[GigaCourse.Com] Udemy - 2022 Python Data Analysis and Visualization Masterclass

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[GigaCourse.Com] Udemy - 2022 Python Data Analysis and Visualization Masterclass

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收录时间：2023-12-25
最近下载：2024-12-10

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文件列表

  • 01 - Introduction/003 DataAnalysisCourseMaterials.zip 126.4 MB
  • 01 - Introduction/001 Course Welcome & Curriculum Walkthrough.mp4 122.6 MB
  • 12 - Working With Dates & Times/011 SOLUTION Dates & Times.mp4 121.4 MB
  • 14 - Revisiting Pandas Plotting/018 EXERCISE Pandas Plotting Challenge #5.mp4 114.5 MB
  • 14 - Revisiting Pandas Plotting/017 EXERCISE Pandas Plotting Challenge #4.mp4 113.1 MB
  • 08 - Filtering DataFrames/006 Combining Conditions Using OR ().mp4 95.6 MB
  • 12 - Working With Dates & Times/009 Billboard Charts Dataset Exploration.mp4 93.2 MB
  • 20 - Seaborn/004 Seaborn Lineplots.mp4 90.7 MB
  • 08 - Filtering DataFrames/011 SOLUTION Filtering Exercise.mp4 90.1 MB
  • 04 - Dataframes & Datasets/007 Non-comma Separators Netflix Dataset.mp4 89.3 MB
  • 20 - Seaborn/005 The relplot() Method.mp4 89.1 MB
  • 08 - Filtering DataFrames/005 Combining Conditions Using AND (&).mp4 87.7 MB
  • 07 - Indexing & Sorting/013 SOLUTION Indexes & Sorting.mp4 87.2 MB
  • 04 - Dataframes & Datasets/010 SOLUTION DataFrames & Datasets.mp4 86.3 MB
  • 04 - Dataframes & Datasets/006 The Titanic Passenger Dataset Walkthrough.mp4 83.5 MB
  • 13 - Matplotlib/013 Creating Histograms.mp4 81.5 MB
  • 20 - Seaborn/003 Seaborn Scatterplots.mp4 78.9 MB
  • 13 - Matplotlib/018 Working With Subplots.mp4 78.5 MB
  • 13 - Matplotlib/020 EXERCISE Matplotlib Challenge #4.mp4 78.4 MB
  • 12 - Working With Dates & Times/007 Finding StarLink Flybys In UFO Dataset.mp4 75.7 MB
  • 15 - Grouping & Aggregating/002 Exploring Groups.mp4 75.7 MB
  • 13 - Matplotlib/007 Line Styles, Colors, Widths, and More!.mp4 74.9 MB
  • 05 - Basic DataFrame Methods & Computations/002 Sum & Count.mp4 74.5 MB
  • 10 - Updating Values/007 SOLUTION Updating Values Exercise.mp4 73.8 MB
  • 13 - Matplotlib/012 Creating Bar Plots.mp4 72.4 MB
  • 22 - Controlling Seaborn Aesthetics/004 Changing Color Palettes.mp4 72.0 MB
  • 04 - Dataframes & Datasets/003 Inspecting DataFrames head(), tail(), etc.mp4 71.4 MB
  • 12 - Working With Dates & Times/008 Date Math & TimeDeltas.mp4 71.3 MB
  • 12 - Working With Dates & Times/003 Specifying Fancy Formats With pd.to_datetime().mp4 71.3 MB
  • 21 - Seaborn Categorical Plots/002 Strip & Swarm Plots.mp4 71.0 MB
  • 12 - Working With Dates & Times/004 Dates and DataFrames.mp4 70.7 MB
  • 20 - Seaborn/001 Intro to Seaborn.mp4 67.1 MB
  • 06 - Series & Columns/010 SOLUTION Series & Plotting.mp4 66.7 MB
  • 20 - Seaborn/006 Resizing Seaborn Plots Aspect & Height.mp4 66.3 MB
  • 21 - Seaborn Categorical Plots/007 The Big Boy Catplot Method.mp4 64.6 MB
