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- 【影视】 [ DevCourseWeb.com ] Udemy - The Ultimate Beginners Guide to Data Analysis with Pandas
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收录时间:2024-05-09
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~Get Your Files Here !/3. Dataframes/21. Importation and exportation.mp4 166.9 MB
~Get Your Files Here !/3. Dataframes/23. Homework solution.mp4 140.9 MB
~Get Your Files Here !/3. Dataframes/18. Concatenation and joining.mp4 100.4 MB
~Get Your Files Here !/2. Series/2. Creating series.mp4 94.2 MB
~Get Your Files Here !/3. Dataframes/19. Date conversions.mp4 85.8 MB
~Get Your Files Here !/3. Dataframes/14. Grouping.mp4 82.4 MB
~Get Your Files Here !/3. Dataframes/11. Creating new columns.mp4 79.1 MB
~Get Your Files Here !/3. Dataframes/7. Counting.mp4 75.8 MB
~Get Your Files Here !/3. Dataframes/6. Missing values.mp4 75.8 MB
~Get Your Files Here !/2. Series/5. Accessing elements with iloc.mp4 74.5 MB
~Get Your Files Here !/2. Series/6. Accessing elements with loc.mp4 72.0 MB
~Get Your Files Here !/2. Series/17. Homework solution.mp4 67.6 MB
~Get Your Files Here !/4. Data visualization/4. Bar and pizza plots.mp4 65.7 MB
~Get Your Files Here !/3. Dataframes/15. Grouping with aggregation.mp4 63.1 MB
~Get Your Files Here !/1. Introduction/1. Course content.mp4 61.6 MB
~Get Your Files Here !/3. Dataframes/2. Exploring dataframes.mp4 59.1 MB
~Get Your Files Here !/3. Dataframes/9. Filtering.mp4 56.0 MB
~Get Your Files Here !/2. Series/15. Functions.mp4 54.1 MB
~Get Your Files Here !/3. Dataframes/1. Creating dataframes.mp4 52.9 MB
~Get Your Files Here !/3. Dataframes/20. Date indexes.mp4 47.8 MB
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- 【影视】 [Udemy] The Ultimate Pandas Bootcamp Advanced Python Data Analysis (2021)
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13. Data Formats And IO/3. Reading HTML.mp4 108.8 MB
11. Regex And Text Manipulation/19. Is This A Valid Email.mp4 84.0 MB
11. Regex And Text Manipulation/21. Pandas str contains(), split() And replace() With Regex.mp4 80.0 MB
11. Regex And Text Manipulation/16. Introduction To Regular Expressions.mp4 78.7 MB
13. Data Formats And IO/5. Creating Output The to_ Family Of Methods.mp4 77.6 MB
4. Working With DataFrames/4. BONUS - Four More Ways To Build DataFrames.mp4 76.8 MB
11. Regex And Text Manipulation/23. Solution.mp4 75.9 MB
15. Appendix B - Going Local Installation And Setup/1. Installing Anaconda And Python - Windows.mp4 74.8 MB
3. Series Methods And Handling/28. Transforming With update(), apply() And map().mp4 73.3 MB
5. DataFrames In Depth/33. Element-wise Operations With applymap().mp4 71.8 MB
5. DataFrames In Depth/4. More Approaches To Boolean Masking.mp4 71.7 MB
5. DataFrames In Depth/31. Same-shape Transforms.mp4 70.2 MB
4. Working With DataFrames/22. Part I Collecting The Units.mp4 70.1 MB
11. Regex And Text Manipulation/14. BONUS Parsing Indicators With get_dummies().mp4 69.5 MB
5. DataFrames In Depth/14. Sorting vs. Reordering.mp4 68.4 MB
11. Regex And Text Manipulation/17. More Regex Concepts.mp4 68.3 MB
12. Visualizing Data/9. Other Visualization Options.mp4 66.7 MB
11. Regex And Text Manipulation/18. How To Approach Regex.mp4 66.6 MB
12. Visualizing Data/8. Scatter Plots.mp4 66.5 MB
4. Working With DataFrames/31. BONUS - Min, Max and Idx[MinMax], And Good Foods.mp4 66.0 MB
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- 【影视】 [Michael Kennedy] Переход с Excel на Python с Pandas (2020)
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收录时间:2021-03-10
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04 Intro to Pandas/10-working-with-column-names.mp4 52.8 MB
06 Aggregating, grouping, and merging/08-demo-merging-data-in-pandas.mp4 44.5 MB
06 Aggregating, grouping, and merging/03-examples-of-aggregation-in-pandas.mp4 44.3 MB
06 Aggregating, grouping, and merging/07-demo-merging-data-in-excel.mp4 30.7 MB
06 Aggregating, grouping, and merging/06-demo-pivot-table-and-crosstab.mp4 30.6 MB
07 Data IO (input and output)/03-read-excel-convert-data-types.mp4 29.7 MB
04 Intro to Pandas/06-working-with-column-names.mp4 29.5 MB
05 Data wrangling with Pandas/08-filtering-by-dates.mp4 28.7 MB
05 Data wrangling with Pandas/07-examples-of-booling-filtering-in-pandas.mp4 27.7 MB
08 Case study walk through. Sales commissions/10-cleaned_joined_file.mp4 27.4 MB
08 Case study walk through. Sales commissions/15-product-commission-scenarios.mp4 26.5 MB
05 Data wrangling with Pandas/05-string-and-math-manipulations.mp4 25.8 MB
07 Data IO (input and output)/02-reading-non-tabular-excel-files.mp4 23.1 MB
04 Intro to Pandas/04-demo-understanding-initial-data.mp4 22.4 MB
08 Case study walk through. Sales commissions/08-Cleanup-region.mp4 22.0 MB
