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[DesireCourse.Net] Udemy - The Complete Pandas Bootcamp 2020 Data Science with Python
magnet:?xt=urn:btih:73f82d011e88c51a9b3d146d2fb6da01cf7f1955&dn=[DesireCourse.Net] Udemy - The Complete Pandas Bootcamp 2020 Data Science with Python
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Hash值:
73f82d011e88c51a9b3d146d2fb6da01cf7f1955
点击数:
157
文件大小:
11.07 GB
文件数量:
254
创建日期:
2020-6-1 02:51
最后访问:
2024-7-6 20:56
访问标签:
DesireCourse
Net
Udemy
-
The
Complete
Pandas
Bootcamp
2020
Data
Science
with
Python
文件列表详情
1. Getting Started/1. Overview Student FAQ.mp4 48.47 MB
1. Getting Started/2. Tips How to get the most out of this course.mp4 43.63 MB
1. Getting Started/3. Did you know that....mp4 31.24 MB
1. Getting Started/5. Installation of Anaconda.mp4 86.27 MB
1. Getting Started/6. Opening a Jupyter Notebook.mp4 65.09 MB
1. Getting Started/7. How to use Jupyter Notebooks.mp4 66.29 MB
1. Getting Started/8. How to tackle Pandas Version 1.0.mp4 19.03 MB
10. Importing Data/1. Importing csv-files with pd.read_csv.mp4 90.94 MB
10. Importing Data/2. Importing messy csv-files with pd.read_csv.mp4 63.28 MB
10. Importing Data/3. Importing Data from Excel with pd.read_excel().mp4 73.9 MB
10. Importing Data/4. Importing messy Data from Excel with pd.read_excel().mp4 72.44 MB
10. Importing Data/5. Importing Data from the Web with pd.read_html().mp4 58 MB
11. Cleaning Data/1. First Inspection & Handling of inconsistent Data.mp4 68.24 MB
11. Cleaning Data/10. Handling Removing Duplicates.mp4 88.67 MB
11. Cleaning Data/11. The ignore_index parameter (NEW in Pandas 1.0).mp4 5.67 MB
11. Cleaning Data/12. Detection of Outliers.mp4 44.07 MB
11. Cleaning Data/13. Handling Removing Outliers.mp4 29.69 MB
11. Cleaning Data/14. Categorical Data.mp4 45.48 MB
11. Cleaning Data/15. Pandas Version 1.0 New dtypes and pd.NA.mp4 18.47 MB
11. Cleaning Data/17. Coding Exercise 11 (Solution).mp4 129.71 MB
11. Cleaning Data/2. String Operations.mp4 80.88 MB
11. Cleaning Data/3. Changing Datatype of Columns with astype().mp4 38.8 MB
11. Cleaning Data/4. Intro NA values missing values.mp4 45.64 MB
11. Cleaning Data/5. Detection of missing Values.mp4 89.4 MB
11. Cleaning Data/6. Removing missing values.mp4 85.5 MB
11. Cleaning Data/7. Replacing missing values.mp4 24.59 MB
11. Cleaning Data/8. Intro Duplicates.mp4 20.26 MB
11. Cleaning Data/9. Detection of Duplicates.mp4 79.21 MB
12. Merging, Joining, and Concatenating Data/10. Right Joins (without Intersection) with merge().mp4 15.03 MB
12. Merging, Joining, and Concatenating Data/11. Left Joins with merge().mp4 24.09 MB
12. Merging, Joining, and Concatenating Data/12. Right Joins with merge().mp4 27.41 MB
12. Merging, Joining, and Concatenating Data/13. Joining on different Column Names Indexes.mp4 95.32 MB
12. Merging, Joining, and Concatenating Data/14. Joining on more than one Column.mp4 38.69 MB
12. Merging, Joining, and Concatenating Data/15. pd.merge() and join().mp4 35.48 MB
12. Merging, Joining, and Concatenating Data/2. Adding Rows with append() and pd.concat() (Part 1).mp4 88.07 MB