  • 14 - Revisiting Pandas Plotting/006 EXERCISE Pandas Plotting Challenge #1.mp4 64.1 MB
  • 06 - Series & Columns/008 Using plot() to visualize!.mp4 62.6 MB
  • 19 - Combining Series & DataFrames/008 Merge() On and Suffixes Arguments.mp4 62.0 MB
  • 15 - Grouping & Aggregating/003 Split-Apply-Combine.mp4 61.9 MB
  • 02 - Setup & Installation/002 Mac Installation Walkthrough.mp4 60.2 MB
  • 07 - Indexing & Sorting/001 Set_Index Basics.mp4 60.0 MB
  • 08 - Filtering DataFrames/002 Filtering With Comparison Operators.mp4 59.2 MB
  • 14 - Revisiting Pandas Plotting/005 Closer Look at Pandas Bar Plots.mp4 59.0 MB
  • 12 - Working With Dates & Times/005 The Useful dt Properties.mp4 59.0 MB
  • 11 - Working With Types and NA Values/004 dropna() and isna().mp4 58.7 MB
  • 21 - Seaborn Categorical Plots/006 Barplots.mp4 58.1 MB
  • 14 - Revisiting Pandas Plotting/003 Adding Labels and Titles to Pandas Plots.mp4 57.8 MB
  • 02 - Setup & Installation/003 Windows Installation Walkthrough.mp4 57.3 MB
  • 10 - Updating Values/005 Making Updates With loc[] and Boolean Masks.mp4 57.3 MB
  • 14 - Revisiting Pandas Plotting/015 Pandas Automatic Subplots.mp4 57.2 MB
  • 05 - Basic DataFrame Methods & Computations/005 Describe With Objects (Text) Values.mp4 57.1 MB
  • 15 - Grouping & Aggregating/004 Using The Agg Method.mp4 56.9 MB
  • 06 - Series & Columns/005 nlargest & nsmallest.mp4 56.5 MB
  • 07 - Indexing & Sorting/009 loc.mp4 56.4 MB
  • 13 - Matplotlib/009 Changing X & Y Ticks.mp4 55.7 MB
  • 04 - Dataframes & Datasets/005 The House Sales Dataset Walkthrough.mp4 55.6 MB
  • 17 - Working With Text/006 Replacing Portions of Strings With Replace().mp4 54.7 MB
  • 20 - Seaborn/011 The Amazing displot() Method.mp4 54.7 MB
  • 15 - Grouping & Aggregating/001 Introducing Groupby.mp4 53.9 MB
  • 08 - Filtering DataFrames/001 Filtering DataFrames With A Boolean Series.mp4 53.7 MB
  • 06 - Series & Columns/002 A Closer Look At Series.mp4 53.5 MB
  • 13 - Matplotlib/016 Creating Pie Charts.mp4 53.4 MB
  • 18 - Apply, Map, & Applymap/001 Applying Functions To Series.mp4 53.0 MB
  • 17 - Working With Text/001 The String Datatype Vs. Object Datatype.mp4 52.6 MB
  • 13 - Matplotlib/008 Plot Labels & Titles.mp4 52.0 MB
  • 16 - Hierarchical Indexing/004 Using .loc[] With A MultiIndex.mp4 52.0 MB
  • 16 - Hierarchical Indexing/006 get_level_values().mp4 51.7 MB
  • 17 - Working With Text/005 Splitting Text Values With Split().mp4 51.6 MB
  • 21 - Seaborn Categorical Plots/003 Boxplots.mp4 51.5 MB
  • 22 - Controlling Seaborn Aesthetics/002 Customizing Styles with set_style().mp4 51.3 MB
  • 04 - Dataframes & Datasets/002 pd.read_csv & DataFrames.mp4 50.2 MB
  • 09 - Adding & Removing Columns/001 Dropping Columns.mp4 49.9 MB
  • 06 - Series & Columns/007 The powerful value_counts() method.mp4 49.9 MB
  • 14 - Revisiting Pandas Plotting/016 Manual Subplots With Pandas.mp4 49.5 MB
  • 10 - Updating Values/002 The replace() method.mp4 49.3 MB
  • 13 - Matplotlib/019 Putting It All Together.mp4 49.2 MB