08 Case study walk through. Sales commissions/16-product-commission-variable-amounts.mp4 20.7 MB
04 Intro to Pandas/12-advanced-autocomplete-and-help.mp4 20.7 MB
08 Case study walk through. Sales commissions/05-Commission-rate-calc.mp4 20.5 MB
05 Data wrangling with Pandas/04-pandas-dt-the-data-time-accessor.mp4 19.3 MB
08 Case study walk through. Sales commissions/17-commission-state-adjustments.mp4 19.1 MB
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- 【影视】 Pandas Python Programming Language Library From Scratch A-Z™
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收录时间:2023-12-28
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[TutsNode.net] - Pandas Python Programming Language Library From Scratch A-Z™/1. Python Installations (Anaconda Navigator, Jupyter Notebook, Jupyter Lab)/1. Installing Anaconda Distribution for Windows.mp4 128.6 MB
[TutsNode.net] - Pandas Python Programming Language Library From Scratch A-Z™/1. Python Installations (Anaconda Navigator, Jupyter Notebook, Jupyter Lab)/3. Installing Anaconda Distribution for Linux.mp4 125.7 MB
[TutsNode.net] - Pandas Python Programming Language Library From Scratch A-Z™/9. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4 87.7 MB
[TutsNode.net] - Pandas Python Programming Language Library From Scratch A-Z™/9. Functions That Can Be Applied on a DataFrame/5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4 84.8 MB
[TutsNode.net] - Pandas Python Programming Language Library From Scratch A-Z™/6. Structural Operations on Pandas DataFrame/3. Null Values in Pandas Dataframes.mp4 65.4 MB
[TutsNode.net] - Pandas Python Programming Language Library From Scratch A-Z™/11. File Operations in Pandas Library/2. Data Entry with Csv and Txt Files.mp4 62.2 MB
[TutsNode.net] - Pandas Python Programming Language Library From Scratch A-Z™/8. Structural Concatenation Operations in Pandas DataFrame/1. Concatenating Pandas Dataframes Concat Function.mp4 60.9 MB
[TutsNode.net] - Pandas Python Programming Language Library From Scratch A-Z™/1. Python Installations (Anaconda Navigator, Jupyter Notebook, Jupyter Lab)/2. Installing Anaconda Distribution for MacOs.mp4 60.7 MB
[TutsNode.net] - Pandas Python Programming Language Library From Scratch A-Z™/8. Structural Concatenation Operations in Pandas DataFrame/4. Merge Pandas Dataframes Merge() Function Lesson 3.mp4 56.4 MB
[TutsNode.net] - Pandas Python Programming Language Library From Scratch A-Z™/8. Structural Concatenation Operations in Pandas DataFrame/6. Joining Pandas Dataframes Join() Function.mp4 54.4 MB
[TutsNode.net] - Pandas Python Programming Language Library From Scratch A-Z™/8. Structural Concatenation Operations in Pandas DataFrame/2. Merge Pandas Dataframes Merge() Function Lesson 1.mp4 53.8 MB
[TutsNode.net] - Pandas Python Programming Language Library From Scratch A-Z™/10. Pivot Tables in Pandas Library/2. Pivot Tables in Pandas Library.mp4 52.4 MB
[TutsNode.net] - Pandas Python Programming Language Library From Scratch A-Z™/6. Structural Operations on Pandas DataFrame/5. Filling Null Values Fillna() Function.mp4 50.2 MB
[TutsNode.net] - Pandas Python Programming Language Library From Scratch A-Z™/3. Series Structures in the Pandas Library/6. Most Applied Methods on Pandas Series.mp4 46.2 MB
[TutsNode.net] - Pandas Python Programming Language Library From Scratch A-Z™/9. Functions That Can Be Applied on a DataFrame/8. Advanced Aggregation Functions Transform() Function.mp4 45.9 MB
[TutsNode.net] - Pandas Python Programming Language Library From Scratch A-Z™/9. Functions That Can Be Applied on a DataFrame/4. Examining the Data Set 2.mp4 44.6 MB
[TutsNode.net] - Pandas Python Programming Language Library From Scratch A-Z™/5. Element Selection Operations in DataFrame Structures/6. Element Selection with Conditional Operations in.mp4 44.6 MB
[TutsNode.net] - Pandas Python Programming Language Library From Scratch A-Z™/7. Multi-Indexed DataFrame Structures/1. Multi-Index and Index Hierarchy in Pandas DataFrames.mp4 41.4 MB
[TutsNode.net] - Pandas Python Programming Language Library From Scratch A-Z™/9. Functions That Can Be Applied on a DataFrame/2. Examining the Data Set 1.mp4 41.1 MB
[TutsNode.net] - Pandas Python Programming Language Library From Scratch A-Z™/9. Functions That Can Be Applied on a DataFrame/9. Advanced Aggregation Functions Apply() Function.mp4 40.2 MB
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- 【影视】 [pluralsight] Массивы Pandas и структуры данных Pandas Arrays and Data Structures (2023)
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3. Manipulating Data with Pandas/5. Course Project.mp4 31.1 MB
3. Manipulating Data with Pandas/4. String Data.mp4 16.2 MB
2. Pandas Arrays and Data Types/5. Time Delta and Interval.mp4 14.7 MB
