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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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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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RARBG_DO_NOT_MIRROR.exe 99 Bytes
nature.s39e01.pandas.born.to.be.wild.1080p.web.h264-bae.nfo 73 Bytes
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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
Numpy Basics.mp4 25.2 MB
Pandas Dataframe - Split, Apply, Combine, Aggregate.mp4 22.1 MB
Numpy - Universal Functions.mp4 20.4 MB

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[TutsNode.com] - Data Manipulation in Python A Pandas Crash Course/9. Conclusion/4. Extra - Chapter 3 Visualisation Runthrough.mp4 112.3 MB
[TutsNode.com] - Data Manipulation in Python A Pandas Crash Course/7. Advanced Manipulation - MultiIndex, Pivoting and more/4. Pivoting.mp4 97.0 MB
[TutsNode.com] - Data Manipulation in Python A Pandas Crash Course/7. Advanced Manipulation - MultiIndex, Pivoting and more/3. Stacking and Unstacking.mp4 96.4 MB
[TutsNode.com] - Data Manipulation in Python A Pandas Crash Course/3. Visual exploration/4. Visualising 2D distributions.mp4 96.0 MB
[TutsNode.com] - Data Manipulation in Python A Pandas Crash Course/7. Advanced Manipulation - MultiIndex, Pivoting and more/5. Pivot Margins.mp4 89.3 MB
[TutsNode.com] - Data Manipulation in Python A Pandas Crash Course/6. Merging/2. Different types of merging.mp4 88.0 MB
[TutsNode.com] - Data Manipulation in Python A Pandas Crash Course/9. Conclusion/7. Extra - Chapter 6 Merging Runthrough.mp4 85.5 MB
[TutsNode.com] - Data Manipulation in Python A Pandas Crash Course/9. Conclusion/8. Extra - Chapter 7 Advanced Runthrough.mp4 85.1 MB
[TutsNode.com] - Data Manipulation in Python A Pandas Crash Course/9. Conclusion/6. Extra - Chapter 5 Grouping Runthrough.mp4 82.6 MB
[TutsNode.com] - Data Manipulation in Python A Pandas Crash Course/9. Conclusion/9. Extra - Chapter 8 TimeSeries Runthrough.mp4 80.0 MB
[TutsNode.com] - Data Manipulation in Python A Pandas Crash Course/9. Conclusion/2. Extra - Customising Jupyter Notebooks.mp4 75.1 MB
[TutsNode.com] - Data Manipulation in Python A Pandas Crash Course/6. Merging/1. Introduction and basic syntax.mp4 74.1 MB
[TutsNode.com] - Data Manipulation in Python A Pandas Crash Course/4. Basic Data Manipulations/1. Introduction, Labelling and Ordering.mp4 73.4 MB
[TutsNode.com] - Data Manipulation in Python A Pandas Crash Course/8. Time Series Data/3. Resampling.mp4 73.0 MB
[TutsNode.com] - Data Manipulation in Python A Pandas Crash Course/2. Dataset Basics/2. Jupyter Notebooks and Loading Data.mp4 72.5 MB
[TutsNode.com] - Data Manipulation in Python A Pandas Crash Course/4. Basic Data Manipulations/2. Slicing and Filtering.mp4 71.8 MB
[TutsNode.com] - Data Manipulation in Python A Pandas Crash Course/3. Visual exploration/6. Higher dimension visualisations.mp4 71.2 MB
[TutsNode.com] - Data Manipulation in Python A Pandas Crash Course/8. Time Series Data/4. Rolling functions.mp4 69.9 MB
[TutsNode.com] - Data Manipulation in Python A Pandas Crash Course/4. Basic Data Manipulations/4. Removing and adding data.mp4 69.7 MB
[TutsNode.com] - Data Manipulation in Python A Pandas Crash Course/7. Advanced Manipulation - MultiIndex, Pivoting and more/1. Introduction and basic MultiIndexes.mp4 69.3 MB

