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【影视】 [DesireCourse.Net] Udemy - The Complete Pandas Bootcamp Master your Data in Python

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22. Python Basics/7. Data Types Lists (Part 2).mp4 140.9 MB
17. -----PART III COMPREHENSIVE PROJECT CHALLENGE -------/4. Olympic Medal Tables (Solution Part 2).mp4 135.0 MB
22. 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
3. Pandas Basics (DataFrame Basics I)/5. Coding Exercise 0 Coding the Video Lectures.mp4 114.6 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
3. Pandas Basics (DataFrame Basics I)/17. Slicing Rows and Columns with loc (label-based indexing).mp4 95.8 MB
10. Importing Data/1. Importing csv-files with pd.read_csv.mp4 95.3 MB
11. Cleaning Data/5. Detection of missing Values.mp4 93.7 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
22. 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
23. The Numpy Package/11. Visualization and (Linear) Regression.mp4 88.7 MB

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【影视】 [DesireCourse.Com] Udemy - Data Analysis with Pandas and Python

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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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08 Working with Databases/051 Section and course outro.mp4 137.6 MB
05 Handling for Missing Data Outliers/028 Section Outro.mp4 112.5 MB
06 Combining Dataframes/034 Section Outro.mp4 100.3 MB
01 Introduction to the Course/001 Course Introduction.mp4 84.3 MB
03 IO Tools/016 Section Outro.mp4 83.3 MB
06 Combining Dataframes/029 Section Intro.mp4 82.9 MB
04 Pandas Operations/023 Section Outro.mp4 68.3 MB
07 Advanced Operations/046 Section Outro.mp4 66.9 MB
05 Handling for Missing Data Outliers/024 Section Intro.mp4 66.4 MB
07 Advanced Operations/040 Correlation and Covariance Part 1.mp4 60.7 MB
07 Advanced Operations/035 Section Intro.mp4 60.5 MB
05 Handling for Missing Data Outliers/026 Filling Forward And Backward Na.mp4 58.9 MB
08 Working with Databases/050 Finishing Manipulation And Graph.mp4 57.2 MB
07 Advanced Operations/044 Buffering basics.mp4 56.3 MB
03 IO Tools/014 Read Json And To Json.mp4 53.3 MB
03 IO Tools/015 Read Pickle And To Pickle.mp4 50.0 MB
03 IO Tools/011 Read Csv And To Csv.mp4 48.3 MB
03 IO Tools/010 Section intro.mp4 48.0 MB
07 Advanced Operations/043 Graphing percent change of income groups.mp4 46.5 MB
05 Handling for Missing Data Outliers/027 detecting outliers.mp4 46.1 MB

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【影视】 [Специалист] Программирование на Python 3. Уровень 4. Библиотеки Pandas, numpy, Matplotlib (2018)

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~Get Your Course Here !/3. Miscellenious/6. Chunksize--- [ FreeCourseWeb.com ] ---.mp4 23.9 MB
~Get Your Course Here !/1. Introduction/5. Read CSV--- [ FreeCourseWeb.com ] ---.mp4 23.8 MB
~Get Your Course Here !/2. Intermediate Level/8. loc in Pandas--- [ FreeCourseWeb.com ] ---.mp4 23.5 MB
~Get Your Course Here !/3. Miscellenious/1. Miscellenious--- [ FreeCourseWeb.com ] ---.mp4 23.0 MB
~Get Your Course Here !/2. Intermediate Level/18. DropNA--- [ FreeCourseWeb.com ] ---.mp4 21.5 MB
~Get Your Course Here !/2. Intermediate Level/14. ILOC--- [ FreeCourseWeb.com ] ---.mp4 19.1 MB
~Get Your Course Here !/3. Miscellenious/4. String Contains and REGEX--- [ FreeCourseWeb.com ] ---.mp4 16.2 MB
~Get Your Course Here !/1. Introduction/7. Indexing--- [ FreeCourseWeb.com ] ---.mp4 15.5 MB
~Get Your Course Here !/2. Intermediate Level/1. Creating DF using Numpy--- [ FreeCourseWeb.com ] ---.mp4 15.1 MB
~Get Your Course Here !/2. Intermediate Level/19. Drop Duplicates--- [ FreeCourseWeb.com ] ---.mp4 15.0 MB
~Get Your Course Here !/1. Introduction/2. Install and Upgrade Pandas and Basics of Jupyter Notebook--- [ FreeCourseWeb.com ] ---.mp4 13.8 MB
~Get Your Course Here !/1. Introduction/3. How to create a dataframe and series--- [ FreeCourseWeb.com ] ---.mp4 13.5 MB
~Get Your Course Here !/2. Intermediate Level/9. What if you mistake a column name--- [ FreeCourseWeb.com ] ---.mp4 13.3 MB
~Get Your Course Here !/2. Intermediate Level/15. Replace--- [ FreeCourseWeb.com ] ---.mp4 12.9 MB
~Get Your Course Here !/3. Miscellenious/2. For Loops--- [ FreeCourseWeb.com ] ---.mp4 12.3 MB
~Get Your Course Here !/2. Intermediate Level/2. Data Type--- [ FreeCourseWeb.com ] ---.mp4 11.9 MB
~Get Your Course Here !/2. Intermediate Level/16. Reset Index--- [ FreeCourseWeb.com ] ---.mp4 11.4 MB
~Get Your Course Here !/2. Intermediate Level/13. Print with Multiple Conditions--- [ FreeCourseWeb.com ] ---.mp4 10.9 MB
~Get Your Course Here !/2. Intermediate Level/6. Sorting--- [ FreeCourseWeb.com ] ---.mp4 10.7 MB
~Get Your Course Here !/2. Intermediate Level/11. Print Certain Amount of Rows and Columns--- [ FreeCourseWeb.com ] ---.mp4 10.6 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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【影视】 [DesireCourse.Net] Udemy - Complete Data Analysis Course with Pandas & NumPy Python

