Chapter 2. Mathematical operations.mp4
10:37
10-Chapter 2. Arithmetic operations.mp4
06:14
11-Chapter 2. Passing the Series to Pythons built-in functions.mp4
07:53
12-Chapter 3. Series methods.mp4
09:14
13-Chapter 3. Sorting a Series.mp4
07:49
14-Chapter 3. Counting values with the value counts method.mp4
07:44
15-Chapter 3. Invoking a function on every Series value with the apply method.mp4
10:00
16-Chapter 4. The DataFrame object.mp4
08:01
17-Chapter 4. Shared and exclusive attributes of Series and DataFrames.mp4
07:56
18-Chapter 4. Sorting a DataFrame.mp4
10:11
19-Chapter 4. Selecting rows from a DataFrame.mp4
09:14
20-Chapter 4. Extracting values from Series.mp4
07:52
21-Chapter 5. Filtering a DataFrame.mp4
09:49
22-Chapter 5. Filtering by a single condition.mp4
10:03
23-Chapter 5. Filtering by condition.mp4
10:01
24-Chapter 5. The drop duplicates method.mp4
09:53
25-Part 2. Applied pandas.mp4
01:32
26-Chapter 6. Working with text data.mp4
06:28
27-Chapter 6. String slicing.mp4
08:01
28-Chapter 6. Splitting strings.mp4
10:06
29-Chapter 7. MultiIndex DataFrames.mp4
08:05
30-Chapter 7. MultiIndex DataFrames - Scaling up.mp4
07:19
31-Chapter 7. Sorting a MultiIndex.mp4
07:49
32-Chapter 7. Extracting one or more rows with loc.mp4
10:07
33-Chapter 7. Manipulating the Index.mp4
09:41
34-Chapter 8. Reshaping and pivoting.mp4
11:17
35-Chapter 8. Additional options for pivot tables.mp4
07:08
36-Chapter 8. Melting a data set.mp4
09:34
37-Chapter 9. The GroupBy object.mp4
06:42
38-Chapter 9. Attributes and methods of a GroupBy object.mp4
09:20
39-Chapter 9. Grouping by multiple columns.mp4
06:36
40-Chapter 10. Merging, joining, and concatenating.mp4
09:33
41-Chapter 10. Missing values in concatenated DataFrames.mp4
09:31
42-Chapter 10. Merging on index labels.mp4
08:23
43-Chapter 11. Working with dates and times.mp4
10:00
44-Chapter 11. Storing multiple timestamps in a DatetimeIndex.mp4
11:10
45-Chapter 11. Date offsets.mp4
10:50
46-Chapter 11. Coding challenge.mp4
08:21
47-Chapter 12. Imports and exports.mp4
11:21
48-Chapter 12. Exporting a DataFrame to a JSON file.mp4
10:00
49-Chapter 12. Exporting Excel workbooks.mp4
08:01
50-Chapter 13. Configuring pandas.mp4
06:48
51-Chapter 13. Precision.mp4
06:01
52-Chapter 14. Visualization.mp4
10:09
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- language english
- Training sessions 52
- duration 7:23:50
- Release Date 2023/11/06