2. Pandas Arrays and Data Types/4. Pandas Time stamps.mp4 14.4 MB
3. Manipulating Data with Pandas/3. Sparse Data.mp4 13.7 MB
3. Manipulating Data with Pandas/2. Categorical.mp4 13.3 MB
2. Pandas Arrays and Data Types/1. Course Topics and Goals.mp4 6.7 MB
2. Pandas Arrays and Data Types/3. Pandas Arrays First Look.mp4 6.2 MB
3. Manipulating Data with Pandas/6. Summary.mp4 3.8 MB
1. Course Overview/1. Course Overview.mp4 3.3 MB
3. Manipulating Data with Pandas/1. Introduction.mp4 2.7 MB
2. Pandas Arrays and Data Types/2. Intro to Pandas Arrays.mp4 2.3 MB
2. Pandas Arrays and Data Types/6. Summary.mp4 1.4 MB
3. Manipulating Data with Pandas/5. Course Project.vtt 11.6 kB
2. Pandas Arrays and Data Types/5. Time Delta and Interval.vtt 8.1 kB
2. Pandas Arrays and Data Types/4. Pandas Time stamps.vtt 8.1 kB
3. Manipulating Data with Pandas/4. String Data.vtt 7.8 kB
3. Manipulating Data with Pandas/3. Sparse Data.vtt 7.7 kB
3. Manipulating Data with Pandas/2. Categorical.vtt 6.1 kB
3. Manipulating Data with Pandas/6. Summary.vtt 3.6 kB
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- 【影视】 [ DevCourseWeb.com ] Udemy - 500 Exercises To Master Python Pandas
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收录时间:2023-12-17
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~Get Your Files Here !/4 - Combining DataFrames/14 - Merging DataFrames.mp4 365.5 MB
~Get Your Files Here !/6 - Use cases/19 - Data cleaning and analysis 1 obesity dataset.mp4 321.4 MB
~Get Your Files Here !/5 - Data analysis and visualization/16 - Data analysis.mp4 258.9 MB
~Get Your Files Here !/3 - Data filtering/12 - Filtering DataFrames.mp4 252.4 MB
~Get Your Files Here !/2 - Data exploration and manipulation/6 - Column operations.mp4 248.1 MB
~Get Your Files Here !/2 - Data exploration and manipulation/7 - Date manipulation.mp4 190.7 MB
~Get Your Files Here !/6 - Use cases/20 - Data cleaning and analysis 2 customer churn dataset.mp4 173.4 MB
~Get Your Files Here !/5 - Data analysis and visualization/18 - Time series analysis with Pandas.mp4 164.0 MB
~Get Your Files Here !/2 - Data exploration and manipulation/8 - String manipulation.mp4 162.5 MB
~Get Your Files Here !/3 - Data filtering/11 - loc and iloc methods.mp4 153.8 MB
~Get Your Files Here !/3 - Data filtering/10 - Missing values.mp4 151.8 MB
~Get Your Files Here !/4 - Combining DataFrames/13 - Combining DataFrames.mp4 126.2 MB
~Get Your Files Here !/4 - Combining DataFrames/15 - Reshaping DataFrames.mp4 106.4 MB
~Get Your Files Here !/5 - Data analysis and visualization/17 - Data visualization.mp4 94.1 MB
~Get Your Files Here !/2 - Data exploration and manipulation/5 - Data types.mp4 92.0 MB
~Get Your Files Here !/7 - More learnings/23 - Styling DataFrames.mp4 83.6 MB
~Get Your Files Here !/7 - More learnings/21 - Python dictionaries with Pandas.mp4 81.6 MB
~Get Your Files Here !/2 - Data exploration and manipulation/9 - Categorical data.mp4 77.7 MB
~Get Your Files Here !/7 - More learnings/22 - Pandas pipelines.mp4 75.5 MB
~Get Your Files Here !/7 - More learnings/24 - Functions not to forget.mp4 74.6 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Data Analysis with Pandas and Python
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收录时间:2023-12-20
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1 - Installation and Setup/1 - Introduction to Data Analysis with Pandas and Python.mp4 131.4 MB
5 - DataFrames II Filtering Data/95 - Filter a DataFrame Based on A Condition.mp4 86.3 MB
5 - DataFrames II Filtering Data/94 - This Modules Dataset Memory Optimization.mp4 78.9 MB
10 - Merging Joining and Concatenating DataFrames/167 - Left Joins.mp4 66.2 MB
11 - Working with Dates and Times in Datasets/177 - Create Range of Dates with the pddaterange Method Part 1.mp4 65.3 MB
9 - The GroupBy Object/155 - First Operations with groupby Object.mp4 64.6 MB
3 - Series/45 - Parameters and Arguments.mp4 64.2 MB
10 - Merging Joining and Concatenating DataFrames/166 - Outer Joins.mp4 62.5 MB
1 - Installation and Setup/7 - macOS.mp4 62.1 MB
6 - DataFrames III Data Extraction/116 - Rename Index Labels or Columns in a DataFrame.mp4 60.9 MB
11 - Working with Dates and Times in Datasets/178 - Create Range of Dates with the pddaterange Method Part 2.mp4 59.0 MB
10 - Merging Joining and Concatenating DataFrames/169 - Merging by Indexes with the leftindex and rightindex Parameters.mp4 56.6 MB
5 - DataFrames II Filtering Data/106 - Check for Duplicate DataFrame Rows with the duplicated Method.mp4 56.3 MB
1 - Installation and Setup/8 - macOS.mp4 54.5 MB
1 - Installation and Setup/6 - macOS.mp4 54.3 MB
11 - Working with Dates and Times in Datasets/176 - The pdtodatetime Method.mp4 52.4 MB
1 - Installation and Setup/10 - Windows.mp4 52.2 MB