  • 09 - Adding & Removing Columns/008 SOLUTION AddingRemoving Columns & Rows.mp4 49.0 MB
  • 14 - Revisiting Pandas Plotting/013 UFOS Plotting Challenge!.mp4 48.8 MB
  • 09 - Adding & Removing Columns/002 Dropping Rows.mp4 48.1 MB
  • 16 - Hierarchical Indexing/001 Groupby With Multiple Columns.mp4 48.0 MB
  • 13 - Matplotlib/004 Anatomy of Plots.mp4 47.6 MB
  • 11 - Working With Types and NA Values/001 Casting Types With astype().mp4 47.4 MB
  • 12 - Working With Dates & Times/002 Converting With pd.to_datetime().mp4 47.0 MB
  • 02 - Setup & Installation/001 Introducing Jupyter Notebook!.mp4 46.8 MB
  • 16 - Hierarchical Indexing/009 Plotting With Unstack().mp4 45.7 MB
  • 06 - Series & Columns/001 Selecting A Single Column.mp4 45.3 MB
  • 04 - Dataframes & Datasets/001 Datasets & CSV.mp4 45.0 MB
  • 11 - Working With Types and NA Values/007 SOLUTION Dealing With NA Values.mp4 44.4 MB
  • 18 - Apply, Map, & Applymap/004 Apply() w DataFrames Rows.mp4 44.1 MB
  • 19 - Combining Series & DataFrames/007 Merge() w Left, Right, Inner, & Outer Joins.mp4 44.0 MB
  • 09 - Adding & Removing Columns/003 Adding Static Columns.mp4 43.3 MB
  • 16 - Hierarchical Indexing/003 Sorting A MultiIndex.mp4 43.2 MB
  • 09 - Adding & Removing Columns/004 Creating New Dynamic Columns.mp4 43.1 MB
  • 08 - Filtering DataFrames/007 Bitwise Negation.mp4 43.0 MB
  • 04 - Dataframes & Datasets/008 Overriding Headers Country Population Dataset.mp4 42.9 MB
  • 20 - Seaborn/009 Bivariate Distribution Plots.mp4 42.7 MB
  • 12 - Working With Dates & Times/006 Comparing Dates.mp4 42.4 MB
  • 17 - Working With Text/003 Indexing String Series With [].mp4 42.0 MB
  • 04 - Dataframes & Datasets/004 DataTypes and info().mp4 41.7 MB
  • 12 - Working With Dates & Times/001 Why Dates Matter.mp4 41.6 MB
  • 13 - Matplotlib/010 Adding Legends To Plots.mp4 41.5 MB
  • 20 - Seaborn/010 Rugplots.mp4 41.1 MB
  • 03 - Working With Jupyter Notebook/009 SOLUTION Jupyter Notebook.mp4 41.0 MB
  • 03 - Working With Jupyter Notebook/001 Creating Notebooks & Running Cells.mp4 41.0 MB
  • 20 - Seaborn/007 Seaborn Histograms.mp4 40.5 MB
  • 16 - Hierarchical Indexing/002 Creating a MultiIndex With set_index.mp4 40.2 MB
  • 13 - Matplotlib/002 Our First Matplotlib Plots!.mp4 40.0 MB
  • 09 - Adding & Removing Columns/006 Finding Largest Bitcoin Price Changes.mp4 39.4 MB
  • 05 - Basic DataFrame Methods & Computations/001 Min & Max.mp4 39.4 MB
  • 07 - Indexing & Sorting/002 set_index The World Happiness Index Dataset.mp4 38.2 MB
  • 14 - Revisiting Pandas Plotting/001 A Pandas Plotting Recap.mp4 37.9 MB
  • 13 - Matplotlib/011 EXERCISE Matplotlib Challenge #1.mp4 37.5 MB
  • 14 - Revisiting Pandas Plotting/012 Multiple Plots On The Same Axes.mp4 37.5 MB
  • 11 - Working With Types and NA Values/005 fillna().mp4 37.5 MB
  • 10 - Updating Values/001 Renaming Columns and Index Labels.mp4 37.3 MB
  • 03 - Working With Jupyter Notebook/004 Command Mode Shortcuts.mp4 37.2 MB
