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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
excel-to-python-course-master.zip 39.4 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

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1. Installation and Setup/6. Mac OS - Update Anaconda Libraries.mp4 37.0 MB
1. Installation and Setup/1. Introduction to the Course.mp4 35.7 MB
10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.mp4 33.5 MB
4. DataFrames II/2. Filter a DataFrame Based on A Condition.mp4 28.7 MB
9. Merging, Joining, and Concatenating/7. Outer Joins.mp4 27.2 MB
5. DataFrames III/3. Retrieve Rows by Index Label with .loc[].mp4 27.1 MB
10. Working with Dates and Times/15. pd.DateOffset Objects.mp4 26.8 MB
10. Working with Dates and Times/11. Import Financial Data Set with pandas_datareader Library.mp4 26.7 MB
4. DataFrames II/1. This Module's Dataset + Memory Optimization.mp4 25.6 MB
3. DataFrames I/11. The .astype() Method.mp4 25.0 MB
8. GroupBy/2. First Operations with groupby Object.mp4 24.2 MB
10. Working with Dates and Times/5. The pd.to_datetime() Method.mp4 24.0 MB
9. Merging, Joining, and Concatenating/10. Merging by Indexes with the left_index and right_index Parameters.mp4 23.8 MB
1. Installation and Setup/7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4 23.2 MB
7. MultiIndex/14. The .pivot_table() Method.mp4 23.2 MB
8. GroupBy/7. Iterating through Groups.mp4 22.4 MB
2. Series/7. Import Series with the .read_csv() Method.mp4 22.2 MB
7. MultiIndex/2. Create a MultiIndex with the set_index() Method.mp4 22.1 MB
9. Merging, Joining, and Concatenating/8. Left Joins.mp4 22.0 MB
5. DataFrames III/8. Set Multiple Values in DataFrame.mp4 21.5 MB

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【影视】 [CodeForMyself] Обработка и анализ данных на Python. Библиотека Pandas (2021)

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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】 [DesireCourse.Net] Udemy - Data Analysis with Pandas and Python

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1. Installation and Setup/7. Mac OS - Update Anaconda Libraries.mp4 37.0 MB
1. Installation and Setup/1. Introduction to the Course.mp4 35.7 MB
10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.mp4 33.5 MB
4. DataFrames II/2. Filter a DataFrame Based on A Condition.mp4 28.7 MB
9. Merging, Joining, and Concatenating/7. Outer Joins.mp4 27.2 MB
5. DataFrames III/3. Retrieve Rows by Index Label with .loc[].mp4 27.1 MB
10. Working with Dates and Times/15. pd.DateOffset Objects.mp4 26.8 MB
10. Working with Dates and Times/11. Import Financial Data Set with pandas_datareader Library.mp4 26.7 MB
4. DataFrames II/1. This Module's Dataset + Memory Optimization.mp4 25.6 MB
3. DataFrames I/11. The .astype() Method.mp4 25.0 MB
8. GroupBy/2. First Operations with groupby Object.mp4 24.2 MB
10. Working with Dates and Times/5. The pd.to_datetime() Method.mp4 24.0 MB
9. Merging, Joining, and Concatenating/10. Merging by Indexes with the left_index and right_index Parameters.mp4 23.8 MB
7. MultiIndex/14. The .pivot_table() Method.mp4 23.2 MB
1. Installation and Setup/8. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4 23.2 MB
8. GroupBy/7. Iterating through Groups.mp4 22.4 MB
1. Installation and Setup/2. About Me.mp4 22.3 MB
2. Series/7. Import Series with the .read_csv() Method.mp4 22.2 MB
7. MultiIndex/2. Create a MultiIndex with the set_index() Method.mp4 22.1 MB
9. Merging, Joining, and Concatenating/8. Left Joins.mp4 22.0 MB

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【影视】 Python Data Analysis Bootcamp with Pandas and NLTK