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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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4. Azure Data Lake/14. Example on Pivot Table.mp4 92.3 MB
3. Data Analysis/22. Concept of Dummy Coding.mp4 86.5 MB
3. Data Analysis/23. Creating Dummified Values.mp4 86.4 MB
4. Azure Data Lake/7. Stacking and Unstacking.mp4 84.7 MB
4. Azure Data Lake/11. More Options with Crosstab.mp4 84.0 MB
2. Data Set/6. Column Names and Operation.mp4 82.5 MB
3. Data Analysis/15. Functions of iX Method.mp4 74.4 MB
4. Azure Data Lake/2. Merging Data Frames.mp4 73.8 MB
3. Data Analysis/18. Reducing the Space.mp4 73.3 MB
3. Data Analysis/25. Functions for Date and Time.mp4 72.2 MB
4. Azure Data Lake/6. Working with Interpolate Method.mp4 71.2 MB
4. Azure Data Lake/10. More on Crosstab.mp4 70.8 MB
4. Azure Data Lake/13. Pivot Table Method.mp4 65.6 MB
4. Azure Data Lake/5. Importing Time Series Data.mp4 62.6 MB
2. Data Set/2. Reading the Data Set.mp4 61.9 MB
2. Data Set/9. Filtering Data.mp4 61.8 MB
4. Azure Data Lake/16. Using Excel Functions.mp4 61.5 MB
4. Azure Data Lake/15. Data Frame to CSV File.mp4 60.1 MB
4. Azure Data Lake/3. Shaping a Data Frame.mp4 57.5 MB
3. Data Analysis/29. Formatting the Data.mp4 55.6 MB

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1. Installation and Setup/7. MacOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 117.9 MB
1. Installation and Setup/11. Windows - Create conda Environment and Install pandas and Jupyter Notebook.mp4 117.2 MB
1. Installation and Setup/8. MacOS - Unpack Course Materials + The Start and Shutdown Process.mp4 116.2 MB
5. DataFrames II Filtering Data/1. This Module's Dataset + Memory Optimization.mp4 102.6 MB
1. Installation and Setup/5. MacOS - Install Anaconda Distribution.mp4 95.4 MB
2. BONUS Python Crash Course/8. String Methods.mp4 78.3 MB
11. Working with Dates and Times in Datasets/15. Timeseries Offsets.mp4 78.2 MB
11. Working with Dates and Times in Datasets/12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4 77.9 MB
1. Installation and Setup/6. MacOS - Access the Terminal Application.mp4 76.6 MB
4. DataFrames I Introduction/2. Shared Methods and Attributes between Series and DataFrames.mp4 70.8 MB
6. DataFrames III Data Extraction/3. Retrieve Rows by Index Label with loc Accessor.mp4 64.1 MB
3. Series/8. Create Series from Dataset with the pd.read_csv Method.mp4 63.3 MB
6. DataFrames III Data Extraction/8. Rename Index Labels or Columns in a DataFrame.mp4 60.9 MB
2. BONUS Python Crash Course/7. Custom Functions.mp4 59.2 MB
2. BONUS Python Crash Course/10. Index Positions and Slicing.mp4 58.3 MB
11. Working with Dates and Times in Datasets/13. Timestamp Object Attributes and Methods.mp4 56.8 MB
2. BONUS Python Crash Course/11. Dictionaries.mp4 56.4 MB
2. BONUS Python Crash Course/4. Operators.mp4 53.1 MB
4. DataFrames I Introduction/1. Intro to DataFrames I Module.mp4 52.2 MB
12. Input and Output in pandas/6. Import Excel File into pandas with the read_excel Method.mp4 51.6 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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02 Pandas/005 Selecting.mp4 60.5 MB
02 Pandas/007 Filtering.mp4 56.7 MB
02 Pandas/003 Loading data.mp4 54.2 MB
02 Pandas/019 Time series 1 convert column to date time type.mp4 45.8 MB
02 Pandas/022 Hand on 1 google apps data set.mp4 43.7 MB
01 Introduction and Installation/attached files.zip 36.1 MB
02 Pandas/009 Groupby.mp4 35.9 MB
02 Pandas/011 Merge.mp4 34.9 MB
02 Pandas/004 Overview data.mp4 34.3 MB
02 Pandas/010 Apply.mp4 33.1 MB
02 Pandas/006 Sorting.mp4 31.1 MB
02 Pandas/008 Aggregation.mp4 27.3 MB
02 Pandas/021 Time series 3 resampling.mp4 26.5 MB
02 Pandas/016 Clean up 3 handle missing data.mp4 24.9 MB
01 Introduction and Installation/002 Install anaconda jupyter notebook and download source code.mp4 24.8 MB
02 Pandas/020 Time series 2 selection in time series.mp4 24.2 MB
02 Pandas/014 Clean up 1 rename column.mp4 18.2 MB
02 Pandas/017 Clean up 4 handle duplicate data.mp4 15.6 MB
02 Pandas/018 Clean up 5 modify column data.mp4 15.6 MB
02 Pandas/015 Clean up 2 drop column.mp4 11.9 MB