  • 13 - Matplotlib/015 Creating Scatter Plots.mp4 36.9 MB
  • 13 - Matplotlib/017 EXERCISE Matplotlib Challenge #3.mp4 36.6 MB
  • 07 - Indexing & Sorting/004 sort_values intro.mp4 36.6 MB
  • 08 - Filtering DataFrames/009 Filtering + Plotting Examples.mp4 36.5 MB
  • 14 - Revisiting Pandas Plotting/009 Pandas Line Plots.mp4 36.3 MB
  • 03 - Working With Jupyter Notebook/005 Cell Types Markdown Time!.mp4 35.9 MB
  • 19 - Combining Series & DataFrames/006 The DataFrame Merge() Method.mp4 35.8 MB
  • 03 - Working With Jupyter Notebook/002 Shutting Down The Notebook Server.mp4 35.3 MB
  • 12 - Working With Dates & Times/010 EXERCISE Dates & Times.mp4 35.2 MB
  • 13 - Matplotlib/001 Intro to Matplotlib.mp4 34.4 MB
  • 18 - Apply, Map, & Applymap/002 Apply() With Lambdas & Arguments.mp4 34.3 MB
  • 11 - Working With Types and NA Values/003 Casting With pd.to_numeric().mp4 34.2 MB
  • 11 - Working With Types and NA Values/002 Introducing the Category Type.mp4 33.6 MB
  • 14 - Revisiting Pandas Plotting/008 Box Plots.mp4 33.5 MB
  • 10 - Updating Values/004 Updating Multiple Values Using loc[].mp4 33.2 MB
  • 05 - Basic DataFrame Methods & Computations/007 SOLUTION Basic DataFrame Methods.mp4 33.2 MB
  • 07 - Indexing & Sorting/011 loc & iloc with Series.mp4 33.0 MB
  • 07 - Indexing & Sorting/010 iloc.mp4 32.5 MB
  • 16 - Hierarchical Indexing/008 Stack() and Unstack().mp4 32.4 MB
  • 14 - Revisiting Pandas Plotting/014 EXERCISE Pandas Plotting Challenge #3.mp4 32.1 MB
  • 05 - Basic DataFrame Methods & Computations/003 Mean, Median, & Mode.mp4 31.7 MB
  • 16 - Hierarchical Indexing/007 Hierarchical Columns.mp4 31.4 MB
  • 14 - Revisiting Pandas Plotting/010 EXERCISE Pandas Plotting Challenge #2.mp4 31.3 MB
  • 19 - Combining Series & DataFrames/001 Concatenating Series.mp4 31.1 MB
  • 06 - Series & Columns/004 unique & nunique.mp4 31.1 MB
  • 05 - Basic DataFrame Methods & Computations/004 Describe With Numeric Values.mp4 30.7 MB
  • 15 - Grouping & Aggregating/006 Named Aggregation.mp4 30.5 MB
  • 07 - Indexing & Sorting/012 EXERCISE Indexes & Sorting.mp4 30.4 MB
  • 21 - Seaborn Categorical Plots/005 Violinplots.mp4 30.4 MB
  • 13 - Matplotlib/006 Changing Matplotlib Stylesheets.mp4 30.2 MB
  • 13 - Matplotlib/005 Figsize & Plot Dimensions.mp4 30.1 MB
  • 17 - Working With Text/002 Upper(), Lower(), and Capitalize().mp4 29.9 MB
  • 01 - Introduction/003 Downloading The Course Materials IMPORTANT!!.mp4 29.8 MB
  • 17 - Working With Text/007 Testing Strings With Contains().mp4 29.8 MB
  • 13 - Matplotlib/014 EXERCISE Matplotlib Challenge #2.mp4 29.7 MB
  • 09 - Adding & Removing Columns/005 Finding The Highest pricesqft homes.mp4 29.6 MB
  • 08 - Filtering DataFrames/008 isna() and notna() Methods.mp4 28.7 MB
  • 22 - Controlling Seaborn Aesthetics/001 Changing Seaborn Themes.mp4 28.6 MB
  • 14 - Revisiting Pandas Plotting/019 Exporting Figures With savefig().mp4 28.5 MB