12. Merging, Joining, and Concatenating Data/3. Adding Rows with pd.concat() (Part 2).mp4 56.9 MB
12. Merging, Joining, and Concatenating Data/4. Arithmetic with Pandas Objects Data Alignment.mp4 38.91 MB
12. Merging, Joining, and Concatenating Data/6. Outer Joins with merge().mp4 80.1 MB
12. Merging, Joining, and Concatenating Data/7. Inner Joins with merge().mp4 15.56 MB
12. Merging, Joining, and Concatenating Data/8. Outer Joins (without Intersection) with merge().mp4 31.49 MB
12. Merging, Joining, and Concatenating Data/9. Left Joins (without Intersection) with merge().mp4 21.85 MB
13. GroupBy Operations/1. Intro.mp4 10.09 MB
13. GroupBy Operations/10. Replacing NA Values by group-specific Values.mp4 44.75 MB
13. GroupBy Operations/11. Generalizing split-apply-combine with apply().mp4 42.78 MB
13. GroupBy Operations/12. Hierarchical Indexing with Groupby.mp4 32.86 MB
13. GroupBy Operations/13. stack() and unstack().mp4 78.81 MB
13. GroupBy Operations/16. Coding Exercise 13 (Solution).mp4 81.56 MB
13. GroupBy Operations/2. Understanding the GroupBy Object.mp4 46.27 MB
13. GroupBy Operations/3. Splitting with many Keys.mp4 49.91 MB
13. GroupBy Operations/4. split-apply-combine explained.mp4 47.07 MB
13. GroupBy Operations/5. split-apply-combine applied.mp4 70.7 MB
13. GroupBy Operations/7. Advanced aggregation with agg().mp4 30.26 MB
13. GroupBy Operations/8. GroupBy Aggregation with Relabeling (NEW - Pandas Version 0.25).mp4 20.62 MB
13. GroupBy Operations/9. Transformation with transform().mp4 35.41 MB
14. Reshaping and Pivoting DataFrames/2. Transposing Rows and Columns.mp4 68.43 MB
14. Reshaping and Pivoting DataFrames/3. Pivoting DataFrames with pivot().mp4 55.9 MB
14. Reshaping and Pivoting DataFrames/4. Limits of pivot().mp4 58.25 MB
14. Reshaping and Pivoting DataFrames/5. pivot_table().mp4 58.07 MB
14. Reshaping and Pivoting DataFrames/6. pd.crosstab().mp4 99.48 MB
14. Reshaping and Pivoting DataFrames/7. melting DataFrames with melt().mp4 49.45 MB
15. Data Preparation and Feature Creation/10. Scaling Standardization.mp4 56.33 MB
15. Data Preparation and Feature Creation/11. Creating Dummy Variables.mp4 55.25 MB
15. Data Preparation and Feature Creation/12. String Operations.mp4 29.66 MB
15. Data Preparation and Feature Creation/2. Arithmetic Operations (Part 1).mp4 63.52 MB
15. Data Preparation and Feature Creation/3. Arithmetic Operations (Part 2).mp4 58.45 MB
15. Data Preparation and Feature Creation/4. TransformationMapping with map().mp4 42.68 MB
15. Data Preparation and Feature Creation/5. Conditional Transformation.mp4 33.41 MB
15. Data Preparation and Feature Creation/6. Discretization and Binning with pd.cut() (Part 1).mp4 73.03 MB
15. Data Preparation and Feature Creation/7. Discretization and Binning with pd.cut() (Part 2).mp4 32.7 MB
15. Data Preparation and Feature Creation/8. Discretization and Binning with pd.qcut().mp4 85.39 MB
15. Data Preparation and Feature Creation/9. Floors and Caps.mp4 39.25 MB
16. Advanced Visualization with Seaborn/2. First Steps in Seaborn.mp4 22.1 MB
16. Advanced Visualization with Seaborn/3. Categorical Plots.mp4 85.2 MB
16. Advanced Visualization with Seaborn/4. Joint Plots Regression Plots.mp4 79.61 MB