4 - DataFrames I Introduction/86 - The astype Method II.mp4 51.6 MB
10 - Merging Joining and Concatenating DataFrames/168 - The lefton and righton Parameters.mp4 50.9 MB
7 - Working with Text Data/126 - Common String Methods lower upper title and len.mp4 50.2 MB
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- 【影视】 [CodeForMyself] Обработка и анализ данных на Python. Библиотека Pandas (2021)
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收录时间:2021-04-06
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Бонус. Изучение Python/Урок 31. Модуль Datetime.mp4 188.8 MB
Бонус. Изучение Python/Урок 44. Регулярные выражения.mp4 179.6 MB
Часть 4. Практика работы с Pandas/Урок 8. Задание 1-6. Определяем лучший месяц продаж.mp4 135.8 MB
Бонус. Изучение Python/Урок 48. Модуль ZipFile.mp4 132.7 MB
Бонус. Изучение Python/Урок 34. Парсинг.mp4 132.0 MB
Часть 3. Структура данных DataFrame/Урок 4. Опции и настройки DataFrame.mp4 128.1 MB
Бонус. Изучение Python/Урок 30. Модули в Python.mp4 126.2 MB
Бонус. Изучение Python/Урок 28. Пользовательские функции. Часть 3.mp4 123.3 MB
Часть 4. Практика работы с Pandas/Урок 2. Библиотека Matplotlib. Часть 2.mp4 121.6 MB
Часть 1. Окружение и основы Jupyter Notebook/Урок 4. Язык разметки Markdown.mp4 121.5 MB
Часть 3. Структура данных DataFrame/Урок 10. Работа с Excel. Запись в файлы.mp4 108.6 MB
Бонус. Изучение Python/Урок 35. Ошибки и исключения.mp4 108.6 MB
Часть 1. Окружение и основы Jupyter Notebook/Урок 3. Установка дистрибутива Anaconda.mp4 103.2 MB
Бонус. Изучение Python/Урок 33. Работа с файлами.mp4 102.4 MB
Часть 1. Окружение и основы Jupyter Notebook/Урок 6. Волшебные команды Jupyter Notebook.mp4 102.3 MB
Часть 4. Практика работы с Pandas/Урок 9. Задание 1-7. Определяем лучшие часы продаж.mp4 99.1 MB
Часть 3. Структура данных DataFrame/Урок 9. Работа с NaN.mp4 98.6 MB
Часть 3. Структура данных DataFrame/Урок 2. DataFrame. Чтение данных.mp4 96.7 MB
Бонус. Изучение Python/Урок 12. Оператор IF.mp4 95.7 MB
Бонус. Изучение Python/Урок 20. Кортежи.mp4 92.7 MB
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- 【影视】 Python Machine Learning, Deep Learning, Pandas, Matplotlib
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[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/16 Projects/002 Project - 2.mp4 177.5 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/11 Machine Learning/015 Choosing the right algorithm and model.mp4 156.2 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/05 Numpy Library/008 Using Numpy in Linear Algebra.mp4 117.6 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/08 Matplotlib/008 Basic Plots in Matplotlib I.mp4 109.5 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/07 Data Frame with Pandas/009 Combining Data Frames Part – I.mp4 108.6 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/16 Projects/001 Project - 1.mp4 106.5 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/09 Seaborn/005 Basic Plots in Seaborn.mp4 97.3 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/11 Machine Learning/012 Unsupervised Machine Learning Methods.mp4 92.2 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/15 Transfer Learning/001 What is Transfer Learning.mp4 89.5 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/07 Data Frame with Pandas/010 Combining Data Frames Part – II.mp4 88.3 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/11 Machine Learning/016 Training and testing the model.mp4 88.0 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/06 Using Pandas for Data Manipulation/002 Series and Features.mp4 87.6 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/16 Projects/003 Project - 3.mp4 86.3 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/07 Data Frame with Pandas/001 Data Frame Attributes and Methods Part – I.mp4 83.6 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/12 Artificial Neural Network/003 Creating a Simple ANN.mp4 83.3 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/07 Data Frame with Pandas/006 Missing Data and Data Munging Part I.mp4 83.2 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/05 Numpy Library/005 Numpy Functions.mp4 82.3 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/10 Geoplotlib/003 Example - 2.mp4 80.0 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/05 Numpy Library/007 Numpy Exercises.mp4 77.8 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/13 Convolutional Neural Network (CNN)/001 What is CNN_.mp4 75.9 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Manage Finance Data with Python & Pandas Unique Masterclass
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19. Appendix 1 Python Crash Course (optional)/7. Data Types Lists (Part 2).mp4 140.9 MB
