DesireCourse Net Udemy The Complete Pandas Bootcamp Master your Data in Python

DesireCourse Net Udemy The Complete Pandas Bootcamp Master your Data in Python

Name	[DesireCourse.Net] Udemy - The Complete Pandas Bootcamp Master your Data in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	10.7 GB
Total Files	475
Hash	D05763701EC153BC6A3710934AF28050CDA2A9A9

/1. Getting Started/
1. Overview Student FAQ.mp4	50.8 MB
1. Overview Student FAQ.vtt	10.7 KB
2. Tips How to get the most out of this course.mp4	45.7 MB
2. Tips How to get the most out of this course.vtt	6.0 KB
3. Did you know that....mp4	32.8 MB
3. Did you know that....vtt	4.7 KB
4. More FAQ Important Information.html	5.6 KB
5. Installation of Anaconda.mp4	90.5 MB
5. Installation of Anaconda.vtt	8.0 KB
5.1 Installing on Windows.html	0.1 KB
5.2 Installing on macOS.html	0.1 KB
5.3 Installing on Linux.html	0.1 KB
6. Opening a Jupyter Notebook.mp4	68.2 MB
6. Opening a Jupyter Notebook.vtt	9.8 KB
7. How to use Jupyter Notebooks.mp4	69.5 MB
7. How to use Jupyter Notebooks.vtt	15.2 KB
/10. Importing Data/
1. Importing csv-files with pd.read_csv.mp4	95.3 MB
2. Importing messy csv-files with pd.read_csv.mp4	66.3 MB
2. Importing messy csv-files with pd.read_csv.vtt	9.7 KB
3. OLD Importing Data from Excel with pd.read_excel().mp4	54.4 MB
3. OLD Importing Data from Excel with pd.read_excel().vtt	10.8 KB
4. NEW Importing Data from Excel with pd.read_excel().mp4	77.5 MB
4. NEW Importing Data from Excel with pd.read_excel().vtt	12.9 KB
5. Importing messy Data from Excel with pd.read_excel().mp4	76.0 MB
5. Importing messy Data from Excel with pd.read_excel().vtt	8.0 KB
6. Importing Data from the Web with pd.read_html().mp4	60.8 MB
6. Importing Data from the Web with pd.read_html().vtt	8.0 KB
7. Coding Exercise 10 (Intro).mp4	13.0 MB
7. Coding Exercise 10 (Intro).vtt	2.6 KB
8. Coding Exercise 10 (Solution).html	0.4 KB
/11. Cleaning Data/
1. First Inspection & Handling of inconsistent Data.mp4	71.6 MB
1. First Inspection & Handling of inconsistent Data.vtt	11.8 KB
10. Handling Removing Duplicates.mp4	93.0 MB
10. Handling Removing Duplicates.vtt	13.9 KB
11. Detection of Outliers.mp4	46.2 MB
11. Detection of Outliers.vtt	9.4 KB
12. Handling Removing Outliers.mp4	31.1 MB
12. Handling Removing Outliers.vtt	6.2 KB
13. Categorical Data.mp4	47.7 MB
13. Categorical Data.vtt	8.2 KB
14. Coding Exercise 11 (Intro).mp4	11.4 MB
14. Coding Exercise 11 (Intro).vtt	2.2 KB
15. Coding Exercise 11 (Solution).html	0.4 KB
2. String Operations.mp4	84.8 MB
2. String Operations.vtt	13.2 KB
3. Changing Datatype of Columns with astype().mp4	40.7 MB
3. Changing Datatype of Columns with astype().vtt	7.3 KB
4. Intro NA values missing values.mp4	47.9 MB
4. Intro NA values missing values.vtt	9.5 KB
5. Detection of missing Values.mp4	93.7 MB
5. Detection of missing Values.vtt	15.5 KB
6. Removing missing values.mp4	89.6 MB
6. Removing missing values.vtt	16.5 KB
7. Replacing missing values.mp4	25.8 MB
