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- 【影视】 [UdemyCourseDownloader] Python Pandas and Altair Data Science & Visualization Course
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03. Python 3 on Raspberry Pi/4. Raspberry Pi Raspbian OS Setup Part 1.mp4 240.3 MB
21. Basic Altair Visualization/3. Encodings in Altair.mp4 231.7 MB
18. Python and MySQL/1. MySQL Installation on Windows.mp4 222.7 MB
11. Array Manipulation/1. Array Manipulation.mp4 198.8 MB
03. Python 3 on Raspberry Pi/5. Raspberry Pi Raspbian OS Setup Part 2.mp4 192.9 MB
18. Python and MySQL/2. Getting Started with MySQL and SQL Workbench.mp4 182.2 MB
07. Jupyter Notebook/6. A brief tour of Jupyter.mp4 160.5 MB
14. Plotting in Detail/3. Grid Axes and Labels.mp4 138.1 MB
08. Getting Started with NumPy/2. Ndarrays Indexing and Slicing.mp4 135.4 MB
03. Python 3 on Raspberry Pi/6. Remote Connection with VNC.mp4 128.6 MB
18. Python and MySQL/4. Explore MySQL Workbench.mp4 117.6 MB
17. Data Acquisition with Python, NumPy, and Matplotlib/3. Excel Files.mp4 116.4 MB
07. Jupyter Notebook/1. Jupyter and IPython.mp4 116.2 MB
21. Basic Altair Visualization/1. Installation and Basics.mp4 113.4 MB
19. Series and DataFrames in Pandas/2. DataFrames.mp4 110.3 MB
09. Creation of Arrays and Matplotlib/4. Numerical Ranges and Visualization.mp4 107.8 MB
18. Python and MySQL/6. Connect to MySQL with Python 3.mp4 102.8 MB
16. Matrices and Linear Algebra/6. Linear Algebra with SciPy.mp4 98.5 MB
18. Python and MySQL/7. Execute DDL.mp4 96.3 MB
18. Python and MySQL/8. INSERT.mp4 95.7 MB
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- 【影视】 Python Data Analysis with Pandas Library [UdemyLibrary.com]
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7. Indexing/2. Indexing Part2.mp4 623.6 MB
8. Dataframes Merging and Concatenating/2. Dataframes Merging and Concatenating.mp4 519.4 MB
2. Pandas Data Structures - Series/1. Pandas Data Structures - Series.mp4 151.9 MB
5. Selecting columns & rows from a Dataframe/1. Selecting columns & rows from a Dataframe.mp4 147.0 MB
3. Pandas Data Structures - Dataframes/1. Dataframes.mp4 105.1 MB
4. Playing with Dataframes/1. Playing with Dataframes.mp4 94.0 MB
6. Subsetting of Dataframes/1. Subsetting of Dataframes.mp4 62.4 MB
7. Indexing/1. Indexing Part1.mp4 50.7 MB
1. Introduction/1. Introduction.mp4 13.7 MB
8. Dataframes Merging and Concatenating/2. Dataframes Merging and Concatenating.srt 66.2 kB
7. Indexing/2. Indexing Part2.srt 64.4 kB
2. Pandas Data Structures - Series/1. Pandas Data Structures - Series.srt 25.6 kB
5. Selecting columns & rows from a Dataframe/1. Selecting columns & rows from a Dataframe.srt 20.5 kB
3. Pandas Data Structures - Dataframes/1. Dataframes.srt 17.4 kB
4. Playing with Dataframes/1. Playing with Dataframes.srt 16.2 kB
6. Subsetting of Dataframes/1. Subsetting of Dataframes.srt 7.8 kB
7. Indexing/1. Indexing Part1.srt 7.2 kB
1. Introduction/1. Introduction.srt 2.8 kB
[UdemyLibrary.com] Join for free courses and tutorials.txt 246 Bytes
8. Dataframes Merging and Concatenating/1. CSV Files to be used for dataframes merging and concatenating.html 155 Bytes
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- 【影视】 [Специалист] Программирование на Python 3. Уровень 4. Библиотеки Pandas, numpy, Matplotlib (2018)
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3.mp4 1.3 GB
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1.mp4 408.6 MB
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- 【影视】 [Michael Kennedy] Переход с Excel на Python с Pandas (2020)
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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
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
08 Case study walk through. Sales commissions/17-commission-state-adjustments.mp4 19.1 MB
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Pandas.2018.1080p.BluRay.x264.AAC5.1-[YTS.MX].mp4 837.7 MB
www.YTS.MX.jpg 53.2 kB
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- 【影视】 [FreeCourseSite.com] Udemy - Manage Finance Data with Python & Pandas Unique Masterclass