19. Appendix 1 Python Crash Course (optional)/17. Visualization with Matplotlib.mp4 130.3 MB
8. Time Series Data in Pandas Introduction/5. Creating a customized DatetimeIndex with pd.date_range().mp4 120.3 MB
3. Pandas Basics/5. Coding Exercise 0 Coding the Video Lectures.mp4 118.9 MB
5. Data Visualization with Matplotlib and Seaborn/3. Customization of Plots.mp4 108.1 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/21. Coding Exercise 13 (Solution).mp4 101.3 MB
3. Pandas Basics/17. Slicing Rows and Columns with loc (label-based indexing).mp4 95.9 MB
12. Create, Analyze and Optimize Financial Portfolios/12. Coding Exercise 15 (Solution).mp4 92.8 MB
6. Pandas Advanced Topics/8. Adding new Rows to a DataFrame.mp4 92.3 MB
13. Modern Portfolio Theory & Asset Pricing (CAPM, Beta, Alpha, SLM & Risk divers.)/4. The Portfolio Diversification Effect.mp4 90.7 MB
1. Getting Started/5. Installation of Anaconda.mp4 90.4 MB
19. Appendix 1 Python Crash Course (optional)/10. Conditional Statements (if, elif, else, while).mp4 90.2 MB
8. Time Series Data in Pandas Introduction/9. Downsampling Time Series with resample() (Part 1).mp4 89.7 MB
5. Data Visualization with Matplotlib and Seaborn/8. Categorical Seaborn Plots.mp4 89.3 MB
20. Appendix 2 Numpy Crash Course (optional)/11. Visualization and (Linear) Regression.mp4 88.6 MB
4. Pandas Intermediate Topics/35. Coding Exercise 6 (Solution).mp4 88.0 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/2. Importing Financial Data from Excel.mp4 84.6 MB
5. Data Visualization with Matplotlib and Seaborn/9. Seaborn Regression Plots.mp4 83.3 MB
6. Pandas Advanced Topics/18. stack() and unstack().mp4 82.6 MB
17. ---------- PART 4 ADVANCED TOPICS ----------------/2. Filling NA Values with bfill, ffill and interpolation.mp4 82.3 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Manage Finance Data with Python & Pandas Unique Masterclass
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收录时间:2021-03-09
文档个数:484
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19. Appendix 1 Python Crash Course (optional)/7. Data Types Lists (Part 2).mp4 140.9 MB
19. Appendix 1 Python Crash Course (optional)/17. Visualization with Matplotlib.mp4 130.3 MB
8. Time Series Data in Pandas Introduction/5. Creating a customized DatetimeIndex with pd.date_range().mp4 120.3 MB
3. Pandas Basics/5. Coding Exercise 0 Coding the Video Lectures.mp4 118.9 MB
5. Data Visualization with Matplotlib and Seaborn/3. Customization of Plots.mp4 108.1 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/21. Coding Exercise 13 (Solution).mp4 101.3 MB
3. Pandas Basics/17. Slicing Rows and Columns with loc (label-based indexing).mp4 95.9 MB
12. Create, Analyze and Optimize Financial Portfolios/12. Coding Exercise 15 (Solution).mp4 92.8 MB
6. Pandas Advanced Topics/8. Adding new Rows to a DataFrame.mp4 92.3 MB
13. Modern Portfolio Theory & Asset Pricing (CAPM, Beta, Alpha, SLM & Risk divers.)/4. The Portfolio Diversification Effect.mp4 90.7 MB
1. Getting Started/5. Installation of Anaconda.mp4 90.4 MB
19. Appendix 1 Python Crash Course (optional)/10. Conditional Statements (if, elif, else, while).mp4 90.2 MB
8. Time Series Data in Pandas Introduction/9. Downsampling Time Series with resample() (Part 1).mp4 89.7 MB
5. Data Visualization with Matplotlib and Seaborn/8. Categorical Seaborn Plots.mp4 89.3 MB
20. Appendix 2 Numpy Crash Course (optional)/11. Visualization and (Linear) Regression.mp4 88.6 MB
4. Pandas Intermediate Topics/35. Coding Exercise 6 (Solution).mp4 88.0 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/2. Importing Financial Data from Excel.mp4 84.6 MB
5. Data Visualization with Matplotlib and Seaborn/9. Seaborn Regression Plots.mp4 83.3 MB
6. Pandas Advanced Topics/18. stack() and unstack().mp4 82.6 MB
17. ---------- PART 4 ADVANCED TOPICS ----------------/2. Filling NA Values with bfill, ffill and interpolation.mp4 82.3 MB
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[TutsNode.com] - 2021 NumPy and Pandas A-Z™ for Deep and Machine Learning/57 Pandas - Challenges & Solutions/002 Pandas - Difference between Loc and iloc - more.mp4 64.8 MB
[TutsNode.com] - 2021 NumPy and Pandas A-Z™ for Deep and Machine Learning/64 Pandas with SQL/001 Installation, Connection & Import.mp4 62.5 MB
[TutsNode.com] - 2021 NumPy and Pandas A-Z™ for Deep and Machine Learning/10 NumPy - 1-D Array Indexing and Slicing/001 Understanding how indexing and Slicing work on 1-D Arrays.mp4 60.7 MB
[TutsNode.com] - 2021 NumPy and Pandas A-Z™ for Deep and Machine Learning/65 Pandas with Excel/003 Pandas - Cleaning Excel Data Set While Importing.mp4 58.1 MB
[TutsNode.com] - 2021 NumPy and Pandas A-Z™ for Deep and Machine Learning/62 Pandas - Data Cleaning/007 Pandas - Replacing NaN with a value.mp4 53.0 MB
