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01 - Numbers and operations.ipynb |
10.42Кб |
02 - Strings.ipynb |
8.95Кб |
03 - Formatting Strings.ipynb |
5.04Кб |
04 - Lists.ipynb |
5.88Кб |
05- Tuples.ipynb |
5.36Кб |
06 - Dictionary.ipynb |
5.55Кб |
07 - if...else.ipynb |
3.67Кб |
08 - while and for loops.ipynb |
5.98Кб |
09 - functions.ipynb |
6.87Кб |
1.1 A lot of python documentation!.html |
87б |
1.1 Anaconda Website.html |
86б |
1.1 Matplotlib website for documentation and tutorials.html |
84б |
1.1 Numpy website for documentation and tutorials.html |
79б |
1.1 Pandas website for documentation and tutorials.html |
87б |
1.1 Seaborn website for documentation and tutorials.html |
88б |
1. Anaconda Installation.mp4 |
16.27Мб |
1. Anaconda Installation.srt |
3.32Кб |
1. Matplotlib Library Introduction.mp4 |
26.59Мб |
1. Matplotlib Library Introduction.srt |
5.62Кб |
1. Numbers and Basic Operations.mp4 |
49.35Мб |
1. Numbers and Basic Operations.srt |
14.61Кб |
1. Numpy Library Introduction.mp4 |
35.04Мб |
1. Numpy Library Introduction.srt |
5.51Кб |
1. Pandas Library Introduction.mp4 |
10.66Мб |
1. Pandas Library Introduction.srt |
4.00Кб |
1. Seaborn Library Introduction.mp4 |
9.67Мб |
1. Seaborn Library Introduction.srt |
3.04Кб |
1. Welcome!.mp4 |
5.45Мб |
1. Welcome!.srt |
1.82Кб |
10. Exercises IV Seaborn Exercises Overview.mp4 |
62.51Мб |
10. Exercises IV Seaborn Exercises Overview.srt |
12.32Кб |
10. Functions - Part II.mp4 |
88.12Мб |
10. Functions - Part II.srt |
22.04Кб |
10. Some Statistical Methods.mp4 |
50.63Мб |
10. Some Statistical Methods.srt |
11.08Кб |
10 - Pandas Pivoting.ipynb |
18.38Кб |
11. Exercises I - Python Exercises Overview.mp4 |
37.88Мб |
11. Exercises I - Python Exercises Overview.srt |
8.49Кб |
11. Methods Dealing with Missing Data.mp4 |
46.25Мб |
11. Methods Dealing with Missing Data.srt |
13.77Кб |
11. Solutions IV Seaborn Solutions.mp4 |
163.50Мб |
11. Solutions IV Seaborn Solutions.srt |
32.98Кб |
11 - Pandas Combining DataFrames - Merge.ipynb |
30.65Кб |
12. Congratulations!.html |
309б |
12. Hierarchy - Multi Index.mp4 |
72.78Мб |
12. Hierarchy - Multi Index.srt |
22.13Кб |
12. Solutions I - Python Solutions.mp4 |
89.86Мб |
12. Solutions I - Python Solutions.srt |
21.96Кб |
12 - Pandas Combining DataFrames - Concatenation and Join.ipynb |
24.49Кб |
13. Methods Restructure Data - Pivot.mp4 |
36.19Мб |
13. Methods Restructure Data - Pivot.srt |
9.41Кб |
13 - Pandas replacing values.ipynb |
13.69Кб |
14. Combine DataFrames Merge.mp4 |
58.72Мб |
14. Combine DataFrames Merge.srt |
18.80Кб |
14 - Pandas Groupby.ipynb |
37.57Кб |
15. Combine DataFrames Concatenation and Join.mp4 |
51.85Мб |
15. Combine DataFrames Concatenation and Join.srt |
14.07Кб |
15 - Pandas built-in functions.ipynb |