7. Replacing missing values.vtt	4.7 KB
8. Intro Duplicates.mp4	21.2 MB
8. Intro Duplicates.vtt	5.7 KB
9. Detection of Duplicates.mp4	83.1 MB
9. Detection of Duplicates.vtt	13.5 KB
/12. Merging, Joining, and Concatenating Data/
1. Intro.html	0.6 KB
10. Right Joins (without Intersection) with merge().mp4	15.8 MB
10. Right Joins (without Intersection) with merge().vtt	2.3 KB
11. Left Joins with merge().mp4	25.2 MB
11. Left Joins with merge().vtt	4.7 KB
12. Right Joins with merge().mp4	28.7 MB
12. Right Joins with merge().vtt	4.1 KB
13. Joining on different Column Names Indexes.mp4	100.0 MB
13. Joining on different Column Names Indexes.vtt	14.7 KB
14. Joining on more than one Column.mp4	40.6 MB
14. Joining on more than one Column.vtt	8.4 KB
15. pd.merge() and join().mp4	37.2 MB
15. pd.merge() and join().vtt	6.2 KB
16. Coding Exercise 12 (Intro).mp4	9.0 MB
16. Coding Exercise 12 (Intro).vtt	1.3 KB
17. Coding Exercise 12 (Solution).html	0.4 KB
2. Adding Rows with append() and pd.concat() (Part 1).mp4	92.3 MB
2. Adding Rows with append() and pd.concat() (Part 1).vtt	14.0 KB
3. Adding Rows with pd.concat() (Part 2).mp4	59.7 MB
3. Adding Rows with pd.concat() (Part 2).vtt	10.2 KB
4. Arithmetic with Pandas Objects Data Alignment.mp4	40.8 MB
4. Arithmetic with Pandas Objects Data Alignment.vtt	8.2 KB
5. EXCURSUS Comparing two DataFrames Identify Differences.html	2.7 KB
6. Outer Joins with merge().mp4	84.0 MB
6. Outer Joins with merge().vtt	14.1 KB
7. Inner Joins with merge().mp4	16.3 MB
7. Inner Joins with merge().vtt	3.0 KB
8. Outer Joins (without Intersection) with merge().mp4	33.0 MB
8. Outer Joins (without Intersection) with merge().vtt	4.9 KB
9. Left Joins (without Intersection) with merge().mp4	22.9 MB
9. Left Joins (without Intersection) with merge().vtt	3.5 KB
/13. GroupBy Operations/
1. Intro.mp4	10.6 MB
1. Intro.vtt	2.4 KB
10. Generalizing split-apply-combine with apply().mp4	44.9 MB
10. Generalizing split-apply-combine with apply().vtt	9.0 KB
11. Hierarchical Indexing with Groupby.mp4	34.5 MB
11. Hierarchical Indexing with Groupby.vtt	6.8 KB
12. stack() and unstack().mp4	82.6 MB
12. stack() and unstack().vtt	14.8 KB
13. GroupBy 2.html	0.1 KB
14. Coding Exercise 13 (Intro).mp4	12.4 MB
14. Coding Exercise 13 (Intro).vtt	2.2 KB
15. Coding Exercise 13 (Solution).mp4	85.5 MB
15. Coding Exercise 13 (Solution).vtt	13.6 KB
2. Understanding the GroupBy Object.mp4	48.5 MB
2. Understanding the GroupBy Object.vtt	8.8 KB
3. Splitting with many Keys.mp4	52.3 MB
3. Splitting with many Keys.vtt	7.3 KB
4. split-apply-combine explained.mp4	49.4 MB
4. split-apply-combine explained.vtt	10.6 KB
5. split-apply-combine applied.mp4	74.1 MB
5. split-apply-combine applied.vtt	12.8 KB
6. GroupBy 1.html	0.1 KB
7. Advanced aggregation with agg().mp4	31.7 MB
7. Advanced aggregation with agg().vtt	6.2 KB
8. Transformation with transform().mp4	37.1 MB
8. Transformation with transform().vtt	6.7 KB
9. Replacing NA Values by group-specific Values.mp4	46.9 MB