[TutsNode.com] - 2021 NumPy and Pandas A-Z™ for Deep and Machine Learning/04 NumPy - Data Type/001 Understanding NumPy Data Type.mp4 50.3 MB
[TutsNode.com] - 2021 NumPy and Pandas A-Z™ for Deep and Machine Learning/62 Pandas - Data Cleaning/012 Pandas - Data Cleaning - Sales.mp4 48.4 MB
[TutsNode.com] - 2021 NumPy and Pandas A-Z™ for Deep and Machine Learning/58 Pandas - Challenges & Solutions/001 Pandas - iloc & loc.mp4 40.5 MB
[TutsNode.com] - 2021 NumPy and Pandas A-Z™ for Deep and Machine Learning/62 Pandas - Data Cleaning/002 Pandas - Checking for NaN.mp4 39.8 MB
[TutsNode.com] - 2021 NumPy and Pandas A-Z™ for Deep and Machine Learning/02 NumPy - Introduction/005 Exploring - Row Before Column - Why_.mp4 38.4 MB
[TutsNode.com] - 2021 NumPy and Pandas A-Z™ for Deep and Machine Learning/16 NumPy - 3D Indexing and Slicing/003 More on Slicing.mp4 37.8 MB
[TutsNode.com] - 2021 NumPy and Pandas A-Z™ for Deep and Machine Learning/64 Pandas with SQL/007 Creating Table in SQL from Pandas.mp4 35.9 MB
[TutsNode.com] - 2021 NumPy and Pandas A-Z™ for Deep and Machine Learning/30 NumPy - Newaxis/001 Understanding Newaxis.mp4 34.5 MB
[TutsNode.com] - 2021 NumPy and Pandas A-Z™ for Deep and Machine Learning/02 NumPy - Introduction/006 Identifying an Array.mp4 32.6 MB
[TutsNode.com] - 2021 NumPy and Pandas A-Z™ for Deep and Machine Learning/18 NumPy - Summary - Selecting Element From Any n-D Array/001 Summary on Selecting Element From any Dimensional Array.mp4 32.3 MB
[TutsNode.com] - 2021 NumPy and Pandas A-Z™ for Deep and Machine Learning/25 NumPy - Splitting an Array/001 Splitting an Array.mp4 32.2 MB
[TutsNode.com] - 2021 NumPy and Pandas A-Z™ for Deep and Machine Learning/07 NumPy - Attributes of an Array/001 How to find the attributes of an Array - (ndim, shape, sizd, dtype, itemsize).mp4 32.1 MB
[TutsNode.com] - 2021 NumPy and Pandas A-Z™ for Deep and Machine Learning/57 Pandas - Challenges & Solutions/001 Pandas - Difference between Loc and iloc.mp4 32.0 MB
[TutsNode.com] - 2021 NumPy and Pandas A-Z™ for Deep and Machine Learning/59 Pandas - Challenges & Solutions/003 Pandas - Even Columns Without Using Range.mp4 31.8 MB
[TutsNode.com] - 2021 NumPy and Pandas A-Z™ for Deep and Machine Learning/43 NumPy - Data Distribution/002 What is Random Distribution_.mp4 31.0 MB
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2. Pandas Project/16. Pandas Project Part 16.mp4 274.5 MB
2. Pandas Project/6. Pandas Project Part 6.mp4 114.2 MB
2. Pandas Project/8. Pandas Project Part 8.mp4 104.6 MB
2. Pandas Project/10. Pandas Project Part 10.mp4 104.3 MB
1. Introduction/1. Introduction to Pandas Project.mp4 97.7 MB
2. Pandas Project/5. Pandas Project Part 5.mp4 94.4 MB
2. Pandas Project/17. Pandas Project Part 17.mp4 93.8 MB
2. Pandas Project/9. Pandas Project Part 9.mp4 89.2 MB
2. Pandas Project/13. Pandas Project Part 13.mp4 84.4 MB
2. Pandas Project/7. Pandas Project Part 7.mp4 81.6 MB
2. Pandas Project/1. Pandas Project Part 1.mp4 81.1 MB
2. Pandas Project/3. Pandas Project Part 4.mp4 74.1 MB
2. Pandas Project/18. Pandas Project Part 18.mp4 71.1 MB
2. Pandas Project/12. Pandas Project Part 12.mp4 69.7 MB
2. Pandas Project/15. Pandas Project Part 15.mp4 67.6 MB
2. Pandas Project/4. Pandas Project Part 4.mp4 67.1 MB
2. Pandas Project/2. Pandas Project Part 3.mp4 66.8 MB
2. Pandas Project/11. Pandas Project Part 11.mp4 64.0 MB
2. Pandas Project/14. Pandas Project Part 14.mp4 36.5 MB
2. Pandas Project/16. Pandas Project Part 16.srt 37.4 kB
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01 Introduction to the Course/001 Course Introduction.mp4 84.3 MB
01 Introduction to the Course/002 Getting pandas and fundamentals.mp4 29.9 MB
05 Handling for Missing Data Outliers/027 detecting outliers.mp4 46.1 MB
05 Handling for Missing Data Outliers/028 Section Outro.mp4 112.5 MB
05 Handling for Missing Data Outliers/026 Filling Forward And Backward Na.mp4 58.9 MB
05 Handling for Missing Data Outliers/025 drop na.mp4 37.0 MB
05 Handling for Missing Data Outliers/024 Section Intro.mp4 66.4 MB
06 Combining Dataframes/032 Merging dataframes.mp4 30.1 MB
06 Combining Dataframes/029 Section Intro.mp4 82.9 MB
06 Combining Dataframes/033 Joining dataframes.mp4 42.6 MB
06 Combining Dataframes/034 Section Outro.mp4 100.3 MB
06 Combining Dataframes/030 Concatenation.mp4 31.0 MB
06 Combining Dataframes/031 Appending data frames.mp4 31.7 MB
04 Pandas Operations/021 Moving and rolling statistics.mp4 41.9 MB
04 Pandas Operations/019 Column and Dataframe logical categorization.mp4 35.5 MB
04 Pandas Operations/020 Statistical Functions Against Data.mp4 44.2 MB
04 Pandas Operations/018 Column Manipulation Operatings on columns, creating new ones.mp4 28.4 MB
04 Pandas Operations/017 Section intro.mp4 44.6 MB
