Общая информация
Название [ DevCourseWeb.com ] Udemy - Master Data Science with Python in 10 Hours 2021
Тип
Размер 3.25Гб

Файлы в торренте
Обратите внимание, что наш сайт не размещает какие-либо файлы из списка. Вы не можете скачать эти файлы или скачать torrent-файл.
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
Статистика распространения по странам
Всего 0
Список IP Полный список IP-адресов, которые скачивают или раздают этот торрент