9. Replacing NA Values by group-specific Values.vtt	7.8 KB
/14. Reshaping and Pivoting DataFrames/
1. Intro.html	0.9 KB
2. Transposing Rows and Columns.mp4	71.8 MB
2. Transposing Rows and Columns.vtt	11.7 KB
3. Pivoting DataFrames with pivot().mp4	58.6 MB
3. Pivoting DataFrames with pivot().vtt	10.4 KB
4. Limits of pivot().mp4	61.1 MB
4. Limits of pivot().vtt	11.2 KB
5. pivot_table().mp4	60.9 MB
5. pivot_table().vtt	14.1 KB
6. pd.crosstab().mp4	104.3 MB
6. pd.crosstab().vtt	19.1 KB
7. melting DataFrames with melt().mp4	51.9 MB
7. melting DataFrames with melt().vtt	9.7 KB
8. Coding Exercsie 14 (Intro).mp4	7.1 MB
8. Coding Exercsie 14 (Intro).vtt	1.0 KB
9. Coding Exercise 14 (Solution).html	0.4 KB
/15. Data Preparation and Feature Creation/
1. Intro.html	0.7 KB
10. Scaling Standardization.mp4	59.1 MB
10. Scaling Standardization.vtt	8.8 KB
11. Creating Dummy Variables.mp4	57.9 MB
11. Creating Dummy Variables.vtt	9.9 KB
12. String Operations.mp4	31.1 MB
12. String Operations.vtt	4.9 KB
13. Coding Exercise 15 (Intro).mp4	15.8 MB
13. Coding Exercise 15 (Intro).vtt	2.7 KB
14. Coding Exercise 15 (Solution).html	0.4 KB
2. Arithmetic Operations (Part 1).mp4	66.6 MB
2. Arithmetic Operations (Part 1).vtt	13.2 KB
3. Arithmetic Operations (Part 2).mp4	61.3 MB
3. Arithmetic Operations (Part 2).vtt	12.9 KB
4. TransformationMapping with map().mp4	44.8 MB
4. TransformationMapping with map().vtt	7.2 KB
5. Conditional Transformation.mp4	35.0 MB
5. Conditional Transformation.vtt	7.6 KB
6. Discretization and Binning with pd.cut() (Part 1).mp4	76.6 MB
6. Discretization and Binning with pd.cut() (Part 1).vtt	12.5 KB
7. Discretization and Binning with pd.cut() (Part 2).mp4	34.3 MB
7. Discretization and Binning with pd.cut() (Part 2).vtt	5.5 KB
8. Discretization and Binning with pd.qcut().mp4	89.5 MB
8. Discretization and Binning with pd.qcut().vtt	14.5 KB
9. Floors and Caps.mp4	41.2 MB
9. Floors and Caps.vtt	8.0 KB
/16. Advanced Visualization with Seaborn/
1. Intro.html	0.8 KB
2. First Steps in Seaborn.mp4	23.2 MB
2. First Steps in Seaborn.vtt	6.3 KB
3. Categorical Plots.mp4	89.3 MB
3. Categorical Plots.vtt	15.2 KB
4. Joint Plots Regression Plots.mp4	83.5 MB
4. Joint Plots Regression Plots.vtt	12.5 KB
5. Matrixplots Heatmaps.mp4	44.9 MB
5. Matrixplots Heatmaps.vtt	9.3 KB
6. Coding Exercise 16 (Intro).mp4	9.4 MB
6. Coding Exercise 16 (Intro).vtt	1.1 KB
7. Coding Exercise 16 (Solution).html	0.4 KB
/17. -----PART III COMPREHENSIVE PROJECT CHALLENGE -------/
1. Olympic Medal Tables (Intro).mp4	4.7 MB
1. Olympic Medal Tables (Intro).vtt	0.7 KB
2. Olympic Medal Tables (Instruction & Hints).mp4	60.5 MB
2. Olympic Medal Tables (Instruction & Hints).vtt	8.5 KB
3. Olympic Medal Tables (Solution Part 1).mp4	40.3 MB
3. Olympic Medal Tables (Solution Part 1).vtt	5.9 KB
4. Olympic Medal Tables (Solution Part 2).mp4	135.0 MB
4. Olympic Medal Tables (Solution Part 2).vtt	20.5 KB
5. Olympic Medal Tables (Solution Part 3).mp4	28.3 MB