16. Advanced Visualization with Seaborn/5. Matrixplots Heatmaps.mp4 42.78 MB
17. ---PART 3 COMPREHENSIVE PROJECT CHALLENGE---/2. Olympic Medal Tables (Instruction & Hints).mp4 57.71 MB
17. ---PART 3 COMPREHENSIVE PROJECT CHALLENGE---/3. Olympic Medal Tables (Solution Part 1).mp4 38.42 MB
17. ---PART 3 COMPREHENSIVE PROJECT CHALLENGE---/4. Olympic Medal Tables (Solution Part 2).mp4 128.78 MB
17. ---PART 3 COMPREHENSIVE PROJECT CHALLENGE---/5. Olympic Medal Tables (Solution Part 3).mp4 26.99 MB
19. Time Series Basics/1. Importing Time Series Data from csv-files.mp4 41.75 MB
19. Time Series Basics/10. Advanced Indexing with reindex().mp4 50.5 MB
19. Time Series Basics/2. Converting strings to datetime objects with pd.to_datetime().mp4 58 MB
19. Time Series Basics/3. Initial Analysis Visualization of Time Series.mp4 35 MB
19. Time Series Basics/4. Indexing and Slicing Time Series.mp4 48.16 MB
19. Time Series Basics/5. Creating a customized DatetimeIndex with pd.date_range().mp4 114.64 MB
19. Time Series Basics/6. More on pd.date_range().mp4 12.36 MB
19. Time Series Basics/7. Downsampling Time Series with resample() (Part 1).mp4 85.5 MB
19. Time Series Basics/8. Downsampling Time Series with resample (Part 2).mp4 49.11 MB
19. Time Series Basics/9. The PeriodIndex object.mp4 38.78 MB
2. ---PART 1 PANDAS FROM ZERO TO HERO (BUILDING BLOCKS)---/1. Intro to Tabular Data Pandas.mp4 18.07 MB
2. ---PART 1 PANDAS FROM ZERO TO HERO (BUILDING BLOCKS)---/2. Download Part 1 Course Materials.mp4 18.73 MB
20. Time Series Advanced Financial Time Series/10. Financial Time Series - Covariance and Correlation.mp4 25.73 MB
20. Time Series Advanced Financial Time Series/11. Helpful DatetimeIndex Attributes and Methods.mp4 44.3 MB
20. Time Series Advanced Financial Time Series/12. Filling NA Values with bfill, ffill and interpolation.mp4 78.44 MB
20. Time Series Advanced Financial Time Series/2. Getting Ready (Installing required package).mp4 21.77 MB
20. Time Series Advanced Financial Time Series/3. Importing Stock Price Data from Yahoo Finance (it still works!).mp4 71.92 MB
20. Time Series Advanced Financial Time Series/4. Initial Inspection and Visualization.mp4 42.33 MB
20. Time Series Advanced Financial Time Series/5. Normalizing Time Series to a Base Value (100).mp4 44.26 MB
20. Time Series Advanced Financial Time Series/6. The shift() method.mp4 35.78 MB
20. Time Series Advanced Financial Time Series/7. The methods diff() and pct_change().mp4 40.23 MB
20. Time Series Advanced Financial Time Series/8. Measuring Stock Performance with MEAN Returns and STD of Returns.mp4 43.93 MB
20. Time Series Advanced Financial Time Series/9. Financial Time Series - Return and Risk.mp4 53.62 MB
21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/1. Intro and Overview.mp4 15.5 MB
21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/10. The NEW StringDtype.mp4 32.1 MB
21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/11. The NEW nullable BooleanDtype.mp4 23.2 MB
21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/12. Addition of the ignore_index parameter.mp4 21.75 MB