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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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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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- 【影视】 [FreeTutorials.Us] [UDEMY] Build an NBA Fantasy Projection Model in Python with Pandas [FTU]
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4. Pandas Building Blocks/13. Filtering Dataframes.mp4 96.5 MB
4. Pandas Building Blocks/16. Merging & Joining.mp4 93.7 MB
4. Pandas Building Blocks/7. Adding & Deleting Columns.mp4 83.8 MB
5. Building Our Model/10. Player Comparison Function.mp4 80.2 MB
6. Measuring Our Model/1. Using RSME to Evaluate Our Model.mp4 79.1 MB
5. Building Our Model/11. Projecting 2018-19 Season Stats.mp4 76.8 MB
5. Building Our Model/3. Normalizing Season Data.mp4 73.8 MB
5. Building Our Model/8. Weighting Stat Columns.mp4 72.9 MB
7. Winning Your Fantasy League/4. Draft Preparation.mp4 69.7 MB
5. Building Our Model/6. Calculating Player Similarity.mp4 66.9 MB
6. Measuring Our Model/2. Comparing to Competitors Pt. 1.mp4 65.7 MB
4. Pandas Building Blocks/18. Applying Functions.mp4 64.7 MB
7. Winning Your Fantasy League/3. Getting Our Baseline Numbers.mp4 62.8 MB
4. Pandas Building Blocks/5. Attributes & Methods.mp4 60.8 MB
4. Pandas Building Blocks/12. Sorting Dataframes.mp4 58.3 MB
4. Pandas Building Blocks/11. Inplace Parameter.mp4 55.7 MB
4. Pandas Building Blocks/14. Groupby.mp4 53.6 MB
5. Building Our Model/2. Cleaning NBA Data.mp4 53.6 MB
7. Winning Your Fantasy League/1. Converting to Fantasy Points.mp4 52.0 MB
4. Pandas Building Blocks/6. Selecting Columns.mp4 49.1 MB
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- 【影视】 Advanced Pandas
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[TutsNode.com] - Advanced Pandas/12 Reshaping dataframes (pivot, stack).mp4 14.0 MB
[TutsNode.com] - Advanced Pandas/13 Merging (merge, join) and concatenating (concat) dataframes.mp4 10.8 MB
[TutsNode.com] - Advanced Pandas/17 Accelerate EDA with pandas-Profiling.mp4 9.6 MB
[TutsNode.com] - Advanced Pandas/15 Plotting with pandas.mp4 9.5 MB
[TutsNode.com] - Advanced Pandas/09 Dealing with missing data using pandas.mp4 9.3 MB
[TutsNode.com] - Advanced Pandas/16 Correlations and statistical functions.mp4 9.3 MB
[TutsNode.com] - Advanced Pandas/14 Mapping variables into groups.mp4 9.0 MB
[TutsNode.com] - Advanced Pandas/18 Explore Geographic data with Geopandas.mp4 8.5 MB
[TutsNode.com] - Advanced Pandas/10 Apply Map Applymap.mp4 8.1 MB
[TutsNode.com] - Advanced Pandas/11 Groupby and aggregations using pandas.mp4 8.0 MB
[TutsNode.com] - Advanced Pandas/08 Working with dates using pandas.mp4 7.3 MB
[TutsNode.com] - Advanced Pandas/04 Top functions using pandas.mp4 7.0 MB
[TutsNode.com] - Advanced Pandas/06 Data type conversions using pandas.mp4 5.2 MB
[TutsNode.com] - Advanced Pandas/19 Beyond pandas with Dask and Koalas (Spark).mp4 5.2 MB
[TutsNode.com] - Advanced Pandas/07 Working with strings using pandas.mp4 5.1 MB
[TutsNode.com] - Advanced Pandas/03 Intro to DataFrames using pandas.mp4 5.1 MB
[TutsNode.com] - Advanced Pandas/05 Configuring options using pandas.mp4 3.7 MB
[TutsNode.com] - Advanced Pandas/01 Take pandas to the next level.mp4 2.8 MB
[TutsNode.com] - Advanced Pandas/20 Your path forward using advanced pandas functions.mp4 2.7 MB
[TutsNode.com] - Advanced Pandas/02 Getting started with pandas.mp4 2.1 MB
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- 【影视】 Pandas.TheJourneyHome(2014)3D-halfOU(Ash61)VO
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Pandas.TheJourneyHome(2014)3D-halfOU(Ash61)VO.mkv 5.6 GB
Pandas.TheJourneyHome(2014)Субтитры.Русские.Полные.srt 38.5 kB
Pandas.TheJourneyHome(2014)Sub.Eng.SDH.srt 27.6 kB
Pandas.TheJourneyHome(2014)Sub.Eng.Full.srt 27.1 kB
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- 【影视】 [FreeCourseSite.com] Udemy - Pandas with Python Tutorial
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1. Introduction/1. Introduction to Pandas with Python.mp4 38.9 MB
