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| 001 acw-user-data.csv |
199.99Кб |
| 001 Customer Data Preprocessing - Unsolved.mp4 |
120.28Мб |
| 001 File-IO.ipynb |
31.15Кб |
| 001 File IO in Python.mp4 |
246.44Мб |
| 001 Final-Assement.pdf |
289.02Кб |
| 001 Functions and Scope.mp4 |
82.83Мб |
| 001 Introduction Talk.mp4 |
10.30Мб |
| 001 iris.csv |
3.88Кб |
| 001 junk.txt |
63б |
| 001 long-text.txt |
1.27Кб |
| 001 my-file.txt |
16б |
| 001 Pandas in Python Notebook.mp4 |
136.74Мб |
| 001 Pandas-Lecture.ipynb |
26.06Кб |
| 001 Programming Languages and Computation.mp4 |
35.97Мб |
| 001 Programming-Languages-and-Computation.pdf |
753.71Кб |
| 001 Python-Functions-Methods.pdf |
662.79Кб |
| 002 acw-user-data.csv |
199.99Кб |
| 002 another-data.csv |
45б |
| 002 Assignment-Solved.ipynb |
4.25Мб |
| 002 Classes and Methods.mp4 |
107.58Мб |
| 002 commute.json |
999.61Кб |
| 002 CSV-Reader-Writer.ipynb |
13.43Кб |
| 002 Customer Data Preprocessing Solved.mp4 |
141.41Мб |
| 002 employed.json |
730.15Кб |
| 002 Final-Assement.pdf |
289.02Кб |
| 002 FINAL-ASSIGNMENT-SOLVED.rar |
1.15Мб |
| 002 Handling CSV files in Python.mp4 |
110.49Мб |
| 002 installation.pdf |
5.61Мб |
| 002 iris.csv |
3.88Кб |
| 002 multivariate1.png |
17.76Кб |
| 002 multivariate2.png |
34.97Кб |
| 002 multivariate3.png |
95.70Кб |
| 002 processed.json |
964.52Кб |
| 002 Programming in Python.mp4 |
81.87Мб |
| 002 Programming-in-Python.pdf |
662.84Кб |
| 002 python-3.10.1-amd64.exe |
26.87Мб |
| 002 Python and Jupyter Notebook Installation.mp4 |
46.46Мб |
| 002 Python-Classes.pdf |
624.29Кб |
| 002 remove-ccard.json |
275.57Кб |
| 002 retired.json |
234.38Кб |
| 002 sample-data.csv |
212б |
| 002 SampleNotebook.ipynb |
1.22Кб |
| 002 Seaborn.ipynb |
202.06Кб |
| 002 Seaborn visualisation in Python.mp4 |
113.89Мб |
| 002 univariate1.png |
6.45Кб |
| 002 univariate2.png |
5.68Кб |
| 002 univariate3.png |
9.90Кб |
| 003 duck-manifest.json |
186б |
| 003 JSON Reader and Writer in Python.mp4 |
62.52Мб |
| 003 JSON-Reader-Writer.ipynb |
6.74Кб |
| 003 Lets-Play-With-Cats.ipynb |
3.53Кб |
| 003 Playing with cats.mp4 |
40.58Мб |
| 003 Python Commands.mp4 |
85.69Мб |
| 003 Python-Commands.pdf |
668.65Кб |
| 003 titanic.csv |
63.63Кб |
| 003 Workshop4Tasks.ipynb |
43.02Кб |
| 003 Workshop 4 Tasks - Unsolved.mp4 |
212.18Мб |
| 004 duck-collection.json |
567б |
| 004 ex1-data.txt |
1.27Кб |
| 004 L6-Comprehensions-List-and-Dict.ipynb |
17.51Кб |
| 004 List and Dict Comprehensions.mp4 |
267.37Мб |
| 004 Python Data Structures - Lists.mp4 |
95.48Мб |
| 004 Python-Data-Structures-Lists.pdf |
599.84Кб |
| 004 wind-data.csv |
3.79Мб |
| 004 Workshop3Tasks.ipynb |
41.20Кб |
| 004 Workshop 3 Tasks - Unsolved.mp4 |
226.70Мб |
| 004 Workshop4Tasks-Solved.ipynb |
202.60Кб |
| 004 Workshop 4 Tasks - Solved.mp4 |
209.29Мб |
| 005 duck-collection.json |
567б |
| 005 ex1-data.txt |
1.27Кб |
| 005 Python Data Structures - Dictionary and Tuple.mp4 |
79.48Мб |
| 005 Python-Data-Structures-Dictionary-and-Tuples.pdf |
614.45Кб |
| 005 wind-data.csv |
3.79Мб |
| 005 Workshop2Tasks.ipynb |
30.95Кб |
| 005 Workshop 2 Tasks - Unsolved.mp4 |
197.60Мб |
| 005 Workshop3Tasks-Solved.ipynb |
6.27Мб |
| 005 Workshop 3 Tasks - Solved.mp4 |
261.03Мб |
| 006 Workshop1Tasks.ipynb |
26.38Кб |
| 006 Workshop 1 Tasks - Unsolved.mp4 |
134.96Мб |
| 006 Workshop2Tasks-Solved.ipynb |
44.33Кб |
| 006 Workshop 2 Tasks - Solved.mp4 |
185.81Мб |
| 007 Workshop 1 task - Solved.mp4 |
285.95Мб |