5. Olympic Medal Tables (Solution Part 3).vtt	6.2 KB
/18. --------PART IV MANAGING TIME SERIES DATA WITH PANDAS----------/
1. Welcome to Part III Time Series Data.html	0.7 KB
/19. Time Series Basics/
1. Importing Time Series Data from csv-files.mp4	43.8 MB
1. Importing Time Series Data from csv-files.vtt	8.7 KB
10. Advanced Indexing with reindex().mp4	53.0 MB
10. Advanced Indexing with reindex().vtt	9.2 KB
2. Converting strings to datetime objects with pd.to_datetime().mp4	60.8 MB
2. Converting strings to datetime objects with pd.to_datetime().vtt	9.9 KB
3. Initial Analysis Visualization of Time Series.mp4	36.7 MB
3. Initial Analysis Visualization of Time Series.vtt	6.1 KB
4. Indexing and Slicing Time Series.mp4	50.5 MB
4. Indexing and Slicing Time Series.vtt	7.6 KB
5. Creating a customized DatetimeIndex with pd.date_range().mp4	120.2 MB
5. Creating a customized DatetimeIndex with pd.date_range().vtt	16.1 KB
6. More on pd.date_range().mp4	13.0 MB
6. More on pd.date_range().vtt	3.2 KB
7. Downsampling Time Series with resample() (Part 1).mp4	89.7 MB
7. Downsampling Time Series with resample() (Part 1).vtt	14.7 KB
8. Downsampling Time Series with resample (Part 2).mp4	51.5 MB
8. Downsampling Time Series with resample (Part 2).vtt	9.0 KB
9. The PeriodIndex object.mp4	40.7 MB
9. The PeriodIndex object.vtt	6.4 KB
/2. --------PART I BUILDING BLOCKS--------/
1. Welcome to PART I - Pandas Building Blocks.html	0.6 KB
/20. Time Series Advanced Financial Time Series/
1. Intro.html	1.0 KB
10. Financial Time Series - Covariance and Correlation.mp4	27.0 MB
10. Financial Time Series - Covariance and Correlation.vtt	5.0 KB
11. Helpful DatetimeIndex Attributes and Methods.mp4	46.5 MB
11. Helpful DatetimeIndex Attributes and Methods.vtt	6.4 KB
12. Filling NA Values with bfill, ffill and interpolation.mp4	82.3 MB
12. Filling NA Values with bfill, ffill and interpolation.vtt	10.7 KB
13. Coding Exercise 17 (Intro).mp4	11.3 MB
13. Coding Exercise 17 (Intro).vtt	2.1 KB
14. Coding Exercise 17 (Solution).html	0.4 KB
2. NEW Getting Ready (Installing required package).mp4	22.8 MB
2. NEW Getting Ready (Installing required package).vtt	2.5 KB
3. NEW Importing Stock Price Data from Yahoo Finance (it still works!).mp4	75.4 MB
3. NEW Importing Stock Price Data from Yahoo Finance (it still works!).vtt	9.0 KB
4. Initial Inspection and Visualization.mp4	44.4 MB
4. Initial Inspection and Visualization.vtt	5.5 KB
5. Normalizing Time Series to a Base Value (100).mp4	46.4 MB
5. Normalizing Time Series to a Base Value (100).vtt	6.9 KB
6. The shift() method.mp4	37.5 MB
6. The shift() method.vtt	7.7 KB
7. The methods diff() and pct_change().mp4	42.2 MB
7. The methods diff() and pct_change().vtt	7.6 KB
8. Measuring Stock Performance with MEAN Returns and STD of Returns.mp4	46.0 MB
8. Measuring Stock Performance with MEAN Returns and STD of Returns.vtt	9.6 KB
9. Financial Time Series - Return and Risk.mp4	56.2 MB
9. Financial Time Series - Return and Risk.vtt	9.0 KB
