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1.1 0. Pandas intro.pptx |
789.16Кб |
1.1 Amazon_e-commerce_data.xlsx |
8.96Мб |
1.1 calendar 1.csv |
20.82Мб |
1.1 Python variables & Datatypes.pptx |
5.28Мб |
1.1 What is KNIME.pptx |
236.97Кб |
1.2 calendar 2.csv |
21.21Мб |
1.3 calendar 3.csv |
21.49Мб |
1. Introduction.mp4 |
13.09Мб |
1. Introduction.mp4 |
12.67Мб |
1. Introduction.srt |
4.72Кб |
1. Introduction.srt |
4.42Кб |
1. Part 1.mp4 |
98.79Мб |
1. Part 1.mp4 |
108.64Мб |
1. Part 1.mp4 |
25.83Мб |
1. Part 1.mp4 |
39.26Мб |
1. Part 1.srt |
18.69Кб |
1. Part 1.srt |
19.46Кб |
1. Part 1.srt |
7.96Кб |
1. Part 1.srt |
8.15Кб |
1. Setup Python & Jupyter.mp4 |
38.05Мб |
1. Setup Python & Jupyter.srt |
7.71Кб |
1. Understanding Udemy.mp4 |
29.51Мб |
1. Understanding Udemy.srt |
6.73Кб |
1. Variables.mp4 |
28.97Мб |
1. Variables.srt |
11.06Кб |
10. Column Splitter.mp4 |
20.19Мб |
10. Column Splitter.srt |
3.20Кб |
10. High level description (part 2).mp4 |
44.21Мб |
10. High level description (part 2).srt |
8.48Кб |
11.1 9. Pandas Unpivot.pptx |
419.56Кб |
11. Metanode.mp4 |
33.95Мб |
11. Metanode.srt |
6.56Кб |
11. Unpivot.mp4 |
33.14Мб |
11. Unpivot.srt |
10.27Кб |
12.1 10. Pandas Save data.pptx |
414.82Кб |
12. Excel Writer.mp4 |
20.27Мб |
12. Excel Writer.srt |
3.37Кб |
12. Save Data.mp4 |
15.01Мб |
12. Save Data.srt |
3.94Кб |
13.1 11. Pandas Joins.pptx |
696.56Кб |
13. Joins.mp4 |
39.65Мб |
13. Joins.srt |
12.02Кб |
13. Rule Engine.mp4 |
74.82Мб |
13. Rule Engine.srt |
12.61Кб |
14.1 Seller Data.xlsx |
246.01Кб |
14.1 Seller Data.xlsx |
246.01Кб |
14. Joiner.mp4 |
53.49Мб |
14. Joiner.srt |
10.63Кб |
14. Joins extensive example.mp4 |
43.90Мб |
14. Joins extensive example.srt |
8.83Кб |
15. Rule Based Row Filter.mp4 |
60.57Мб |
15. Rule Based Row Filter.srt |
8.42Кб |
16. Concatenate.mp4 |
24.92Мб |
16. Concatenate.srt |
4.53Кб |
17. Unpivot.mp4 |
59.02Мб |
17. Unpivot.srt |
6.76Кб |
18. Row FIlter.mp4 |
59.30Мб |
18. Row FIlter.srt |
8.93Кб |
2.10 calendar_output.csv |
68.27Мб |
2.1 1. Pandas Creating and Indexing.pptx |
476.76Кб |
2.11 calendar_output.csv |
63.66Мб |
2.12 calendar_output.csv |
68.27Мб |
2.13 listings_output.csv |
8.23Мб |
2.14 listings_output.csv |
8.23Мб |
2.15 listings_output.xlsx |
3.84Мб |
2.16 listings_output.xlsx |
3.84Мб |
2.17 listings.csv |
9.12Мб |
2.18 reviews_detailed.csv |
170.33Мб |
2.19 Sales data Unpivot.csv |
300б |
2.1 Amazon e-commerce data.csv |
3.02Мб |
2.1 Lists in Python.pdf |
61.75Кб |
2.1 Nodes.pptx |
281.60Кб |
2.20 Seller Data.xlsx |
246.01Кб |
2.2 Amazon_e-commerce_data.xlsx |
8.96Мб |
2.2 Amazon e-commerce data.csv |
3.02Мб |
2.3 Amazon_output_2.xlsx |
8.13Мб |
2.4 Amazon_output.xlsx |
6.01Мб |
2.5 Amzaon_output_1.xlsx |
5.20Мб |
2.6 calendar 1.csv |
20.82Мб |
2.7 calendar 2.csv |
21.20Мб |
2.8 calendar 3.csv |
21.49Мб |
2.9 calendar_output.csv |
63.66Мб |
2. Attachments.mp4 |
4.36Мб |
2. Attachments.srt |
1.10Кб |
2. Create Dataframe & indexing.mp4 |
35.05Мб |
2. Create Dataframe & indexing.srt |
11.72Кб |
2. Lists.mp4 |
29.66Мб |
2. Lists.srt |