31.42Кб |
16. Methods to Modify Data Replace.mp4 |
43.04Мб |
16. Methods to Modify Data Replace.srt |
15.36Кб |
16 - Pandas Cross Tabulation.ipynb |
22.59Кб |
17. Group Data Groupby.mp4 |
69.84Мб |
17. Group Data Groupby.srt |
15.41Кб |
18. Some Useful Built-in Functions.mp4 |
109.19Мб |
18. Some Useful Built-in Functions.srt |
19.37Кб |
19. Correlating Data Cross Tabulation.mp4 |
39.16Мб |
19. Correlating Data Cross Tabulation.srt |
9.14Кб |
1 - Data Visualisation I - Matplotlib.ipynb |
202.11Кб |
1 - Numpy arrays.ipynb |
11.02Кб |
1 - Pandas Series.ipynb |
11.97Кб |
2.2 Jupyter website.html |
81б |
2. Data Structures Series - Part I.mp4 |
27.66Мб |
2. Data Structures Series - Part I.srt |
5.64Кб |
2. Introduction to Data Science.mp4 |
22.15Мб |
2. Introduction to Data Science.srt |
9.26Кб |
2. Jupyter Notebook Walk-through.mp4 |
26.21Мб |
2. Jupyter Notebook Walk-through.srt |
10.43Кб |
2. Matplotlib Creating Plots - Part I.mp4 |
78.04Мб |
2. Matplotlib Creating Plots - Part I.srt |
20.46Кб |
2. Numpy Arrays.mp4 |
89.79Мб |
2. Numpy Arrays.srt |
19.74Кб |
2. Seaborn Notebook Overview.mp4 |
24.52Мб |
2. Seaborn Notebook Overview.srt |
2.92Кб |
2. Strings.mp4 |
59.45Мб |
2. Strings.srt |
22.74Кб |
20. Exercises III Pandas Exercises Overview (using Netflix data).mp4 |
88.38Мб |
20. Exercises III Pandas Exercises Overview (using Netflix data).srt |
11.97Кб |
21. Solutions III Pandas Solutions.mp4 |
220.29Мб |
21. Solutions III Pandas Solutions.srt |
34.72Кб |
2 - Data Visualisation II - Seaborn.ipynb |
1.45Мб |
2 - Numpy arithmetical operations.ipynb |
4.95Кб |
2 - Pandas Dataframes.ipynb |
68.62Кб |
3. Data Structures Series - Part II.mp4 |
95.33Мб |
3. Data Structures Series - Part II.srt |
23.38Кб |
3. Format Print.mp4 |
47.28Мб |
3. Format Print.srt |
11.85Кб |
3. Lecture Materials - All the Jupyter Notebooks.html |
273б |
3. Matplotlib Creating Plots - Part II.mp4 |
93.88Мб |
3. Matplotlib Creating Plots - Part II.srt |
23.52Кб |
3. Numpy Arithmetical Operations.mp4 |
24.37Мб |
3. Numpy Arithmetical Operations.srt |
5.51Кб |
3. Seaborn Distribution Plots.mp4 |
66.59Мб |
3. Seaborn Distribution Plots.srt |
19.86Кб |
3 - Numpy array indexing and selection.ipynb |
13.30Кб |
3 - Pandas Indexing and Selection.ipynb |
24.07Кб |
4. Data Structures DataFrames - Part I.mp4 |
86.03Мб |
4. Data Structures DataFrames - Part I.srt |
16.55Кб |
4. Lists.mp4 |
24.54Мб |
4. Lists.srt |
8.36Кб |
4. Matplotlib Some Plot Types.mp4 |
69.35Мб |
4. Matplotlib Some Plot Types.srt |
14.55Кб |
4. Numpy Selection and Indexing - Part I.mp4 |
30.68Мб |
4. Numpy Selection and Indexing - Part I.srt |
9.44Кб |
4. Seaborn Categorical Plots - Part I.mp4 |
34.12Мб |
4. Seaborn Categorical Plots - Part I.srt |
13.62Кб |