/21. ------APPENDIX PYTHON BASICS AND NUMPY--------/
1. Welcome to the Appendix.html	0.4 KB
/22. Python Basics/
1. Intro.mp4	6.2 MB
1. Intro.vtt	2.6 KB
10. Operators & Booleans.mp4	62.4 MB
10. Operators & Booleans.vtt	9.9 KB
11. Conditional Statements (if, elif, else, while).mp4	90.2 MB
11. Conditional Statements (if, elif, else, while).vtt	13.7 KB
12. For Loops.mp4	61.3 MB
12. For Loops.vtt	10.2 KB
13. Key words break, pass, continue.mp4	38.5 MB
13. Key words break, pass, continue.vtt	6.5 KB
14. Generating Random Numbers.mp4	40.0 MB
14. Generating Random Numbers.vtt	7.0 KB
15. User Defined Functions (Part 1).mp4	67.5 MB
15. User Defined Functions (Part 1).vtt	9.4 KB
16. User Defined Functions (Part 2).mp4	60.2 MB
16. User Defined Functions (Part 2).vtt	6.9 KB
17. User Defined Functions (Part 3).mp4	54.7 MB
17. User Defined Functions (Part 3).vtt	7.9 KB
18. Visualization with Matplotlib.mp4	130.3 MB
18. Visualization with Matplotlib.vtt	14.8 KB
19. Python Basics.html	0.1 KB
2. First Steps.mp4	35.9 MB
2. First Steps.vtt	9.0 KB
20. Python Basics Quiz Solution.mp4	40.1 MB
20. Python Basics Quiz Solution.vtt	12.7 KB
3. Variables.mp4	33.0 MB
3. Variables.vtt	7.3 KB
4. Data Types Integers and Floats.mp4	51.9 MB
4. Data Types Integers and Floats.vtt	7.8 KB
5. Data Types Strings.mp4	81.6 MB
5. Data Types Strings.vtt	10.1 KB
6. Data Types Lists (Part 1).mp4	65.7 MB
6. Data Types Lists (Part 1).vtt	8.7 KB
7. Data Types Lists (Part 2).mp4	140.9 MB
7. Data Types Lists (Part 2).vtt	18.5 KB
8. Data Types Tuples.mp4	43.8 MB
8. Data Types Tuples.vtt	6.9 KB
9. Data Types Sets.mp4	22.5 MB
9. Data Types Sets.vtt	3.7 KB
/23. The Numpy Package/
1. Introduction to Numpy Arrays.mp4	43.1 MB
1. Introduction to Numpy Arrays.vtt	8.0 KB
10. Summary Statistics.mp4	47.0 MB
10. Summary Statistics.vtt	7.6 KB
11. Visualization and (Linear) Regression.mp4	88.7 MB
11. Visualization and (Linear) Regression.vtt	12.9 KB
12. Numpy.html	0.1 KB
13. Numpy Quiz Solution.mp4	47.7 MB
13. Numpy Quiz Solution.vtt	14.7 KB
2. Numpy Arrays Vectorization.mp4	67.9 MB
2. Numpy Arrays Vectorization.vtt	8.9 KB
3. Numpy Arrays Indexing and Slicing.mp4	56.0 MB
3. Numpy Arrays Indexing and Slicing.vtt	7.3 KB
4. Numpy Arrays Shape and Dimensions.mp4	37.2 MB
4. Numpy Arrays Shape and Dimensions.vtt	6.2 KB
5. Numpy Arrays Indexing and Slicing of multi-dimensional Arrays.mp4	77.2 MB
5. Numpy Arrays Indexing and Slicing of multi-dimensional Arrays.vtt	10.2 KB
6. Numpy Arrays Boolean Indexing.mp4	46.4 MB
6. Numpy Arrays Boolean Indexing.vtt	6.3 KB
7. Generating Random Numbers.mp4	70.8 MB
7. Generating Random Numbers.vtt	9.0 KB
8. Performance Issues.mp4	52.3 MB
8. Performance Issues.vtt	6.2 KB
9. Case Study Numpy vs. Python Standard Library.mp4	47.8 MB
9. Case Study Numpy vs. Python Standard Library.vtt	7.7 KB
/24. Bonus/
1. Bonus.html	1.5 KB
/3. Pandas Basics (DataFrame Basics I)/
1. Intro to Tabular Data Pandas.mp4	27.1 MB