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Pandas.2018.720p.BluRay.x264.AAC-[YTS.MX].mp4 407.7 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. MacOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 117.9 MB
1. Installation and Setup/11. Windows - Create conda Environment and Install pandas and Jupyter Notebook.mp4 117.2 MB
1. Installation and Setup/8. MacOS - Unpack Course Materials + The Start and Shutdown Process.mp4 116.2 MB
4. DataFrames II Filtering Data/1. This Module's Dataset + Memory Optimization.mp4 102.6 MB
1. Installation and Setup/5. MacOS - Install Anaconda Distribution.mp4 95.4 MB
10. Working with Dates and Times in Datasets/15. Timeseries Offsets.mp4 78.2 MB
10. Working with Dates and Times in Datasets/12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4 77.9 MB
1. Installation and Setup/6. MacOS - Access the Terminal Application.mp4 76.6 MB
3. DataFrames I Introduction/2. Shared Methods and Attributes between Series and DataFrames.mp4 70.8 MB
5. DataFrames III Data Extraction/3. Retrieve Rows by Index Label with loc Accessor.mp4 64.1 MB
2. Series/8. Create Series from Dataset with the pd.read_csv Method.mp4 63.3 MB
5. DataFrames III Data Extraction/8. Rename Index Labels or Columns in a DataFrame.mp4 60.9 MB
10. Working with Dates and Times in Datasets/13. Timestamp Object Attributes and Methods.mp4 56.8 MB
3. DataFrames I Introduction/1. Intro to DataFrames I Module.mp4 52.2 MB
11. Input and Output in pandas/6. Import Excel File into pandas with the read_excel Method.mp4 51.6 MB
1. Installation and Setup/12. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4 49.7 MB
7. MultiIndex/6. Extract Rows from a MultiIndex DataFrame.mp4 49.3 MB
11. Input and Output in pandas/7. Export Excel File with the to_excel Method.mp4 49.3 MB
2. Series/19. Extract Series Values by Index Label.mp4 48.5 MB
5. DataFrames III Data Extraction/5. Passing second arguments to the loc and iloc Accessors.mp4 48.1 MB

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1. Installation and Setup/7. MacOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 117.9 MB
1. Installation and Setup/11. Windows - Create conda Environment and Install pandas and Jupyter Notebook.mp4 117.2 MB
1. Installation and Setup/8. MacOS - Unpack Course Materials + The Start and Shutdown Process.mp4 116.2 MB
5. DataFrames II Filtering Data/1. This Module's Dataset + Memory Optimization.mp4 102.6 MB
1. Installation and Setup/5. MacOS - Install Anaconda Distribution.mp4 95.4 MB
2. BONUS Python Crash Course/8. String Methods.mp4 78.3 MB
11. Working with Dates and Times in Datasets/15. Timeseries Offsets.mp4 78.2 MB
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