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9. Pandas Exercise/2. Pandas Exercise Solution - I.mp4 139.4 MB
9. Pandas Exercise/3. Pandas Exercise Solution - II.mp4 138.1 MB
5. Python Exercises/2. Solutions.mp4 114.7 MB
1. Introduction/1. What is Data analysis.mp4 100.4 MB
6. Numpy/2. Numpy indexing and selection, Functions.mp4 98.2 MB
18. Data cleaning/3. Data cleaning - Youtube Channel Dataset Part - 3.mp4 95.1 MB
17. Working with Time series data/2. Pandas Timestamp and Datetimeindex object.mp4 90.5 MB
8. Data Frame Pandas/2. Create Data Frame - random data + from File.mp4 89.6 MB
6. Numpy/1. Creating NumPy array.mp4 89.3 MB
8. Data Frame Pandas/13. sorting values.mp4 88.9 MB
8. Data Frame Pandas/3. Data frame attributes and methods.mp4 87.5 MB
1. Introduction/2. Introduction to Pandas.mp4 82.2 MB
8. Data Frame Pandas/15. .loc() and .iloc() method.mp4 78.7 MB
2. Installation and IDE/7. Getting started with Jupyter Lab.mp4 78.6 MB
1. Introduction/3. Course FAQ.mp4 77.2 MB
8. Data Frame Pandas/1. Introduction to Data Frame.mp4 76.6 MB
14. Working with Text Data/3. More String methods.mp4 74.4 MB
8. Data Frame Pandas/8. Filtering Data with one condition.mp4 71.9 MB
11. Pandas Options/1. max_rows , max_columns.mp4 69.3 MB
12. Visualize Data with Pandas/1. Display Stock data with Line Chart.mp4 66.9 MB

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09. Pandas Exercise/2. Pandas Exercise Solution - I.mp4 139.4 MB
09. Pandas Exercise/3. Pandas Exercise Solution - II.mp4 138.1 MB
05. Python Exercises/2. Solutions.mp4 114.7 MB
01. Introduction/1. What is Data analysis.mp4 100.4 MB
06. Numpy/2. Numpy indexing and selection, Functions.mp4 98.2 MB
18. Data cleaning/3. Data cleaning - Youtube Channel Dataset Part - 3.mp4 95.1 MB
17. Working with Time series data/2. Pandas Timestamp and Datetimeindex object.mp4 90.5 MB
08. Data Frame Pandas/2. Create Data Frame - random data + from File.mp4 89.6 MB
06. Numpy/1. Creating NumPy array.mp4 89.3 MB
08. Data Frame Pandas/13. sorting values.mp4 88.9 MB
08. Data Frame Pandas/3. Data frame attributes and methods.mp4 87.5 MB
01. Introduction/2. Introduction to Pandas.mp4 82.2 MB
08. Data Frame Pandas/15. .loc() and .iloc() method.mp4 78.7 MB
02. Installation and IDE/7. Getting started with Jupyter Lab.mp4 78.6 MB
01. Introduction/3. Course FAQ.mp4 77.2 MB
08. Data Frame Pandas/1. Introduction to Data Frame.mp4 76.6 MB
14. Working with Text Data/3. More String methods.mp4 74.4 MB
08. Data Frame Pandas/8. Filtering Data with one condition.mp4 71.9 MB
11. Pandas Options/1. max_rows , max_columns.mp4 69.3 MB
12. Visualize Data with Pandas/1. Display Stock data with Line Chart.mp4 66.9 MB

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