1. Intro to Tabular Data Pandas.vtt	5.5 KB
10. Explore your own Dataset Coding Exercise 1 (Solution).mp4	31.3 MB
10. Explore your own Dataset Coding Exercise 1 (Solution).vtt	4.6 KB
11. Selecting Columns.mp4	40.4 MB
11. Selecting Columns.vtt	8.0 KB
12. Selecting Rows with Square Brackets (not advisable).mp4	23.1 MB
12. Selecting Rows with Square Brackets (not advisable).vtt	4.1 KB
13. Selecting Rows with iloc (position-based indexing).mp4	56.6 MB
13. Selecting Rows with iloc (position-based indexing).vtt	7.6 KB
14. Slicing Rows and Columns with iloc (position-based indexing).mp4	27.2 MB
14. Slicing Rows and Columns with iloc (position-based indexing).vtt	5.5 KB
15. Position-based Indexing Cheat Sheets.html	0.7 KB
16. Selecting Rows with loc (label-based indexing).mp4	31.8 MB
16. Selecting Rows with loc (label-based indexing).vtt	5.7 KB
17. Slicing Rows and Columns with loc (label-based indexing).mp4	95.8 MB
17. Slicing Rows and Columns with loc (label-based indexing).vtt	11.1 KB
18. Label-based Indexing Cheat Sheets.html	0.7 KB
19. Summary and Outlook.mp4	65.2 MB
19. Summary and Outlook.vtt	10.4 KB
2. Tabular Data Cheat Sheets.html	0.4 KB
20. Indexing and Slicing.html	0.1 KB
21. Coding Exercise 2 (Intro).mp4	9.0 MB
21. Coding Exercise 2 (Intro).vtt	1.4 KB
22. Coding Exercise 2 (Solution).mp4	41.0 MB
22. Coding Exercise 2 (Solution).vtt	6.5 KB
3. First Steps (Inspection of Data, Part 1).mp4	54.0 MB
3. First Steps (Inspection of Data, Part 1).vtt	6.0 KB
4. First Steps (Inspection of Data, Part 2).mp4	59.5 MB
4. First Steps (Inspection of Data, Part 2).vtt	8.9 KB
5. Coding Exercise 0 Coding the Video Lectures.mp4	114.6 MB
5. Coding Exercise 0 Coding the Video Lectures.vtt	16.7 KB
5.1 Video_Lecture_NBs.zip.zip	3.6 MB
6. Built-in Functions, Attributes and Methods with Pandas.mp4	53.1 MB
6. Built-in Functions, Attributes and Methods with Pandas.vtt	8.9 KB
6.1 DataFrame Methods and Attributes.html	0.1 KB
6.2 Pandas Series Methods and Attributes.html	0.1 KB
7. Make it easy TAB Completion and Tooltip.mp4	57.1 MB
8. First Steps.html	0.1 KB
9. Explore your own Dataset Coding Exercise 1 (Intro).mp4	66.2 MB
9. Explore your own Dataset Coding Exercise 1 (Intro).vtt	9.9 KB
9.1 Pandas-Bootcamp-exc.zip.zip	15.7 MB
/4. Pandas Series and Index Objects/
1. Intro.html	0.8 KB
10. Sorting of Series and Introduction to the inplace - parameter.mp4	43.4 MB
10. Sorting of Series and Introduction to the inplace - parameter.vtt	9.5 KB
11. nlargest() and nsmallest().mp4	17.6 MB
11. nlargest() and nsmallest().vtt	3.8 KB
12. idxmin() and idxmax().mp4	30.1 MB
12. idxmin() and idxmax().vtt	5.5 KB
13. Manipulating Pandas Series.mp4	39.7 MB
13. Manipulating Pandas Series.vtt	8.4 KB
14. Pandas Series.html	0.1 KB
15. Coding Exercise 3 (Intro).mp4	14.8 MB
15. Coding Exercise 3 (Intro).vtt	2.3 KB
16. Coding Exercise 3 (Solution).mp4	40.5 MB
16. Coding Exercise 3 (Solution).vtt	6.8 KB
17. First Steps with Pandas Index Objects.mp4	45.2 MB
17. First Steps with Pandas Index Objects.vtt	6.0 KB
