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585B |
| 0 |
452.07KB |
| 01-Part 1. Core pandas.mp4 |
4.61MB |
| 02-Chapter 1. Introducing pandas.mp4 |
57.12MB |
| 03-Chapter 1. Pandas vs. graphical spreadsheet applications.mp4 |
77.56MB |
| 04-Chapter 1. A tour of pandas.mp4 |
35.74MB |
| 05-Chapter 1. Counting values in a Series.mp4 |
38.67MB |
| 06-Chapter 2. The Series object.mp4 |
36.50MB |
| 07-Chapter 2. Customizing the Series index.mp4 |
31.95MB |
| 08-Chapter 2. Creating a Series from Python objects.mp4 |
31.37MB |
| 09-Chapter 2. Mathematical operations.mp4 |
45.42MB |
| 1 |
57.32KB |
| 10 |
81.19KB |
| 10-Chapter 2. Arithmetic operations.mp4 |
19.18MB |
| 11 |
116.72KB |
| 11-Chapter 2. Passing the Series to Python’s built-in functions.mp4 |
27.04MB |
| 12 |
16.56KB |
| 12-Chapter 3. Series methods.mp4 |
43.48MB |
| 13 |
458.11KB |
| 13-Chapter 3. Sorting a Series.mp4 |
31.44MB |
| 14 |
98.26KB |
| 14-Chapter 3. Counting values with the value_counts method.mp4 |
27.07MB |
| 15 |
276.96KB |
| 15-Chapter 3. Invoking a function on every Series value with the apply method.mp4 |
36.79MB |
| 16 |
383.99KB |
| 16-Chapter 4. The DataFrame object.mp4 |
32.39MB |
| 17 |
395.64KB |
| 17-Chapter 4. Shared and exclusive attributes of Series and DataFrames.mp4 |
24.47MB |
| 18 |
75.52KB |
| 18-Chapter 4. Sorting a DataFrame.mp4 |
49.16MB |
| 19 |
439.25KB |
| 19-Chapter 4. Selecting rows from a DataFrame.mp4 |
33.31MB |
| 2 |
294.42KB |
| 20 |
277.01KB |
| 20-Chapter 4. Extracting values from Series.mp4 |
41.63MB |
| 21 |
333.92KB |
| 21-Chapter 5. Filtering a DataFrame.mp4 |
42.55MB |
| 22 |
252.18KB |
| 22-Chapter 5. Filtering by a single condition.mp4 |
37.57MB |
| 23 |
439.59KB |
| 23-Chapter 5. Filtering by condition.mp4 |
41.61MB |
| 24 |
89.24KB |
| 24-Chapter 5. The drop_duplicates method.mp4 |
59.44MB |
| 25 |
212.40KB |
| 25-Part 2. Applied pandas.mp4 |
13.87MB |
| 26 |
510.80KB |
| 26-Chapter 6. Working with text data.mp4 |
25.52MB |
| 27 |
184.34KB |
| 27-Chapter 6. String slicing.mp4 |
27.55MB |
| 28 |
271.21KB |
| 28-Chapter 6. Splitting strings.mp4 |
41.73MB |
| 29 |
72.73KB |
| 29-Chapter 7. MultiIndex DataFrames.mp4 |
31.89MB |
| 3 |
390.73KB |
| 30 |
339.89KB |
| 30-Chapter 7. MultiIndex DataFrames - Scaling up.mp4 |
34.20MB |
| 31 |
308.31KB |
| 31-Chapter 7. Sorting a MultiIndex.mp4 |
37.41MB |
| 32 |
190.82KB |
| 32-Chapter 7. Extracting one or more rows with loc.mp4 |
40.23MB |
| 33 |
384.36KB |
| 33-Chapter 7. Manipulating the Index.mp4 |
41.90MB |
| 34 |
92.15KB |
| 34-Chapter 8. Reshaping and pivoting.mp4 |
57.21MB |
| 35 |
113.95KB |
| 35-Chapter 8. Additional options for pivot tables.mp4 |
29.37MB |
| 36 |
52.38KB |
| 36-Chapter 8. Melting a data set.mp4 |
45.39MB |
| 37 |
109.78KB |
| 37-Chapter 9. The GroupBy object.mp4 |
27.37MB |
| 38 |
64.55KB |
| 38-Chapter 9. Attributes and methods of a GroupBy object.mp4 |
47.19MB |
| 39 |
136.54KB |
| 39-Chapter 9. Grouping by multiple columns.mp4 |
29.90MB |
| 4 |
347.17KB |
| 40 |
97.72KB |
| 40-Chapter 10. Merging, joining, and concatenating.mp4 |
46.84MB |
| 41 |
135.49KB |
| 41-Chapter 10. Missing values in concatenated DataFrames.mp4 |
45.82MB |
| 42 |
211.35KB |
| 42-Chapter 10. Merging on index labels.mp4 |
36.32MB |
| 43 |
461.36KB |
| 43-Chapter 11. Working with dates and times.mp4 |
34.67MB |
| 44 |
133.84KB |
| 44-Chapter 11. Storing multiple timestamps in a DatetimeIndex.mp4 |
37.75MB |
| 45 |
440.79KB |
| 45-Chapter 11. Date offsets.mp4 |
34.93MB |
| 46 |
467.70KB |
| 46-Chapter 11. Coding challenge.mp4 |
45.44MB |
| 47 |
494.01KB |
| 47-Chapter 12. Imports and exports.mp4 |
46.43MB |
| 48 |
27.82KB |
| 48-Chapter 12. Exporting a DataFrame to a JSON file.mp4 |
41.43MB |
| 49 |
330.18KB |
| 49-Chapter 12. Exporting Excel workbooks.mp4 |
32.41MB |
| 5 |
313.90KB |
| 50 |
132.99KB |
| 50-Chapter 13. Configuring pandas.mp4 |
32.62MB |
| 51-Chapter 13. Precision.mp4 |
27.79MB |
| 52-Chapter 14. Visualization.mp4 |
40.57MB |
| 6 |
158.90KB |
| 7 |
68.26KB |
| 8 |
184.24KB |
| 9 |
65.30KB |
| TutsNode.com.txt |
63B |