11.80Кб |
2. Nodes.mp4 |
6.10Мб |
2. Nodes.srt |
2.93Кб |
2. Part 2.mp4 |
39.13Мб |
2. Part 2.mp4 |
104.63Мб |
2. Part 2.mp4 |
40.33Мб |
2. Part 2.mp4 |
39.79Мб |
2. Part 2.srt |
9.70Кб |
2. Part 2.srt |
16.85Кб |
2. Part 2.srt |
10.11Кб |
2. Part 2.srt |
6.13Кб |
2. Setup KNIME.mp4 |
12.27Мб |
2. Setup KNIME.srt |
2.68Кб |
3.1 2. Pandas Loading data & reading.pptx |
414.65Кб |
3.1 listings.csv |
9.12Мб |
3.1 Tuples and Sets.pptx |
426.00Кб |
3.1 Workflow_METANODE.pptx |
546.71Кб |
3. Loading & Reading.mp4 |
26.23Мб |
3. Loading & Reading.srt |
6.02Кб |
3. Part 3.mp4 |
66.67Мб |
3. Part 3.mp4 |
62.65Мб |
3. Part 3.mp4 |
59.53Мб |
3. Part 3.mp4 |
87.65Мб |
3. Part 3.srt |
13.95Кб |
3. Part 3.srt |
11.12Кб |
3. Part 3.srt |
13.58Кб |
3. Part 3.srt |
11.88Кб |
3. Tuples and Sets.mp4 |
25.67Мб |
3. Tuples and Sets.srt |
9.20Кб |
3. Workflow & Metanode.mp4 |
14.48Мб |
3. Workflow & Metanode.srt |
4.71Кб |
4.1 3. Pandas Adding and Deleting.pptx |
419.41Кб |
4.1 Amazon e-commerce data.csv |
3.02Мб |
4.1 Dictionaries.pptx |
423.12Кб |
4. Adding & Deleting Column.mp4 |
35.54Мб |
4. Adding & Deleting Column.srt |
9.53Кб |
4. Create Workflow.mp4 |
29.89Мб |
4. Create Workflow.srt |
6.11Кб |
4. Dictionaries.mp4 |
28.07Мб |
4. Dictionaries.srt |
9.35Кб |
4. Part 4.mp4 |
42.05Мб |
4. Part 4.mp4 |
43.58Мб |
4. Part 4.mp4 |
31.75Мб |
4. Part 4.mp4 |
54.08Мб |
4. Part 4.srt |
7.72Кб |
4. Part 4.srt |
8.63Кб |
4. Part 4.srt |
8.16Кб |
4. Part 4.srt |
6.95Кб |
5.1 4. Pandas Concatenate.pptx |
417.54Кб |
5.1 Python Conditions.pptx |
427.55Кб |
5. Concatenate.mp4 |
20.24Мб |
5. Concatenate.srt |
6.12Кб |
5. Conditions.mp4 |
33.33Мб |
5. Conditions.srt |
12.55Кб |
5. Constant Value Column.mp4 |
30.56Мб |
5. Constant Value Column.srt |
6.14Кб |
5. Part 5.mp4 |
48.77Мб |
5. Part 5.mp4 |
55.38Мб |
5. Part 5.mp4 |
44.67Мб |
5. Part 5.srt |
8.83Кб |
5. Part 5.srt |
11.16Кб |
5. Part 5.srt |
9.32Кб |
6.1 5. Pandas Filtering rows.pptx |
419.33Кб |
6.1 Amzaon_output_1.xlsx |
5.20Мб |
6.1 Python Functions.pptx |
422.45Кб |
6. Column Resorter.mp4 |
32.56Мб |
6. Column Resorter.srt |
5.50Кб |
6. Filtering rows.mp4 |
29.73Мб |
6. Filtering rows.srt |
8.61Кб |
6. Functions.mp4 |
40.31Мб |
6. Functions.srt |
16.63Кб |
6. Part 6.mp4 |
61.20Мб |
6. Part 6.srt |
10.39Кб |
7.1 6. Pandas Iterate each row.pptx |
414.85Кб |
7.1 Python Loops.pptx |
463.34Кб |
7. Iterate each row.mp4 |
40.15Мб |
7. Iterate each row.srt |
10.47Кб |
7. Loops.mp4 |
29.12Мб |
7. Loops.srt |
12.23Кб |
7. Missing Values.mp4 |
38.32Мб |
7. Missing Values.srt |
6.05Кб |
8.1 7. Pandas Re arranging columns.pptx |
415.49Кб |
8. Re arranging columns.mp4 |
15.46Мб |
8. Re arranging columns.srt |
3.14Кб |
8. String Manipulation.mp4 |
86.54Мб |
8. String Manipulation.srt |
9.77Кб |
9.1 8. Pandas High level description (2 parts).pptx |
438.80Кб |
9. High level description (part 1).mp4 |
47.55Мб |
9. High level description (part 1).srt |
15.12Кб |
9. Math Formula.mp4 |
75.39Мб |
9. Math Formula.srt |
11.58Кб |
Bonus Resources.txt |
386б |
Get Bonus Downloads Here.url |
182б |