18. Creating Index Objects from Scratch.mp4	15.8 MB
18. Creating Index Objects from Scratch.vtt	3.2 KB
19. Changing Row Index with set_index() and reset_index().mp4	78.7 MB
19. Changing Row Index with set_index() and reset_index().vtt	10.6 KB
2. First Steps with Pandas Series.mp4	37.7 MB
2. First Steps with Pandas Series.vtt	7.2 KB
20. Changing Column Labels.mp4	22.2 MB
20. Changing Column Labels.vtt	3.5 KB
21. Renaming Index & Column Labels with rename().mp4	35.2 MB
21. Renaming Index & Column Labels with rename().vtt	4.8 KB
22. Pandas Index objects.html	0.1 KB
23. Coding Exercise 4 (Intro).mp4	9.4 MB
23. Coding Exercise 4 (Intro).vtt	1.5 KB
24. Coding Exercise 4 (Solution).mp4	27.6 MB
24. Coding Exercise 4 (Solution).vtt	4.2 KB
3. Analyzing Numerical Series with unique(), nunique() and value_counts().mp4	76.3 MB
3. Analyzing Numerical Series with unique(), nunique() and value_counts().vtt	13.2 KB
4. UPDATE Pandas Version 0.24.0 (Jan 2019).html	0.4 KB
5. EXCURSUS Updating Pandas Anaconda.mp4	80.9 MB
5. EXCURSUS Updating Pandas Anaconda.vtt	6.4 KB
5.1 Updating Anaconda (Link).html	0.1 KB
6. Analyzing non-numerical Series with unique(), nunique(), value_counts().mp4	45.0 MB
6. Analyzing non-numerical Series with unique(), nunique(), value_counts().vtt	7.7 KB
7. Creating Pandas Series (Part 1).mp4	39.9 MB
7. Creating Pandas Series (Part 1).vtt	6.5 KB
8. Creating Pandas Series (Part 2).mp4	28.0 MB
8. Creating Pandas Series (Part 2).vtt	5.9 KB
9. Indexing and Slicing Pandas Series.mp4	69.4 MB
9. Indexing and Slicing Pandas Series.vtt	10.3 KB
/5. DataFrame Basics II/
1. Intro.html	0.4 KB
10. Creating Columns based on other Columns.mp4	36.2 MB
10. Creating Columns based on other Columns.vtt	7.2 KB
11. Adding Columns with insert().mp4	13.7 MB
11. Adding Columns with insert().vtt	3.2 KB
12. Adding new Rows (hands-on approach).html	1.2 KB
13. DataFrame Basics II.html	0.1 KB
14. Coding Exercise 5 (Intro).mp4	11.3 MB
14. Coding Exercise 5 (Intro).vtt	1.5 KB
15. Coding Exercise 5 (Solution).mp4	60.5 MB
15. Coding Exercise 5 (Solution).vtt	9.5 KB
2. Filtering DataFrames by one Condition.mp4	55.5 MB
2. Filtering DataFrames by one Condition.vtt	11.4 KB
3. Filtering DataFrames by many Conditions (AND).mp4	27.2 MB
3. Filtering DataFrames by many Conditions (AND).vtt	4.7 KB
4. Filtering DataFrames by many Conditions (OR).mp4	32.3 MB
4. Filtering DataFrames by many Conditions (OR).vtt	5.2 KB
5. Advanced Filtering with between(), isin() and ~.mp4	68.9 MB
5. Advanced Filtering with between(), isin() and ~.vtt	8.1 KB
6. any() and all().mp4	18.4 MB
6. any() and all().vtt	4.2 KB
7. Removing Columns.mp4	37.8 MB
7. Removing Columns.vtt	5.5 KB
8. Removing Rows.mp4	52.0 MB
8. Removing Rows.vtt	7.4 KB
9. Adding new Columns to a DataFrame.mp4	18.7 MB
9. Adding new Columns to a DataFrame.vtt	3.5 KB
/6. Manipulating Elements in a DataFrame Slice +++Important, know the Pitfalls!+++/
1. Intro.html	1.0 KB