21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/13. Removal of prior Version Deprecations.mp4 42.87 MB
21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/4. Important Recap Pandas Display Options (Changed in Version 0.25).mp4 36.51 MB
21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/5. Info() method - new and extended output.mp4 9.86 MB
21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/6. NEW Extension dtypes (nullable dtypes) Why do we need them.mp4 28.29 MB
21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/7. Creating the NEW extension dtypes with convert_dtypes().mp4 25.7 MB
21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/8. NEW pd.NA value for missing values.mp4 27.91 MB
21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/9. The NEW nullable Int64Dtype.mp4 18 MB
23. Python Basics/1. Intro.mp4 5.89 MB
23. Python Basics/10. Operators & Booleans.mp4 59.52 MB
23. Python Basics/11. Conditional Statements (if, elif, else, while).mp4 86.04 MB
23. Python Basics/12. For Loops.mp4 58.42 MB
23. Python Basics/13. Key words break, pass, continue.mp4 36.71 MB
23. Python Basics/14. Generating Random Numbers.mp4 38.13 MB
23. Python Basics/15. User Defined Functions (Part 1).mp4 64.35 MB
23. Python Basics/16. User Defined Functions (Part 2).mp4 57.39 MB
23. Python Basics/17. User Defined Functions (Part 3).mp4 52.12 MB
23. Python Basics/18. Visualization with Matplotlib.mp4 124.22 MB
23. Python Basics/2. First Steps.mp4 34.22 MB
23. Python Basics/20. Python Basics Quiz Solution.mp4 38.25 MB
23. Python Basics/3. Variables.mp4 31.46 MB
23. Python Basics/4. Data Types Integers and Floats.mp4 49.47 MB
23. Python Basics/5. Data Types Strings.mp4 77.78 MB
23. Python Basics/6. Data Types Lists (Part 1).mp4 62.7 MB
23. Python Basics/7. Data Types Lists (Part 2).mp4 134.41 MB
23. Python Basics/8. Data Types Tuples.mp4 41.8 MB
23. Python Basics/9. Data Types Sets.mp4 21.44 MB
24. The Numpy Package/1. Introduction to Numpy Arrays.mp4 41.13 MB
24. The Numpy Package/10. Summary Statistics.mp4 44.82 MB
24. The Numpy Package/11. Visualization and (Linear) Regression.mp4 84.55 MB
24. The Numpy Package/13. Numpy Quiz Solution.mp4 45.45 MB
24. The Numpy Package/2. Numpy Arrays Vectorization.mp4 64.74 MB
24. The Numpy Package/3. Numpy Arrays Indexing and Slicing.mp4 53.44 MB
24. The Numpy Package/4. Numpy Arrays Shape and Dimensions.mp4 35.52 MB
24. The Numpy Package/5. Numpy Arrays Indexing and Slicing of multi-dimensional Arrays.mp4 73.64 MB
24. The Numpy Package/6. Numpy Arrays Boolean Indexing.mp4 44.22 MB
24. The Numpy Package/7. Generating Random Numbers.mp4 67.53 MB
24. The Numpy Package/8. Performance Issues.mp4 49.88 MB
24. The Numpy Package/9. Case Study Numpy vs. Python Standard Library.mp4 45.61 MB
25. Statistical Concepts/1. Statistics - Overview, Terms and Vocabulary.mp4 93.36 MB
25. Statistical Concepts/10. Minimum, Maximum and Range with PythonNumpy.mp4 12.3 MB
25. Statistical Concepts/11. Percentiles with PythonNumpy.mp4 17.57 MB
25. Statistical Concepts/12. Variance and Standard Deviation with PythonNumpy.mp4 16.35 MB
25. Statistical Concepts/13. Skew and Kurtosis (Theory).mp4 18.02 MB