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[TutsNode.com] - Python Data Analysis Bootcamp with Pandas and NLTK/3. 02 Introduction to Python (Prerequisite)/15. Classes And Objects.mp4 234.2 MB
[TutsNode.com] - Python Data Analysis Bootcamp with Pandas and NLTK/4. 03 Project - Analyze Text Data with Pandas and NLTK/2. Tokenize Text Data.mp4 176.7 MB
[TutsNode.com] - Python Data Analysis Bootcamp with Pandas and NLTK/3. 02 Introduction to Python (Prerequisite)/12. Loops.mp4 175.2 MB
[TutsNode.com] - Python Data Analysis Bootcamp with Pandas and NLTK/3. 02 Introduction to Python (Prerequisite)/4. Operators.mp4 169.3 MB
[TutsNode.com] - Python Data Analysis Bootcamp with Pandas and NLTK/3. 02 Introduction to Python (Prerequisite)/16. Inheritance Examples.mp4 137.0 MB
[TutsNode.com] - Python Data Analysis Bootcamp with Pandas and NLTK/3. 02 Introduction to Python (Prerequisite)/11. If Statement Examples.mp4 123.7 MB
[TutsNode.com] - Python Data Analysis Bootcamp with Pandas and NLTK/3. 02 Introduction to Python (Prerequisite)/6. List Examples.mp4 115.3 MB
[TutsNode.com] - Python Data Analysis Bootcamp with Pandas and NLTK/3. 02 Introduction to Python (Prerequisite)/2. Variables.mp4 111.7 MB
[TutsNode.com] - Python Data Analysis Bootcamp with Pandas and NLTK/4. 03 Project - Analyze Text Data with Pandas and NLTK/1. Convert CSV File To A Python List.mp4 100.3 MB
[TutsNode.com] - Python Data Analysis Bootcamp with Pandas and NLTK/4. 03 Project - Analyze Text Data with Pandas and NLTK/3. Find Most Popular Lemmatized Words.mp4 97.3 MB
[TutsNode.com] - Python Data Analysis Bootcamp with Pandas and NLTK/3. 02 Introduction to Python (Prerequisite)/8. Dictionaries Examples.mp4 91.5 MB
[TutsNode.com] - Python Data Analysis Bootcamp with Pandas and NLTK/3. 02 Introduction to Python (Prerequisite)/13. Functions.mp4 90.7 MB
[TutsNode.com] - Python Data Analysis Bootcamp with Pandas and NLTK/3. 02 Introduction to Python (Prerequisite)/17. Static Members Examples.mp4 82.4 MB
[TutsNode.com] - Python Data Analysis Bootcamp with Pandas and NLTK/3. 02 Introduction to Python (Prerequisite)/14. Parameters And Return Values Examples.mp4 82.3 MB
[TutsNode.com] - Python Data Analysis Bootcamp with Pandas and NLTK/2. 01 Mammoth Interactive Courses Introduction/2. How To Learn Online Effectively.mp4 77.7 MB
[TutsNode.com] - Python Data Analysis Bootcamp with Pandas and NLTK/3. 02 Introduction to Python (Prerequisite)/3. Type Conversion Examples.mp4 62.7 MB
[TutsNode.com] - Python Data Analysis Bootcamp with Pandas and NLTK/4. 03 Project - Analyze Text Data with Pandas and NLTK/5. Plot Word Frequency.mp4 60.8 MB
[TutsNode.com] - Python Data Analysis Bootcamp with Pandas and NLTK/3. 02 Introduction to Python (Prerequisite)/1. Intro To Course And Python.mp4 60.0 MB
[TutsNode.com] - Python Data Analysis Bootcamp with Pandas and NLTK/3. 02 Introduction to Python (Prerequisite)/9. Ranges Examples.mp4 55.8 MB
[TutsNode.com] - Python Data Analysis Bootcamp with Pandas and NLTK/3. 02 Introduction to Python (Prerequisite)/7. Tuples Examples.mp4 55.0 MB

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【影视】 [DesireCourse.Net] Udemy - The Complete Pandas Bootcamp 2020 Data Science with Python