2. Best Practice (How you should do it).mp4	55.2 MB
2. Best Practice (How you should do it).vtt	9.7 KB
3. Chained Indexing How you should NOT do it (Part 1).mp4	63.0 MB
3. Chained Indexing How you should NOT do it (Part 1).vtt	9.7 KB
4. Chained Indexing How you should NOT do it (Part 2).mp4	61.7 MB
4. Chained Indexing How you should NOT do it (Part 2).vtt	8.4 KB
5. View vs. Copy.mp4	36.2 MB
5. View vs. Copy.vtt	6.3 KB
6. Simple Rules what to do when....mp4	48.1 MB
6. Simple Rules what to do when....vtt	8.8 KB
7. Manipulating DataFrames Slices.html	0.1 KB
8. Coding Exercise 6 (Intro).mp4	9.2 MB
8. Coding Exercise 6 (Intro).vtt	1.7 KB
9. Coding Exercise 6 (Solution).mp4	41.3 MB
9. Coding Exercise 6 (Solution).vtt	6.5 KB
/7. DataFrame Basics III/
1. Intro.html	0.6 KB
10. Hierarchical Indexing (Part 1).mp4	76.1 MB
10. Hierarchical Indexing (Part 1).vtt	11.4 KB
11. Hierarchical Indexing (Part 2).mp4	76.1 MB
11. Hierarchical Indexing (Part 2).vtt	13.1 KB
12. String Operations (Part 1).mp4	43.2 MB
12. String Operations (Part 1).vtt	8.2 KB
13. String Operations (Part 2).mp4	57.9 MB
13. String Operations (Part 2).vtt	10.7 KB
14. Coding Exercise 8 (Intro).mp4	8.6 MB
14. Coding Exercise 8 (Intro).vtt	1.1 KB
15. Coding Exercise 8 (Solution).mp4	61.0 MB
15. Coding Exercise 8 (Solution).vtt	9.6 KB
2. Sorting DataFrames with sort_index() and sort_values().mp4	57.0 MB
2. Sorting DataFrames with sort_index() and sort_values().vtt	9.7 KB
3. Ranking DataFrames with rank().mp4	45.6 MB
3. Ranking DataFrames with rank().vtt	8.0 KB
4. nunique() and nlargest() nsmallest() with DataFrames.mp4	34.2 MB
4. nunique() and nlargest() nsmallest() with DataFrames.vtt	5.7 KB
5. Summary Statistics and Accumulations.mp4	60.3 MB
5. Summary Statistics and Accumulations.vtt	10.5 KB
6. The agg() method.mp4	23.9 MB
6. The agg() method.vtt	3.8 KB
7. Coding Exercise 7 (Intro).mp4	10.5 MB
7. Coding Exercise 7 (Intro).vtt	1.3 KB
8. Coding Exercise 7 (Solution).mp4	41.7 MB
8. Coding Exercise 7 (Solution).vtt	5.4 KB
9. User-defined Functions with apply(), map() and applymap().mp4	77.9 MB
9. User-defined Functions with apply(), map() and applymap().vtt	14.8 KB
/8. Visualization with Matplotlib/
1. Intro.html	0.7 KB
2. The plot() method.mp4	73.7 MB
2. The plot() method.vtt	9.7 KB
3. Customization of Plots.mp4	108.0 MB
3. Customization of Plots.vtt	12.4 KB
4. Histograms (Part 1).mp4	25.8 MB
4. Histograms (Part 1).vtt	4.8 KB
5. Histograms (Part 2).mp4	35.8 MB
5. Histograms (Part 2).vtt	7.2 KB
6. Barcharts and Piecharts.mp4	21.0 MB
6. Barcharts and Piecharts.vtt	4.1 KB
7. Scatterplots.mp4	37.9 MB
7. Scatterplots.vtt	7.3 KB
8. Coding Exercise 9 (Intro).mp4	10.1 MB
8. Coding Exercise 9 (Intro).vtt	1.5 KB
9. Coding Exercise 9 (Solution).mp4	38.6 MB
9. Coding Exercise 9 (Solution).vtt	5.1 KB
/9. -----PART II FULL DATA WORKFLOW A-Z------/
1. Welcome to PART II Full Data Analysis Workflow.html	0.8 KB
/
[CourseClub.Me].url	0.0 KB
[DesireCourse.Net].url	0.1 KB
Total files 475