25. Statistical Concepts/14. How to calculate Skew and Kurtosis with scipy.stats.mp4 27.44 MB
25. Statistical Concepts/15. How to generate Random Numbers with Numpy.mp4 25.21 MB
25. Statistical Concepts/16. Reproducibility with np.random.seed().mp4 17.25 MB
25. Statistical Concepts/17. Probability Distributions - Overview.mp4 35.69 MB
25. Statistical Concepts/18. Discrete Uniform Distributions.mp4 28.19 MB
25. Statistical Concepts/19. Continuous Uniform Distributions.mp4 20.11 MB
25. Statistical Concepts/20. The Normal Distribution (Theory).mp4 18.42 MB
25. Statistical Concepts/21. Creating a normally distributed Random Variable.mp4 24.11 MB
25. Statistical Concepts/22. Normal Distribution - Probability Density Function (pdf) with scipy.stats.mp4 26.95 MB
25. Statistical Concepts/23. Normal Distribution - Cumulative Distribution Function (cdf) with scipy.stats.mp4 15.39 MB
25. Statistical Concepts/24. The Standard Normal Distribution and Z-Values.mp4 38.66 MB
25. Statistical Concepts/25. Properties of the Standard Normal Distribution (Theory).mp4 14.85 MB
25. Statistical Concepts/26. Probabilities and Z-Values with scipy.stats.mp4 59.28 MB
25. Statistical Concepts/27. Confidence Intervals with scipy.stats.mp4 48.1 MB
25. Statistical Concepts/28. Covariance and Correlation Coefficient (Theory).mp4 27.58 MB
25. Statistical Concepts/29. Cleaning and preparing the Data - Movies Database (Part 1).mp4 47 MB
25. Statistical Concepts/3. Population vs. Sample.mp4 35.57 MB
25. Statistical Concepts/30. Cleaning and preparing the Data - Movies Database (Part 2).mp4 31.1 MB
25. Statistical Concepts/31. How to calculate Covariance and Correlation in Python.mp4 23.99 MB
25. Statistical Concepts/32. Correlation and Scatterplots – visual Interpretation.mp4 20 MB
25. Statistical Concepts/33. What is Linear Regression (Theory).mp4 11.64 MB
25. Statistical Concepts/34. A simple Linear Regression Model with numpy & Scipy.mp4 39.67 MB
25. Statistical Concepts/35. How to interpret Intercept and Slope Coefficient.mp4 12.35 MB
25. Statistical Concepts/36. Case Study (Part 1) The Market Model (Single Factor Model).mp4 26.34 MB
25. Statistical Concepts/37. Case Study (Part 2) The Market Model (Single Factor Model).mp4 10.31 MB
25. Statistical Concepts/4. Visualizing Frequency Distributions with plt.hist().mp4 22.64 MB
25. Statistical Concepts/5. Relative and Cumulative Frequencies with plt.hist().mp4 36.41 MB
25. Statistical Concepts/6. Measures of Central Tendency (Theory).mp4 20.74 MB
25. Statistical Concepts/7. Coding Measures of Central Tendency - Mean and Median.mp4 22.34 MB
25. Statistical Concepts/8. Coding Measures of Central Tendency - Geometric Mean.mp4 16.56 MB
25. Statistical Concepts/9. Variability around the Central Tendency Dispersion (Theory).mp4 27.69 MB
3. Pandas Basics (DataFrame Basics I)/1. Create your very first Pandas DataFrame (from csv).mp4 59.42 MB
3. Pandas Basics (DataFrame Basics I)/10. Selecting one Column with the dot notation.mp4 8.53 MB
3. Pandas Basics (DataFrame Basics I)/11. Zero-based Indexing and Negative Indexing.mp4 10.18 MB