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23. Python Basics/7. Data Types Lists (Part 2).mp4 140.9 MB
11. Cleaning Data/17. Coding Exercise 11 (Solution).mp4 136.0 MB
17. ---PART 3 COMPREHENSIVE PROJECT CHALLENGE---/4. Olympic Medal Tables (Solution Part 2).mp4 135.0 MB
23. Python Basics/18. Visualization with Matplotlib.mp4 130.3 MB
19. Time Series Basics/5. Creating a customized DatetimeIndex with pd.date_range().mp4 120.2 MB
8. Visualization with Matplotlib/3. Customization of Plots.mp4 108.0 MB
14. Reshaping and Pivoting DataFrames/6. pd.crosstab().mp4 104.3 MB
12. Merging, Joining, and Concatenating Data/13. Joining on different Column Names Indexes.mp4 100.0 MB
25. Statistical Concepts/1. Statistics - Overview, Terms and Vocabulary.mp4 97.9 MB
10. Importing Data/1. Importing csv-files with pd.read_csv.mp4 95.4 MB
11. Cleaning Data/5. Detection of missing Values.mp4 93.7 MB
11. Cleaning Data/10. Handling Removing Duplicates.srt 93.0 MB
11. Cleaning Data/10. Handling Removing Duplicates.mp4 93.0 MB
12. Merging, Joining, and Concatenating Data/2. Adding Rows with append() and pd.concat() (Part 1).mp4 92.3 MB
1. Getting Started/5. Installation of Anaconda.mp4 90.5 MB
23. Python Basics/11. Conditional Statements (if, elif, else, while).mp4 90.2 MB
19. Time Series Basics/7. Downsampling Time Series with resample() (Part 1).mp4 89.7 MB
11. Cleaning Data/6. Removing missing values.mp4 89.6 MB
15. Data Preparation and Feature Creation/8. Discretization and Binning with pd.qcut().mp4 89.5 MB
16. Advanced Visualization with Seaborn/3. Categorical Plots.mp4 89.3 MB

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[TutsNode.com] - Python with Pandas for beginners/2. series - an overview/1. Working with Jupyter Notebook.mp4 180.2 MB
[TutsNode.com] - Python with Pandas for beginners/1. Introduction/2.1 Jupyter_notebook_tutorial.m4v 69.0 MB
[TutsNode.com] - Python with Pandas for beginners/1. Introduction/1. Introduction.mp4 26.9 MB
[TutsNode.com] - Python with Pandas for beginners/4. Exploring Series/8. How to read (access) a Series - part1.mp4 26.5 MB
[TutsNode.com] - Python with Pandas for beginners/3. Why Pandas runs on top of NumPy/1. Why does Pandas rely on NumPy - part 1.mp4 23.4 MB
[TutsNode.com] - Python with Pandas for beginners/2. series - an overview/3. series overview - part 2.mp4 23.1 MB
[TutsNode.com] - Python with Pandas for beginners/3. Why Pandas runs on top of NumPy/2. Why does Pandas rely on Numpy - part 2.mp4 21.1 MB
[TutsNode.com] - Python with Pandas for beginners/4. Exploring Series/6. Attributes of a series - part 1.mp4 21.0 MB
[TutsNode.com] - Python with Pandas for beginners/2. series - an overview/2. series overview - part 1.mp4 20.7 MB
[TutsNode.com] - Python with Pandas for beginners/4. Exploring Series/9. How to read (access) a Series - part 2.mp4 18.5 MB
[TutsNode.com] - Python with Pandas for beginners/4. Exploring Series/1. How to create a Series.mp4 17.8 MB
[TutsNode.com] - Python with Pandas for beginners/4. Exploring Series/2. Practice create a series.mp4 12.9 MB
[TutsNode.com] - Python with Pandas for beginners/1. Introduction/1.2 1_Pandas_introduction.mp4 12.0 MB
[TutsNode.com] - Python with Pandas for beginners/4. Exploring Series/7. Attributes of a series - part 2.mp4 9.3 MB
[TutsNode.com] - Python with Pandas for beginners/4. Exploring Series/4. nan values in Pandas.mp4 9.3 MB
[TutsNode.com] - Python with Pandas for beginners/1. Introduction/2. Data structures Pandas uses.mp4 7.8 MB
[TutsNode.com] - Python with Pandas for beginners/4. Exploring Series/10. How to read (access) a Series - part 3.mp4 4.8 MB
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