4 - Numpy built-in functions.ipynb |
12.86Кб |
4 - Pandas reindexing.ipynb |
24.95Кб |
5. Data Structures DataFrames - Part II.mp4 |
37.65Мб |
5. Data Structures DataFrames - Part II.srt |
9.51Кб |
5. Numpy Selection and Indexing - Part II.mp4 |
51.58Мб |
5. Numpy Selection and Indexing - Part II.srt |
14.34Кб |
5. Seaborn Categorical Plots - Part II.mp4 |
49.93Мб |
5. Seaborn Categorical Plots - Part II.srt |
15.36Кб |
5. Tuples.mp4 |
18.46Мб |
5. Tuples.srt |
4.76Кб |
5 - Pandas column, row elimination (drop) .ipynb |
19.26Кб |
6. Dictionaries.mp4 |
38.77Мб |
6. Dictionaries.srt |
11.69Кб |
6. Methods to Modify Data Reindex - Part I.mp4 |
12.26Мб |
6. Methods to Modify Data Reindex - Part I.srt |
5.51Кб |
6. Numpy Some Built-in Functions.mp4 |
77.20Мб |
6. Numpy Some Built-in Functions.srt |
18.31Кб |
6. Seaborn Matrix Plots.mp4 |
47.30Мб |
6. Seaborn Matrix Plots.srt |
10.35Кб |
6 - Pandas Sort.ipynb |
12.25Кб |
7. Exercises II Numpy Exercises Overview.mp4 |
33.52Мб |
7. Exercises II Numpy Exercises Overview.srt |
6.21Кб |
7. If Conditions.mp4 |
38.76Мб |
7. If Conditions.srt |
12.74Кб |
7. Methods to Modify Data Reindex - Part II.mp4 |
82.97Мб |
7. Methods to Modify Data Reindex - Part II.srt |
17.81Кб |
7. Seaborn Grid Plots.mp4 |
68.12Мб |
7. Seaborn Grid Plots.srt |
17.74Кб |
7 - Pandas Statistics.ipynb |
102.06Кб |
8. Methods to Modify Data Drop.mp4 |
48.74Мб |
8. Methods to Modify Data Drop.srt |
14.15Кб |
8. Seaborn Regression and Grid Plots - lmplot.mp4 |
33.32Мб |
8. Seaborn Regression and Grid Plots - lmplot.srt |
9.36Кб |
8. Solutions II Numpy Solutions.mp4 |
68.63Мб |
8. Solutions II Numpy Solutions.srt |
15.29Кб |
8. While and For Loops.mp4 |
58.40Мб |
8. While and For Loops.srt |
30.49Кб |
8 - Pandas missing values.ipynb |
22.89Кб |
9. Functions - Part I.mp4 |
67.40Мб |
9. Functions - Part I.srt |
22.82Кб |
9. Methods to Modify Data Sort.mp4 |
42.71Мб |
9. Methods to Modify Data Sort.srt |
15.50Кб |
9. Seaborn Customizing Plots.mp4 |
63.68Мб |
9. Seaborn Customizing Plots.srt |
13.56Кб |
9 - Pandas Multi-index,Hierarchy.ipynb |
32.62Кб |
Bonus Resources.txt |
386б |
data_car_cross.csv |
24.53Кб |
data_car_cross.csv |
24.53Кб |
data_car.data |
29.58Кб |
data_groupby.csv |
344б |
data_nba.csv |
751б |
data_netflix.csv |
2.30Мб |
data_pivot.csv |
303б |
data_restaurant.csv |
9.56Кб |
data_student.csv |
19.82Кб |
Data Visualization - exercises.ipynb |
356.52Кб |
Data Visualization - exercises - solutions.ipynb |
358.78Кб |
Get Bonus Downloads Here.url |
182б |
MyBlogs.pdf |
171.62Кб |
Numpy exercises.ipynb |
8.55Кб |
Numpy exercises - solutions.ipynb |
9.95Кб |
Pandas exercises.ipynb |
171.71Кб |
Pandas exercises - solutions.ipynb |
185.26Кб |
Python Exercises.ipynb |
8.63Кб |
Python Exercises - solutions.ipynb |
9.57Кб |