04 Pandas Operations/022 Rolling apply.mp4 44.2 MB
04 Pandas Operations/023 Section Outro.mp4 68.3 MB
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01 - Installation and Setup/001 Introduction to Data Analysis with Pandas and Python.mp4 131.4 MB
05 - DataFrames II_ Filtering Data/002 Filter a DataFrame Based on A Condition.mp4 86.3 MB
05 - DataFrames II_ Filtering Data/001 This Module's Dataset + Memory Optimization.mp4 78.9 MB
10 - Merging, Joining, and Concatenating DataFrames/007 Left Joins.mp4 66.2 MB
11 - Working with Dates and Times in Datasets/006 Create Range of Dates with the pd.date_range() Method, Part 1.mp4 65.3 MB
09 - The GroupBy Object/002 First Operations with groupby Object.mp4 64.6 MB
04 - DataFrames I_ Introduction/014 Convert DataFrame Column Types with the astype Method.mp4 63.7 MB
10 - Merging, Joining, and Concatenating DataFrames/006 Outer Joins.mp4 62.5 MB
01 - Installation and Setup/007 macOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 62.1 MB
06 - DataFrames III_ Data Extraction/008 Rename Index Labels or Columns in a DataFrame.mp4 60.9 MB
11 - Working with Dates and Times in Datasets/007 Create Range of Dates with the pd.date_range() Method, Part 2.mp4 59.0 MB
10 - Merging, Joining, and Concatenating DataFrames/009 Merging by Indexes with the left_index and right_index Parameters.mp4 56.6 MB
05 - DataFrames II_ Filtering Data/008 Check for Duplicate DataFrame Rows with the duplicated Method.mp4 56.3 MB
01 - Installation and Setup/008 macOS - Unpack Course Materials + The Start and Shutdown Process.mp4 54.5 MB
01 - Installation and Setup/006 macOS - Access the Terminal Application.mp4 54.3 MB
11 - Working with Dates and Times in Datasets/005 The pd.to_datetime() Method.mp4 52.4 MB
04 - DataFrames I_ Introduction/001 Intro to DataFrames I Module.mp4 52.2 MB
10 - Merging, Joining, and Concatenating DataFrames/008 The left_on and right_on Parameters.mp4 50.9 MB
07 - Working with Text Data/002 Common String Methods - lower, upper, title, and len.mp4 50.2 MB
08 - MultiIndex/015 Use the pd.melt method to create a narrow dataset from a wide one.mp4 50.1 MB
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[TutsNode.net] - Python Programming Bundle Intro to Python, Pandas, and OOP/12. Intro to Python Project Automate Data Updates For a Spreadsheet/6. Transform and Validate Transactions.mp4 197.9 MB
[TutsNode.net] - Python Programming Bundle Intro to Python, Pandas, and OOP/12. Intro to Python Project Automate Data Updates For a Spreadsheet/7. Transfer and Save Transactions.mp4 173.2 MB
[TutsNode.net] - Python Programming Bundle Intro to Python, Pandas, and OOP/11. Intro to Python Installing Python and Modules/5. Python Idle.mp4 170.6 MB
[TutsNode.net] - Python Programming Bundle Intro to Python, Pandas, and OOP/12. Intro to Python Project Automate Data Updates For a Spreadsheet/8. Clean Up the Code.mp4 169.5 MB
[TutsNode.net] - Python Programming Bundle Intro to Python, Pandas, and OOP/12. Intro to Python Project Automate Data Updates For a Spreadsheet/3. Reading and Writing to Excel Files.mp4 160.9 MB
[TutsNode.net] - Python Programming Bundle Intro to Python, Pandas, and OOP/12. Intro to Python Project Automate Data Updates For a Spreadsheet/4. Working with CSV Files.mp4 121.7 MB
[TutsNode.net] - Python Programming Bundle Intro to Python, Pandas, and OOP/11. Intro to Python Installing Python and Modules/7. Executing Scripts.mp4 106.8 MB
[TutsNode.net] - Python Programming Bundle Intro to Python, Pandas, and OOP/18. Object-Oriented Programming Magic Functions/3. Make Your Objects Comparable.mp4 104.9 MB
[TutsNode.net] - Python Programming Bundle Intro to Python, Pandas, and OOP/11. Intro to Python Installing Python and Modules/6. Managing Files and Folders.mp4 101.5 MB
[TutsNode.net] - Python Programming Bundle Intro to Python, Pandas, and OOP/12. Intro to Python Project Automate Data Updates For a Spreadsheet/9. Hardening the Script.mp4 99.1 MB
[TutsNode.net] - Python Programming Bundle Intro to Python, Pandas, and OOP/12. Intro to Python Project Automate Data Updates For a Spreadsheet/2. Setting Up Project.mp4 95.8 MB
[TutsNode.net] - Python Programming Bundle Intro to Python, Pandas, and OOP/12. Intro to Python Project Automate Data Updates For a Spreadsheet/5. Dynamic File Paths.mp4 90.6 MB
[TutsNode.net] - Python Programming Bundle Intro to Python, Pandas, and OOP/18. Object-Oriented Programming Magic Functions/2. Make Your Objects Iterable.mp4 88.3 MB
[TutsNode.net] - Python Programming Bundle Intro to Python, Pandas, and OOP/15. Object-Oriented Programming Inheritance and Abstraction/1. Class Inheritance.mp4 85.4 MB
[TutsNode.net] - Python Programming Bundle Intro to Python, Pandas, and OOP/17. Object-Oriented Programming Encapsulation/1. Public and Private.mp4 83.1 MB