1. Introduction/1. Introduction to Pandas with Python.vtt 5.5 kB
2. Data Set/1. Understanding Jupiter Environment.mp4 22.0 MB
2. Data Set/1. Understanding Jupiter Environment.vtt 4.3 kB
2. Data Set/2. Reading the Data Set.mp4 61.9 MB
2. Data Set/2. Reading the Data Set.vtt 9.3 kB
2. Data Set/3. Series and Data Frame.mp4 21.7 MB
2. Data Set/3. Series and Data Frame.vtt 3.7 kB
2. Data Set/4. Operations in Data Set.mp4 26.7 MB
2. Data Set/4. Operations in Data Set.vtt 4.1 kB
2. Data Set/5. More on Panda Functions.mp4 49.5 MB
2. Data Set/5. More on Panda Functions.vtt 7.0 kB
2. Data Set/6. Column Names and Operation.mp4 82.5 MB
2. Data Set/6. Column Names and Operation.vtt 9.6 kB
2. Data Set/7. Removing Columns and Rows.mp4 22.5 MB
2. Data Set/7. Removing Columns and Rows.vtt 2.9 kB
2. Data Set/8. Sorting Data Frame.mp4 30.7 MB
2. Data Set/8. Sorting Data Frame.vtt 2.9 kB
2. Data Set/9. Filtering Data.mp4 61.8 MB
2. Data Set/9. Filtering Data.vtt 7.8 kB
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1. Introduction/1. Introduction to Pandas with Python.mp4 38.9 MB
1. Introduction/1. Introduction to Pandas with Python.vtt 5.5 kB
2. Data Set/1. Understanding Jupiter Environment.mp4 22.0 MB
2. Data Set/1. Understanding Jupiter Environment.vtt 4.3 kB
2. Data Set/2. Reading the Data Set.mp4 61.9 MB
2. Data Set/2. Reading the Data Set.vtt 9.3 kB
2. Data Set/3. Series and Data Frame.mp4 21.7 MB
2. Data Set/3. Series and Data Frame.vtt 3.7 kB
2. Data Set/4. Operations in Data Set.mp4 26.7 MB
2. Data Set/4. Operations in Data Set.vtt 4.1 kB
2. Data Set/5. More on Panda Functions.mp4 49.5 MB
2. Data Set/5. More on Panda Functions.vtt 7.0 kB
2. Data Set/6. Column Names and Operation.mp4 82.5 MB
2. Data Set/6. Column Names and Operation.vtt 9.6 kB
2. Data Set/7. Removing Columns and Rows.mp4 22.5 MB
2. Data Set/7. Removing Columns and Rows.vtt 2.9 kB
2. Data Set/8. Sorting Data Frame.mp4 30.7 MB
2. Data Set/8. Sorting Data Frame.vtt 2.9 kB
2. Data Set/9. Filtering Data.mp4 61.8 MB
2. Data Set/9. Filtering Data.vtt 7.8 kB
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- 【影视】 www.Torrenting.com - Tokyo.Eye.2020.S04E08.Ueno.Pandas.Parks.And.More.XviD-AFG
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Screens/screen0001.png 492.3 kB
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Tokyo.Eye.2020.S04E08.Ueno.Pandas.Parks.And.More.XviD-AFG.avi 1.0 GB
Tokyo.Eye.2020.S04E08.Ueno.Pandas.Parks.And.More.XviD-AFG.nfo 1.2 kB
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- 【影视】 [CourseClub.NET] PentesterAcademy - Pandas for Pentesters
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001-course-introduction.mp4 115.0 MB
002-lab-setup.mp4 45.5 MB
003-numpy.mp4 30.0 MB
004-numpy-basics.mp4 25.2 MB
005-numpy-boolean-indexing.mp4 17.1 MB
006-numpy-universal-functions.mp4 20.4 MB
007-pandas-series-basics.mp4 42.5 MB
008-pandas-series-vector-operations.mp4 23.8 MB
009-pandas-series-logical-string-operations.mp4 27.5 MB
010-pandas-series-misc.mp4 18.6 MB
011-pandas-dataframe-basics.mp4 48.6 MB
012-pandas-dataframe-operations-logical.mp4 19.6 MB
013-pandas-dataframe-apply-functions.mp4 26.8 MB
014-split-apply-combine-groupby.mp4 32.6 MB
015-split-apply-combine-aggregate.mp4 22.1 MB
016-split-apply-combine-filter-transform.mp4 25.6 MB
017-airodump-scan-part-1.mp4 145.5 MB
018-airodump-scan-part-2.mp4 94.8 MB
019-airodump-scan-part-3.mp4 109.9 MB
020-airodump-scan-part-4.mp4 110.0 MB
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- 【影视】 www.Torrenting.com - 20-20.2018.07.20.Pandas.XviD-AFG
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20-20.2018.07.20.Pandas.XviD-AFG.avi 613.6 MB
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Screens/screen0001.png 309.5 kB
Screens/screen0002.png 268.6 kB
Screens/screen0003.png 302.1 kB
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Screens/screen0001.png 279.5 kB
Screens/screen0002.png 258.0 kB
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04.Selecting, Filtering, and Sorting Data/0405.Review Indexing.mp4 4.0 MB
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