  • 10 - Updating Values/003 Updating Values Using loc[].mp4 28.4 MB
  • 08 - Filtering DataFrames/004 The isin() Method.mp4 28.0 MB
  • 07 - Indexing & Sorting/006 sorting text columns.mp4 28.0 MB
  • 19 - Combining Series & DataFrames/004 Concatenating DataFrames By Columns.mp4 28.0 MB
  • 20 - Seaborn/002 The Helpful load_dataset() method.mp4 27.9 MB
  • 16 - Hierarchical Indexing/010 Grouping By Index.mp4 27.8 MB
  • 07 - Indexing & Sorting/005 sorting by multiple columns.mp4 27.6 MB
  • 03 - Working With Jupyter Notebook/006 Restarting The Kernel.mp4 27.5 MB
  • 18 - Apply, Map, & Applymap/003 Apply() w DataFrames Columns.mp4 26.0 MB
  • 18 - Apply, Map, & Applymap/006 The ApplyMap() Method.mp4 25.9 MB
  • 09 - Adding & Removing Columns/007 EXERCISE AddingRemoving Columns & Rows.mp4 25.8 MB
  • 14 - Revisiting Pandas Plotting/011 Pandas Scatter Plots.mp4 24.8 MB
  • 07 - Indexing & Sorting/008 Sorting and Plotting!.mp4 23.5 MB
  • 19 - Combining Series & DataFrames/002 Concatenating Series By Index.mp4 23.2 MB
  • 03 - Working With Jupyter Notebook/007 Viewing The Docs Inside A Notebook.mp4 23.0 MB
  • 06 - Series & Columns/006 Selecting Multiple Columns.mp4 22.9 MB
  • 14 - Revisiting Pandas Plotting/004 Using rename() When Plotting.mp4 22.3 MB
  • 20 - Seaborn/008 KDE Plots.mp4 22.1 MB
  • 08 - Filtering DataFrames/003 The Between Method.mp4 21.9 MB
  • 02 - Setup & Installation/004 Installing Pandas & Matplotlib (Mac & Windows).mp4 21.8 MB
  • 07 - Indexing & Sorting/003 setting index with read_csv.mp4 21.5 MB
  • 14 - Revisiting Pandas Plotting/007 Pandas Histograms.mp4 20.7 MB
  • 07 - Indexing & Sorting/007 sort_index.mp4 20.3 MB
  • 21 - Seaborn Categorical Plots/001 Countplot.mp4 20.1 MB
  • 14 - Revisiting Pandas Plotting/002 Changing Pandas Plot Styles.mp4 19.7 MB
  • 17 - Working With Text/004 Stripping Whitespace With Strip().mp4 19.6 MB
  • 01 - Introduction/004 How The Exercises Work.mp4 19.6 MB
  • 19 - Combining Series & DataFrames/003 Inner vs. Outer Joins.mp4 19.3 MB
  • 06 - Series & Columns/009 EXERCISE Series & Plotting.mp4 19.1 MB
  • 22 - Controlling Seaborn Aesthetics/003 Altering Spines With despine().mp4 18.5 MB
  • 04 - Dataframes & Datasets/009 EXERCISE DataFrames & Datasets.mp4 18.3 MB
  • 06 - Series & Columns/003 Important Series Methods.mp4 18.2 MB
  • 01 - Introduction/002 What Do You Need To Know To Take This Course.mp4 17.6 MB
  • 18 - Apply, Map, & Applymap/005 The Series Map() Method.mp4 17.5 MB
  • 19 - Combining Series & DataFrames/005 Concatenating DataFrames By Index.mp4 17.2 MB
  • 10 - Updating Values/006 EXERCISE Updating Values.mp4 16.9 MB
  • 03 - Working With Jupyter Notebook/008 EXERCISE Jupyter Notebook.mp4 16.8 MB
  • 21 - Seaborn Categorical Plots/004 Boxenplots.mp4 16.1 MB
  • 15 - Grouping & Aggregating/005 Agg with Custom Functions.mp4 15.9 MB
  • 13 - Matplotlib/003 Do We Need plt.show().mp4 15.7 MB
  • 05 - Basic DataFrame Methods & Computations/006 EXERCISE Basic DataFrame Methods.mp4 14.1 MB