[TutsNode.net] - Python Programming Bundle Intro to Python, Pandas, and OOP/22. Pandas Data Processing/2. Processing String Format.mp4 80.8 MB
[TutsNode.net] - Python Programming Bundle Intro to Python, Pandas, and OOP/15. Object-Oriented Programming Inheritance and Abstraction/4. Abstract Methods.mp4 80.7 MB
[TutsNode.net] - Python Programming Bundle Intro to Python, Pandas, and OOP/22. Pandas Data Processing/1. Processing Numerical Format.mp4 80.0 MB
[TutsNode.net] - Python Programming Bundle Intro to Python, Pandas, and OOP/18. Object-Oriented Programming Magic Functions/4. Arithmetic Operations on Objects.mp4 76.2 MB
[TutsNode.net] - Python Programming Bundle Intro to Python, Pandas, and OOP/18. Object-Oriented Programming Magic Functions/8. Assignment 07.mp4 73.8 MB
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01 Python Crash Course/001 Python Crash Course.mp4 1.7 GB
02 Numpy & Pandas for Data Science/001 Numpy & Pandas _ Part 1.mp4 968.9 MB
02 Numpy & Pandas for Data Science/002 Numpy & Pandas _ Part 2.mp4 841.5 MB
03 Data Visualization/001 Data Visualizaton _ Part 1.mp4 633.9 MB
03 Data Visualization/002 Data Visualizaton _ Part 2.mp4 281.5 MB
03 Data Visualization/004 Data Visualization.ipynb 169.3 kB
03 Data Visualization/004 titanic_train.csv 60.3 kB
03 Data Visualization/004 state_wise_daily_covid.csv 30.0 kB
02 Numpy & Pandas for Data Science/002 Numpy Tutorials.ipynb 26.4 kB
02 Numpy & Pandas for Data Science/002 Pandas.ipynb 15.2 kB
02 Numpy & Pandas for Data Science/003 iris.csv 5.1 kB
02 Numpy & Pandas for Data Science/003 IrisClassification.py 1.1 kB
0. Websites you may like/[FCS Forum].url 133 Bytes
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~Get Your Files Here !/1 - Introduction/7 - 7 Data Processing.mp4 399.0 MB
~Get Your Files Here !/2 - Handling Date and Time using Pandas functions/17 - 3 DateTime Reading Dates with Informats.mp4 336.5 MB
~Get Your Files Here !/1 - Introduction/4 - 4 Handling missing data.mp4 319.0 MB
~Get Your Files Here !/1 - Introduction/10 - 10 Concatenation and Merging Logic.mp4 278.4 MB
~Get Your Files Here !/1 - Introduction/14 - 14 String Handling.mp4 272.4 MB
~Get Your Files Here !/1 - Introduction/3 - 3 Pandas DataFrames.mp4 269.7 MB
~Get Your Files Here !/1 - Introduction/6 - 6 Data Input and Data Output.mp4 255.5 MB
~Get Your Files Here !/1 - Introduction/5 - 5 Conditional Selection and Reindexing of a DataFrame.mp4 187.5 MB
~Get Your Files Here !/2 - Handling Date and Time using Pandas functions/18 - 4 DateTime Series DateRange and DateOffs.mp4 178.4 MB
~Get Your Files Here !/1 - Introduction/13 - 13 Handling Duplicates in a DataFrames.mp4 161.6 MB
~Get Your Files Here !/1 - Introduction/2 - 2 Pandas Series.mp4 156.3 MB
~Get Your Files Here !/1 - Introduction/11 - 11 Merging and Joining.mp4 115.8 MB
~Get Your Files Here !/1 - Introduction/8 - 8 Grouping and Pivot table.mp4 115.0 MB
~Get Your Files Here !/1 - Introduction/9 - 9 Concatenating DataFrames and Inserting new rows.mp4 105.0 MB
~Get Your Files Here !/2 - Handling Date and Time using Pandas functions/15 - 1 DateTime Datetime Creation.mp4 84.2 MB
~Get Your Files Here !/2 - Handling Date and Time using Pandas functions/16 - 2 DateTime Pandas datetime functions.mp4 59.1 MB
~Get Your Files Here !/1 - Introduction/12 - 12 Cartesian Product Between DataFrames.mp4 46.4 MB
~Get Your Files Here !/1 - Introduction/1 - Introduction.mp4 30.7 MB
~Get Your Files Here !/1 - Introduction/6 - eventrepository.sas7bdat 131.1 kB
~Get Your Files Here !/1 - Introduction/7 - 7.Data-Processing.ipynb 101.9 kB
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Airodump-NG Scan Analysis Part 5.mp4 189.1 MB
Airodump-NG Scan Analysis Part 1.mp4 141.1 MB
Course Introduction.mp4 115.0 MB
Airodump-NG Scan Analysis Part 4.mp4 110.0 MB
Airodump-NG Scan Analysis Part 3.mp4 109.9 MB
Airodump-NG Scan Analysis Part 2.mp4 90.6 MB
Conclusion.mp4 48.7 MB
Pandas Dataframe - Basics.mp4 48.6 MB
Lab Setup.mp4 45.5 MB
Pandas - Series Basics.mp4 42.5 MB
Pandas Series - Vector Operations.mp4 37.3 MB
Pandas Dataframe - Split, Apply, Combine, GroupBy.mp4 32.6 MB
Numpy.mp4 30.0 MB
Pandas Series - Miscellaneous Operations.mp4 27.6 MB
Pandas Series - Logical String Operations.mp4 27.5 MB
Pandas Dataframe - Apply Function.mp4 26.8 MB
Pandas Dataframe - Split, Apply, Combine, Filter.mp4 25.6 MB
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Pandas Dataframe - Split, Apply, Combine, Aggregate.mp4 22.1 MB
Numpy - Universal Functions.mp4 20.4 MB
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Pandas.2018.1080p.BluRay.x264.AAC5.1-[YTS.MX].mp4 837.7 MB
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