[TutsNode.com] - Pandas in Action, Video Edition
03-Chapter 1. Pandas vs. graphical spreadsheet applications.mp4
77.56 MB
24-Chapter 5. The drop_duplicates method.mp4
59.44 MB
34-Chapter 8. Reshaping and pivoting.mp4
57.21 MB
02-Chapter 1. Introducing pandas.mp4
57.12 MB
18-Chapter 4. Sorting a DataFrame.mp4
49.16 MB
38-Chapter 9. Attributes and methods of a GroupBy object.mp4
47.19 MB
40-Chapter 10. Merging, joining, and concatenating.mp4
46.84 MB
47-Chapter 12. Imports and exports.mp4
46.43 MB
41-Chapter 10. Missing values in concatenated DataFrames.mp4
45.82 MB
46-Chapter 11. Coding challenge.mp4
45.44 MB
09-Chapter 2. Mathematical operations.mp4
45.42 MB
36-Chapter 8. Melting a data set.mp4
45.39 MB
12-Chapter 3. Series methods.mp4
43.48 MB
21-Chapter 5. Filtering a DataFrame.mp4
42.55 MB
33-Chapter 7. Manipulating the Index.mp4
41.90 MB
28-Chapter 6. Splitting strings.mp4
41.73 MB
20-Chapter 4. Extracting values from Series.mp4
41.63 MB
23-Chapter 5. Filtering by condition.mp4
41.61 MB
48-Chapter 12. Exporting a DataFrame to a JSON file.mp4
41.43 MB
52-Chapter 14. Visualization.mp4
40.57 MB
32-Chapter 7. Extracting one or more rows with loc.mp4
40.23 MB
05-Chapter 1. Counting values in a Series.mp4
38.67 MB
44-Chapter 11. Storing multiple timestamps in a DatetimeIndex.mp4
37.75 MB
22-Chapter 5. Filtering by a single condition.mp4
37.57 MB
31-Chapter 7. Sorting a MultiIndex.mp4
37.41 MB
15-Chapter 3. Invoking a function on every Series value with the apply method.mp4
36.79 MB
06-Chapter 2. The Series object.mp4
36.50 MB
42-Chapter 10. Merging on index labels.mp4
36.32 MB
04-Chapter 1. A tour of pandas.mp4
35.74 MB
45-Chapter 11. Date offsets.mp4
34.93 MB
43-Chapter 11. Working with dates and times.mp4
34.67 MB
30-Chapter 7. MultiIndex DataFrames - Scaling up.mp4
34.20 MB
19-Chapter 4. Selecting rows from a DataFrame.mp4
33.31 MB
50-Chapter 13. Configuring pandas.mp4
32.62 MB
49-Chapter 12. Exporting Excel workbooks.mp4
32.41 MB
16-Chapter 4. The DataFrame object.mp4
32.39 MB
07-Chapter 2. Customizing the Series index.mp4
31.95 MB
29-Chapter 7. MultiIndex DataFrames.mp4
31.89 MB
13-Chapter 3. Sorting a Series.mp4
31.44 MB
08-Chapter 2. Creating a Series from Python objects.mp4
31.37 MB
39-Chapter 9. Grouping by multiple columns.mp4
29.90 MB
35-Chapter 8. Additional options for pivot tables.mp4
29.37 MB
51-Chapter 13. Precision.mp4
27.79 MB
27-Chapter 6. String slicing.mp4
27.55 MB
37-Chapter 9. The GroupBy object.mp4
27.37 MB
14-Chapter 3. Counting values with the value_counts method.mp4
27.07 MB
11-Chapter 2. Passing the Series to Python’s built-in functions.mp4
27.04 MB
26-Chapter 6. Working with text data.mp4
25.52 MB
17-Chapter 4. Shared and exclusive attributes of Series and DataFrames.mp4
24.47 MB
10-Chapter 2. Arithmetic operations.mp4
19.18 MB
25-Part 2. Applied pandas.mp4
13.87 MB
01-Part 1. Core pandas.mp4
4.61 MB
TutsNode.com.txt
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