3. Pandas Basics (DataFrame Basics I)/12. Selecting Rows with iloc (position-based indexing).mp4 65 MB
3. Pandas Basics (DataFrame Basics I)/13. Slicing Rows and Columns with iloc (position-based indexing).mp4 24.29 MB
3. Pandas Basics (DataFrame Basics I)/15. Selecting Rows with loc (label-based indexing).mp4 21.34 MB
3. Pandas Basics (DataFrame Basics I)/16. Slicing Rows and Columns with loc (label-based indexing).mp4 77.55 MB
3. Pandas Basics (DataFrame Basics I)/18. Indexing and Slicing with reindex().mp4 38.92 MB
3. Pandas Basics (DataFrame Basics I)/19. Summary, Best Practices and Outlook.mp4 41.99 MB
3. Pandas Basics (DataFrame Basics I)/2. Pandas Display Options and the methods head() & tail().mp4 40.46 MB
3. Pandas Basics (DataFrame Basics I)/21. Coding Exercise 2 (Intro).mp4 8.06 MB
3. Pandas Basics (DataFrame Basics I)/22. Coding Exercise 2 (Solution).mp4 28.07 MB
3. Pandas Basics (DataFrame Basics I)/23. Advanced Indexing and Slicing (optional).mp4 34.11 MB
3. Pandas Basics (DataFrame Basics I)/3. First Data Inspection.mp4 56.01 MB
3. Pandas Basics (DataFrame Basics I)/4. Built-in Functions, Attributes and Methods with Pandas.mp4 46.87 MB
3. Pandas Basics (DataFrame Basics I)/5. Make it easy TAB Completion and Tooltip.mp4 54.43 MB
3. Pandas Basics (DataFrame Basics I)/7. Explore your own Dataset Coding Exercise 1 (Intro).mp4 26.55 MB
3. Pandas Basics (DataFrame Basics I)/8. Explore your own Dataset Coding Exercise 1 (Solution).mp4 31.2 MB
3. Pandas Basics (DataFrame Basics I)/9. Selecting Columns.mp4 26.63 MB
4. Pandas Series and Index Objects/10. idxmin() and idxmax().mp4 28.69 MB
4. Pandas Series and Index Objects/11. Manipulating Pandas Series.mp4 37.87 MB
4. Pandas Series and Index Objects/14. Coding Exercise 3 (Solution).mp4 38.65 MB
4. Pandas Series and Index Objects/15. First Steps with Pandas Index Objects.mp4 43.09 MB
4. Pandas Series and Index Objects/16. Creating Index Objects from Scratch.mp4 15.02 MB
4. Pandas Series and Index Objects/17. Changing Row Index with set_index() and reset_index().mp4 75.03 MB
4. Pandas Series and Index Objects/18. Changing Column Labels.mp4 21.16 MB
4. Pandas Series and Index Objects/19. Renaming Index & Column Labels with rename().mp4 28 MB
4. Pandas Series and Index Objects/2. First Steps with Pandas Series.mp4 19 MB
4. Pandas Series and Index Objects/22. Coding Exercise 4 (Solution).mp4 26.35 MB
4. Pandas Series and Index Objects/3. Analyzing Numerical Series with unique(), nunique() and value_counts().mp4 67.12 MB
4. Pandas Series and Index Objects/4. Analyzing non-numerical Series with unique(), nunique(), value_counts().mp4 42.89 MB
4. Pandas Series and Index Objects/5. Creating Pandas Series (Part 1).mp4 38.09 MB
4. Pandas Series and Index Objects/6. Creating Pandas Series (Part 2).mp4 26.74 MB
4. Pandas Series and Index Objects/7. Indexing and Slicing Pandas Series.mp4 66.22 MB
4. Pandas Series and Index Objects/8. Sorting of Series and Introduction to the inplace - parameter.mp4 41.4 MB
4. Pandas Series and Index Objects/9. nlargest() and nsmallest().mp4 16.77 MB
5. DataFrame Basics II/10. Creating Columns based on other Columns.mp4 34.56 MB