  • 16 - Hierarchical Indexing/005 Cross Sections With The XS Method.mp4 13.5 MB
  • 08 - Filtering DataFrames/010 EXERCISE Filtering.mp4 13.4 MB
  • 11 - Working With Types and NA Values/006 EXERCISE Dealing With NA Values.mp4 13.2 MB
  • 03 - Working With Jupyter Notebook/003 How Cell Output Works.mp4 6.4 MB
  • 12 - Working With Dates & Times/011 SOLUTION Dates & Times_en.srt 21.6 kB
  • 20 - Seaborn/004 Seaborn Lineplots_en.srt 18.5 kB
  • 08 - Filtering DataFrames/005 Combining Conditions Using AND (&)_en.srt 18.4 kB
  • 12 - Working With Dates & Times/009 Billboard Charts Dataset Exploration_en.srt 18.0 kB
  • 06 - Series & Columns/008 Using plot() to visualize!_en.srt 17.2 kB
  • 08 - Filtering DataFrames/006 Combining Conditions Using OR ()_en.srt 16.1 kB
  • 13 - Matplotlib/013 Creating Histograms_en.srt 15.9 kB
  • 13 - Matplotlib/018 Working With Subplots_en.srt 15.8 kB
  • 14 - Revisiting Pandas Plotting/017 EXERCISE Pandas Plotting Challenge #4_en.srt 15.5 kB
  • 20 - Seaborn/003 Seaborn Scatterplots_en.srt 15.5 kB
  • 15 - Grouping & Aggregating/002 Exploring Groups_en.srt 15.3 kB
  • 08 - Filtering DataFrames/011 SOLUTION Filtering Exercise_en.srt 15.2 kB
  • 16 - Hierarchical Indexing/004 Using .loc[] With A MultiIndex_en.srt 15.1 kB
  • 07 - Indexing & Sorting/001 Set_Index Basics_en.srt 14.9 kB
  • 06 - Series & Columns/010 SOLUTION Series & Plotting_en.srt 14.7 kB
  • 05 - Basic DataFrame Methods & Computations/002 Sum & Count_en.srt 14.7 kB
  • 19 - Combining Series & DataFrames/008 Merge() On and Suffixes Arguments_en.srt 14.6 kB
  • 13 - Matplotlib/004 Anatomy of Plots_en.srt 14.5 kB
  • 14 - Revisiting Pandas Plotting/018 EXERCISE Pandas Plotting Challenge #5_en.srt 14.4 kB
  • 13 - Matplotlib/012 Creating Bar Plots_en.srt 14.2 kB
  • 21 - Seaborn Categorical Plots/003 Boxplots_en.srt 14.2 kB
  • 15 - Grouping & Aggregating/003 Split-Apply-Combine_en.srt 14.1 kB
  • 06 - Series & Columns/002 A Closer Look At Series_en.srt 14.1 kB
  • 12 - Working With Dates & Times/005 The Useful dt Properties_en.srt 14.1 kB
  • 07 - Indexing & Sorting/013 SOLUTION Indexes & Sorting_en.srt 14.1 kB
  • 08 - Filtering DataFrames/001 Filtering DataFrames With A Boolean Series_en.srt 14.0 kB
  • 12 - Working With Dates & Times/003 Specifying Fancy Formats With pd.to_datetime()_en.srt 13.8 kB
  • 04 - Dataframes & Datasets/006 The Titanic Passenger Dataset Walkthrough_en.srt 13.8 kB
  • 20 - Seaborn/005 The relplot() Method_en.srt 13.7 kB
  • 20 - Seaborn/001 Intro to Seaborn_en.srt 13.7 kB
  • 21 - Seaborn Categorical Plots/002 Strip & Swarm Plots_en.srt 13.6 kB
  • 06 - Series & Columns/007 The powerful value_counts() method_en.srt 13.5 kB
  • 22 - Controlling Seaborn Aesthetics/004 Changing Color Palettes_en.srt 13.5 kB
  • 21 - Seaborn Categorical Plots/006 Barplots_en.srt 13.4 kB
  • 04 - Dataframes & Datasets/010 SOLUTION DataFrames & Datasets_en.srt 13.4 kB
  • 13 - Matplotlib/020 EXERCISE Matplotlib Challenge #4_en.srt 13.4 kB