5. DataFrame Basics II/11. Adding Columns with insert().mp4 13.07 MB
5. DataFrame Basics II/12. Creating DataFrames from Scratch with pd.DataFrame().mp4 43.3 MB
5. DataFrame Basics II/13. Adding new Rows (hands-on approach).mp4 16.95 MB
5. DataFrame Basics II/16. Coding Exercise 5 (Solution).mp4 57.67 MB
5. DataFrame Basics II/2. Filtering DataFrames by one Condition.mp4 52.92 MB
5. DataFrame Basics II/3. Filtering DataFrames by many Conditions (AND).mp4 25.93 MB
5. DataFrame Basics II/4. Filtering DataFrames by many Conditions (OR).mp4 30.82 MB
5. DataFrame Basics II/5. Advanced Filtering with between(), isin() and ~.mp4 65.68 MB
5. DataFrame Basics II/6. any() and all().mp4 17.58 MB
5. DataFrame Basics II/7. Removing Columns.mp4 36.02 MB
5. DataFrame Basics II/8. Removing Rows.mp4 49.62 MB
5. DataFrame Basics II/9. Adding new Columns to a DataFrame.mp4 17.88 MB
6. Manipulating Elements in a DataFrame Slice +++Important, know the Pitfalls!+++/2. Best Practice (How you should do it).mp4 52.6 MB
6. Manipulating Elements in a DataFrame Slice +++Important, know the Pitfalls!+++/3. Chained Indexing How you should NOT do it (Part 1).mp4 60.07 MB
6. Manipulating Elements in a DataFrame Slice +++Important, know the Pitfalls!+++/4. Chained Indexing How you should NOT do it (Part 2).mp4 58.85 MB
6. Manipulating Elements in a DataFrame Slice +++Important, know the Pitfalls!+++/5. View vs. Copy.mp4 34.54 MB
6. Manipulating Elements in a DataFrame Slice +++Important, know the Pitfalls!+++/6. Simple Rules what to do when....mp4 45.85 MB
6. Manipulating Elements in a DataFrame Slice +++Important, know the Pitfalls!+++/9. Coding Exercise 6 (Solution).mp4 39.4 MB
7. DataFrame Basics III/10. Hierarchical Indexing (Part 1).mp4 72.59 MB
7. DataFrame Basics III/11. Hierarchical Indexing (Part 2).mp4 72.59 MB
7. DataFrame Basics III/12. String Operations (Part 1).mp4 41.19 MB
7. DataFrame Basics III/13. String Operations (Part 2).mp4 55.19 MB
7. DataFrame Basics III/15. Coding Exercise 8 (Solution).mp4 58.22 MB
7. DataFrame Basics III/2. Sorting DataFrames with sort_index() and sort_values() (Version 1.0 Update).mp4 68.86 MB
7. DataFrame Basics III/3. Ranking DataFrames with rank().mp4 43.48 MB
7. DataFrame Basics III/4. nunique() and nlargest() nsmallest() with DataFrames.mp4 32.6 MB
7. DataFrame Basics III/5. Summary Statistics and Accumulations.mp4 57.47 MB
7. DataFrame Basics III/6. The agg() method.mp4 22.83 MB
7. DataFrame Basics III/8. Coding Exercise 7 (Solution).mp4 39.82 MB
7. DataFrame Basics III/9. User-defined Functions with apply(), map() and applymap().mp4 74.33 MB
8. Visualization with Matplotlib/2. The plot() method.mp4 70.25 MB
8. Visualization with Matplotlib/3. Customization of Plots.mp4 102.99 MB
8. Visualization with Matplotlib/4. Histograms (Part 1).mp4 24.58 MB
8. Visualization with Matplotlib/5. Histograms (Part 2).mp4 34.13 MB
8. Visualization with Matplotlib/6. Barcharts and Piecharts.mp4 19.99 MB
8. Visualization with Matplotlib/7. Scatterplots.mp4 36.15 MB
8. Visualization with Matplotlib/9. Coding Exercise 9 (Solution).mp4 36.78 MB
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