  • 12 - Working With Dates & Times/008 Date Math & TimeDeltas_en.srt 13.4 kB
  • 04 - Dataframes & Datasets/007 Non-comma Separators Netflix Dataset_en.srt 13.2 kB
  • 01 - Introduction/001 Course Welcome & Curriculum Walkthrough_en.srt 13.0 kB
  • 11 - Working With Types and NA Values/004 dropna() and isna()_en.srt 13.0 kB
  • 12 - Working With Dates & Times/007 Finding StarLink Flybys In UFO Dataset_en.srt 12.8 kB
  • 16 - Hierarchical Indexing/003 Sorting A MultiIndex_en.srt 12.7 kB
  • 21 - Seaborn Categorical Plots/007 The Big Boy Catplot Method_en.srt 12.6 kB
  • 08 - Filtering DataFrames/002 Filtering With Comparison Operators_en.srt 12.5 kB
  • 05 - Basic DataFrame Methods & Computations/005 Describe With Objects (Text) Values_en.srt 12.1 kB
  • 12 - Working With Dates & Times/002 Converting With pd.to_datetime()_en.srt 12.1 kB
  • 10 - Updating Values/003 Updating Values Using loc[]_en.srt 12.0 kB
  • 14 - Revisiting Pandas Plotting/006 EXERCISE Pandas Plotting Challenge #1_en.srt 11.9 kB
  • 14 - Revisiting Pandas Plotting/015 Pandas Automatic Subplots_en.srt 11.9 kB
  • 18 - Apply, Map, & Applymap/001 Applying Functions To Series_en.srt 11.9 kB
  • 06 - Series & Columns/001 Selecting A Single Column_en.srt 11.8 kB
  • 07 - Indexing & Sorting/009 loc_en.srt 11.8 kB
  • 16 - Hierarchical Indexing/006 get_level_values()_en.srt 11.7 kB
  • 10 - Updating Values/007 SOLUTION Updating Values Exercise_en.srt 11.7 kB
  • 02 - Setup & Installation/003 Windows Installation Walkthrough_en.srt 11.7 kB
  • 04 - Dataframes & Datasets/003 Inspecting DataFrames head(), tail(), etc_en.srt 11.6 kB
  • 14 - Revisiting Pandas Plotting/003 Adding Labels and Titles to Pandas Plots_en.srt 11.5 kB
  • 03 - Working With Jupyter Notebook/006 Restarting The Kernel_en.srt 11.4 kB
  • 10 - Updating Values/002 The replace() method_en.srt 11.4 kB
  • 16 - Hierarchical Indexing/009 Plotting With Unstack()_en.srt 11.3 kB
  • 03 - Working With Jupyter Notebook/001 Creating Notebooks & Running Cells_en.srt 11.3 kB
  • 10 - Updating Values/005 Making Updates With loc[] and Boolean Masks_en.srt 11.3 kB
  • 13 - Matplotlib/002 Our First Matplotlib Plots!_en.srt 11.2 kB
  • 14 - Revisiting Pandas Plotting/005 Closer Look at Pandas Bar Plots_en.srt 11.1 kB
  • 20 - Seaborn/006 Resizing Seaborn Plots Aspect & Height_en.srt 11.0 kB
  • 15 - Grouping & Aggregating/004 Using The Agg Method_en.srt 10.9 kB
  • 03 - Working With Jupyter Notebook/004 Command Mode Shortcuts_en.srt 10.9 kB
  • 06 - Series & Columns/005 nlargest & nsmallest_en.srt 10.9 kB
  • 17 - Working With Text/001 The String Datatype Vs. Object Datatype_en.srt 10.9 kB
  • 02 - Setup & Installation/002 Mac Installation Walkthrough_en.srt 10.8 kB
  • 17 - Working With Text/006 Replacing Portions of Strings With Replace()_en.srt 10.7 kB
  • 03 - Working With Jupyter Notebook/009 SOLUTION Jupyter Notebook_en.srt 10.7 kB
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